Challenges for Scientific Databases

Published on June 22, 2017

Interview with Frédérique Lisacek: Swiss Institute of Bioinformatics, Geneva, Switzerland,
recorded at the  BEILSTEIN OPEN SCIENCE SYMPOSIUM (22 – 24 May 2017).

Frédérique Lisacek is talking with Carsten Kettner about challenges for scientific databases. In Switzerland, at the Swiss Institute of Bioinformatics there are two groups responsible for setting up databases in bioinformatics; one in Geneva looking traditionally at protein data, for example SwissProt, and one in Lausanne looking into DNA data. The main challenge in hosting and maintaining data collections is infrastructure, both in terms of hardware and information curation, i.e. carried out by experts in the corresponding field. Financing curation is a big challenge as it does not traditionally fit in either research or infrastructure. Frédérique tells how important standards are. They need to be developed between people who have the scientific knowledge and people who have the technical knowledge. The coexistence of several standards for the same thing is probably an advantage as no one standard will be able to capture all aspects; however, we should narrow the number down.

Please have a look at our other videos with some speakers and their standpoints on Open Science:

The Open Source Chemistry Lab
Matthew Todd: The University of Sydney, Australia

Making Open Science Sustainable for Chemistry
Ian Bruno: Cambridge Crystallographic Data Centre, Cambridge, UK

Transfer of Metadata from the Bench to Databases
Henry Rzepa: Imperial College London, UK

Uncertainties in Chemistry
Jeremy G. Frey: University of Southampton, UK

Fly-by-Wire Chemistry
Lee Cronin: University of Glasgow, UK

The European Open Science Cloud
Klaus Tochtermann: Leibniz Information Centre for Economics, Kiel, Germany

Libraries in Transformation
Leah McEwen:  Cornell University, Ithaca, USA

Discussion: Retro- and Prospectives on Open Science
Ian Bruno, Stuart Chalk, Martin Hicks, Carsten Kettner, Leah McEwen.

Open Access, Open Data, Open Science, Data Sharing and Big Data are examples of buzz words that are used to describe the new opportunities and demands for sharing and reusing the results of scientific research. This symposium brought together research scientists, data scientists, publishers, funders and other interested parties to review critically current publication practices in chemistry and related sciences.

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