rdap 16: building the research data community of practice

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Building the Research Data Community of Practice

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Page 1: RDAP 16: Building the Research Data Community of Practice

Building the Research Data Community of

Practice

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Panelists

Andrew Johnson - DataQ Sherry Lake - Virginia Collaborative Data Management BootcampBrianna Marshall - Midwest Data Librarian SymposiumRegina Raboin - NECDMC/eSci portalBrian Westra - DataCure

Moderator: Cynthia Hudson-Vitale, Washington University in St. Louis

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This project was made possible in part by the Institute of Museum and Library Services Sparks! Ignition Grant for Libraries SP-02-14-0020-14

Andrew JohnsonResearch Data Librarian

University of Colorado Boulder@PrezSeventeen

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Academic Libraries and Research Data Services(Tenopir, Birch, and Allard, 2012):

● “Reassigning existing library staff is the most common tactic for offering RDS. This approach also needs to be supported with professional development for staff so they can gain the required expertise to provide the full range of RDS”

● “When libraries provide research data services related to reference, consultation, or instruction, those services are most likely to be offered by individual librarians or library staff members who are subject discipline specialists.”

How do we provide support for individuals in these situations?

The Need

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● “Research data is intimidating!”

● “How can I take on research data support with so much else already on my plate?!”

● “I need practical tools to use to help researchers with their data”

But Also:

● “Helping faculty and students with their data is an increasingly important part of my liaison duties”

Librarian Feedback:

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DataQ is a web-based collaborative tool to support librarians who are engaging in research data services by providing:

● An online space for assistance and collaboration

● A community of research data experts and subject librarians

● A knowledge base of practical data information for librarians

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● Andrew Johnson, University of Colorado Boulder, PI

● Megan Bresnahan, Tufts University, Co-PI

● Joni Blake, GWLA

● Greg Monaco, GPN

● Ann Riley, ACRL

DataQ Advisory Board

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● Kathleen Fear, University of Rochester● Elena Feinstein, Duke University● Cynthia Hudson-Vitale, Washington University in St. Louis● Erica Johns, Cornell University● Sherry Lake, University of Virginia● Stanislav Pejša, Purdue University● Sarah Pickle, The Claremont Colleges● Amanda Rinehart, The Ohio State University● Yasmeen Shorish, James Madison University● Cecilia Smith, Texas A&M University● Shea Swauger, University of Colorado Denver● Steve Van Tuyl, Oregon State University● Mary Whelan, Arizona State University● Christie Wiley, University of Illinois at Urbana-Champaign● Jackie Wirz, Oregon Health and Science University

DataQ Editorial Team

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● Thea Atwood, University of Massachusetts Amherst● Carolyn Bishoff, University of Minnesota● Rebekah Cummings, University of Utah● Khue Dong, California State University, Long Beach● Christopher Eaker, University of Tennessee● Abigail Goben, University of Illinois at Chicago● Renaine Julian, Florida State University● Dessi Kirilova, Qualitative Data Repository● Chris Kollen, University of Arizona● Robert Olendorf, Los Alamos National Laboratory● Laura Palumbo, Rutgers University● Robert Sippel, Florida Institute of Technology● Dan Valen, Figshare

DataQ Project Volunteers

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● Ask all of your questions related to research data and libraries athttp://ResearchDataQ.org!

● Many ways to participate:○ Ask questions completely anonymously○ Ask questions and provide your email address to just our team for

follow-up and clarification purposes○ Register for a free DataQ account so that questions you ask will be

attributed to your username○ Comment on all questions and answers (requires free account)○ Browse or search answers to existing questions○ Follow us on Twitter: @ResearchDataQ

DataQ Website

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● ~18,000 site visits from ~4,000 users● 82 questions answered from these categories:

(Meta)DataQ

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● About research data and libraries?: http://ResearchDataQ.org/ask

● About the DataQ website?: http://ResearchDataQ.org/contact

● About the DataQ project?: [email protected]

Questions?

