Category: FAIR Blog

In this blog post, we look at the need for de-identifying data, the different ways of doing this, and some of the issues around balancing the competing interests of anonymity and reusability of data.

When you are depositing data in a repository for long-term preservation and sharing, you will be asked to select a licence for your dataset. The process of licensing is an important enabler of the FAIR Principle [1] letter ‘R’: ‘Reusable’. This principle advises that data (and metadata) should be released with a clear and accessible…

The aim of this short article is to explore the possible uses of ontologies, as developed in philosophy first and in computer sciences later, and why they are relevant for the social sciences.  After defining what an ontology is, we provide a very minimal yet practical example to illustrate the use of the tool. We…

For more than 15 years DANS exists with a mission to make research data reusable. In this role DANS provides data archiving and publishing services for the Dutch research community with a long history in providing services for the social sciences and humanities (SSH) domain.

In this short article, we describe the FAIR (Findability, Accessibility, Interoperability, Reusability) principles for research software and provide practical recommendations for social scientists. 

The aim of the list is to offer a starter kit to anyone interested in (re)using semantic artefacts (i.e. ontologies, controlled vocabularies, thesauri, and taxonomies) in a social science context, and hopefully inspire them to share any additional resource they may deem useful with the rest of the community. In this short article, we explain…

The goal of this short article is to summarise the main principles of data citation, to apply these principles to the citation of Dutch administrative data via Statistics Netherlands (CBS) and finally to show how the ODISSEI Portal can aid in the process.

The aim of this blogpost is to describe the purpose and structure of FAIRsharing. We think this resource might be very useful for researchers when writing their Data Management Plan (DMP).

The aim of this short article is to explain (1) what FIPs are, using examples that should be familiar to most social scientists; (2) the added values of FIPs for social scientists; and (3) the steps to make a FIP for your community.

By Ricarda Braukmann (DANS & ODISSEI FAIR Support team) Imagine you are reading an interesting article online and the article refers to a paper that was written a few years ago that sounds very relevant for your current work. Wanting to know more, you click on the link to the paper, only to see “404…