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The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data
Open accessAbstract
The Dataverse Network is an open-source application for publishing, referencing, extracting and analyzing research data. The main goal of the Dataverse Network is to solve the problems of data sharing through building technologies that enable institutions to reduce the burden for researchers and data publishers, and incentivize them to share their data. By installing Dataverse Network software, an institution is able to host multiple individual virtual archives, called dataverses for scholars, research groups, or journals, providing a data publication framework that supports author recognition, persistent citation, data discovery and preservation. Dataverses require no hardware or software costs, nor maintenance or backups by the data owner, but still enable all web visibility and credit to devolve to the data owner
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“Apparently in response to this, we see the emergence of numerous general-purpose data repositories, at scales ranging from institutional (for example, a single university), to open globally-scoped repositories such as Dataverse7, FigShare (http://figshare.com), Dryad8, Mendeley Data (https://data.mendeley.com/), Zenodo (http://zenodo.org/), DataHub (http://datahub.io), DANS (http://www.dans.knaw.”
From The FAIR Guiding Principles for scientific data management and stewardship (2016) · cites this paper as [7]
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Research works printed but not linked: 10
- [1][1] Altman, Micah. 2008. "A Fingerprint Method for Verification of Scientific Data", in Advances in Systems, Computing Sciences and Software Engineering (Proceedings of the International Conference on Systems, Computing Sciences and Software Engineering 2007), Springer Verlag.
- [2][2] Altman, Micah; Andreev, Leonid; Diggory, Mark; Krot, Michael; King, Gary; Kiskis, Daniel ; Sone, Akio; and Verba, Sidney. 2001. "A Digital Library for the Dissemination and Replication of Quantitative Social Science Research", Social Science Computer Review 19(4):458-71.
- [3][3] Altman, Micah and King, Gary. 2007. "A Proposed Standard for the Scholarly Citation of Quantitative Data", D-Lib Magazine 13(3/4). doi:10.1045/march2007-altman. · DOI
- [4][4] Altman, M., Adams, M., Crabtree, J., Donakowski, D., Maynard, M., Pienta, A., & Young, C. 2009. "Digital preservation through archival collaboration: The Data Preservation Alliance for the Social Sciences." The American Archivist. 72(1): 169-182.
- [5][5] Brandes, U., Eiglsperger, M., Herman, H., Himsolt, M., and Marshall, M.S. 2002. "GraphML Progress Report: Structural Layer Proposal", Proc. 9th Intl. Symp. Graph Drawing (GD '01), LNCS 2265, pp. 501-512. © Springer-Verlag.
- [7][7] Fung, B., Wang, K., Chen, R., Yu, P. 2010 "Privacy-Preserving Data Publishing: A Surey of Recent Developments" ACM Computing Surveys, Volume 42, Issue 4, doi:10.1145/1749603.1749605. · DOI · Paper page
- [8][8] King, Gary. 2007. "An Introduction to the Dataverse Network as an Infrastructure for Data Sharing", Sociological Methods & Research, 36(2): 173-199.
- [9][9] Imai, Kosuke, King, Gary and Lau, Olivia. 2008. "Toward A Common Framework for Statistical Analysis and Development", Journal of Computational and Graphical Statistics, Vol. 17, No. 4 (December), pp. 892-913.
- [10][10] Piwowar HA, Day RS, Fridsma DB. 2007 "Sharing Detailed Research Data Is Associated with Increased Citation Rate" PLoS ONE 2(3): e308. doi:10.1371/journal.pone.0000308. · DOI · Paper page
- [11][11] Reich, Vicky and Rosenthal, David S.H. 2001 "LOCKSS: A Permanent Web Publishing and Access System", D-Lib Magazine, June 2001 Volume 7 Number 6. doi:10.1045/june2001-reich. About the Author Mercè Crosas is the Director of Product Development at the Institute for Quantitative Social Science (IQSS) at Harvard University. Dr. Crosas first joined IQSS in 2004 (then referred to as the Harvard-MIT Data Center) as manager of the Dataverse Network project. The product development team at IQSS now includes the Dataverse Network project, the Murray Research Archive, and the statistical and web development projects (OpenScholar and Zelig). Before joining IQSS, she worked for about six years in the educational software and biotech industry, initially as a software developer, and later as manager and director of IT and software development. Prior to that, she was at the Harvard-Smithsonian Center for Astrophysics where she completed her doctoral thesis as a student fellow with the Atomic and Molecular Physics Institute, and afterwards she was a post-doctoral fellow, a researcher and a software engineer with the Radioastronomy division. Dr. Crosas holds a Ph.D. in Astrophysics from Rice University and graduated with a B.S. in Physics from the Universitat de Barcelona, Spain. Copyright © 2011 Mercè Crosas · DOI
Cited by
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Self-citation
Metadata
- Authors
- Crosas, M.
- Corresponding author
- Crosas, Mercè
- ORCID
- Crosas, Mercè
- Venue
- D-Lib Magazine
- Publisher
- CNRI Acct
- Published
- 2011-01
- Volume
- 17
- Issue
- 1/2
- ISSN
- 1082-9873 (ISSN-L)
- OpenAlex
- W2062881723
- Cited by
- 130
- References
- 0
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 3 · 2023: 11 · 2022: 9 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 17 · 2017: 17 · 2016: 8 · 2015: 9 · 2014: 8 · 2013: 9 · 2012: 4
- FWCI
- 22.99
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- D-Lib Magazine (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- research data sharing, data preservation, data discovery, open source software, digital archives, author recognition, data publication, institutional repositories
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