Publishing your ResearchResearch Data Management

James Bisset jamesbissetdurhamacukAcademic Liaison Librarian (Research Support)

Sebastian Pałucha sebastianpaluchaduracukResearch Data Manager (CISLibrary)

Session outline- What is ldquoResearch Datardquo

- Small group activity

- What is ldquoResearch Data Managementrdquo - Data life cycle existing practice and policy

- Why Is Research Data Management important - Drivers for change Requirements on amp benefits for researchers

- How to manage and secure research data- Data Management Planning Document storage and back-up

- How To share data- Benefits of sharing data and tools available

Part 1

What is Research Data

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What is Research

Data

Part 1

What is Research Data

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What is Research

Data

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What is Research

Data

Questionnaires

Interview transcripts

Test answers

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Test answers

artefacts

specimens

photographs

film footage

algorithms Simulation software

models

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Lab notebooks

Field notebooks

Diaries

correspondence

Questionnaires

Interview transcripts

Code booksTest answers

artefacts

specimens

photographs

film footageMethodologies amp workflows

algorithms Simulation software

models

Grant applications

pdf

rtfdocx

xml

35mm

IX240

xls

spss

jpg

gif

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised)

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Research DataThere is no single or simple definition of what constitutes lsquoresearch datarsquo - it is used to support the production or

validation of original research - it can be lsquoborn digitalrsquo or it can be

analogue (and then digitised) - it is situational

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

Ship logbooks - historical record of events - data to reconstruct weather patterns - data on naval personnel (genealogical demographic) - extrapolation of data on ration provisions etc

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

CCTV footage - data on crime amp prevention - data on foot-fall - demographic data

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

Data can be used

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

Data can be used and re-used

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

Data can be used and re-used

for purposes you may not have thought of

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Data is situational

Data can be used and re-used

for purposes you may not have thought of

even after you have extracted all the value you

need from it

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

ldquo Research data is collected observed or created for purposes of

analysis to produce original research

resultsrdquo

Research Data Explained (2013) Edinburgh University MANTRA httpdatalibedinaacukmantra

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

Where is your data

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data - how would this impact upon your PhD

Part 2 What is

Research Data

Management

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data - how would this impact upon your PhD

Part 2 What is

Research Data

Management

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data - how would this impact upon your PhD

Part 2 What is

Research Data

Management

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

Where is your data

JISC RDM Survey - Russell Group institutions average over 2PB of data - significant data storage on external drives hard drives etc - 23 of institutions had lost research data - how would this impact upon your PhD

Part 2 What is

Research Data

Management

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

Part 2 What is

Research Data

Management

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

ldquo Research data management concerns the organisation of

data from its entry to the research cycle through to the dissemination and archiving of

valuable resultsrdquo

Whyte A Tedds J (2011) lsquoMaking the Case for Research Data Managementrsquo DCC Briefing Papers

httpwwwdccacukresourcesbriefing-papersmaking-case-rdm

Data Life-cycle

UK Data Archive wwwdata-archiveacukcreate-managelife-cycle

Durham RDM Policy

Part 3 Why

manage your data

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What are the benefits of

managing your data effectively

Part 3 Why

manage your data

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What are the benefits of

managing your data effectively

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What are the benefits of

managing your data effectively

Why manage your data

hellip it is a requirement

ldquoPublicly funded research data are a public good produced in the public

interest which should be made openly available with as few

restrictions as possible in a timely and responsible manner that does

not harm intellectual propertyrdquo

RCUK Common Principles on Data PolicyhttpwwwrcukacukresearchPagesDataPolicyaspx

hellip it is a requirement

ldquoPublicly funded research data are a public good produced in the public

interest which should be made openly available with as few

restrictions as possible in a timely and responsible manner that does

not harm intellectual propertyrdquo

RCUK Common Principles on Data PolicyhttpwwwrcukacukresearchPagesDataPolicyaspx

hellip it is a requirement

The European Commission is developing an Open Data Pilot to

ldquofacilitate research data registration discovery access and

re-userdquo

Horizon 2020 ndash Outline of a Pilot for Open Research Data http

wwwcoar-repositoriesorgfilesHorizon_2020_Open_Data_Pilot_20130703_finalpdf

hellip it is a requirement

hellip it is a requirement

hellip it is good practice

bull Knowing where it is aids retrieval

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

bull To safeguard your data from loss theft corruption or damage obsolescence

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is a requirement

hellip it is good practice

bull Knowing where it is aids retrieval

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

bull To safeguard your data from loss theft corruption or damage obsolescence

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is good practice

bull Knowing where it is aids retrieval

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

bull To safeguard your data from loss theft corruption or damage obsolescence

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

bull To safeguard your data from loss theft corruption or damage obsolescence

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is good practice

bull Knowing where it is aids retrieval

bull You may need to retrieve the data 3 months or 3 years after you have lsquocreatedrsquo it - eg when writing up your PhD or article

