Main content



Loading wiki pages...

Wiki Version:
Abstract for Poster Session: For over a year now, a constantly increasing number of research projects developed to better understand the effects of the COVID-19 pandemic on society. To obtain thorough and quality assured insights, it is particularly crucial to share these preliminary data and results in both a timely and accurate manner. At the same time, the rapid pace of the disease and the ad hoc mobilisation of resources may also create conditions for inaccurate or low-quality data that is not useful for secondary use. This would pose the danger of diminished scientific impact and social value of the collected data. To support the quality assurance of research data and a cultural shift towards Open Science across larger and smaller ad hoc social, behavioural, educational, and economic research projects on COVID-19, the German Data Forum (RatSWD) started the so-called Best-FDM1 project. The project builds on a collection of more than 200 German research initiatives (as of March 2021) which are systematically categorised in terms of discipline, methodology, research design, and current research phase. An initial analysis reveals that several larger projects provide very carefully designed and openly accessible documentations of their results, questionnaires, and research data management choices that encourage secondary use of their data or data linkages. However, the awareness of the importance of Open Science could be enhanced, particularly among researchers in small ad hoc projects. The Best-FDM project will identify which incentives are necessary to motivate more researchers to share their data and to make their (meta-)data transparent and interoperable. In sum, our poster will present a meta-analysis identifying the gaps regarding Open Science in the social, behavioural, educational, and economic COVID-19 research and illustrate measures aimed at enhancing the openness of these initiatives. Poster Presenter: Andrés Saravia Rat für Sozial- und Wirtschaftsdaten (RatSWD) Research Associate at the RatSWD Office <> +49 30 25491-822 1 Bessere Ergebnisse durch Interoperabilität und standardisiertes Forschungsdatenmanagement: Vernetzung empirischer sozialwissenschaftlicher