immersive informatics - research data management at pitt ischool and carnegie mellon university...

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ImmersiveInformatics - RDM at Pitt iSchool Library Research Seminar VI, Illinois, October 2014 Professor Liz Lyon, School of Information Sciences, University of Pittsburgh

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ImmersiveInformatics -

RDM at Pitt iSchool

Library Research Seminar VI, Illinois, October 2014

Professor Liz Lyon, School of Information Sciences,

University of Pittsburgh

Agenda

1. Data, RDM and Libraries

2. The “immersive” model

3. Value and Benefits

http://www.flickr.com/photos/think

mulejunk/352387473/

http://www.google.co.uk/imgres?q=illumina+bgi&hl=en&client=firefox-

a&hs=Jl2&rls=org.mozilla:en-GB:official&biw=1366&bih

http://www.flickr.com/photos/wasp_barcode/4793484478/http://www.flickr.com/photos/charleswelch/3597432481//

http://www.flickr.com/photos/usfsregion5/4546851916//

Data

...

evidence, reproducibility,

curation, stewardship

Implications of

“Big Data” and

data science for

organisations in

all sectors

Predicts a

shortage of

190,000

data scientists

by 2019http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innov

ation/Big_data_The_next_frontier_for_innovation

Flavours of

data scientist (Lyon 2012)

• data engineer - focus on software

development, coding,

programming, tools

• data analyst – focus on

business/scientific analytics and

statistics e.g. R, SAS, Excel to

support researchers and modellers,

business

• data librarian – focus on

advocacy, research data

management / informatics in a

university / institute

• data steward – focus on long term

digital preservation, repositories,

archives, data centres

• data journalist – focus on telling

stories and news

New roles

New skills

…data librarian, research data services manager, data

scientist, technical data co-ordinator, data curator, data

analyst, data steward, chief data officer....

http://www.ala.org/acrl/sites/ala.org.acrl/files/content/publications/whitepapers/Tenopir_Birch_Allard.pdf

“Very few librarians are

likely to have specialist

scientific or medical

knowledge - if you train as

a research scientist or a

medic, you probably won’t

become a librarian.”

RLUK/Mary Auckland: Reskilling for Research 2012

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Data curation : domain disconnect ?

How best to make the domain connection?ImmersiveInformatics pilot development 2013

http://immersiveinformatics.org/

Co-developed UKOLN Informatics +

University of Melbourne

Focus on work-based RDM training

IDCC14 paper

Librarians &

researchers mix

10 modules

Immersive data

sessions in labs

Co-curate dataset

Keep “data diary”

Positive evaluation

Next step: Bring the

immersiveinformatics

model to iSchool data

education programs

• Visiting Professor @Pitt from January 2014

• Spring Semester – new Research Data

Management course first run as a Doctoral

Seminar Program Special Topic

Methodology

• 12 student participants for immersive session

scheduled for Week 8 Weds 26 February

• Doctoral students from Pitt (2), practicing

librarians from University of Pittsburgh (2) and

from Carnegie Mellon University (8)

• Lab placements set up by email / phone via

contacts and recommendations

• Immersive session for up to 3 hours in the lab

• Students work in pairs with a researcher

• Briefing note sent to Pitt faculty/researchers

• Students briefed during the RDM course

RDM Course @ Pitt iSchool

1. Introductions & Overview

2. Data Landscape

3. Universities & Data

4. Data Requirements &

Capability

5. RDM Roadmaps, Strategy,

Services & Structures

6. Data Management Plans

7. No Class – Fall Break

8. Immersive session

with Researchers

9. Disciplinary Data 1

10. Legal & Ethical Issues

11. Disciplinary Data 2

12. Data Centers

13. Data Advocacy, Skills,

Training

14. Data Sustainability &

Costs

15. Presentations

Immersive Unit Objectives Students will be able to:

• Observe research data practice “at the coalface” in

a selected discipline or sub-discipline

• Learn about disciplinary data creation, capture,

collection, manipulation, analysis etc.

• Understand data methodologies, tools, protocols,

instrumentation, workflows etc.

