Suchergebnisse

Over the past fifteen years, technology has contributed to the emergence of new types of data, particularly big data, influencing the methods of observation, study, and measurement of social phenomena from the perspective of the social sciences. The increasing digitization of social activities generates vast amounts of data that fuel contemplation about the way modern societies function. Additionally, factors such as the recent COVID-19 pandemic with mandatory social distancing have contributed to the creation of a favourable environment for the generation of new types of data, with an emphasis on big data. Within this ongoing transformation of the data landscape, we will attempt to pose questions related to the environment of Data Repositories/Research Infrastructures and the means/methods of addressing and managing these data. It appears that social research is shifting towards a more "data-driven approach", which requires new skills and capabilities at the intersection of the computational and social sciences. One of the major issues that arise is the potential for collaborations between data organizations and researchers/users of data to promote not only a culture of data sharing but also the reuse of such data. This work will be based on primary and secondary sources generated within the framework of research projects in collaboration with CESSDA ERIC (European Social Science Data Archives-European Research Infrastructures), as well as literature on the management of data from various sources, with an emphasis on their legal/ethical and technical aspects.

This study highlights the role of Research Data Repositories (RDRs) in the concept of data reuse by examining a use case on migration research, a domain that requires up-to-date and accurate data for research and policy purposes. The survey from which the data for the use case was derived aimed to investigate the alignment of humanitarian assistance and social protection in Greece during the post-2015 refugee crisis. Through our analysis, we try to formulate a new corpus of variables and information that can create a value chain for research and policy purposes related to migration research, as well as to draw useful conclusions from this use case study in relation to the concept of data reuse. We address several issues related to data reuse, such as its definition, the role of research data repositories and research infrastructures in data reuse, as well as the limitations and advantages of reuse. We also present some specific features of the SoDaNet RDR, which hosts the primary data. We argue that comprehensive documentation of data adds value to the data and, through reuse, this value can be recycled to the RDR and, therefore, to potential new reusers.

Current trends in computational social sciences and data-driven research require access to reliable data sources. Data repositories fulfil this role, providing high-quality data services, since they satisfy certain requirements that can be briefly summarized as complying with the FAIR data principles. In this context, we outline the measures undertaken by SoDaNet to enhance the data repositories within our infrastructure. Through the adoption and implementation of the Dataverse software, along with a series of adaptations and customizations, we have improved the Findability, Accessibility, Interoperability, and Reusability (FAIR) of the data hosted in these repositories. This effort has resulted in data repositories responding effectively to the demands of the research community, improving the user experience both nationally and internationally.