Resource Directory

The webinar introduces different storage solutions for research projects, guide you through key data security measures throughout the research process, and present different preservation options and requirements. By the end of the presentation you will know how to define a strategy to protect you...

The webinar introduces various legal and ethical requirements in Switzerland when conducting research in the social sciences. In particular, you will learn which laws apply to your discipline (whether or not you collect personal and sensitive data), your rights and obligations with respect to pro...

The webinar introduces researchers to the importance of data sharing and some key requirements to make data sharable, such as consent, documentation and anonymization. It then presented different solutions for data sharing and present in greater depth the new FORS online repository SWISSUbase. By...

The webinar provide an introduction to open research data and data management, before focusing on data management planning by guiding you through the SNSF DMP template.

This guide provides an overview of data linkage, analyses the main advantages, and summarizes the challenges quantitative researchers and data practitioners face when working with multiple data sources. Moreover, this document aims to provide examples of the developments of data linkage in Switze...

The advent of Open Science poses a number of challenges for researchers with regard to research data management. Amongst the most salient is the necessary balance between data protection and openness. This guide aims to clarify the rights and obligations of researchers regarding the protection of...

In the social sciences in recent years, replication has received increased attention, as there has been a growing understanding that for research to be credible it is crucial that studies can be repeated. Replication allows for determining the validity of scientific conclusions. This FORS Guide p...

This document is useful when researchers are entering a dataset or a data file in order to deposit their data. It defines and explains the categories of controlled vocabulary lists used in the SWISSUbase metadata schema for the social sciences. The categories were chosen based on the set created...

This document provides a description of all metadata (mandatory and non mandatory) for creating studies and depositing data in SWISSUbase.

The SWISSUbase User Guide will guide you through the most important steps of submitting your project and depositing your research data.