Assess FAIRness and check policy compliance

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.

The knowledge base’s of the DataWiz is a complete RDM guideline for Psychology research to support or complement the use of the DataWiz data management tool. The content is structured in three sections: before, during and after data collection & analysis. The first section covers data management planning as well as the various legal and ethical aspects related to data management. The second section focuses on best practices and tips for handling and documenting data during research. Finally, the last section focuses on how to share and preserve data at the end of the project.

Utrecht University has created a simple decision-tree tool that helps researchers to choose a generic repository that best fits their needs. To do so, criteria such as restriction of access and cost of the repository are taken into account.

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.

The University of Ghent summarises all the RDM requirements per funder and grouped into four categories: during proposal stage, post-award data management plan, covering data management costs and data sharing and/or preservation requirements.

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.

Radboud University has created a spreadsheet which lists the journals (and respective publisher) where their affiliated researchers publish more frequently. For each publisher a categorized list of data availability requirements is given (e.g. “Obligatory”, “Encouraged”, “Upon request”, “Optional as supplementary material”). In the spreadsheet, a link to the publisher’s policy page for additional details is provided.

Radboud University provides an extensive guideline on how to obtain and register informed consent, with specific recommendations depending on how consent is obtained (paper-based, online form or oral), what the content of informed consent procedures should be and how to store them. Besides, examples and sample documents are provided to facilitate the process for researchers.

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”.