The questions above may be best understood within the following three categories: data discovery, data population, and data insights.  Data discovery centers on the need to find, showcase and connect related research output and relevant links, such as authors, co-authors and grants, and surface this data from different sources be it, for example, the publisher, subject or data repository or even conference proceedings. Only by finding all relevant research output, after all, can we understand the true reach and impact of the institutions’ scholarly output. Read more.

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