Resource Directory

The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply w...

In 90 minutes you’ll learn about the role DARIAH and its partners are playing in the creation of the SSH Open Marketplace, how this service is designed to serve Social Sciences and Humanities researchers needs, and especially the Arts and Humanities communities, and how you can contribute to this...

The key issues in secondary analysis as a method. The introductory session briefly covers the pros and cons of reusing data and the importance of learning about the origins of your data. Quantitative and qualitative secondary analysis will be discussed with examples and issues of context, sampli...

In this SSHOCingly good and sustainable tools booklet the tools, resources and plug & play communities produced by the SSHOC project, is showcased through their dedicated factsheets. The booklet start with the SSH Open Marketplace, and continue with the factsheets per category: Sharing & Discover...

Researchers, learn how to make data Findable, Accessible, Interoperable, and Reusable (FAIR), how to assess the FAIRness of research data and which tools to use to make data more FAIR.

The Recommendations for FAIR Data Citation, produced by SSHOC T3.4 "Making Data Findable by being Citable," are born out of the growing need for guidelines for data citation in the social sciences and humanities (SSH). Based on the Force 11 Data Citation Principles and adapted for the SSH, this d...

FAIR data are the pillar of Open Science which is at the core of the SSHOC project. In order to ensure findability of data and other resources, it is crucial to provide easy-to-use recommendations for data citation in the SSH domains. Certainly, there are different needs and practices with regard...

De-identifying qualitative data poses unique challenges given their structure and contextual richness. As the sharing of qualitative data is becoming more common, reliably de-identifying such data is crucial because participants in qualitative research projects commonly receive assurances of conf...

This CESSDA event is a recording of the hands-on workshop on Geographic Information Systems for social scientists with some experience in R that took place on 23 November 2021. 00:00 Introduction: Data Management 17:25 Introduction: Geospatial Data 33:19 Exercise 1: R Warm up 39:49 Data Processi...

A Q&A session with a number of panelists who have experience of installing and/or configuring and/or running Dataverse and Kuha2 as an OAI-PMH endpoint, or preparing the study level metadata files that are harvested from them. This webinar aims at providing support to CESSDA Service Providers wit...