Get involved in the world of FAIR data!
The digital world forgets nothing, a common saying claims. However, anyone who has ever tried to find data that is only a few years old on the global web and then reuse it with up-to-date software knows that digital information can very well get lost. To ensure that this does not happen to valuable research data, numerous players in science are currently working on making this data as FAIR as possible - findable, accessible, interoperable and reusable.
To stimulate and support interdisciplinary exchange in this area, the Helmholtz Metadata Collaboration (HMC) in close cooperation with the Helmholtz Information & Data Science Academy (HIDA) is launching the new HMC FAIR Friday lecture series on 18 March 2022. It is aimed at experienced actors in research data management as well as scientists from all research fields of the Helmholtz Association and beyond. The HMC FAIR Friday series will feature talks by high-ranking national and international speakers who will bring all participants (even) closer to the world of FAIR data, deepen individual aspects and stimulate discussions.
Spring/Summer 2022 FAIR Friday lectures are scheduled for
18 March 2022, 1 pm CET with Dr Tibor Kálmán (Gesellschaft für wissenschaftliche Datenverarbeitung mbH, GWDG)
29 April 2022, 1 pm CEST with Prof Dr Sören Auer (Director TIB Hannover)
20 May 2022, 10 am CEST with Dr Anusuriya Devaraju (Data Innovation Manager of the Terrestrial Ecosystem Research Network, Australia)
24 June 2022, 1 pm CEST with Dr Janine Felden (PANGAEA Group Leader, AWI Bremerhaven)
08 July 2022, 3 pm CEST with Tom Morrell (Research Data Specialist, Caltech Library, USA), READ MORE ...
Presentations take place on Zoom. Interested parties are cordially invited, the talks will be held in English.
Background information:
The Helmholtz Metadata Collaboration is the most recent platform of the Helmholtz Incubator for Information & Data Science. Within it, the Helmholtz Association pursues the goal of implementing research data management in accordance with the FAIR principles, promoting the qualitative enrichment of these data through metadata, and thus increasing the trust in and international visibility of research data.
HIDA – the Helmholtz Information & Data Science Academy – is Germany’s largest postgraduate training network in the field of information and data science. We prepare the next generation of scientists for a data-heavy future of research.
With more than 43,000 employees and an annual budget of 5 billion euros, the Helmholtz Association is Germany's largest scientific organization. The Helmholtz Association's mission is to pursue long-term research goals of the state and society, including basic research, in scientific autonomy
