Managing Qualitative Social Science Data An interactive online course

This interactive on-line course prepared by the Social Science Research Council and the Qualitative Data Repository contains four modules about different aspects of RDM of qualitative data in Social Sciences. Each module is composed by multiple lessons and can also function as a stand-alone resource to be completed individually. Most lessons include associated readings, resources, exercises, and activities.

Five steps to decide what to keep

The Digital Curation Centre has prepared a tool to guide researchers in their preservation strategy. Through a series of checklist, researchers are guided to reflect on what purposes the data could serve in the future, to consider what requirements they need to fulfill and what should be preserved according to the data reuse potential and its replicability. Finally, the costs of the preservation are considered to make a final decision.

Publishing and sharing sensitive data: guidelines and decision tree

ANDS has published a comprehensive guide about best practice for the publication and sharing of research data (in the Australian context). The guide helps researchers with the publishing phase of senstitive data with a step-by-step approach which covers several phases of the research data lifecycle. These steps are summarized in a decision tree.

Legal instruments and agreements before collecting data

Utrecht University provides an overview of possible legal instruments and agreements that might be necessary to establish prior to data collection. The information is provided in a user friendly approach departing from the perspective of different stakeholders perspective: data subject, third party and data reuser. It then provides extended details of what it instrument entails with further guidance, templates or examples for each case.

Harmonised overview of policies and regulations

The University of Bath has elaborated a page with UKRI and other major funder requirements, together with university policy requirements and national relevant legislation. For each funder, information is given in a set of harmonized sections: providing a DMP, recovering data management costs, providing data access statements, data sharing and data retention.

Research integrity checklist

The University of Oxford has developed a research integrity checklist which compiles all the different requirements set by applicable legislation (e.g. GDPR), the University regulation, domain specific codes as well as project-specific requirements (e.g. research involving animals, overseas-based research, etc.). The checklist is meant to be used at the start of the research to ensure compliance, but also as a tool “to engage in a broader dialogue about research integrity and good practice in research”.