Open Science for Arts, Design and Music/Guidelines/Preparing sensitive data and resources for publication

From Meta, a Wikimedia project coordination wiki

Preparing sensitive data and resources for publication[edit]

Working digitally, scholars are facing a complex set of legal issues and ethical dilemmas whenever they want to store, use, publish and share data collected from or about human participants. On the top of such dilemmas, researchers are also challenged by the perceived confrontations between the open research culture and the proliferation of ethical review procedures and legal requirements for data protection. In OS-ADM, we see the doctrine "as open as possible, as closed as necessary" and responsible research integrity (including ethical conduct) as different sides of the same coin, as a set of key values of present-day knowledge creation such as fairness, transparency, equality and increased rigour and accountability in scholarly activities. The resources below guide the identification of sensitive data, associated changes in the research workflow, the selection of data/resources for publication, anonymization, pseudonymization and other good practices in data protection that help ensure the strictest ethical, legal conduct but also maximize the proportion op data/resources that are openly sharable.

  • The OpenAIRE "How to deal with sensitive data" guide gives an overview of what qualifies as sensitive data and how to prepare sensitive data for storage and sharing.
  • The "Protect" chapter of the CESSDA Data Management Expert Guide covers protocols for ethical review, processing personal data, anonymization and collecting informed consent. The guide had been written with Social Scientists in mind but is useful for anyone working with personal data.
  • The DARIAH ELDAH Consent Form Wizard supports arts and humanities researchers in obtaining GDPR-compliant, valid consent for data processing in the context of their specific professional activity.

This tool will guide you through a questionnaire that will consequently generate a GDPR-compliant form for obtaining consent from data subjects, tailored to your specific purpose and the data categories you intend to collect.

  • Good practices coming from arts disciplines
  • summary chart on the most frequent scenarios plus their conduct throughout the research workflow
  • Publishing closed access in institutional repositories or under embargo --> link to the rainbow chart
  • Institutional national data support services in Switzerland