Research in the area of data sharing addresses the reasons, incentives or disincentives, as well as the conditions for and results of openly available research data. One aspect of this is that primary investigators make their data available for other projects, so that the data can be used more than once.
In addition, the secondary use of available data can be very effective and create valuable new research questions. Another aspect covers research transparency, making it possible to proof scientific insights by inspecting the data both in primary and secondary usage of research data.
- Recker, Jonas, and Anja Perry. 2023. "Queering Data Queries: Facilitating the discovery of MORGAI data." IASSIST Conference 2023, 2023-06-01. doi: https://doi.org/10.5281/zenodo.8005598.
- Soldner, Felix, Bennett Kleinberg, and Shane Johnson. 2022. Confounds and Overestimations in Fake Review Detection: Experimentally Controlling for Product-Ownership and Data-Origin. https://osf.io/29euc/?view_only=d382b6f03e1444ffa83da3ea04f1a04a.
- Batzdorfer, Veronika. 2022. "R Programming Workshop for the BMBF Conference on Research on Digitalisation for Cultural Education. "Analysing Social Media and Text Mining in R"." Friedrich-Alexander Universität Erlangen-Nürnberg, Nürnberg.
- Kroneberg, Clemens, Sven Lenkewitz, André Ernst, Maike Meyer, and Kai Seidensticker. 2022. "Using police data to measure criminogenic exposure in residential and school contexts: experiences from a data linkage project in Germany." Police Practice and Research 23 (4): 473-488. doi: https://doi.org/10.1080/15614263.2022.2046569.
- Pforr, Klaus. 2021. Regionale Kontextdaten mit dem Mikrozensus. GESIS Papers 2021/02. Köln: GESIS - Leibniz-Institut für Sozialwissenschaften. doi: https://doi.org/10.21241/ssoar.71319.
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