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TRAINING UP AND REACHING OUT: LIBRARY STRATEGIES TO COORDINATE RESEARCH DATA MANAGEMENT ON CAMPUS October 27, 2015 Morgan Daniels Vanderbilt University [email protected] @morgand Ana Van Gulick Carnegie Mellon University [email protected] @anavangulick Scout Calvert UCLA [email protected] @windloochie Sarah Pickle Assessment Librarian The Claremont Colleges Library [email protected] @sarahepickle Stephanie Simms Research Data Specialist California Digital Library [email protected] @stephrsimms CLIR/DLF Postdoctoral Fellows in Data Curation

DLF Panel on RDM Strategies in the Library, Oct 2015

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Page 1: DLF Panel on RDM Strategies in the Library, Oct 2015

TRAINING UP AND REACHING OUT: LIBRARY STRATEGIES TO COORDINATE RESEARCH DATA MANAGEMENT ON CAMPUS

October 27, 2015

Morgan DanielsVanderbilt [email protected]@morgand

Ana Van GulickCarnegie Mellon [email protected]@anavangulick

Scout [email protected]@windloochie

Sarah PickleAssessment LibrarianThe Claremont Colleges [email protected]@sarahepickle

Stephanie SimmsResearch Data SpecialistCalifornia Digital [email protected]@stephrsimms

CLIR/DLF Postdoctoral Fellows in Data Curation

Page 2: DLF Panel on RDM Strategies in the Library, Oct 2015

Morgan DanielsCLIR Postdoctoral Fellow

Vanderbilt University@morgand

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One of Many Audiences (for a Balanced Communication Effort)

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Spreading the Word

From the Inside Out

Librarians

Faculty

Students

Research groups

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One View of

Information Flow

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Meetings

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Workshops

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Unexpected Connections

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Another Metaphor

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IT TAKES A CAMPUS

Ana Van GulickCarnegie Mellon [email protected]@anavangulick

Collaboration across campus to support research data

Listen to your stakeholders, get their buy-in, build up your services accordingly

Teamwork and triage in the library

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Campus Collaboration

Creating the RDMSC

Finding needs

Getting top-level buy-in

Roadmap for services and infrastructure

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Libraries

GraduateComputing

Services

UndergradVP of

Research

Faculty

RDMSC

RDM Steering Committee

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Building out.Training up.

Needs Assessment

Infrastructure – In house, outside, support

Services – team and training

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2014 Survey Results

2014 Survey, Van Tuyl & Michalek

There is a LOT of data

Most projects produce small amounts of data, but a few produce very large amounts of data

Data storage and back-up could be improved

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Priorities

2014 Survey, Van Tuyl & Michalek

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Working through the data lifecycle

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Teamwork & Triage

How do librarians and data staff get involved through the data lifecycle?

Triage

Carrot over Stick

Reaching out – grant awards as our introduction

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Triage

Data

Specialists

Data TeamMetadata & Repository

Specialists

Liaison LibrariansDMP’s, protocols, disciplinary repositories

and standards, best practices

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Carrots ONLY!Easy to implement, not adding burdens

Solve a existing pain point in the research workflow

Use a new grant award as a happy introduction opportunity

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We’re working on that.

Work in progress

But we’re here!

Stay current and engaged with research culture

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How is research data like a harmful algal bloom?:Getting the right metaphor for the job

Scout CalvertCLIR Postdoctoral Fellow

UCLA@windloochie

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Pfiesteria piscicida

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The Proverbial Elephant and Monks

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Research Data Lifecycle?

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Research Data Lifecycle?

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Lifecycle Lessons

• Data move in a clockwise direction.

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What we did

• 14 staff members, including librarians and library staff.

• Semi-structured interviews

• Walked through cycle stages to elicit specific skills, knowledge, and abilities

• Interviews transcribed and coded

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Unique Individuals per Stage

0

2

4

6

8

10

12

14

Lifecycle stage

Nu

mb

er

of

pe

op

le

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Unique Individuals by Expertise

0

2

4

6

8

10

12

14

Category of expertise

Nu

mb

er

of

pe

op

le

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Knowledge v. Skill

0

5

10

15

20

25

30

35

Skill

Knowledge

Lifecycle stage

Exp

ert

ise

me

nti

on

ed

[co

un

t]

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Research Data Lifecycle?

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Thanks to my fellow monks at UCLA:

Rikke Sarah Ogawa, MLIS, AHIPBethany Myers, MSLISVessela Ensberg, Ph.D., former CLIR Fellow.Tony Aponte, MLIS

Apologies to:Schrader, A. (2010). Responding to Pfiesteria piscicida

(the fish killer): Phantomatic ontologies, indeterminacy, and responsibility in toxic microbiology. Social Studies of Science 40(2), 275-306.

Questions, comments: [email protected]

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LISTEN. THEN MOBILIZE!

Planning the Research Data Working Group at Penn State Libraries

October 27, 2015 Sarah Pickle

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RDM at PSUL

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DMP-related guidance

Undefined interest in services for research data

Not on researchers’ map of RDM support

“Data” in 1 of ca. 500 PSUL titles

RDM at PSUL

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Motivations

Challenge 1: Providing support for

RDM wasn’t in anyone’s job

description.

How to bring them on board and

make them feel this is worth their

effort?

Challenge 2: Not everyone was

ready or confident enough to jump

right in.

How to develop a safe community

that would provide education,

training, and a sense of shared

purpose?

I was conducting outreach with

researchers and support staff to

uncover what help was needed and

what help already existed.

But I had the potential to become a

victim of my own success. I also

needed the support of my subject-

specialist colleagues.

Goal: Enlist my colleagues—who are

often already in researchers’

workflows—to work with me.

