Federal Data Sharing Agreement

Confidentiality and exclusion of liability: there must be a disclaimer for the accuracy of the data as well as a description of the data as well as the corresponding metadata. In addition, a statement on the disclosure of information to third parties is required. This is necessary because a non-federal authority may not be able to protect USGS information from disclosure and vice versa, because the USGS may be compelled to disclose information as part of a FOIA application, unless otherwise waived. Data sharing agreements must include provisions on access and dissemination. It is not desirable to enter into a data-sharing agreement to disclose data protection information, as non-federal organizations are not subject to data protection law. Similarly, it is worth drawing the attention of the non-federal organization to the fact that federal authorities may be forced to disclose information under the FOIA. In the data economy of the twenty-first century, reliance on data and data analytics to improve outcomes has become the driving force behind most decisions made in all sectors, including government, the economy, education and research. As government leaders demand more transparency and accountability of their resources in the face of hardened federal, state and local budgets, access to reliable and accurate data is more important than ever. This webinar was designed to support the launch of this site.

Since the microdata contained in administrative records contain personal data (PII), the implementation of security measures to protect the disclosed data is a critical element of data sharing agreements. Some common security features are: the USGS cannot disclose or exchange data or data: A data-sharing agreement is an agreement between a party that has useful data (the applicant) and a party that seeks data to research (the recipient) what the disclosure provider agrees to share with the recipient. These could be two universities that would agree to exchange data to collaborate in the field of research, could include one or more private companies active in research or development, and could even include a government agency that works with a private organization. To help users understand the exchange of data and the use of this site, SDS has conducted a number of webinars. The model is designed to be widely applicable, but some aspects of the agreement may need to be modified to meet certain requirements. We would be delighted to have comments on this draft, as we are trying to adapt a version of the proposed legislation – please give your opinion via our contact form. Data exchange avoids duplication in data collection and fosters differences in mindset and cooperation, as others are able to use the data to answer questions that the original data collectors might not have taken into consideration. . . .

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