Data Stewardship in the making

Universities are beginning to recognize the value inherent in the vast amounts of research data they hold. However, depending on their institutional trajectory, goals, and organizational structure, they have different philosophies to tackle the challenges associated with making the most of data and meet the requirements of data-driven science, which is at the core of current scientific activity. On the path to curating and managing those data, universities encounter a variety of problems in providing researchers with adequate resources (infrastructures and staff) to meet the requirements of data-driven science, which is at the core of current scientific activity. A much discussed solution involves professionalizing data stewardship at various levels of university organization.

This report, in the form of a toolbox, presents data steward models, together with the requrired competences and training. It allows universities to choose the appropriate implementation strategy based on their characteristics needs.