Guidelines on Digital Research Data at the TU Darmstadt
The guidelines of the TU Darmstadt express the self-image of the members and affiliates of the university on how to handle digital research data. They refer to “all digital data that are created by transformation from an analogue medium or in the course of experiments, measurements, simulations, computer program development, studies of primary sources, surveys or inquiries or are their result.”
The guidelines were first adopted in 2015 and updated in 2022.
Journal Policies
Publishers have created policies for the handling of data and require, for example, the provision of data as supplementary information or a data availability statement. Here an overview from fdm-Bayern (German) on journal policies.
FAIR Data
The FAIR principles aim at improving re-usability of research data. Data and associated metadata should be Findable, Accessible, Interoperable and Reusable. The principles are targeted at both researchers and infrastructural institutions that establish services for research data. Many funding agencies have integrated the FAIR principles into their programmes and the principles have also found their way into the DFG Code of Good Scientific Practice.
Further information:
Mark D. Wilkinson et al: The FAIR Guiding Principles for scientific data management and stewardship