Scientific research has made huge strides in the last 10 years towards more openness and data sharing. But it is still common for scientists to keep some data proprietary for some length of time, particularly large datasets that cost millions of dollars to collect like, for instance, fMRI datasets in neuroscience. More funding for open science could pay scientists when their data is actually used by third parties, further incentivizing them to make data not only accessible but useable. Open science funding could also facilitate the development of existing open science resources like osf.io and other repositories of scientific data. Alternatively, a project to systematically catalogue scientific data available online–a “library of raw scientific data” could greatly expand access and use of existing datasets.
Fund publicization of scientific datasets
Epistemic institutions
Scientific research has made huge strides in the last 10 years towards more openness and data sharing. But it is still common for scientists to keep some data proprietary for some length of time, particularly large datasets that cost millions of dollars to collect like, for instance, fMRI datasets in neuroscience. More funding for open science could pay scientists when their data is actually used by third parties, further incentivizing them to make data not only accessible but useable. Open science funding could also facilitate the development of existing open science resources like osf.io and other repositories of scientific data. Alternatively, a project to systematically catalogue scientific data available online–a “library of raw scientific data” could greatly expand access and use of existing datasets.