bull To safeguard your data from loss theft corruption or damage obsolescence

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is good practice

bull Project in 1986

bullMultiple formats of data (image video text) stored on Laser Disc

bull Copyright issues

httpwwwbbccouknewstechnology-13367398

httpenwikipediaorgwikiBBC_Domesday_Project

hellip it is good practice

hellip boosts your profile

ldquo10555 studies hellip we found that studies that made data available in a public repository received 9 more citations than similar studies for which the data was not made availablerdquo

Piowar H amp Vision T (2013) ldquoData reuse and the open data citation advantagerdquo PeerJ

httppeerjcomarticles175

hellip data can be re-used

bull You can share something which can be built upon in ways you might not have imagined - inter-disciplinary research - collaboration opportunities

hellip data can be re-used

bull You can share something which can be built upon in ways you might not have imagined - inter-disciplinary research - collaboration opportunities

bull Data can be tested and replicated - identify fraud and error - Fraud in cancer care - Sir Cyril Burt (1893-1971) Heritability of IQ - Reinhart-Rogoff revisited

hellip data can be re-used

bull You can share something which can be built upon in ways you might not have imagined - inter-disciplinary research - collaboration opportunities

bull Data can be tested and replicated - identify fraud and error - Fraud in cancer care - Sir Cyril Burt (1893-1971) Heritability of IQ - Reinhart-Rogoff revisited

Why manage your data

bull You are increasingly likely to be required to

bull It is good research practice - to defend your research publications - to secure against loss of data

bull It boost your citation potential

bull Your data can be re-used and replicated

Why manage your data

httpyoutubeN2zK3sAtr-4

Part 4 How to manage

and secure data

Data Management

Plans

Data Management Planning

bull The Majority of UK funders ask for a data management plan as part of a funding application

bull Purpose - to help you properly manage your data - to provide a funder with confidence that you are a good investment

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Why manage your data

httpyoutubeN2zK3sAtr-4

Part 4 How to manage

and secure data

Data Management

Plans

Data Management Planning

bull The Majority of UK funders ask for a data management plan as part of a funding application

bull Purpose - to help you properly manage your data - to provide a funder with confidence that you are a good investment

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Part 4 How to manage

and secure data

Data Management

Plans

Data Management Planning

bull The Majority of UK funders ask for a data management plan as part of a funding application

bull Purpose - to help you properly manage your data - to provide a funder with confidence that you are a good investment

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Data Management

Plans

Data Management Planning

bull The Majority of UK funders ask for a data management plan as part of a funding application

bull Purpose - to help you properly manage your data - to provide a funder with confidence that you are a good investment

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Data Management Planning

bull The Majority of UK funders ask for a data management plan as part of a funding application

bull Purpose - to help you properly manage your data - to provide a funder with confidence that you are a good investment

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Via Flickr Creative Commons by copy Stuti Sakhalkar Original available at httpwwwflickrcomphotostheblackcanvas2945878325

What questions might a data management plan need to

address

Questions to considerbull What is the story of the data

bull What form and format are the data in bull What is the expected lifespan of the data bull How could the date be used re-used or re-

purposed bull How large is the data set Will it grow bull Who are the potential audiences bull Who owns the data bull Is the data sensitive bull What publications are linked to the data bull How should the data be made accessible

Witt amp Carlson (2007) ldquoConducting a Data Interviewrdquo Scientist

Who is involvedbull Influences and dependencieshellip

- Researcher requirements - Funder and institutional requirements - Availability and suitability of data storage - Research Group requirements - Publisher requirements - Legal Requirements (FoI Copyright Ethics Data Protections)

Who is involvedbull Influences and dependencieshellip

- Researcher requirements - Funder and institutional requirements - Availability and suitability of data storage - Research Group requirements - Publisher requirements - Legal Requirements (FoI Copyright Ethics Data Protections)

