Research data management

Research data are as diverse as the research topics and scientific fields of the SFB 1070 ResourceCultures itself. Research data are those (digital) data that are collected, created or used as evidence in scientific research activities as part of the research process. Research data can be numerical data from experiments, measurements and simulations in complex tabular formats, but also interview data, audio and video recordings, transcriptions, source indexing, image information and much more. Thus, all materials and data that are available in digital form and are used for research are research data and must be archived as such (DFG 2019, Guidelines for Safeguarding Good Research Practice – Code of conduct) and are suitable for long-term storage and publication in the form of repositories.

Sustainable use of all data requires uniform handling of the data and associated work steps: research data management (RDM). Research data management comprises the entire life cycle of data. From project planning, data generation, data storage, metadata description and documentation to archiving and publication. Responsibility for research data and compliance with discipline-specific standards lies with the scientists as producers and, if applicable, as copyright holders.

The aim of subproject S is to develop individual approaches to modern research data management in the subprojects in close cooperation with the researchers of SFB 1070 and the eScience Centre at the University of Tübingen, and to train them to be able to implement the necessary work steps. The S-Project will achieve this with the following points:

• Provide basic knowledge on research data management in training courses and workshops
• Expand existing competence and best practices and exchanging them in an interdisciplinary working environment and networking researchers
• Support and advise the SFB 1070 subprojects on data collection, storage and documentation of research data
• Provide data infrastructures and services for collaborative work and data storage for the researchers
• Support researchers in the long-term archiving and intended publication of their data
• Support the synthesis of all results in respect to the ResourceCultures concept with the development of a conceptual canon from the (meta)data of the sub-projects

Further information on research data management at the University of Tübingen can be found at the eScience Center.