Research Data

Priority Area in Detail 

Research data is data produced by scientific projects, for example by means of digitization, the study of sources, experiments, measurements, surveys or questionnaires. The availability and usability of digital information includes access to research data with no costs or barriers. It is important to note, firstly, that this can only be achieved in a national and in many cases an international context, and secondly that developments in relation to research data are progressing at different rates in different disciplines, and may also have varying degrees of urgency. The aim is to initiate and support the necessary processes on a science-driven basis to be able to develop and implement research infrastructures that are usable for specific disciplines. Accompanying professional information management methods will help to collect and archive this data and make it available for further use. 

Outlook and Objectives 2013 - 2017

The working group is concerned with four main topics:

  1. Research data management. This area includes the comparative examination of examples of existing data management checklists and the specification of recommendations on citations for research data. The development of a proposal for minimum requirements for metadata to improve data interoperability and the exchange of metadata also needs to be named here.
  2. Usability and availability of research data. Selected examples of relevant "success stories" will be collected in order to highlight the benefits of the usability and availability of research data and to encourage the publication of research data as standard in all disciplines.
  3. Cost structures play a crucial role in the installation of suitable research data centres and research infrastructures, both national and local. The setup, development and operating costs for selected research data centres in different disciplines will be evaluated in order to obtain a clearer picture of the cost factors for local and distributed data centres in the field of data management.
  4. Legal frameworks.
  5. In addition to clarifying fundamental legal frameworks (for example rights relating to data), mechanisms and guidelines will be developed with the objective to ensure free access to research data and its unrestricted use for scientific purposes. This must not hinder the use of scientific data for technology transfer or knowledge transfer projects, patent applications, or for the provision of value-added services (such as databases with specific evaluation or search software).