Solving the issues of discovery, attribution and measurement in data sharing

Knowing the growing importance of data sharing, Thomson reuters Scientific & Scholarly research analysts researched and studied the situation in search of a better solution. they determined a system was needed to help researchers more easily discover data relevant to their work, attribute data in a way that appropriately acknowledges intellectual debt, incorporate data usage in measurements of impact and influence, and contribute to the use of data citation information for future funding awards or even academic tenure and promotion decisions.