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.

MAP Open Data Survey: Results question 7

Open Data Survey

Around 200 active scientists filled the MAP Open Data Survey in June-July 2020. Thank you!

  • 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 in science: recommendations for Europe

To promote Open Data in science, the European Members of the International Council for Science (ICSU) adopted a statement with recommendations for Europe. These concern the FAIR Data Principles, data repositories, data skills, incentives and reward systems, Research Data Management and research culture.
Open Data
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.