Research integrity

Elements of our research integrity approach

• Research environment

  Research culture lies at the heart of research quality, serving as the fertile soil in which rigorous, relevant, and innovative inquiry can flourish.

  We believe that cultivating and maintaining an optimal research culture is not merely aspirational but essential to our mission of scientific excellence with impact. We have undertaken systematic measurement, reflection, and targeted action to reinforce psychological safety, accountability, and integrity across our community.

  The Y-Based Framework integrates key dimensions of research quality, including rigor, relevance, originality, and research culture.

  

• Supervision and mentoring

  PhD candidates

  • PhD supervision: Every PhD candidate has at least two and a maximum of four (co-)promotors, one acting as daily supervisor.
  • Mentor: Each PhD candidate has a personal mentor, an experienced PhD supervisor from a different department who is not involved in the PhD candidate’s project. Mentors support candidates in scientific reflection and career planning and are available for help with challenges
  • Confidential support is available for PhD candidates and postdocs who want to discuss challenges they experience during their academic journey, e.g., issues like collaboration problems or disputes with supervisors.
  • Together, the Graduate School and HR provide a training program for supervisors (CAPP), covering topics such as supervision skills, mental health, intercultural communication, and scientific integrity. Supervisors can also attend broader leadership and management courses offered by Radboudumc.

• Research integrity training

  Research Integrity Rounds

  The Research Integrity Rounds are organized at Radboudumc to stimulate dialogue and debate about matters of research integrity. All members of the academic community, from student to PhD candidate to professor, are invited to join this exchange. More information can be found on this webpage.

  Scientific Integrity course

   

  Two-day mandatory course for all 2^nd year Radboudumc PhD candidates. More information can be found on this webpage.

  Supervising PhDs course

  This course contains a module Scientific integrity. More information can be found on this website (CAPP).

• Research ethics structure

  • (Ethical) Review and registration (version 1) (Zenya)

• Dealing with breaches of research integrity

  • Policy and procedures Research integrity (Radboud University)

• Data management

  • RTC Data stewardship provides support and training for research data management (RDM) and research software. Their training, advice and expertise guides researchers through all phases of the Research Data Lifecycle.
  • Open data - FAIR principles: At Radboud University and Radboudumc, all data and code underlying published work should be at least findable and accessible (F and A of FAIR). Radboud University also aims to ensure interoperability and reusability (I and R of FAIR) of research data. However, these are not currently requirements in the RDM policy (Radboud University) and require further efforts. The Radboud Data Repository (RDR) is the preferred data repository to make data as open as possible and as closed as necessary. To support this process, most departments have a designated data steward, and the RTC Data Stewardship assists researchers with all data management-related questions.
  • All PhD theses contain a description of the research data management.
  • Data management (version 1) by Integral Quality System (IQS) (Zenya).

• Research collaboration

  • Contracts and Finances (version 1) (Zenya)

• Declaration of interests

  • Regulations for secondary activities and personal interests (version 2) (Zenya)
  • Gifts and incentives regulations (version 4) (Zenya)

• Publication and communication

  • Guidelines for publication and authorship (intranet)

• Financial accountability

  • Contracts and Finances (version 1) (Zenya)