Who is involvedbull Actors and interactions

- Researcher amp PI - Research Office - IT Business Partner for Research Research Data Manager - Librarians archivist record managers (metadata schema curation) - FOI officers - Technical and laboratory staff

DMP Online tool

httpdmponlinedccacuk

DMP Online tool

httpdmponlinedccacuk

Create a plan based on template

and answer the questions

and answer the questions

and answer the questions

and collaborate hellip

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

and answer the questions

and answer the questions

and answer the questions

and collaborate hellip

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

and answer the questions

and answer the questions

and collaborate hellip

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

and answer the questions

and collaborate hellip

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

and collaborate hellip

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

DM Plan common themes

bull Data collection what and how(ie volume format )

bull Documentation administrative data and metadata

bull Ethics and legal compliance(the FOI IPR and DP acts confidentiality and embargoes)

bull Storage and backup(day to day practices)

bull Data sharing and preservation(where who and when will have access)

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Storage and back-up

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Organising your data

bull plan a hierarchy of files and folders organised byhellip

- type of data (text image model sound video etc)

- type of research activity (survey interview etc) - type of material (documentation publication etc)

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Organising your data

bull Be systematic and consistent with naming conventions and housekeeping from the starthellip

- files should be sortable by name - filenames should indicate the lsquoversionrsquo - filenames should be easily

distinguisable

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Thinking about filenames

bull Names should be clear and descriptive - to both you and third parties

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

2013_12_12-CARD-RDM_presentation-v1_2pptx

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Thinking about filenames

bull Consider including elements in filenameshellip - Date 2013_12_12 - Project identifier CARD - Content descriptionRDM_presentation - Version v1_2

CARD2013_12_12-RDM_presentation-v1_2pptx

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Thinking about filenames

bull Pitfalls to avoid - Whitespace - Unsupported characters in filenames - Capitalisation

2013_12_12-RO-RDM_presentation-v12pptx

2013_12_12-RO-rdm_presentation-v12pptx

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Thinking about filenames

bull Discovery right file when needed

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Keeping track of data

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Data about Databull To keep track of datahellipbull hellip and to describe what data is

available to a secondary user

bull Spreadsheetbull Lab notebook

- electronic paperbull Database

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Data about Data

Data about Data

Data about Data

httpethesesduracuk8472

Data about Data

Data about Data

httpethesesduracuk8472

Data about Data

httpethesesduracuk8472

Metadatabull Simplendash readmetxtndash cover page

bull Advanced domain standards- DDI METS TEI QDE

Data formats

Data formatsbull Think about what format you are saving

your data inhellip

Prefer thishellip hellip over this

ASCII (human readable)(txt xml csv )

Binary formats(exe doc )

Open standard odt ods

Proprietary docx xlsx

Data back-up and security

Data back-upsbull Are you just digitising photocopyingbull Are you saving files into in multiple

locations (pendrives hard drive external hard drive)

bull Tip for Durham Research Students- - (stevens)(j) your Durham network drive

bull Other tools available SyncToy Time Machine Deja Dup

Data formats

Data formatsbull Think about what format you are saving

your data inhellip

Prefer thishellip hellip over this

ASCII (human readable)(txt xml csv )

Binary formats(exe doc )

Open standard odt ods

Proprietary docx xlsx

Data back-up and security

Data back-upsbull Are you just digitising photocopyingbull Are you saving files into in multiple

locations (pendrives hard drive external hard drive)

bull Tip for Durham Research Students- - (stevens)(j) your Durham network drive

bull Other tools available SyncToy Time Machine Deja Dup

Data formatsbull Think about what format you are saving

your data inhellip

Prefer thishellip hellip over this

ASCII (human readable)(txt xml csv )

Binary formats(exe doc )

