NISO Forum, Denver, Sept. 24, 2012: DataCite and Campus Data Services

DataCite and Campus Data Services

24 September 2012

Paul J. BrackeAssociate Dean for Digital Programs and Information AccessPurdue University Libraries

Overview

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• Data Services and Libraries• Campus Data Services at Purdue• DataCite• Data Citation and Campus Data Services

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Data and Libraries

Data and Libraries

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• Role of libraries in data management has been a focus of discussion

• Academic libraries collect, preserve, and disseminate human knowledge, within the context of a particular institution (Research and Teaching)

Drivers

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• Increased interest in computational, collaborative science has led to an increase in interest in data management and sharing

• Funder mandates have increased interest at campus level

Data Services and Libraries

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• Different views of library roles• Curatorial Roles (Data Collection,

Appraisal, Selection, Description, Preservation, etc.)

• Service Roles (Data Management Planning, Preservation Planning, Data Needs Assessment, Data Information Literacy, Intellectual Property and Governance)

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Campus Data Services at Purdue

Data Services at Purdue

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• Assessment of Data Needs• Development of Data Services• Development of Data Repository

Looking Upstream

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secondary/tertiary

resources

publishedresearchtraditional

“published”research

non-traditional

unpublishedresearch

traditional/non

“published”data/

datasets

Modified from: Brandt, D.S. “Scholarly Communication” (in To Stand the Test of Time: Long-Term Stewardship of Digital Data Sets in Science and Engineering.: Final Report of Workshop New Collaborative Relationships: Academic Libraries in the Digital Data Universe. ARL, Washington, DC, September 2006.)

analyzeddata/

datasets

processeddata/

datasets

“raw”data/

datasets

Analyzed data might need to be reviewed prior to publication, or in case of questions after publication

Quite often data must be scrubbed/anonymized, or processed to format prior to analysis; some disciplines share this data widely within their communities (e.g., astronomy, physics, etc.)

Some raw data are shared readily (e.g., genetics), but also quite often are discarded, depending on discipline

Data Needs Assessment

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• Needed to understand campus needs before investing in solutions

• What are faculty needs, practices, attitudes, etc.?

• What is the appropriate infrastructure at a campus level?

• Where should we develop partnerships?

Data Curation Profiles

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• An interview instrument that provides a guide for discussing data with researchers

• Analysis of profiles:• Gives insight into faculty needs and attitudes related to data sharing• Help assess information needs related to data collections• Gives insight into differences between data in various disciplines • Help identify possible data services • Create a starting point for curating a data set for archiving and

preservation

http://www.datacurationprofiles.org

Campus Collaborations

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http://www.hubzero.org

Early Campus Collaborations

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• 2006: D2C2• 2007: Grant Proposals• 2007: Data Curation Profiles• 2008-9: e-Data Task Force• 2010: Faculty Data Committee

Current Service Offerings

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Current Service Model

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Specific Data Services

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• Data reference• Data mgmt planning• Data consultation (may lead

to collaborations/grants)• Using PURR• Promoting data DOIs• Data mgmt education and

information literacy• Finding and using data• Developing tools (DCP 2.0,

DataBib, DMP-SAQ)• Data visualization/GIS

• Developing data resources (LibGuides, tutorials)

• Linking data to articles and dissertations

• Promoting open access (Authors rights, IR deposit)*

• Leveraging publishing opportunities*

• Developing local collections*• Collection mgmt of “e”

(journals, data, archives)*• Integrating systems *

(i.e., finding data in Primo)• * As relates to data

Campus Data Services at Purdue

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Data Services is oneof many services

in the Libraries

Purdue Data

Services

Liaison Librarians

Data Services

Specialists

Other Libraries

Specialists

Other Campus

Specialists

DS

Collaborative Model within the Libraries

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The current service model is a combination of interaction between researcher, subject liaison, and data services librarian. When a researcher approaches a subject librarian about a data related question, the librarian can:

1. Refer the question to the data services team, who will engage the researcher and keep the librarian in the loop regarding resolution (Referral)

2. Ask a data services team member to accompany them in meeting with the researcher to determine question or problem (“Buddy System”)

3. Meet with the researcher to understand and address the problem, using the data services team as resource to consult with as needed (Consultation)

4. Work directly with researcher (Solo)

Purdue University Research Repository (PURR)

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http://research.hub.purdue.edu

PURR

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• Based on HUBzero• Collaboration between Libraries, IT, OVPR• Subsidized by campus

• Grant-supported projects get 100GB working space, 10 GB for published data

• Additional space can be purchased if needed

• Includes project space, “publishing” workflow including DOIs

• Preservation layers under investigation

Data Services & PURR

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PURROVPR

Policy & Sponsored Programs & Awards

ITaPInfrastructure(HUBzero™)

LibrariesData Services(Reference & Consulting) &Preservation

Researchers

Research Collaboration, Data Discovery, Curating, Publishing & Archiving

Purdue University Research Repository (PURR)

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Purdue University Research Repository (PURR)

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PURR Workflow Diagram

5 Opportunities

1 2 3 4 5

Purdue University Research Repository (PURR)

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1. Craft Data Management Plans2. Consult on new projects3. Collaborate and contribute to projects4. Review datasets submitted for publication5. Select / De-select published datasets from

the collection

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DataCite

What is DataCite?

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An International Organization dedicated to:• Establishing easier access to scientific research data • Increasing acceptance of research data as legitimate,

citable contributions to the scientific record• Supporting data archiving that will permit results to

be verified and re-purposed for future studyhttp://www.datacite.org

DataCite

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• DOI Allocation• 3 Full Members in US:

– Purdue University Libraries– California Digital Library– Office of Scientific and Technical Information (DOE)

• How to get involved?– Work with a full member to assign DOIs to your data– Attend DataCite workshops and conferences

http://datacite.org/DataCiteUS

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Identifier Services and Campus Data

Services

Why Identifier Services?

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Data Citation Services on Campus

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There is a lack of resources, tools and standards to help researchers manage, share, or preserve research data

“In an ideal situation we would somehow have some sort of standard under which we named things and stored things and kept track of things and we would, you know, have a way to get this information to our students.” (U1E2J1)

Data Citation Services on Campus

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• Researchers state a general willingness to share their data with others, but not without certain restrictions, and not without benefits for themselves.– Embargo

– Attribution (Citation)– “Trust”

• “I need the people who use my dataset to cite it so that I get credit for producing it.” focus on citation and identifier standards

Availability of Identifier Services

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• We use EZID as our platform• DOIs are included in PURR, which is broadly

available on campus• Pricing models for other projects, both for DOIs

and ARKs

Data Citation Services and Library Publishing Services

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• Provides a connection between Data Citation Services and Library Publishing Services at Purdue

• Provides a selling point for both services. DOIs provide credibility

• Exploring emerging publishing models– Open Access– Connecting Textual and non-Textual Resources– Publishing Data (Data Papers, etc.)

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Thank You!

[email protected]