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Virginia Data Management Bootcamp

Sherry LakeScholarly Repository LibrarianUniversity of VirginiaMay 4, 2016

Building the Research Data Community of Practice

RDAP 2016

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Virginia Data Management Bootcamp

2013 2014 2015 2016

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Technology

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Technology

Delivery:● 4VA Telepresence rooms ● ODU, VCU, W&M direct dial to “trunk” or back end● Webex (2015 & 2016)● Recorded Sessions

Content:● UVA Collab (Course management system)● Google Docs

○ Planning (notes, agenda)○ Content Delivery ○ Question/Answer notes

● Libguides○ Links to google docs, software, agenda, schedule

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Content

2013

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http://guides.lib.odu.edu/VADMBC/

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Margaret E. Henderson, "Virginia Data Management Bootcamp: A Collaborative Initiative in Data Education" (April 9, 2015). University of Massachusetts and New England Area Librarian e-Science Symposium. Paper 5. http://escholarship.umassmed.edu/escience_symposium/2015/posters/5

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PlanningVA DM Bootcamp Team

• Meetings starting the summer before • Debriefings after bootcamps• Assessments – data after 2014 & 2015

Local (UVA Example)• Marketing• Registration• Room scheduling/ Food (sponsors)• Volunteers• Video Release Forms• Preparing copies of Handouts

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Assessment

MOST USEFUL SESSION

Intellectual property, copyright: The speaker was very thorough

and used plain English rather than "lawyer-speak".

MOST USEFUL SESSIONMethods to scrub messy data with OpenRefine. I had no idea

such things were possible and they will be so useful!

LEAST USEFULScholarly communication - nebulous subject

LEAST USEFULmetadata - i didn't really follow what they were talking about

ADDITIONAL COMMENTS SUGGESTIONS

I would say, keep doing this as it provides a great service to

researchers and librarians alike.

ADDITIONAL COMMENTS SUGGESTIONS

I felt that many of the topics did not go into depth

enough. I would have liked fewer topics, more in depth.

2014

MOST USEFUL SESSION any sessions where there were hands-on activities were good

I personally learned something new from each session and found them all to be very helpful.

Data Documentation and Metadata. My first time to learn the Meatdata concept.

LEAST USEFULmetadata - i didn't really follow what they were talking about

ADDITIONAL SUGGESTIONSBetter to have shorter more intense days. Maybe more days.Real data sets to work with.

Overall, how likely are you to recommend this training to your colleagues?78% likely/very likely

Length of bootcamp (2 full days, optional .5)- 59% too long

2015

Met expectations:92% agree/strongly agree

MOST USEFUL SESSIONIntellectual property, copyright: The speaker was very thorough and used plain English rather than "lawyer-speak".

OpenRefine/Data Wrangling

Hearing multiple perspectives from other universities

Methods to scrub messy data with OpenRefine. I had no idea such things were possible and they will be so useful!

LEAST USEFULScholarly communication - nebulous subject

ADDITIONAL COMMENTS SUGGESTIONSI felt that many of the topics did not go into depth enough. I would have liked fewer topics, more in depth.

I would say, keep doing this as it provides a great service to researchers and librarians alike.

The technology needs to be more stable so that all sites see and hear everything at the same time.

73% said length was just right

Overall, how likely are you to recommend this training to your colleagues?77% likely

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Assessment2014

MOST USEFUL SESSION any sessions where there were hands-on activities were good

I personally learned something new from each session and found them all to be very helpful.

Data Documentation and Metadata. My first time to learn the Meatdata concept.

LEAST USEFULmetadata - i didn't really follow what they were talking about

ADDITIONAL SUGGESTIONSBetter to have shorter more intense days. Maybe more days.Real data sets to work with.

Overall, how likely are you to recommend this training to your colleagues?78% likely/very likely

Length of bootcamp (2 full days, optional .5)- 59% too long

2015

Met expectations:92% agree/strongly agree

MOST USEFUL SESSIONIntellectual property, copyright: The speaker was very thorough and used plain English rather than "lawyer-speak".

