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.
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.
- Online Survey Data Management - see HERE the evaluation of our online survey on expertise, challenges and needs of ZMT Alumni
- Alumni Circle on Data Cooperation, September 2020 - see HERE the minutes of our digital kick-off workshop
- Alumni Conference "Solving globals challenges through data cooperation", March 2021, the Call for Abstracts will be published soon
Resources for data management
- With your input from the Online Survey, we compiled HERE a list of data repositories and portals, which are relevant for research data of ZMT Alumni and staff.
- 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/
- A list of data repositories for different disciplines: https://www.nature.com/sdata/policies/repositories