Open Data

In recent years a number of changes in scientific research took place, under the umbrella of the ‘open science’ label. Open access has essentially been introduced in natural sciences. Many researchers followed the path of open source by making their simulation codes publicly available. Presently the introduction of open data (and open data management plans) are on the horizon (or already introduced) by many European Funding Agencies. But the implementation of open data poses many challenges.

  • Publications

Minutes of the Workshop on Open Data and Data Management 2018
  • 2018

Open Data and Data Management – Issues and Challenges

Organised by the Swiss Academy of Sciences (SCNAT), the one-day workshop on Open Data and Data Management gathered around 120 participants on Monday, 29 October 2018 in Berne. Globally, it was a very successful event enabling the sharing of partially contrasting opinions on the topic by all involved parties. The main outcome is that a general practice cannot be followed, because each scientific field has its specific needs and limitations.
"Open Data in Science" Workshop, Brüssel, 31.01.2018
  • 2018

Open Data en sciences : recommandations pour l'Europe

Pour faire avancer l'Open Data en science, les membres européens de l'International Council for Science (ICSU) ont adoptés une déclaration avec des recommandations pour l'Europe. Celles-ci concernent les Principes FAIR pour les données, les répertoires de données, la compétence en matière de données, les systèmes d'incitation et de récompense, la gestion des données de recherche et la culture de la recherche.

Open Data
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Open Data
Open Data

On 29 October 2018 more than 120 scientists discussed issues with open data and data management, organized by the Platform MAP of the Swiss Academy of Sciences. Below you find the minutes, the presentation and the flyer of the event.

Open Data bottom-up

The SNFS with its funding scheme «Scientific Exchanges» also supports the organisation of events that allow research communities to exchange best practices on how to develop a Data Management Plan, preparing research data and making it publicly available.