Data repositories

This introductory webinar is for anyone who is involved in the collection of data and is considering making (some of) their data available in accordance with funders’ requirements. More and more funders are requiring that research data be made available after completion of the research project, usually through the archiving of data in a trusted repository. However, research teams often still lack the appropriate skills and knowledge regarding how to properly prepare their data for archiving and sharing. This webinar aims to raise awareness about relevant key data management practices for sharing, specifically regarding data documentation, gaining consent, and data anonymisation. Addressing each of these three topics, it provides a short theoretical introduction, including what FAIR means and how it is implemented, as well as practical illustrations drawing on a large-scale cross-national survey (the European Social Survey). It also provides some practical tips with respect to data archiving, in particular how to choose an appropriate archive or repository.

DDI-Lifecycle is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible. This version also supports improvements in Classification management (based on GSIM / Neuchatel), non-survey data collection (Measurements), sampling, weighting, questionnaire Design and support for DDI as a Property Graph.

The DDI Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies that can be used with DDI as well as for other purposes and applications. Select DDI Alliance vocabularies are already in use at organizations like the Finnish Social Science Data Archive (FSD), the GESIS - Leibniz Institute for the Social Sciences, the Inter-university Consortium for Political and Social Science (ICPSR), Mathematica Policy Research,  the UK Data Archive (UKDA), and the University at Bielefeld, Germany. Nesstar Publisher (http://www.nesstar.com/) now incorporates the controlled vocabularies for Analysis Unit and Time Method.

As part of the project FDMentor, a German-language train-the-trainer program on research data management was created and piloted in a series of workshops. The comments and tips from the participants in the two pilot phases and the feedback from the relevant community were gradually incorporated over 2019. The second version of the train-the-trainer concept now available offers a revised script with the contents of the teaching units, detailed teaching scripts, working materials, lecture slides and numerous worksheets and templates that are intended to support teaching. The topics covered include both aspects of research data management, such as data management plans and the publication of research data, as well as didactic units on learning concepts.

German version available here: https://doi.org/10.5281/zenodo.1215376 

EOSC-Synergy training platform is set of tools for the creation and conduction EOSC related training courses. It facilitates cloud related courses providing tools for interactive computing. The platform is based on the container’s technologies, that allows for combining together in a suitable learning setup for students/training participants.

The Directory gathers resources which are already available across various institutional websites. Information on relevant documents, training activities, tools, and support services resulting from past and current CESSDA projects and SP activities have been collected, selected, and reviewed specifically for this purpose. The Resource Directory is therefore a curated inventory of these resources. In order to guide the users within the Directory, specific labels, descriptions, and metadata were applied to index and define the resources. The labels and metadata can be used for a more user-friendly search, allowing easy and rapid access to the resources of interest.