Speaker
Description
Data collections at GESIS - Leibniz Institute for the Social Sciences are currently managed with a common metadata database to support the search and re-use of research data. This involves a variety of tools, e.g. for study-level documentation, PID registration, data file management, and question and variable documentation. Colectica is currently added to the available metadata management tools to improve the effectiveness and stability of procedures. This process holds both challenges and opportunities for the metadata workflow.
Current tools support the DDI-Codebook and DDI-Lifecycle standard, depending on publication needs. Given the existing metadata production and management ecosystem, the presentation will highlight the benefits and disadvantages of the new way of working with Colectica. Other presentation areas will include technical challenges, improvements in using DDI-Lifecycle features, and better search functions for research data at the GESIS website.
