Microsoft Open Data Project adopts new data use agreement for datasets

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Last summer we announced Microsoft Research Open Data—an Azure-based repository-as-a-service for sharing datasets—to encourage the reproducibility of research and make research data assets readily available in the cloud. Among other things, the project started a conversation between the community and Microsoft’s legal team about dataset licensing. Inspired by these conversations, our legal team developed a set of brand new data use agreements and released them for public comment on Github earlier this year.

Today we’re excited to announce that Microsoft Research Open Data will be adopting these data use agreements for several datasets that we offer.

The Open Use of Data Agreement (O-UDA) is intended for use by an individual or organization that is able to distribute data for unrestricted uses, and for which there is no privacy or confidentiality concern. It is not appropriate for datasets that include any data that might include materials subject to privacy laws (such as the GDPR or HIPAA) or other unlicensed third-party materials. The O-UDA meets the open definition: it does not impose any restriction with respect to the use or modification of data other than ensuring that attribution and limitation of liability information is passed downstream. In the research context, this implies that users of the data need to cite the corresponding publication with which the data is associated. This aids in findability and reusability of data, an important tenet in the FAIR guiding principles for scientific data management and stewardship.

We also recognize that in certain cases, datasets useful for AI and research analysis may not be able to be fully “open” under the O-UDA. For example, they may contain third-party copyrighted materials, such as text snippets or images, from publicly available sources. The law permits their use for research, so following the principle that research data should be “as open as possible, as closed as necessary,” we developed the Computational Use of Data Agreement (C-UDA) to make data available for research while respecting other interests. We will prefer the O-UDA where possible, but we see the C-UDA as a useful tool for ensuring that researchers continue to have access to important and relevant datasets.

The following examples reference datasets that have adopted the Open Use of Data Agreement (O-UDA).

Microsoft researcher John Krumm and collaborators collected GPS data from 21 people who carried a GPS receiver in the Seattle area. Users who provided their data agreed to it being shared as long as certain geographic regions were deleted.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.