Resource Directory

This book’s online resources are organised around the different phases of the research data lifecycle, to offer the support you need to complete each stage of your research project successfully.

Pre-registration and registered reports are increasingly advocated to improve the credibility and rigor of empirical research. Pre-registration and more strongly registered reports are expected to reduce reporting and publication bias because they request researchers to define a detailed research...

This document provides points of reference for researchers seeking to manage their data in the most ethical way possible in the era of open research data. Through a presentation of binding and non-binding regulatory frameworks, it addresses some points to be taken into account in order to make da...

The Guide to Social Science Data Preparation and Archiving is aimed at those engaged in the cycle of research, from applying for a research grant, through the data collection phase, and ultimately to preparation of the data for deposit in a public archive. The Guide is a compilation of best pract...

Data management describes the handling, organisation, and structuring of research material during the research process. On these pages SND has collected useful information about how to maintain, preserve and share research data.

This guide helps drafting a data management plan (DMP) from the perspective of the social sciences. Drawing on the model developed by the Swiss National Science Foundation, it provides recommendations and tips on how to address the main topics of the DMP so that it fulfils the funder’s requiremen...

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that...

Drawing on the Swiss context, this Guide illustrates key considerations in crafting a coherent anonymization strategy that is compliant with legal requirements and ethical norms. It shows how to strike the right balance between anonymization and other data protection measures, namely informed con...

The trend toward and the obligation for sharing and long-term preservation of research data is in conflict with increasingly restrictive data protection legislation and practices on personal data in Europe, such as the General Data Protection Regulation (GDPR). Qualitative research data, in parti...

This chapter in FSD's Data Management Guidelines is divided into the four parts: Copyright, Agreements between researchers, Agreement concerning the transfer of rights and Authorship in scientific publication and research data.