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1Rutgers, The State University of New Jersey

Evolving Research Data Services

Laura Palumbo June 16, 2015

Rutgers University Libraries

@LauraBPalumbo laura.palumbo@rutgers.eduChemistry & Physics Librarian/Science Data Specialist

Rutgers University Libraries, New Brunswick, NJ

Rutgers University Community Repository

2010: Launch of RUcore2011: Able to accept data

RUresearch created2012: Pilot data projects

accepted2013: Questions re copyright

& legal issues

History of RUcore

https://www.flickr.com/photos/jurvetson/

Task Force for Research Data Implementation

● Data Librarians (2)

● Health Science Librarians (2)

● Research Data Manager

● Digital Library Architect

● Metadata Librarian

● Digital Humanities Librarian

CHARGE: Environmental scan for administrative structures and evaluation processes for technical, legal, and confidential issues.

Consult with research offices; staffing, storage, and funding requirements.

Environmental Scan

https://www.flickr.com/photos/michaelcasey/

● 35 Repositories● 34 Review Criteria from ARL SPEC Kit

334, Research Data Management Services

● 5 categories: ○ Research Data Management

Services ○ Data Archiving Services ○ RDM Service Staffing ○ Partnerships ○ Research Data Policy

Highlights

● Many institutions provided data management consulting, regardless of level of data acceptance.

● Most repositories were operated by libraries; some in collaboration with OIT and/or OVPR.

● Number of staff varied from 2-18; many had part-time responsibilities for data management.

● Most placed responsibility for evaluation of data with the PI.

https://www.flickr.com/photos/katerha/

● Most allowed self-deposit of data or self-deposit and mediated deposit

● Data deposit agreements were common, similar

● Privacy was addressed by statements, stripping of confidential information, encryption

● Information about storage capacity was limited. Restrictions to file size typical,10 - 500 GB free of charge

● Funding models were not found, although a few mention fees for additional storage, and extra staff time.

https://www.flickr.com/photos/42931449@N07/

Policies

● Data Policies at an institutional level are not a given

● Most policies, where available, share a similar

format:○ the university owns the data

○ the principal investigator is the steward of that data and is responsible for complying with any restrictions or legal requirements

○ protocols exist in the event the PI leaves the institution

Image by Leo Reynolds, Flickr

A few good examples

Johns Hopkins http://jhuresearch.jhu.edu/Data_Management_Policy.pdf

New York University http://www.nyu.edu/content/dam/nyu/research/documents/OSP/PolicyonResearchData030110.pdf

Ohio State http://orc.osu.edu/files/2011/01/ResearchDataPolicy.pdf

University of Wisconsin-Madison http://researchdata.wisc.edu/research-data-policies/

Image by Mariusz Kluzniak, https://www.flickr.com/photos/39997856@N03/

Policy vs policy

Libraries can make policies which should support an institutional Policy on research data, but first need to determine:

What is the Library’s role in research data?

What are the risks involved in accepting and sharing research data? How much control will you have?

Is your institution- Library Administration, Research Office, General Counsel- comfortable with the perceived level of risk?

Deposit Agreements

Deposit agreements typically stated:

● the depositor is legally allowed to deposit the data

● data does not contain confidential or sensitive information

● the depositor holds the institution harmless

● the repository may take actions to describe, preserve, and maintain the data

Proposed Guidelines for Data Acceptance

● Will accept both science and humanities data

● Will accept funded and unfunded research data, but funded may be given preference

● The “responsible researcher” must be Rutgers faculty or staff, and must initiate the deposit process

● Data associated with grad students electronic D & T will be accepted

● Short term embargoes will be allowed

● The depositor will sign a deposit agreement

Proposed Guidelines for Initial Implementation

● Mediated deposit only

● Initial projects will be 100 GB or less without fees

● Data must be in digital format

● No human or animal subjects

● No commercial interests

● No data which would require system modificationsImage by Alan Levine https://www.flickr.com/photos/cogdog/

Future development ?

● Full implementation would allow self-deposit, with online forms for deposit agreement, checklist, and application form for metadata

● Metadata entry would ideally be automated

● Data would be subject to a brief review for technical and possible copyright or legal issues

● Special projects would be mediated- very large, special formats, system modifications, other?

Considerations

● Funding- how will your service become sustainable?

● Metadata- staff-time intensive or automated? How much is enough?

● Data service responsibilities- will this be a part-time function for many, full-time for a few, or both?

● Will your service be easy and efficient, so that researchers want to use it?

● What value does your library add to the research process?

Thank you!@LauraBPalumbo laura.palumbo@rutgers.edu

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