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RDWG

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R(e)DW(in)G

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RDWG

Planning efforts:

Recruited co-organizers.

Drafted proposal, which included phased-out plan to learn together, work toward creation of RDM handbook, implementation of coherent outreach strategy, and ongoing professional development.

Charged by AD.

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YES! But how?The goals outlined in the RDWG

proposal were well and good, but

they were ours…

How could they best match the

needs of the environment we were

working in?

NB: Question language differs slightly from text of questionnaire.

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YES! But how?Listen.

The goals outlined in the RDWG

proposal were well and good, but

they were ours…

How could they best match the

needs of the environment we were

working in?

NB: Question language differs slightly from text of questionnaire.

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YES! But how?Listen.

The goals outlined in the RDWG

proposal were well and good, but

they were ours…

How could they best match the

needs of the environment we were

working in?

NB: Question language represented here differs slightly from text of questionnaire.

How often do you talk with faculty and students about their research data?(n=73)

How confident do/would you feel when talking with faculty and students about their research data?(n=69)

What do you need to feel more confident talking with faculty and students about their research data?(n=37)

14%

23%

38%

25% often

sometimes

rarely

never

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YES! But how?Listen.

The goals outlined in the RDWG

proposal were well and good, but

they were ours…

How could they best match the

needs of the environment we were

working in?

NB: Question language represented here differs slightly from text of questionnaire.

How often do you talk with faculty and students about their research data?(n=73)

How confident do/would you feel when talking with faculty and students about their research data?(n=69)

What do you need to feel more confident talking with faculty and students about their research data?(n=37)

14%

23%

38%

25% often

sometimes

rarely

never

9%

25%

28%

25%

14%very

confident

neutral

not very

not at all

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YES! But how?Listen.

The goals outlined in the RDWG

proposal were well and good, but

they were ours…

How could they best match the

needs of the environment we were

working in?

NB: Question language represented here differs slightly from text of questionnaire.

*Categories created from open-text responses.

How often do you talk with faculty and students about their research data?(n=73)

How confident do/would you feel when talking with faculty and students about their research data?(n=69)

What do you need to feel more confident talking with faculty and students about their research data?(n=37)

14%

23%

38%

25% often

sometimes

rarely

never

9%

25%

28%

25%

14%very

confident

neutral

not very

not at all

51%

22%

help with resources* training/group

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RDWGMobilize!

May-July 2015

Half a dozen hour-long meetings

held with documentation posted on

group wiki. 10-12 faculty and staff

participants from across PSUL, both

subject and functional specialists.

Topics covered: defining data,

characterizing quantitative and

qualitative data, research data

lifecycle, key aspects of RDM

planning.

RDWG member questionnaire

asked about specific data-

related topics and was

intended to inform future

growth and track progress.

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RDWGChallenges

Hesitant to suggest topics and

volunteer to present.

How can they know what they don’t know enough to know that they want to know it?

Fear of scope creep in the

Libraries and “marketing”

services PSUL doesn’t (or

shouldn’t…) provide.

Confirmation of one original motivation for forming the group—no clear path for RDM support in PSUL—while also resisting an attempt to forge that path from the grassroots.

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RDWGGoing forward

The group is on a temporary hiatus,

partly due to the start of the new

semester, partly due to our hope for

RDM-related commitments the new

ADs, partly due to my leaving Penn

State.

But there’s momentum! Group

members now have a colleagues they

can turn to for support and a sense

of where to find help when they need

it.

Even if the future of RDM training

and community at PSUL takes a

different form, RDWG has broadened

awareness of RDM concerns and

needs on campus while confirming

interest in addressing them.

Maybe it has served as a proof of

concept for future grassroots

organizing in the Libraries.

Shared vocabulary, sense of project lifecycle

Resources on group wiki

New science data librarian

Onboarding two ADs interested in RDM

Uncertain future for RDWG,

but hopeful for RDM support

in the Libraries.

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Preliminary conclusions

I don’t know whether I succeeded—

it’s too early to tell—but the

attendance numbers and diversity

were promising. Group members felt

comfortable asking questions and

acknowledging where the limits of

their understanding were.

The hope is that the information I

gathered can be used not just as

justification for RDWG’s existence,

but also as a way to demonstrate

progress and build confidence in my

colleagues to provide RDM support.

Turning needs-assessment inward helped to take the

temperature of my colleagues and create a group

that they would value.

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Thank [email protected]@sarahepickle

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Stephanie SimmsResearch Data SpecialistCalifornia Digital Library@stephrsimms

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User Experience/UXWhat it isWhy it matters

“a person’s perceptions and

responses that result from the

use or anticipated use of a

product, system, or service”

-ISO 9241-210

Boston traffic sign image from www.tallahasseewebdesign.com

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http://researchdata.wisc.edu/

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Personas

Laura:

Mid-career oceanographer

Abby:

Science data librarian

Are you a faculty member, educator, project manager or

data librarian? Have you been intrigued by how DataONE

might relate to you and improve your work? Not sure

where to begin?

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Usability testing(assessment)

Content is King –

Usability is Queen

Flickr | Dominic Winsor

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UX = a strategy for RDM in libraries

Wikimedia Commons | Arenamontanus

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DISCUSSIONQ&A

Morgan DanielsVanderbilt [email protected]@morgand

Ana Van GulickCarnegie Mellon [email protected]@anavangulick

Scout [email protected]@windloochie

Sarah PickleAssessment LibrarianThe Claremont Colleges [email protected]@sarahepickle

Stephanie SimmsResearch Data SpecialistCalifornia Digital [email protected]@stephrsimms

CLIR/DLF Postdoctoral Fellows in Data Curation