Open standard odt ods

Proprietary docx xlsx

Data back-up and security

Data back-upsbull Are you just digitising photocopyingbull Are you saving files into in multiple

locations (pendrives hard drive external hard drive)

bull Tip for Durham Research Students- - (stevens)(j) your Durham network drive

bull Other tools available SyncToy Time Machine Deja Dup

Data back-up and security

Data back-upsbull Are you just digitising photocopyingbull Are you saving files into in multiple

locations (pendrives hard drive external hard drive)

bull Tip for Durham Research Students- - (stevens)(j) your Durham network drive

bull Other tools available SyncToy Time Machine Deja Dup

Data back-upsbull Are you just digitising photocopyingbull Are you saving files into in multiple

locations (pendrives hard drive external hard drive)

bull Tip for Durham Research Students- - (stevens)(j) your Durham network drive

bull Other tools available SyncToy Time Machine Deja Dup

Data security

bull Password vaultndash Do you use passwords gt8+ ndash Public Key Encryption (PKI) use 128 ndash 256

bull Virtual Encrypted Drivendash TrueCrypt FileVault

Data securitybull Secure Interent ProtocolsndashWiFi WPA2 but not WEPndash Browser HTTPSndash Virtual Private Network (VPN) Secure Shell

(SSH)

bull How to access j drive off campusndash DU MDS AnywherendashWinSPC Macfusion sftp

Part 5

Sharing your data

Sharing your data

Accessing shared data

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Data securitybull Secure Interent ProtocolsndashWiFi WPA2 but not WEPndash Browser HTTPSndash Virtual Private Network (VPN) Secure Shell

(SSH)

bull How to access j drive off campusndash DU MDS AnywherendashWinSPC Macfusion sftp

Part 5

Sharing your data

Sharing your data

Accessing shared data

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Part 5

Sharing your data

Sharing your data

Accessing shared data

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Sharing your data

Accessing shared data

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Accessing shared data

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Further Reading

bull DCC training materials on RDM - httpwwwdccacuktrainingtrain-trainerdisciplinary-rdm-trainingconceptualiseconceptualise

bull Examples of Research Data plans - httpreludata-archiveacukdata-sharingplanningexamples - httpwwwdccacukresourcesdata-management-plansguidance-examples

bull Data Management Plan templates - httpsdmponlinedccacuk

Questions hellip

[15] Via Flickr Creative Commons and by L Whittaker Available at httpwwwflickrcomphotos7577311N061490557341

Image Credits[3] Via Flickr Creative Commons and by Eric Fischer Available at httpwwwflickrcomphotos24431382N034671562937

[31] Via Flickr Creative Commons and by barks photo stream Available at httpwwwflickrcomphotos49503168860N014257136773

[48] Via Flickr Creative Commons and by Darwin Bell Available at httpwwwflickrcomphotosdarwinbell1454251440

[16] Via Flickr Creative Commons and by What What Available at httpwwwflickrcomphotos99136715N0026553280 [27] Via Flickr Creative Commons and by FutUndBeidl Available at httpwwwflickrcomphotos61423903N067369580478

[15] Via Flickr Creative Commons and by L Whittaker Available at httpwwwflickrcomphotos7577311N061490557341

Image Credits[3] Via Flickr Creative Commons and by Eric Fischer Available at httpwwwflickrcomphotos24431382N034671562937

[31] Via Flickr Creative Commons and by barks photo stream Available at httpwwwflickrcomphotos49503168860N014257136773

[48] Via Flickr Creative Commons and by Darwin Bell Available at httpwwwflickrcomphotosdarwinbell1454251440

[16] Via Flickr Creative Commons and by What What Available at httpwwwflickrcomphotos99136715N0026553280 [27] Via Flickr Creative Commons and by FutUndBeidl Available at httpwwwflickrcomphotos61423903N067369580478

Image Credits[81] Via Flickr Creative Commons and by binnyva Available at httpwwwflickrcomphotos61999649N008600465534

[Slides 63-66] Vitaereg copy 2010 Careers Research and Advisory Centre (CRAC) Limitedlsquo Available at wwwvitaeacukrdf

