Motivation: Data reuse
Data reuse can be extremely valuable. Secondary analyses and comparative studies can be conducted using previously collected data. This allows researchers to examine historical developments and changes related to the studied topic, apply new research questions to existing data and combine datasets for broader analyses. Data users can expand and deepen their research focus while verifying the quality and “accuracy” of the data (RatSWD, 2023; DGfE, 2020; Forschungsdaten.Info, 2023h). Transparency in data collection and analysis processes also enhances the authenticity and comprehensibility of the data, contributing to good scientific practice (GWP)Good scientific practice (GSP) represents a standardized code of conduct established in the guidelines of the German Research Foundation (DFG). These guidelines emphasize the ethical obligation of every researcher to act responsibly, honestly, and respectfully, also in order to strengthen public trust in research and science. They serve as a framework for guiding scientific work processes. Read More as promoted by the German Research Foundation (DFG) (DGfE, 2020, pp. 1).
Literature
Deutsche Gesellschaft für Erziehungswissenschaften (DGfE). (2020). Empfehlungen zur Archivierung, Bereitstellung und Nachnutzung von Forschungsdaten im Kontext erziehungs- und bildungswissenschaftlicher sowie fachdidaktischer Forschung. DFG. https://www.dfg.de/resource/blob/174560/67a06609aa9aaa98e73b9b7d798afbb9/stellungnahme-forschungsdatenmanagement-data.pdf
Forschungsdaten.info. (2023h). Open Data, Open Access und Nachnutzung. forschungsdaten.info. https://forschungsdaten.info/themen/finden-und-nachnutzen/open-data-open-access-und-nachnutzung/
Rat für Sozial- und Wirtschaftsdaten. (RatSWD, 2023). Forschungsdatenmanagement in kleinen Forschungsprojekten – Eine Handreichung für die Praxis. RatSWD Output Series, 7. Berufungsperiode Nr. 3. https://doi.org/10.17620/02671.72