OpenRefine/Data Wrangling

Hearing multiple perspectives from other universities

Methods to scrub messy data with OpenRefine. I had no idea such things were possible and they will be so useful!

LEAST USEFULScholarly communication - nebulous subject

ADDITIONAL COMMENTS SUGGESTIONSI felt that many of the topics did not go into depth enough. I would have liked fewer topics, more in depth.

I would say, keep doing this as it provides a great service to researchers and librarians alike.

The technology needs to be more stable so that all sites see and hear everything at the same time.

73% said length was just right

Overall, how likely are you to recommend this training to your colleagues?77% likely

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What’s Next?

• Involving more Virginia institutions

• Offer smaller workshops/ sessions throughout the year

• Larger collaboration (like DM Bootcamp) every-other year

• Do more non-workshop collaborations

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http://guides.lib.odu.edu/VADMBC/

State-wide Community of Practice

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Building the Research Data Community of Practice

University of Massachusetts Medical School

Regina Fisher Raboin

Associate Director, Library Education & Research

Lamar Soutter Library, University of Massachusetts Medical School

[email protected]

RDAP Summit 2016

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E-Science Portal for New England LibrariansA Librarian’s Link to e-Science Resources

Background

Goals

• Library roles in e-Science/Data Science

• Fundamentals of domain sciences

• Emerging trends in supporting networked scientific research

Project

• Collaborative initiative• Education, Application, Professional Development

• Outreach, Connections, Dissemination

• In-depth resource for data management and literacy; research environment

Results

• e-Science Symposium 2009 – 2016

• Science Boot Camp 2009 – 2016• Portal 2010 - 2016• Journal of eScience Librarianship

2012 - 2016

E-Science Portal

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New England e-Science Program

Community of Practice

180+ Librarians

Contributors

NN/LM NER

IMLS

BLC

NAHSL

Portal and Advisory Boards

DisseminationJournal of eScience

Librarianship

e-Science Community Blog

Twitter feeds

Tools/Resources

e-Science Portal

Content for RDM class

e-Science Thesaurus

Professional Development/EducationProfessional Development Day

e-Science Symposium

Science Boot Camp

Simmons GSLIS class

Course: How You Teach RDM

New England Collaborative Data Management Curriculum

(NECDMC)

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New England Collaborative Data Management Curriculum (NECDMC)

Background

Goals

• Built on Frameworks for Data Management Curriculum (IMLS/NNLM NER)

• Present and future researchers, students, and librarians data management learning needs

• Address federal compliance/ open data requirements

Project

• Phase 1: Collaboration with other libraries

• Modules, lesson plans, instructional materials, research cases; module evaluations

• Workshop resources and community feedback created

Results

• Phase 2: Local piloting• Phase 3: Piloting beyond

UMMS• Evaluation, assessment,

feedback

NECDMC(CC-BY)

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Assessment

NECDMC Pilot Sites

(22 sites)300+

Phase 1 - 20 questions, evaluations on

NECDMC site

Phase 2 – 12 questions, paper-based

Train-the-Trainers

(2 workshops, 2013 & 2014) 8011-15 questions per module, paper-based

handout

Flexible Clinical Experience (FCE) 1

Two electronic evaluation instruments

provided by School of Medicine (SOM):

one for instructors (8 quest.), one for

student

(22 questions, including open-ended)

Type of Education Attendees Assessment

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Lessons Learned

NECDMCModular format; cases; website

with ready-to-go content

Too much content; updating

Creating MOOC

Train-the-TrainersDemonstrations of teaching cases

and teaching methods for different

audiences;

customizability/flexibility

Time concernsPre-class surveys and encouraging

customization

Flexible Clinical ExperienceIncorporation of a research

project; use of research data

management tools (e.g.

