Re-Tooling the Library: Staffing to Support Data Management

July 30, 2012 University of Florida Data Management Workshop

Sherry Lake

The UVa Scientific Data Consulting Model

Other Models Takeaways Re-skilling

Outline

December/January 2010: rethinking the earlier research support model (due to budgetary pressures, changes in organizational priorities, emerging demand in research community)

Spring 2010: decision to focus on data May 2010: close of Research Computing Lab,

start-up of the Scientific Data Consulting Group (SciDaC)

3

Scientific Data Consulting Group

Take what we learned in the RCL experience and apply it to the focused demands around data

Steps: Conduct a stakeholder analysis Make a short term plan (12 months) Develop clear priorities Include Subject Librarians

Developing the SciDaC Model…

Stakeholder Analysis (abbreviated)

Internal

• Researchers• Graduate Students• Grant Administrators• Deans• VP/CIO• VPR• OSP• UL

External

• Funding agencies• Broader research

community• Broader

Library/Institution community

• “The Public”

Survey Office of Sponsored Programs to match grant holders with regulations

Educate/engage subject librarians Build political awareness/support Build partnerships with

local/national/international groups

Short Term Plan

1. Data Interviews/Assessments with science and engineering researchers

2. NSF Data Management Plan Requirement preparation and development of policies and workflow

3. Institutional Repository Data Working Group

Clear Priorities

Librarians as partners •Consult with and advise researchers•Provide leadership to the institution•Work with existing data organizations

In order to succeed, librarians need to:•Build and develop specific expertise•Facilitate communication

How to make this work…

UVa Library Staff Model Scientific Data Consultants Subject Librarians

Training Model Brown Bag Data Curation

Discussions Data Interviews

Goals and Objectives Build Data Literacy Create Collaborative

Opportunities Establish the Library for Data

Preservation

Training Librarians

University Libraries Data Consulting Growth Model

Importance in Sharing and Caring for Research Data

Data Preservation Funding Models

Group Facilitation: Planning Data Services & Setting Responsibilities for Science and Engineering

Science Data at Uva The Data Interview The Data Interview Top 10 Why is Data Management

Needed?

NSF DataNet Program Data Interview Method UVA Institutional Repository New Developments in Citing

Data Recap of First Three Data

Interviews Overview of Data Archiving

and Sharing Considerations for Data as

Intellectual Property Latest News on NSF Data

Management Plan Science & Engineering Data

Liaison Summary of Duties

Brown Bag Topics

Partnering with UVa Health Sciences Library

Adjunct member of SciDaC in a “residency” Spend 10 -12 hours/week in SciDaC

offices Served as a liaison between SciDaC and

HSL Participated in SciDaC activities

Interviews Data Management Plans Helped create NIH data management

template

Presentation by Andrea Horne at the MLA Annual Meeting 2012, Dealing with Data: Partnering to Support E-Science and Data Management on Campus

D2C2: Distributed Data Curation Centerhttp://d2c2.lib.purdue.edu

Centered in the Research Department of the Purdue University Libraries

Comprised of four core researchers Work closely with subject specialist liaisons

in discipline areas throughout the Libraries Actively engage researchers to address

problems of data curation in distributed environments

Purdue University Libraries

Business Information Specialist:Develop interdisciplinary collaborations and research opportunities with faculty to meet the University’s and the Libraries’ strategic directions.

Geographic Information Systems SpecialistAdvocates for best practices of geospatial data management, including using open source formats, appropriate documentation and use of metadata to enable downstream sharing of research data.

Purdue University Libraries

Data Management Serviceshttp://dmp.data.jhu.edu

Outgrowth from the Sheridan Libraries’ work on the Data Conservancy

Comprised of two consultants and one manager

Provide services and support to JHU PIs to prepare data management plans for proposals

Provide research data archiving services once an award has been made

Johns Hopkins University

Research Data Management Service Grouphttps://confluence.cornell.edu/display/rdmsgweb/Home Jointly sponsored by the SR VP for Research

and the University Librarian Has a faculty advisory board and a

management council RDMSG Consultants provide:

Single point of contact Guidance on data management planning Unified web presence Reference to Cornell’s appropriate services