• Build first-hand experience of the day-to-day data

challenges and constraints for researchers

• Begin to provide RDM advocacy, advice and

guidance to researchers

Spring Semester

2014 immersives

Fall Semester 2014 RDM & RDI

• Research Data Management run as a MLIS

Masters course

• New Research Data Infrastructures (RDI)

Doctoral Seminar Program Special Topic

• Student participant numbers (Total=9) and

includes Librarians from Pitt and CMU

• Immersive session RDM in Week 8 and RDI

in Week 7 - up to 3 hours length in the lab

Research Data Infrastructures

1. No class Labor Day

2. Introductions, Syllabus

Overview & Data

Storage Part 1

3. Data Storage Part 2

4. Data Publication &

Citation Part 1

5. Data Publication &

Citation Part 2

6. Data Discovery

7. Immersive session

with Researchers

8. Disciplinary Data 3

9. Data Standards

10.Data Repositories

11.Data Preservation

(Long-term)

12.Citizen Science,

Citizen Data

13. Data Science

14. Data, Society,

Futures

15.Presentations &

Summary Evaluation

RDM & RDI

Fall Semester

2014

immersives

Biomedical

engineering

Evaluation feedback

• Collected from faculty and researchers via

1 hour focus group in department

– Semi-structured interview approach

• Collected from iSchool students via

questionnaire completed in class

– What worked well?

– What didn’t work at all / less well?

– What did you learn?

– How were Timings? Environment?

– How can the placements be improved?

Student feedback

“It was great to see a real-life example of how

a lab generates and uses data.”

“We learned not only about the specifics of

their research but about the lifecycle of data.”

“This was a valuable experience. It was very

practical and illuminated some of the struggles

that one may encounter in discussing data as

its own area of research.”

Faculty / Researcher feedback

“We talked about the project, I took them to the lab,

showed them cells, raw data, calculations, final

data, data which is stored and shared with the PI,

details kept in notebook, reagents, primers,

antibodies, PubMed, gene databases”

“Explaining what one does to a new person is

instructive, since it shows you what you do not

understand and cannot explain. Discussion with the

(LIS) student exposed some weaknesses in my

own thinking”

Process / methodology feedback

• Fall Semester RDM & RDI courses will have:

– more background information to Faculty e.g.

Propose agenda for session

– more guidance to students e.g. suggested

questions to faculty, topics to explore

– Class debrief sessions

“More communication needed beforehand –

context, agenda” (Faculty)

“a debriefing to compare notes either in the pairing

or as a larger group” (Student)

Value & benefits for libraries

CMU experience – Keith slides

A centre of expertise in digital information management

A centre of expertise in digital information management

• It is likely that the way that researchers publish, assess

impact, communicate, and collaborate will change more

within the next 20 years than it did in the past 200 years.

http://book.openingscience.org/

A centre of expertise in digital information management

Useful knowledge Useful knowledge

Sharable

knowledge

Sharable

knowledge

A centre of expertise in digital information management

A centre of expertise in digital information management

Research

collaboration is

associated with high

academic and wider

impact

International

collaboration is

associated with high

academic impact

Data can be shared

easily across borders

A centre of expertise in digital information management

More data will be created in the next five years than has been collected in the whole of human history. Properly managed, this data will form a major resource for Australian researchers.

A centre of expertise in digital information management

Why Data Management Services?

"The Board believes that timely attention to digital

research data sharing and management is fundamental

to supporting U.S. science and engineering in the twenty-

first century.

...strong and sustainable data sharing and management

policies [are] a critical national need."

Digital Research Data Sharing and Management

December 2011

Task Force on Data Policies

Committee on Strategy and Budget

National Science Board

A centre of expertise in digital information management

• The rapid development in computing

technology and the Internet have

opened up new applications for the

basic sources of research — the

base material of research data —

which has given a major impetus to

scientific work in recent years.

• Access to research data increases

the returns from public investment in

this area; reinforces open scientific

inquiry; encourages diversity of

studies and opinion; promotes new

areas of work and enables the

exploration of topics not envisioned

by the initial investigators.

• The value of data lies in their use.

Full and open access to scientific

data should be adopted as the

international norm for the exchange

of scientific data derived from publicly

funded research.

A centre of expertise in digital information management3

3

A centre of expertise in digital information management

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5

A centre of expertise in digital information management

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7

A centre of expertise in digital information management3

8

Institutions are to retain

research data, provide

secure data storage,

identify ownership, and

ensure security and

confidentiality of research

data

Researchers are to retain

research data and primary

materials, manage storage

of research data and

primary materials, maintain

confidentiality of research

data and primary materials.

