Recent advances in our ability to collect, transmit, analyze, store, and manipulate data have offered the opportunity to accelerate discovery, open new avenues for investigation, and enhance the robustness and reliability of research. At the same time, the scale and scope of the data now routinely used by researchers posed new challenges for effective data management, analysis, and reproducibility. Grants in this program sought to partner with research communities to develop tools, standards, practices, and institutions that enable the efficient management and sharing of data and code at every point in the scientific pipeline—from acquisition through analysis to archiving.
As funding under Data and Computational Research ramps down, resources currently focus on the legacies of Sloan grantmaking in this area, shoring up existing projects and platforms that have received Sloan funding and setting these institutions up for continued operation after Sloan funding ceases. The Sloan Technology team is no longer making new grants under this subprogram.
NISO CRediT project secures two more years funding for broadening recognition of contributions in scientific research
Modernizing U.S. Data Infrastructure: Design Considerations for Implementing a National Secure data Service to Improve Statistics and Evidence Building
Mozilla Joins New Partners to Fund Open Source Digital Infrastructure Research
MIT Technology Review
Nadya Peek Named Top Innovator Under 25 by MIT Technology Review
SUNY Poly receives grant to enhance community impact
Social Reading & Remote Learning with Hypothesis
Platforms, protocols, and computational environments supported through the program's grantmaking
Data Science Environments
A partnership with the Moore Foundation to change how data science is done in universities
Hackathon planning kit
A free, all-in-one kit that has everything you need to set up and run an effective hackathon
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Content and formatting requirements for Tech program grantees for the submission of interim and final grant reports