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Data Management and Publishing |
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Sharing Your DataDepositing your data in an archive will facilitate its discovery and preservation. While you can share your data informally by emailing it to requestors or posting it to a website, informal methods of sharing make it difficult for people to find your data and access it in the long-term. The Libraries' Research Data Management Team (data-management@mit.edu) can help you to select a data repository suitable to your needs. Data Repositories Sponsored by MITAny DisciplineDSpace@MIT – The repository established to capture, distribute, and preserve the digital products of MIT faculty and researchers. DSpace@MIT is an option for making your data publicly available and ensuring long term access to it, depending upon the nature of the content and the size of the datasets. See the Guidelines for Research Dataset Contributions in DSpace@MIT for more details or contact data-management@mit.edu for assistance. Harvard Dataverse Network (DVN) supported by the Harvard-MIT Data Center/IQSS – MIT researchers can create personalized data collections. MIT-produced data can be distributed to users in various formats and subsets, and also can be explored using online data analysis. See the Benefits and Guidelines for Research Dataset Contributions into the Harvard DVN for more details or contact data-management@mit.edu for assistance. Social SciencesInter-university Consortium for Political and Social Research (ICPSR) – The world's largest archive of digital social science data. ICPSR staff can guide you in preparing your data for archiving and distribution. See their Guide to Social Science Data Preparation and Archiving and their page on Depositing Data. Listings of Other Data RepositoriesNote: Not all repositories necessarily take researcher-produced datasets where you can share your data. Moreover, not all repositories listed can ensure long-term preservation of your data; contact each one for more details.
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For advice on a data management project, contact: Courtney Crummett Anne Graham Katherine McNeill Daniel Sheehan Amy Stout |
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For help on a data management project, contact: data-management@mit.edu |
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