Research and information about data management and what librarians can do to aid researchers with data.
10 Simple Rules for the Care and Feeding of Scientific Data, Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra Slavkovic
A short guide intended for researchers who want to know why it is important to “care for and feed” data, with some practical advice on how to do that.
Data Curation is for Everyone! The Case for Master’s and Baccalaureate Institutional Engagement with Data Curation, Yasmeen Shorish
This article describes the fundamental challenges to data curation, how these challenges may be compounded for smaller institutions, and how data management is an essential and manageable component of data curation.
Starting the Conversation: University-wide Research Data Management Policy, an OCLC research report by Ricky Erway
A call for action that summarizes the benefits of systemic data management planning and identifies the stakeholders and their concerns.
The NSF/NIH Effect: Surveying the Effect of Data Management Requirements on Faculty, Sponsored Programs, and Institutional Repositories, Anne Diekema, Andrew Wesolek, Cheryl D. Walters
The study offers important insights about services academic libraries can provide to support faculty in their data management efforts.
When Data Curation Isn’t: A Redefinition for Liberal Arts Universities, Megan Toups, Michael Houghes
This article details how librarians at Trinity University adapted the larger practice of curation to meet local data management needs.
Meeting Data Needs on Today’s Campus: The Digital Commons Data Pioneers Report, Promita Chatterji
During 2014-2015, bepress partnered with sixteen Digital Commons subscriber schools to launch the bepress Data Pioneers program. This report presents insights and findings from that program.
Researcher Perspectives on Publication and Peer Review of Data, John Ernest Kratz, Carly Strasser
Data “publication” seeks to appropriate the prestige of authorship in the peer-reviewed literature to reward researchers who create useful and well-documented datasets. The scholarly communication community has embraced data publication as an incentive to document and share data.
