ODISSEI, in collaboration with SURF and CLARIAH, is pleased to announce the introduction of the new phase of SANE – Secure ANalysis Environment, a GDPR-compliant solution designed to provide a secure and controlled environment for researchers to analyse sensitive data. The secure environment is now available for use and awaits research projects requiring the usage of sensitive data from various fields.
From 17 to 28 June 2024, ODISSEI is hosting its third summer school at Erasmus University in Rotterdam, as part of the Summer Institutes in Computational Social Science (SICSS) and the Erasmus Graduate School for Social Sciences and Humanities (EGSH). With the summer school, ODISSEI aims to bring together PhD students, post-docs and early career social scientists and data scientists interested in computational social science using ODISSEI. Registration for summer school is open until the 28th of February 2024.
ODISSEI has granted LISS panel grants to five research projects. Read more about each project in this article.
After careful evaluation and extensive consultations with the research community, the ODISSEI Management Board has made the decision to discontinue the MAD program, effective at the end of December 2023. We want to assure you that this change does not diminish our commitment to widening access to microdata.
ODISSEI Conference for Social Science 2023: introducing the new formats and established research community
On 2 November, the ODISSEI Conference for Social Science in the Netherlands 2023 took place. The conference, which welcomed over 360 participants, was the perfect platform for anyone interested in computational social sciences to learn, share, and network. The event took place in the Media Plaza of the Jaarbeurs in Utrecht.
The ODISSEI Conference for Social Science in the Netherlands seeks to bring together a community of computational social scientists to discuss data, methods, infrastructure, ethics and theoretical work related to digital and computational approaches in social science research.
A new prototype version of the ODISSEI Portal has been published. Find more than 7500 datasets available across different Dutch data providers, including CBS, LISS, DANS and HSN. The new version includes enriched metadata making the search results even more relevant to your research question.
CBS (Statistics Netherlands) developed the Person Network (PN), a file that describes networks of the entire population of the Netherlands in 2018. The potential networks of individuals are derived from administrative data (microdata) and contain five so-called network layers: family members, household members, neighbours, colleagues, and classmates. The first pilot for this work, focusing on the information over 2014, was developed earlier through the ODISSEI Secure Super Computer (OSSC). In collaboration with ODISSEI, the Person Network file 2018 was made available through CBS’ Remote Access environment.
The Microdata Access Grant call of 2024 is now open. The MAG offers funding for six CBS microdata projects for researchers working at ODISSEI member organisations. Click here to read the guidelines.
ODISSEI LECTURE: How predictable are fertility outcomes? Introducing the PreFer data challenge and its potential for fertility research
On Tuesday 12 December between 14-15 hrs, Gert Stulp, an associate professor at the department of Sociology at the University of Groningen, will present Predicting Fertility data challenge (PreFer) that will focus on fertility outcomes – whether people have children – using two unique datasets: the LISS panel, a Dutch longitudinal survey, and Dutch population registry data.