Author: mit-admin

Learn with the Libraries: Fall workshops

Learn with the Libraries: Fall workshops

Learn with the Libraries this fall! Click on a workshop for more information and to register. October 18: Quick and Dirty Data Management October...

Science
MIT Prize for Open Data

MIT Prize for Open Data

Have you worked with or created open data? Have you built tools that advance the use or distribution of open data? Have you theorized...

Data
New NIH Policy for Data Management and Sharing

New NIH Policy for Data Management and Sharing

The National Institutes of Health (NIH) is implementing a new policy to further their efforts to improve the reproducibility and reliability of NIH-funded research...

Data

Data bites: Summer workshops

Join the MIT Libraries Data Management Services for these 30-minute, online workshops or “Data bites” on essential data management topics. Attend one or multiple...

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New MIT Zotero subscription

New MIT Zotero subscription

The MIT Libraries recently purchased an institutional subscription for Zotero, an open source tool for managing citations and pdfs. MIT affiliates will now get...

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Learn with the Libraries: Fall workshops

Learn with the Libraries: Fall workshops

Learn with the Libraries this fall! Click on a workshop for more information and to register. All workshops will be held online. October 18:...

All news
Learn with the Libraries: Summer workshops

Learn with the Libraries: Summer workshops

Learn with the Libraries this summer! Click on a workshop for more information and to register. All workshops will be held online. July 7:...

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Learn with the Libraries: IAP 2021 Workshops

Learn with the Libraries: IAP 2021 Workshops

Updated Jan. 12, 2021 The Libraries are offering a variety of online workshops during IAP. Click on a workshop for more information and to...

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FAIR data, not necessarily open

Applied data science, machine learning, and artificial intelligence research often require computational use of data. FAIR data is machine findable, accessible, interoperable, and reusable....

Data