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Research Data Management

Understand what RDM is, why it's important to your research process, and how RRU Library can support you.

Data Management plan questions

Data Management Plans (DMP) 

Data Management Plans capture your intended process for gathering, curating, and storing your research data.  While DMPs are Intended to be living documents, altered as the need arises throughout a research project, this page lists the types of information typically included in a DMP. 

Questions listed below are drawn from Portage's ‘DMP Assistant Tool’. When you are ready fill out your DMP, the Assistant will provide a template to follow and complete with examples to clarify the process,

Data Collection

  • What types of data will you collect, create, link to, acquire and/or record?
  • What file formats will your data be collected in? Will these formats allow for data re-use, sharing and long-term access to the data?
  • What conventions and procedures will you use to structure, name and version-control your files to help you and others better understand how your data are organized?

Documentation and Metadata

  • What documentation will be needed for the data to be read and interpreted correctly in the future?
  • How will you ensure this documentation is created or captured consistently throughout your project?
  • If you are using a metadata standard and/or tools to document and describe your data, list it.

Storage and Backup

  • What are the anticipated storage requirements for your project, in terms of storage space (in megabytes, gigabytes, terabytes, etc.) and the length of time you will be storing it?
  • How and where will your data be stored and backed up during your research project?
  • How will the research team and other collaborators access, modify, and contribute data throughout the project?

Preservation

  • Where will you deposit your data for long-term preservation and access at the end of your research project?
  • Indicate how you will ensure your data is preservation ready. Consider preservation-friendly file formats, ensuring file integrity, anonymization and de-identification, inclusion of supporting documentation.

Sharing and Reuse

  • What data will can you share and in what form? (e.g. raw, processed, analyzed, final).
  • Have you considered what type of end-user license to include with your data?
  • What steps will be taken to help the research community know that your data exists?

Responsibilities and Resources

  • Identify who will be responsible for managing this project's data during and after the project and the major data management tasks for which they will be responsible.
  • How will responsibilities for managing data activities be handled if substantive changes happen in the personnel overseeing the project's data, including a change of Principal Investigator?
  • What resources will you require to implement your data management plan? What do you estimate the overall cost for data management to be?

Ethics and Legal Compliance

  • If your research project includes sensitive data, how will you ensure that it is securely managed and accessible only to approved members of the project?
  • If applicable, what strategies will you undertake to address secondary uses of sensitive data?
  • How will you manage legal, ethical, and intellectual property issues?