An open source index for research datasets

 

Dataset Search is an index for academic institutional research data. Dataset Search will increase discovery, reuse, and citation of open research data, and also act as an easy-to-implement, open source, library-built system. Dataset Search is part of the Data Discovery Collaboration Project.

 

 

About Dataset Search 

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Indexes data in third-party repositories

With Dataset Search, you can find existing datasets created by institutional researchers that are housed in third-party repositories.

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Promotes research data as a scholarly product

Showcases research data as a scholarly product and a driver of institutional reputation.

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Adds unique metadata

Provides newly-generated descriptive metadata for individual datasets, gleaned through topic mining of scholarly profile sources like ORCID and Google Scholar Profiles. 

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Optimizes discovery

Promotes discovery of institutional research datasets by commercial search engines.

Project Team 

Sara Mannheimer, Associate Professor - Data Librarian, Montana State University 

Jason A. Clark, Professor - Lead for Research Informatics, Montana State University

Jakob Schultz, Software Engineer, Montana State University, 2019-present

Rhonda Borland, Metadata Specialist, Montana State University, 2020

Daniel Laden, Student Research Assistant, Montana State University, 2020

Kyle Hagerman, Student Research Assistant, Montana State University, 2019-2020

James Espeland, Software Engineer, Montana State University, 2018-2019

 

Advisory Board, 2018-2019

Jeffrey Grethe, bioCADDIE and DataMed

Kevin Read, University of Saskatchewan (formerly New York University Health Sciences Library Data Catalog)

Nicole Contaxis, New York University Health Sciences Library Data Catalog

Cynthia Hudson-Vitale, SHARE project

 

Research Outputs

Mannheimer, S, Clark, J. A., Hagerman, K., Schultz, J., & Espeland, J. (2021). Dataset Search: A lightweight, community-built tool to support research data discovery. Journal of eScience Librarianship 10 (1), e1189. https://doi.org/10.7191/jeslib.2021.1189.

Mannheimer, S., Clark, J. A., Espeland, J., Hagerman, K. (2020, March). Dataset Search: A lightweight, community-built tool to support research data discovery at small and mid-sized institutions. Research Data Access and Preservation Summit, Santa Fe, NM.

Mannheimer, S., Clark, J. A., Espeland, J., & Hagerman, K. (2019, October). Dataset Search: an open source tool that supports discovery and reporting for research datasets. Digital Library Federation Forum, Tampa, FL.

Mannheimer, S., Clark, J. A., Espeland, J., & Hagerman, K. (2019). Building a Dataset Search for institutions: project update. Publications 7 (2), 29. https://doi.org/10.3390/publications7020029 

Mannheimer, S., Clark, J. A., Espeland, J., & Hagerman, K. (2019, February). Open discovery for open data: an open source search tool for institutional research data [Poster]. Code4Lib, San Jose, CA. https://doi.org/10.17605/OSF.IO/TUVXQ 

Mannheimer, S., Clark, J. A., & Espeland, J. (2018, June). A prototype for an institutional research data index. Open Repositories, Bozeman, MT.

 


Project Sponsors

  

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This project is made possible in part by the Institute of Museum and Library Services, through grant # LG-89-18-0225-18.The IMLS is the primary source of federal support for the nation’s libraries and museums. They advance, support, and empower America’s museums, libraries, and related organizations through grantmaking, research, and policy development. Their vision is a nation where museums and libraries work together to transform the lives of individuals and communities. To learn more, visit www.imls.gov.

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This project is made possible in part by the National Network of Libraries of Medicine, Pacific Northwest Region. The mission of the National Network of Libraries of Medicine (NNLM) is to advance the progress of medicine and improve the public health by providing all U.S. health professionals with equal access to biomedical information and improving the public's access to information to enable them to make informed decisions about their health. To learn more, visit https://nnlm.gov.

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