Cornell University

Research Data Serviceshttp://researchdata.wisc.edu/ Collaboration between:

Data management plan help Consultations Training and education Referrals (data storage, security)

University of Wisconsin - Madison

• UW-Madison Libraries

• DoIT• CIO office

• The Graduate School• School of Library and

Information Studies

Ruresearchhttp://rucore.libraries.rutgers.edu/research/

Team: programmers, developers, data specialists, metadata librarians, and subject liaisons

Consulting on Data Management Plans and data best practices

Permanently archiving data in the RUresearch data portal

Work on larger and more complex data needs in grant-funded projects

Rutgers University

1. Investment is critical: infrastructure is important, but staff/services are critical

2. Gradual integration: doesn’t have to be creation of a new unit/center/etc., just needs to be a coordinated effort with a plan

3. Collaboration is fundamental: no single part of the institution has all the necessary expertise, focus on organizing the right people

4. Communicate: do your homework, come up with a message, get the team on the same page, and spread it far and wide (and over again)

Takeaways

Martin Lewis, U SheffieldNine areas to be active in relation to research data

© Information School / University of Sheffield 2012

Competencies for data managementData formats, Database design, Information modelling, Interface design, Operating systems, Programming, Servers, Software maintenance, Systems administration

Collaboration, Communication, Managing expectations, Negotiation, Relationship-building, Teamwork, Training

Budgeting, Business acumen, Contingency planning, Project management, Service marketing

Access rights, Collection management, Discovery tools, Information organisation, Intellectual property, Reference consultation, Service provision

Admin, Problem-solving, Risk-taking, Self-development, Time management

Terminology, Methodologies, Standards, Techniques, Workflows

Domain expertise

ComputerScience/IT

Library/Info Science

Interpersonal

Management

Personal

ICPSR Summer Course Applied Data Science: Managing Research Data for

Re-Use Data Curation Curriculum Search

database of programs and courses covering data curation and closely related fields

Borgman, UCLA Information Studies Syllabus for Data, Data Practices, and Data

Curation

Re-Skilling Existing Staff

Data Management Training to Support Faculty Research Need Each course divided into modules:

Tools: data model, metadata, ontologies Data Management: data preservation, data reuse, life

cycle of data Still developing content for more modules

RU Research Data Team Training

Research Data Management Across the Disciplines (LIS 341) Content available online Designed and developed by Wisconsin Research Data

Services Online version Digital Curation course (LIS 855)

Introduction to Research Data ManagementSept 10-Nov 30

http://www.slis.wisc.edu/continueed-DataMgmt.htm

Dorothea Salo Online Courses

Sherry LakeSenior Scientific Data Consultant, UVA Library

shlake@virginia.edu Twitter: shlakeuva Web: http://www.lib.virginia.edu/brown/data

References:Hunter, C., Lake, S., Lee, C., & Sallans, A. (2010). A Case Study in the

Evolution of Digital Services for Science and Engineering Libraries. Journal of Library Administration, 50(4), 335-347. doi:10.1080/01930821003667005.

Questions?

Corrall, S (2012), Skills Which Librarians Need, presentation at “Clarifying The Roles Of Libraries In Research Data Management: A Discussion Day To Find Creative Solutions”, RL UK http://www.rluk.ac.uk/content/clarifying-roles-libraries-research-data-management-discussion-day-find-creative-solutions

Lewis, M. (2010) Libraries and the management of research data, in McKnight, S. (ed.), Envisioning Future Academic Libraries Services: Initiatives,Ideas and Challenges, 145-168, Facet Publishing.

Many other Links on Zotero:https://www.zotero.org/groups/ufloridatraining/items

References

Title Slide 1. http://www.flickr.com/photos/grantloy/4577061495/ By grant_loy 2. http://www.flickr.com/photos/catchesthelight/3187651801/ By 

catchesthelight 3. http://www.flickr.com/photos/stevenm_61/2673806520/ By StevenM_61 4. http://www.flickr.com/photos/gregory-moine/4302464123/ By 

Gregory Moine 5. http://www.flickr.com/photos/54485353@N05/5784339186/ By janna487

Image References