LabArchives, DMPTool);

collaboration with UMMS IT

and IRB

Time investment and prep for

a 1 week course; branding;

needed more sophisticated

content; one student

Incorporating local examples of data

management content and activities;

increase marketing for course

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Future Vision

NECDMCMOOC (BD2K)

E-Science Program

Expand Nationally

Create Identity or Discipline

Potential Researcher

Portal

Roundtable Discussions

and Tools

Workshops

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Selected ResourcesE-Science Portal for New England Librarians; See especially ‘Data Management’, ‘Data Literacy’, and ‘Professional Education’, http://esciencelibrary.umassmed.edu/

Integrating Data Management Tools into Research Data Management Instruction, Rebecca Reznik-Zellen, Lisa A. Palmer and Julie Goldman, Poster Session, University of Massachusetts and New England Area e-Science Symposium, April 6, 2016. http://escholarship.umassmed.edu/escience_symposium/2016/posters/8/

Ishida, Mayu. 2014. "The New England Collaborative Data Management Curriculum Pilot at the University of Manitoba: A Canadian Experience." Journal of eScience Librarianship 3(1): e1061. http://dx.doi.org/10.7191/jeslib.2014.1061

Kafel, Donna, Myrna E. Morales, Robert J. Vander Hart, Sally A. Gore, Andrew Creamer, Javier Crespo, and Elaine R. Martin. 2012. "Building an e-Science Portal for Librarians: A Model of Collaboration." Journal of eScience Librarianship 1(1): e1005. http://dx.doi.org/10.7191/jeslib.2012.1005

New England Collaborative Data Management Curriculum (NECDMC); See especially ‘Resources from Workshops’, ‘Community Bulletin Board’, and ‘Join the Collaboration’, http://library.umassmed.edu/necdmc/index

New England Region eScience Program (Data Management Curriculum and Data Tools Forum)https://www.youtube.com/channel/UCmwetQc2pcwAwJYPDPucJIg

Piorun, Mary E., Donna Kafel, Tracey Leger-Hornby, Siamak Najafi, Elaine R. Martin, Paul Colombo, and Nancy R. LaPelle. 2012. "Teaching Research Data Management: An Undergraduate/Graduate Curriculum." Journal of eScience Librarianship 1(1): e1003. http://dx.doi.org/10.7191/jeslib.2012.1003

Peters, Christie, and Porcia Vaughn. 2014. "Initiating Data Management Instruction to Graduate Students at the University of Houston Using the New England Collaborative Data Management Curriculum." Journal of eScience Librarianship 3(1): e1064. http://dx.doi.org/10.7191/jeslib.2014.1064

Read, Kevin, Andrew T. Creamer, Donna Kafel, Robert J. Vander Hart, and Elaine R. Martin. 2013. "Building an eScience Thesaurus for Librarians: A Collaboration Between the National Network of Libraries of Medicine, New England Region and an Associate Fellow at the National Library of Medicine." Journal of eScience Librarianship 2(2): e1049. http://dx.doi.org/10.7191/jeslib.2013.1049

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Datacure

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Working together

Image by Wolfram Burner

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OriginsA ‘chance’ meeting: DigCCurr Professional Institute (2009/2010)

● Dianne Dietrich - Cornell● Susan Parham - Georgia Tech● Jake Carlson - Michigan● Brian Westra - Oregon● Barrie Hayes - UNC Chapel Hill

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Foundations

● Trust● Confidentiality● Small group● Unaffiliated

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Group dynamics

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Outcomes Confluence wiki → Wordpress web site

Email list → Google Group

Informal practice → Code of Conduct

Events list Wiki page → Drupal events calendar

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Outcomes Monthly conference calls

Conference proposals, articles

Data repository working group

Instruction working group

Letter to PLoS

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Opportunities and Challenges80/20

Growing membership, and growing the membership

Volunteer leadership

Unaffiliated

Expansion in lists, interest and working groups, meetings

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What’s next?

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Thank you!

Joining, code of conduct:https://goo.gl/MIsOLA

Brian [email protected]

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Discussion● How others can do the same or be involved, new initiatives, future

training

● Thoughts on how we can create, or whether or not we need, a more cohesive research data community of practice

● Where is there interest in a data services related topic - but little opportunity for support/training? (such as: reaching out to faculty, starting the conversations w/the research office, curating sensitive data, de-identifying/anonymizing data)