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Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method. [1]
A data ecosystem is the complex environment of co-dependent networks and actors that contribute to data collection, transfer and use. [1] It can span multiple sectors – such as healthcare or finance, to inform one another's practices. [ 2 ]
File sharing is the practice of distributing or providing access to ... as well as the sharing of scientific data and other free content. History Files ...
The World Wide Web was originally conceived as an infrastructure for open scientific data. Sharing of data and data documentation was a major focus in the initial communication of the World Wide Web when the project was first unveiled in August 1991 : "The WWW project was started to allow high energy physicists to share data, news, and ...
A data commons is an interoperable software and hardware platform that aggregates (or collocates) data, data infrastructure, and data-producing and data-managing applications in order to better allow a community of users to manage, analyze, and share their data with others over both short- and long-term timelines.
Traditional information sharing referred to one-to-one exchanges of data between a sender and receiver. Online information sharing gives useful data to businesses for future strategies based on online sharing. [4] These information exchanges are implemented via dozens of open and proprietary protocols, message, and file formats.
It can also be run through third-party analytics, which shares data with data stewards to run analysis and share those findings with external actors, providing the outcomes of the data without exposing the sensitive information. [6] Data Pooling: Multi-sectoral stakeholders join “data pools” to share data resources. Public data pools allow ...
Data Sharing for Demographic Research (DSDR) advances research on maternal and child health and the life course by making data discoverable and accessible for secondary analysis. DSDR is a research data and information repository that adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principals.