eScience in Action
Author: Mercè Crosas (Institute for Quantitative Social Science, Harvard University)
From the early days of modern science through this century of Big Data, data sharing has enabled some of the greatest advances in science. In the digital age, technology can facilitate more effective and efficient data sharing and preservation practices, and provide incentives for making data easily accessible among researchers. At the Institute for Quantitative Social Science at Harvard University, we have developed an open-source software to share, cite, preserve, discover and analyze data, named the Dataverse Network. We share here the project’s motivation, its growth and successes, and likely evolution.
Keywords: data sharing, data management, preservation, data citation, Dataverse Network
How to Cite: Crosas, M. (2013) “A Data Sharing Story”, Journal of eScience Librarianship. 1(3). doi: https://doi.org/10.7191/jeslib.2012.1020