This project aims to contribute to the improvement of documentation and archiving standards (conform the FAIR principles) for systematic Mediterranean archaeological field survey.

Early diagnosis, new treatments, and personalised care: all of these are possible if we can better unlock the wealth of information hidden in health data. Unfortunately, this data is often poorly organised, difficult to access, and not interoperable. The new international Leiden Institute for FAIR and…

On 22 August, the GO-FAIR IN Africa was launched: an implementation network under the GO FAIR efforts to train, build and change the next generation of the Internet of FAIR Data and Services (IFDS).

Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.

On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.

On 1 November 2019, international Master's students Data Science from Leiden University presented the elaboration of their data concepts to senior officials of the House of Representatives and Rijks I-Ecosysteem. With the presentation, they successfully completed this part of the Data Science master…

Advanced microscopy to understand life and fight disease: that’s the goal of the new NL-BioImaging network that will develop and integrate state-of-the-art microscopy technologies and services. Researchers from all Dutch universities, including Leiden University and the Leiden University Medical Centre,…

Data and information should be stored in a way that computers can understand, says Barend Mons, professor of Biosemantics at the Leiden University Medical Center and Chair of the High Level Expert Group for the European Open Science Cloud. We speak with him about FAIR data, knowlets and nanopublicat…

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