Data Sharing in NHSN: 2025

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Forms of data sharing Data commons: Resources are held in common, accessible to all members of a group. Data collaboratives: Private data which benefits society and the environment is shared for social good. Data marketplaces: Intermediary platforms or online stores through which data can be bought or sold.
The policy requires three things: that researchers think about how they will manage, document, and share their scientific research data before beginning data collection; that they show the NIH their thought process in a formal Data Management and Sharing Plan in their funding application (with an accompanying budget
BBSRC recognises that plans for sharing data will vary ing to the type of data collected. Data sharing should be driven by scientific benefit and should also be cost effective. Data should be shared using established standards and existing resources where this is possible.
The GDS Policy applies to all NIH-funded research (grants, contracts, intramural research) that generates large-scale human or non-human genomic data and the use of the data for subsequent research. The policy applies to all such research, regardless of the funding level.
MRCs overarching aim for data-sharing is to maximise the life-time value of research data assets for human health and to do so timely, responsibly, with as few restrictions as possible, in a way consistent with the law, regulation and recognised good practice.
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Health plan data sharing. You can ask us to send your health information to another health plan. This is called health plan data sharing. Once you give us the okay, we will send your health information to the other health plan. The other health plan will then store your health information in their system.
Data sharing agreements set out the purpose of the data sharing, cover what happens to the data at each stage, set standards and help all the parties involved in sharing to be clear about their roles and responsibilities.
Data Sharing / Access The MRCs overarching policy aim for data-sharing is to maximise the life-time value of research data assets for human health and to do so in a way that is timely, responsible, with as few restrictions as possible, and consistent with the law, regulations and recognised good practice.

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