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

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

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DataCite and Campus Data Services ...

DataCite and Campus Data Services
Paul Bracke, Associate Dean for Digital Programs and Information Services, Purdue University

Research libraries are increasingly interested in developing data services for their campuses. There are many perspectives, however, on how to develop services that are responsive to the many needs of scientists; sensitive to the concerns of scientists who are not always accustomed to sharing their data; and that are attractive to campus administrators. This presentation will discuss the development of campus-based data services programs, the centrality of data citation to these efforts, and the ways in which engagement with DataCite can enhance local programs.

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

  • DataCite and CampusData Services24 September 2012
  • Overview• Data Services and Libraries• Campus Data Services at Purdue• DataCite• Data Citation and Campus Data Services2
  • Data and Libraries3
  • Data and Libraries• 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)4
  • Drivers• 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 level5
  • Data Services and Libraries• 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)6
  • Campus Data Services at Purdue7
  • Data Services at Purdue• Assessment of Data Needs• Development of Data Services• Development of Data Repository8
  • Looking Upstream “published” unpublished “published” published secondary/ data/ research research research tertiary datasets traditional/non non-traditional traditional resources analyzed Analyzed data might need to be reviewed prior to publication, or in data/ datasets case of questions after publication processed Quite often data must be scrubbed/anonymized, or processed to data/ format prior to analysis; some disciplines share this data widely within datasets their communities (e.g., astronomy, physics, etc.) “raw” Some raw data are shared readily (e.g., genetics), but data/ also quite often are discarded, depending on discipline datasets9 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.)
  • Data Needs Assessment• 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?10
  • Data Curation Profiles• 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 preservationhttp://www.datacurationprofiles.org11
  • Campus Collaborations http://www.hubzero.org12
  • Early Campus Collaborations• 2006: D2C2• 2007: Grant Proposals• 2007: Data Curation Profiles• 2008-9: e-Data Task Force• 2010: Faculty Data Committee13
  • Current Service Offerings14
  • Current Service Model15
  • Specific Data Services• Data reference • Developing data resources• Data mgmt planning (LibGuides, tutorials)• Data consultation (may lead • Linking data to articles and to collaborations/grants) dissertations• Using PURR • Promoting open access• Promoting data DOIs (Authors rights, IR deposit)*• Data mgmt education and • Leveraging publishing information literacy opportunities*• Finding and using data • Developing local collections*• Developing tools (DCP 2.0, • Collection mgmt of “e” DataBib, DMP-SAQ) (journals, data, archives)*• Data visualization/GIS • Integrating systems * (i.e., finding data in Primo) • * As relates to data16
  • Campus Data Services at Purdue Data Services is one of many services in the Libraries DS Liaison Librarians Other Purdue Data Campus Data Services Specialists Services Specialists Other Libraries Specialists17
  • Collaborative Model within the Libraries 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)18 4. Work directly with researcher (Solo)
  • Purdue University Research Repository (PURR) http://research.hub.purdue.edu 19
  • PURR• 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 investigation20
  • Data Services & PURR Research Collaboration, Data Discovery, Curating, Publishing & Archiving Researchers Libraries Data Services OVPR (Reference & Policy & Sponsored Consulting) & Programs & Awards Preservation ITaP Infrastructure (HUBzero™)21
  • Purdue University Research Repository (PURR) 22
  • Purdue University Research Repository (PURR) 5 Opportunities 1 2 3 4 5 PURR Workflow Diagram 23
  • Purdue University Research Repository (PURR) 1. Craft Data Management Plans 2. Consult on new projects 3. Collaborate and contribute to projects 4. Review datasets submitted for publication 5. Select / De-select published datasets from the collection 24
  • DataCite25
  • What is DataCite?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.org26
  • DataCite• 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/DataCiteUS27
  • Identifier Services and Campus Data Services28
  • Why Identifier Services?29
  • Data Citation Services on CampusThere 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)30
  • Data Citation Services on Campus• 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 standards31
  • Availability of Identifier Services• 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 ARKs32
  • Data Citation Services and Library Publishing Services• 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.)33
  • Thank You! pbracke@purdue.edu34