hello!downloads.alcts.ala.org/...research_data_mgt_part1...all research data displayed in...

01/19/2016

1

2016 ALA Midwinter ALCTS Virtual Symposium, Part 1:

The Data Life Cycle & the Landscape of Library-Led Services

Hello!Who we are

Robin ChampieuxScholarly Communication Librarian, Oregon Health & Science University

Jennifer DotyResearch Data Librarian, Emory University

Christopher EakerData Curation Librarian, University of Tennessee

Jackie WirzResearch Data Ninja , Oregon Health & Science University

01/19/2016

2

Today’s Agenda

1. Research Life Cycle

2. Data Life Cycle

3. Introduction to the Gummy Bear

Challenge

4. RDM Service Landscape

5. Case Studies

1.The ResearchLife Cycle

01/19/2016

3

Intersections across the research lifecycle

Expertise & services

◎ Traditional◎ Emerging

How does the libraryaffect research?

Adapted from the University of Central Florida’s Research Lifecycle: http://library.ucf.edu/about/departments/scholarly-communication/

Research by neil Conway on Flickr / CC BY 2.0

01/19/2016

4

Planning Cycle

◎Literature Review

◎Citation Management Tools

◎Data Management Plans


Data Management Plans

◎Workshops

◎Consultations & DMP Reviews

◎DMPTool

01/19/2016

5

Information overload by Jorge Franganillo on Flickr / CC BY 2.0

Project Cycle

◎Metadata and Data Documentation◎Data Analysis Support


01/19/2016

6

https://behappy.me/metadata-is-a-love-note-to-the-future-heart-97740

Metadata

◎Metadata Standard Selection

◎README Templates

01/19/2016

7

IBM

162

0 in

Com

pute

r La

b by

Ed

Uth

man

on

Flic

kr /

CC

BY

-SA

2.0

Data Analysis Support

◎Locating and Acquiring Datasets

◎Specialized Software

01/19/2016

8

(publishing) by redspotted on Flickr / CC BY-NC 2.0

Publication Cycle

◎Where to Publish◎Author Rights/Licensing◎Public Access Compliance


01/19/2016

9

Public Access Compliance

◎Funder Requirements

◎Journal Policies

Tape library, CERN, Geneva by Cory Doctorow / CC BY-SA 2.0

01/19/2016

10

Digital Scholarship Cycle

◎Institutional Repositories◎Data Sharing◎Data Archiving


counting IIII (cc) by Martin Fisch on Flickr / CC BY-SA 2.0

01/19/2016

11

Discovery and Dissemination

◎Institutional Repositories

◎Data Sharing

◎Data Archiving

◎Citation Metrics

2.The Data Life Cycle

01/19/2016

12

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle

Adapted from DataONE: https://www.dataone.org/best-practices

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


01/19/2016

13

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


01/19/2016

14

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


01/19/2016

15

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


01/19/2016

16

Plan

Collect

Assure

Describe

Analyze

Preserve

Discover

Integrate

Data Life Cycle


3.The Gummy Bear Challenge

01/19/2016

17

SweetGummy BearsTeach RDM

GummyBearThe Groundbreaking Paper

01/19/2016

18

The Raw Datahttp://libguides.ohsu.edu/gummybear/

Bounces Amplitude Color

15 4 blue

43 3 red

58 9 green

75 82 purple

Haribo Gummi Bears Sugar Free 5lb Bag

01/19/2016

19

The Task

“Create a figure and figure legend containing:

1)An annotated image of the belly button of a Gummy Bear.2) Springiness by Gummy Bear color.

And

Create a methods section describing the experiment and analysis.

1

01/19/2016

20

“

Examine the data lifecycle, and map how your work may or may not have

followed the cycle.

2

Report BackSend me your challenge results –[email protected]

01/19/2016

21

4.RDM Service Landscape

Categories of Service

Education

Consultation

Infrastructure

From: Reznik-Zellen, Rebecca C.; Adamick, Jessica; and McGinty, Stephen. (2012). "Tiers of Research Data Support Services." Journal of eScience Librarianship 1(1): Article 5. http://dx.doi.org/10.7191/jeslib.2012.1002

01/19/2016

22

Levels of Investment

Low

Medium

High

◎ Low: Online resources

◎ Medium: One-off workshops

◎ High: Semester-long courses

Category: Education

Examples atLevels of

Investment

01/19/2016

23

Category: Consultation


Investment

◎ Low: Review DMPs as requested

◎ Medium: Best practices workshops

◎ High: Written into a grant

Category: Infrastructure


Investment

◎ Low: DMPTool

◎ Medium: External data repositories

◎ High: In-house data repository

01/19/2016

24

5.Case Studies

Researcher Education

Connecting to the community

01/19/2016

25

Data VisualizationLooking good

Need: No existing resources

Impact: Overfilled class, all ranks

Future: Sustainable model, consultations

01/19/2016

26

Data Viz – Levels of Service

Educationo Formal

nanocourse

o Sponsored Workshop

Consultationo Student research

projects

o Healthcare Quality

o Department overviews

Infrastructureo Software ?

