People and organizations use knowledge to make higher selections and acquire higher insights, resulting in advantages in a broad vary of areas. However to make use of knowledge to its fullest potential, people and organizations want to have the ability to mix, increase, and analyze data from totally different sources. Within the non-public sector, knowledge sharing permits companies to innovate with companions, similar to tackling frequent challenges and offering higher experiences to shoppers. Within the public sector, it permits authorities companies to construct on data collected by different organizations to make higher selections, supply customized providers, have interaction in evidence-based policymaking, and glean new insights. And amongst lecturers and nonprofit organizations, knowledge sharing advances scientific breakthroughs and permits knowledge for social good.
However attaining these advantages requires enabling knowledge sharing to its fullest potential in order that those that can use knowledge productively have entry to it. Not like most sources, similar to land or oil, knowledge is nonrivalrous, which means the availability of knowledge isn’t diminished when others use it. Knowledge can be utilized a number of instances and in a number of methods by varied entities with out being depleted. Whereas many organizations in the US share knowledge in sure situations, many of those initiatives are advert hoc, and there are few greatest practices for sharing knowledge. If policymakers need the US to have a strong AI and data-driven society, they should take steps to spice up knowledge sharing.
This report presents a step in that course by evaluating the advantages and disadvantages of six totally different data-sharing fashions and presents suggestions on how policymakers can implement or develop the usage of sure fashions. Provided that totally different fashions serve totally different wants, policymakers don’t want to select a one-size-fits-all resolution, however quite ought to facilitate the adoption of a number of data-sharing mechanisms of their pursuit of a data-driven society.
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