The livelihoods of many millions of people are currently threatened by overexploitation of natural resources, climate change and environmental pollution. These challenges can only be overcome through international cooperation and a comprehensive scientific data base.
Although the technical solutions for exchanging, securing and analyzing data already exist, research data is not readily available to the public.
DatAlumni conveys basics and background in research data management, so that research data are FAIR1) and contribute to a reproducible, understandable and accessible global data basis. Jointly with the ZMT Alumni, we want to identify data management challenges within the different disciplines and national infrastructures and develop strategies and strengths for the management of research data.
The ZMT Alumni become multipliers to promote the FAIR handling of data at their home institutes. The activities are supported by the digital ZMT initiative DigiZ.
In the first phase we design and conduct an online survey to get a clear picture of the interdisciplinary practices with research data.
A digital kick-off workshop Alumni-Circle on Data Cooperation with the ZMT Alumni Network will happen in autumn 2020. In Spring 2021 a scientific alumni conference Solving global challenges through data cooperation is planned
1) Acronym FAIR stands for data that are findable, accessible, interoperable, reusable. Wilkinson, M. D., et al. (2016). "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018, DOI:10.1038/sdata.2016.18.
Resources for data management training
- Three 20 minute videos introducing the principles of data management, FAIR principles and data management plan by the Danish e-Infrastructure Cooperation: https://vidensportal.deic.dk/en/RDMELearn
Holmstrand, K.F., den Boer, S.P.A., Vlachos, E., Martínez-Lavanchy, P.M., Hansen, K.K. (Eds.) (2019). Research Data Management (eLearning course). doi: 10.11581/dtu:00000047
- More information on "How to FAIR": https://www.howtofair.dk/about/
- Find free online courses e.g., about data analysis: https://www.edx.org/
- List of data repositories for your discipline: https://www.nature.com/sdata/policies/repositories