A centre of expertise in digital information management3

9

A centre of expertise in digital information management4

0

A centre of expertise in digital information management

“The Holdren Memo”

To achieve the Administration’s commitment to

increase access to federally funded published

research and digital scientific data, Federal agencies

investing in research and development must have

clear and coordinated policies for increasing

such access.

Memo on Increasing Access to the Results of

Federally Funded Scientific Research

White House Office of Science and Technology

Policy

February 22, 2013

A centre of expertise in digital information management

Current priorities in academic

libraries

1. Continue and complete migration from print

to electronic and realign service operations

2. Retire legacy collections

3. Continue to repurpose library as primary

learning space

4. Reposition library expertise and resources to

be more closely embedded in research and

teaching enterprise outside library

5. Extend focus of collection development from

external purchase to local curation

Lewis (2007); Webster (2010, 2012)

A centre of expertise in digital information management

• The part that academic

librarians should play

remains unclear

• Raise awareness of

eResearch amongst

library staff

• Provide advice on data

management to

eResearchers

• Data curation is vast,

complex and requires

subject input

A centre of expertise in digital information management

• “The bad news is that I’m not sure they understand what goes on in the library other than taking out books.”

Benton Foundation, 1996

• “User perceptions negatively affect the ability of librarians to meet information needs simply because a profession cannot serve those who do not understand its purpose and expertise.”

Durrance, 1988

A centre of expertise in digital information management

The worst thing about

the stereotype is that it

impacts on the psyche

of librarians who really

begin to believe that

they don't deserve the

kingpin role

US Congress, 2001

A centre of expertise in digital information management

CORE SCHEMA, Body of Professional Knowledge, CILIP, 2004

A centre of expertise in digital information management

Collections grid

high low

low

hig

h

stewardship

un

iqu

en

ess

Books

JournalsNewspapers

Gov. docs

CD, DVD

Maps

Scores

Special

collectionsRare books

Local/Historical

newspapers

Local history materials

Archives & Manuscripts,

Theses & dissertations

Research, learning and

administrative

materials,

•ePrints/tech reports

•Learning objects

•Courseware

•E-portfolios

•Research data

•Institutional records

•Reports, newsletters, etc

Freely-accessible web

resourcesOpen source software

Newsgroup archives

http://www.slideshare.net/lisld/collections-grid

A centre of expertise in digital information management

Librarians’ competencies profile for RDM

Key roles

• Providing access to data

–Identification of data sets; discovery and analytic

tools; advice on informatics

• Advocacy and support for managing data

–Policy development; articulating benefits; promoting

data sharing and reuse; education and training; data

audits

• Managing data collections

–Preparing for data deposit; appraisal; selection;

ingestion; curation; preservation; storage and backup

48

A centre of expertise in digital information management

Core competencies

• Providing access to data

–Data centres and repositories; organization and

structure of data; licensing and IP; manipulation and

analysis

• Advocacy and support for managing data

–Research funder mandates; DMP; research

workflows; disciplinary norms; journal requirements;

data audit and assessment tools

• Managing data collections

–Metadata; discovery tools and indexing; database

design; data linking; forensic procedures in data

curation 49

Librarians’ competencies profile for RDM

A centre of expertise in digital information management

Data Management at

CMU Timeline

July

2013

September

2013

November

Dean appointed Data

Management

Services Group

DM Librarian

appointed

A centre of expertise in digital information management

December

2013

January

2014

February

2014

Initial

presentation

to Faculty

Senate

Faculty

Senate

resolution

CLIR Data

Curation

Fellows

A centre of expertise in digital information management

March

2014

April

2014

May

2014

Draft

detailed

strategy

Initial

consultation

First

‘graduates’

from

LIS2975

A centre of expertise in digital information management

What might our service offer?

• Teaching or doing?

• Compliance or support?

• Storage or registering?

• Policy advice vs policy development

• Institution-wide or in response to requests?

• Advising on data re-use (sources, analysis

etc)

A centre of expertise in digital information management

Core SteeringSupport Collaboration

A centre of expertise in digital information management55

A centre of expertise in digital information management

A centre of expertise in digital information management

uqkeithw

Keith

Webster

[email protected]

[email protected]

cmkeithw

Keith Webster

Thank you