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Distance and Data Reuse

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Distance and Data Reuse
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
The literature contains a myriad of recommendations, advice, and strictures about what data providers should do to facilitate data reuse. It can be overwhelming. Based on empirical work (analyzing data reuse proxies at scale, understanding data sensemaking and looking at how researchers search for data), I talk about what practices are a good place to start for helping others to reuse your data. I then introduce the construct of distance between data provider and data reuser to help understand where to invest for data, which is based on a recent paper in Harvard Data Science Review: Borgman, C. L., & Groth, P. (2025). From Data Creator to Data Reuser: Distance Matters. Harvard Data Science Review. https://doi.org/10.1162/99608f92.35d32cfc
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