When employees leave, they take their skills and institutional knowledge with them. It is important to record essential informative information related to projects and datasets to ensure the success of future users. If the team has been consistent in data documentation and following a Data Management Plan, this process will be smoother. However, we understand best laid plans often go awry.

Have you reviewed RDM Onboarding? We suggest starting there!

Ready for RDM Offboarding?

We have created guidance that outline the important steps for offboarding employees when they leave the institution. This guidance focuses specifically on research data. While the principles are general, overall steps focus on Harvard policies and resources. You will find internal links to applicable practices, and external links as supplementary resources. You may want to also review HUIT's guidance on preparing for leaving Harvard. For assistance with terminology, visit Data Management Terminology

Jump to the Offboarding Checklist Document.

Watch a webinar about RDM Offboarding.

Offboarding: Data Planning

Create, Refer to, or Update a Knowledge Transfer File

Having carried out biomedical research, you have produced and/or acquired reagents and datasets, developed and used experimental and data analysis methods, and accumulated other important research records.

To ensure long-term accessibility and facilitate reuse of your reagents, data, and methods by colleagues, it is important to create a descriptive Knowledge Transfer File with relevant metadata. Refer to this document throughout the offboarding process.

  • Your scientific advisor, lab manager, or department administrator may be able to provide a template or formatting suggestions to guide you as you create your Knowledge Transfer File.
  • Further information about the creation of a Knowledge Transfer File is provided throughout this checklist.

The Knowledge Transfer File should include:

  • Contact information related to projects, reagents, and datasets
  • Location of reagents, datasets, and research files
  • Documentation regarding publicly shared datasets (e.g., README Files)
  • How the projects, reagents, and datasets relate to publications and grants
  • Specific grant information relevant to projects, reagents, and datasets, including grant number, start, and end dates
  • Project start and end dates, if known
  • Other key dates associated with project timelines, reagent and dataset production, and publication
  • Additional metadata addressing file naming conventions, directory structure, file formats, relevant software tools, access permissions, and versioning

Download and utilize the Knowledge Transfer File Template.

Comply with Institutional, Departmental, and Lab Policies and Procedures Related to Data Retention

Harvard and many granting agencies have requirements addressing the timelines for data retention and maintenance. Determine the length of time the data produced must be retained per Harvard policy.

  • Consult your PI, lab manager, or department administrator for specific policies related to your area of study.
  • Include within your Knowledge Transfer File:
    • Grant information relevant to projects and datasets, including grant number, start, and end dates
    • The entity responsible for future maintenance of the data

Offboarding: Data Storage

Review and Organize Your Data

Transfer Access Permissions for Collaborative Data to Appropriate Lab Members or Colleagues

Identify Data for Migration to Long-Term Storage

  • Contact the group responsible for research data management at your institution to learn more about long-term storage options (e.g., HMS Research Data Management).
  • Identify data for migration to long-term storage.
  • Ensure residual data not moved to long-term storage is properly backed up to prevent data loss.
  • Document the location of data moved to long-term storage in your Knowledge Transfer File and/or other format requested by your PI or lab manager.

Identify Data for Potential Deletion

Ensure Proper Storage of and Access to Lab Notebooks and Electronic Lab Notebook(s)

  • Store your lab notebook and other lab records according to lab protocol.
  • Confirm your lab notebooks are accessible to appropriate lab members and collaborators.
  • Review options and guidance for Electronic Lab Notebooks.

Offboarding: Data Sharing

Review Policies of Confidentiality, Data Security, and Intellectual Property (IP)

Properly protecting research data is a fundamental obligation grounded in the values of stewardship, integrity, and commitments to the providers and sources of the data.

  • The University's Harvard Research Data Security Policy (HRDSP PDF) addresses the need to protect confidential and sensitive information that is maintained in the various spheres of University administration, and the proper management and stewardship of research data.
  • The University’s Intellectual Property (IP) Policy governs the ownership and disposition of IP including, but not limited to, inventions, copyrights (including computer software), trademarks, and tangible research property such as biological materials. The policy encourages the viewpoint that ideas or creative works produced at the University should be used in ways that are meaningful in the public interest.
  • Consult with your PI or lab manager for further guidance, as necessary.
  • Complete the Harvard Research Data Security Training Course (University-Wide).

Identify Publisher, Funder, or Institutional Requirements for Data Sharing

Identify Which of Your Datasets Should Be Deposited and Shared in Repositories

  • Review appropriate data repositories to comply with data sharing requirements.
  • Identify which of your datasets are or should be deposited and shared in public repositories.
  • Identify which of your datasets are or should be deposited and shared in non-public repositories.
  • Confirm that data in proprietary repositories is appropriately accessible to other lab members.
  • Document shared datasets in your Knowledge Transfer File.

Transferring Data to Other Institutions

  • Consult with your PI or lab manager prior to data transfer.
  • If transferring data to another institution prior to your departure, ensure that sensitive data are securely stored.
Research Data Offboarding Webinar
RDM Seminar Recorded Spring 2024
Watch the following video to learn more about the offboarding process.