re tooling for data management-support
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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
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