livMatS and Research Data Management

livMatS develops novel, bio-inspired materials systems that adapt autonomously to their environment and harvest clean energy from it. To sustainably reach this aim, we must make research data findable, accessible, interoperable and reusable (FAIR). Science and society as a whole profit from reduced redundancies, reduced costs, and new possibilities for discovery enabled by FAIR data. But where are the direct benefits of FAIR research data management?

How FAIR RDM benefits you:

  • Assures quality and reproducibility of your work
  • Promotes visibility of your scientific contributions
  • Facilitates collaborative research by making data more findable (if not for others, then at least for your future self)

RDM support from livMatS

To assist with making data FAIR, the livMatS research data management (RDM) concept builds upon the three RDM pillars of advocacy, support, and technical infrastructure:

  • We offer workshops, talks, and direct exchange to increase awareness and RDM best practices (advocacy)
  • We help affiliates with data management-related questions, in particular in creating solid data management plans (support).
  • On the technical level, this means the identification of suitable interoperable RDM services, platforms and tools. In addition, livMatS offers optional access to a livMatS-wide data repository based on bwSFS, the Baden-Württemberg- and DFG-funded S3 object Storage for Science (infrastructure).

To uphold these three pillars lies in the responsibility of the livMatS Data Steward.

livMatS RDM policy

The livMatS RDM policy ( v1.0, 2022-09-30, PDF) constitutes the foundation of this concept. The policy is friendly and open enough not to coerce any affiliated project into the use of particular services. It does however define a minimum set of binding data management principles that livMatS and all affiliated researchers shall adhere to, and distributes responsibilities clearly among you, livMatS and university-central or third-party services.

Resources

Further reading

  • J. Hörmann, “livMatS Research Data Management Concept with a focus on the didactic use of dtool,” presented at the Data Stewardship Workshop 2022, Braunschweig, October 13th, 2022. doi: 10.24355/dbbs.084-202211091503-0.

Contact

Johannes Hörmann
Data Steward
Phone: +49 761 203 95332
Email: data@livmats.uni-freiburg.de