Data Carpentry2 day workshops for intense geekery

01/19/2016

27

Need: No existing resources

Impact: Overfilled class, all ranks

Future: Collaborative expansion of model

Data Carpentry – Levels of Service

Educationo Continued

workshops

o Special interest groups

o Sponsored classes

Consultationo How to

establish a workshop

o Who to find on campus

Infrastructureo In house

instruction

01/19/2016

28

Data Rigor & ReproducibilityPartnerships in education

Need: NIH requirements

Impact: Engaged researchers, faculty

Future: Integrated requirements

01/19/2016

29

Rigorous Experimental Design &Transparency Taking it to the Next Level

NIH Requirements – Levels of Service

Educationo Co-develop

new classes

o Integrate into existing opportunities

Consultationo Point of need

consultations on relevant topics

Infrastructureo In house

instruction

o In house expertise

01/19/2016

30

BD2KNIH Education

Need: Big Data Trend

Impact: Diversify materials

Future: Focus scope and mission

01/19/2016

31

BD2K – Levels of Engagement

Minimalo Use online

modules

Mediumo Take online or

in-person courses as available

Higho Tailor OERs

for your use

o Write BD2K grants at your institution

Data LiteracyIntegration into Education Programs

01/19/2016

32

Need: Incorporate data literacy

Impact: Ground-floor incorporation

Future: Deep integration of library

Data Literacy – Levels of Service

Educationo Integrate into

current offerings

o Develop new workshops

o Develop new classes

Consultationo Students /

Researchers

o Administration

Infrastructureo Integrate into

curricula

o Integrate into policy

01/19/2016

33

Case Studies in Research Education: Review

Data Viz◎Connect on what is fun,

exciting and fresh ◎Consult individually◎Convince them that RDM is

important

Data Carpentry◎Dedicate time for data science◎Develop programming that fills

needs◎Deploy new partnerships and

models

NIH Requirements◎Be exciting – make

compliance as engaging and carrot-like as possible

◎Build partnerships on both faculty and student levels

BD2K◎ Identify gaps

◎Tailor to your needs

◎Make awesomeness

Data Literacy◎Get involved at the ground

level

The Policy Landscape

Helping researchers navigate & meet

RDMS requirements

01/19/2016

34

Increasingly, scholars & scientists must document and demonstrate…

How they will describetheir data to facilitate discovery and reuse.

How they will storeand secure their data.

How, where, and when they will share their data.

STOREDESCRIBE

SHARE

It’s an environment of growing pressures and rewards

Funding

Impact

Publication

01/19/2016

35

“All research data displayed in publications should be open,

machine-readable, and digitally accessible to the public at the

time of publication.

U.S. Department of Energy

28%Journals analyzed explicitly require data sharing

68%Papers published by all journals in the data set

90,100The number of papers published by these journals in 2013

01/19/2016

36

So, how might this look like froma service perspective?

Education

◎ Policies and standards web guides and alerts

◎ General and disciplinary focused workshops

Consultation

◎ DMP writing services and review

◎ Assisted Data Deposit

◎ Library FTE on grant budgets

Infrastructure

◎ DMPTool

◎ Institutional data repositories and archiving

◎ Integration with grant management systems

◎ Policy research & formation

01/19/2016

37

Knowing your environment =Building the most relevant approach

http://www.ohsu.edu/xd/education/library/data/index.cfm

01/19/2016

38

http://www.ohsu.edu/xd/education/library/data/index.cfm

Data RepositoriesThe wild west of giving

data a home

01/19/2016

39

Infrastructure and personnel: things to consider

What systems will you need to facilitate storage & access?

Who will set up the repository, maintain it, and assist with deposit?

Addressing unmet needs, building for reuse, & knowing what to open and keep

What to accept Level of curation Access & Preservation

01/19/2016

40

01/19/2016

41

Thanks!Any questions?

Robin [email protected]@rchampieux

Jennifer [email protected]@jbdoty

Christopher [email protected]@chris_eaker

Jackie [email protected]

Slide template adapted from Slide Carnival CC-BY

Upcoming ALCTS CE Opportunitieshttp://www.ala.org/alcts/confevents

Webinars

◎ Using MoUs to Build Partnerships without Pressure – February 10

◎ Environmental Monitoring and Control – March 2

◎ Care and Handling of Books and Scrapbooks – March 9

Webcourses

◎ Fundamentals of Cataloging – February 1-March 11

◎ Fundamentals of Acquisitions – February 8-March 18

◎ Fundamentals of Electronic Resources Acquisitions – February 8-March 4

Monthly e-Forums

◎ How Library Technical Services Can Support OER Initiatives – January 26-27

hello!downloads.alcts.ala.org/...research_data_mgt_part1...all research data displayed in...

Documents