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The concussion CDEs identified through our study provide groundwork for a road map to common data definitions and standards, and subsequently to coherent informatics approaches for successful data sharing and results comparisons in concussion research among collegiate athletes (Maas et al. 2011; McCauley et al. 2012).
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First, the ENGAGE experience confirms that good collaboration is a key element to successful data sharing as research groups who enjoy working together are more inclined to share data.
Successful data sharing requires that biophysical scientists be more attentive to the social nature of data sharing.
Using common property theory, our research objectives were to determine: (1) parallels between data sharing communities and natural resource-sharing communities; (2) factors that lead to successful data sharing; (3) circumstances under which rules, laws and policies govern data sharing.
While there have been many innovative and successful government data sharing projects, it is still debatable whether governments really get it.
Harmonization of data access arrangements is necessary for successful international data sharing and to ensure fairness of the procedure.
Successful models of data sharing usually subscribe to several common themes.
Moral values are an indispensable component of successful mechanisms of data sharing.
This requirement for deposition of data as part of the publication process is increasingly common in bioscience, like genetics or proteomics, where the NCBI GenBank http://www.ncbi.nlm.nih.gov/genbank/ or the Protein Data Bank (PDB) http://www.rcsb.org/pdb/home/home.do constitute very successful examples of data sharing and organization.
The review recommended stronger safeguards to protect data and upgraded arrangements for data sharing.
The primary motivation for data sharing stems from the desire to protect national benefits and to prevent upstream countries from overexploiting the shared water resources.
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