Measuring Researche

r Developm

ent

Measuring Researcher Developm

ent

Measuring Researcher Development

Measuring Researcher Development

• Publishing your Research
• Session outline
• Part 1 What is Research Data
• What is Research Data
• Slide 5
• Slide 6
• Slide 7
• Slide 8
• Slide 9
• Slide 10
• Research Data
• Research Data (2)
• Research Data (3)
• Research Data (4)
• Data is situational
• Data is situational (2)
• Data is situational (3)
• Data is situational (4)
• Data is situational (5)
• Data is situational (6)
• Slide 21
• Where is your data
• Where is your data (2)
• Where is your data (3)
• Where is your data (4)
• Where is your data (5)
• Slide 28
• Slide 29
• Data Life-cycle
• Durham RDM Policy
• Part 3 Why manage your data (2)
• What are the benefits of managing your data effectively
• Why manage your data
• hellip it is a requirement
• hellip it is a requirement (2)
• hellip it is a requirement (3)
• hellip it is a requirement (4)
• hellip it is good practice
• hellip it is good practice (2)
• hellip it is good practice (3)
• hellip it is good practice (4)
• hellip it is good practice (5)
• hellip boosts your profile
• hellip data can be re-used
• hellip data can be re-used (2)
• Why manage your data (2)
• Why manage your data (3)
• Slide 52
• Slide 53
• Data Management Planning
• What questions might a data management plan need to address
• Questions to consider
• Who is involved
• Who is involved (2)
• DMP Online tool
• Create a plan based on template
• and answer the questions
• and answer the questions (2)
• and answer the questions (3)
• and collaborate hellip
• DM Plan common themes
• Slide 66
• Organising your data
• Organising your data (2)
• Thinking about filenames
• Thinking about filenames (2)
• Thinking about filenames (3)
• Thinking about filenames (4)
• Thinking about filenames (5)
• Slide 74
• Data about Data (3)
• Data about Data (5)
• Data about Data (7)
• Data about Data (8)
• Metadata
• Slide 85
• Data formats
• Slide 87
• Data back-ups (3)
• Slide 91
• Data security
• Data security (2)
• Part 5 Sharing your data
• Sharing your data
• Accessing shared data
• Further Reading
• Slide 98
• Image Credits
• Image Credits (2)
• Measuring Researcher Development
• Measuring Researcher Development (2)
• Measuring Researcher Development (3)
• Measuring Researcher Development (4)

Measuring Researcher Developm

ent

Measuring Researcher Development

Measuring Researcher Development

• Publishing your Research
• Session outline
• Part 1 What is Research Data
• What is Research Data
• Slide 5
• Slide 6
• Slide 7
• Slide 8
• Slide 9
• Slide 10
• Research Data
• Research Data (2)
• Research Data (3)
• Research Data (4)
• Data is situational
• Data is situational (2)
• Data is situational (3)
• Data is situational (4)
• Data is situational (5)
• Data is situational (6)
• Slide 21
• Where is your data
• Where is your data (2)
• Where is your data (3)
• Where is your data (4)
• Where is your data (5)
• Slide 28
• Slide 29
• Data Life-cycle
• Durham RDM Policy
• Part 3 Why manage your data (2)
• What are the benefits of managing your data effectively
• Why manage your data
• hellip it is a requirement
• hellip it is a requirement (2)
• hellip it is a requirement (3)
• hellip it is a requirement (4)
• hellip it is good practice
• hellip it is good practice (2)
• hellip it is good practice (3)
• hellip it is good practice (4)
• hellip it is good practice (5)
• hellip boosts your profile
• hellip data can be re-used
• hellip data can be re-used (2)
• Why manage your data (2)
• Why manage your data (3)
• Slide 52
• Slide 53
• Data Management Planning
• What questions might a data management plan need to address
• Questions to consider
• Who is involved
• Who is involved (2)
• DMP Online tool
• Create a plan based on template
• and answer the questions
• and answer the questions (2)
• and answer the questions (3)
• and collaborate hellip
• DM Plan common themes
• Slide 66
• Organising your data
• Organising your data (2)
• Thinking about filenames
• Thinking about filenames (2)
• Thinking about filenames (3)
• Thinking about filenames (4)
• Thinking about filenames (5)
• Slide 74
• Data about Data (3)
• Data about Data (5)
• Data about Data (7)
• Data about Data (8)
• Metadata
• Slide 85
• Data formats
• Slide 87
• Data back-ups (3)
• Slide 91
• Data security
• Data security (2)
• Part 5 Sharing your data
• Sharing your data
• Accessing shared data
• Further Reading
• Slide 98
• Image Credits
• Image Credits (2)
• Measuring Researcher Development
• Measuring Researcher Development (2)
• Measuring Researcher Development (3)
• Measuring Researcher Development (4)

Measuring Researcher Development

Measuring Researcher Development

• Publishing your Research
• Session outline
• Part 1 What is Research Data
• What is Research Data
• Slide 5
• Slide 6
• Slide 7
• Slide 8
• Slide 9
• Slide 10
• Research Data
• Research Data (2)
• Research Data (3)
• Research Data (4)
• Data is situational
• Data is situational (2)
• Data is situational (3)
• Data is situational (4)
• Data is situational (5)
• Data is situational (6)
• Slide 21
• Where is your data
• Where is your data (2)
• Where is your data (3)
• Where is your data (4)
• Where is your data (5)
• Slide 28
• Slide 29
• Data Life-cycle
• Durham RDM Policy
• Part 3 Why manage your data (2)
• What are the benefits of managing your data effectively
• Why manage your data
• hellip it is a requirement
• hellip it is a requirement (2)
• hellip it is a requirement (3)
• hellip it is a requirement (4)
• hellip it is good practice
• hellip it is good practice (2)
• hellip it is good practice (3)
• hellip it is good practice (4)
• hellip it is good practice (5)
• hellip boosts your profile
• hellip data can be re-used
• hellip data can be re-used (2)
• Why manage your data (2)
• Why manage your data (3)
• Slide 52
• Slide 53
• Data Management Planning
• What questions might a data management plan need to address
• Questions to consider
• Who is involved
• Who is involved (2)
• DMP Online tool
• Create a plan based on template
• and answer the questions
• and answer the questions (2)
• and answer the questions (3)
• and collaborate hellip
• DM Plan common themes
• Slide 66
• Organising your data
• Organising your data (2)
• Thinking about filenames
• Thinking about filenames (2)
• Thinking about filenames (3)
• Thinking about filenames (4)
• Thinking about filenames (5)
• Slide 74
• Data about Data (3)
• Data about Data (5)
• Data about Data (7)
• Data about Data (8)
• Metadata
• Slide 85
• Data formats
• Slide 87
• Data back-ups (3)
• Slide 91
• Data security
• Data security (2)
• Part 5 Sharing your data
• Sharing your data
• Accessing shared data
• Further Reading
• Slide 98
• Image Credits
• Image Credits (2)
• Measuring Researcher Development
• Measuring Researcher Development (2)
• Measuring Researcher Development (3)
• Measuring Researcher Development (4)

Measuring Researcher Development

• Publishing your Research
• Session outline
• Part 1 What is Research Data
• What is Research Data
• Slide 5
• Slide 6
• Slide 7
• Slide 8
• Slide 9
• Slide 10
• Research Data
• Research Data (2)
• Research Data (3)
• Research Data (4)
• Data is situational
• Data is situational (2)
• Data is situational (3)
• Data is situational (4)
• Data is situational (5)
• Data is situational (6)
• Slide 21
• Where is your data
• Where is your data (2)
• Where is your data (3)
• Where is your data (4)
• Where is your data (5)
• Slide 28
• Slide 29
• Data Life-cycle
• Durham RDM Policy
• Part 3 Why manage your data (2)
• What are the benefits of managing your data effectively
• Why manage your data
• hellip it is a requirement
• hellip it is a requirement (2)
• hellip it is a requirement (3)
• hellip it is a requirement (4)
• hellip it is good practice
• hellip it is good practice (2)
• hellip it is good practice (3)
• hellip it is good practice (4)
• hellip it is good practice (5)
• hellip boosts your profile
• hellip data can be re-used
• hellip data can be re-used (2)
• Why manage your data (2)
• Why manage your data (3)
• Slide 52
• Slide 53
• Data Management Planning
• What questions might a data management plan need to address
• Questions to consider
• Who is involved
• Who is involved (2)
• DMP Online tool
• Create a plan based on template
• and answer the questions
• and answer the questions (2)
• and answer the questions (3)
• and collaborate hellip
• DM Plan common themes
• Slide 66
• Organising your data
• Organising your data (2)
• Thinking about filenames
• Thinking about filenames (2)
• Thinking about filenames (3)
• Thinking about filenames (4)
• Thinking about filenames (5)
• Slide 74
• Data about Data (3)
• Data about Data (5)
• Data about Data (7)
• Data about Data (8)
• Metadata
• Slide 85
• Data formats
• Slide 87
• Data back-ups (3)
• Slide 91
• Data security
• Data security (2)
• Part 5 Sharing your data
• Sharing your data
• Accessing shared data
• Further Reading
• Slide 98
• Image Credits
• Image Credits (2)
• Measuring Researcher Development
• Measuring Researcher Development (2)
• Measuring Researcher Development (3)
• Measuring Researcher Development (4)