I - 1 Introduction to data management planning

Licenced under CC-BY 4.0 and OSI-approved licenses, see licensing.

Overview

Teaching: 15 min
Exercises: 0 min
Questions

  • What is a DMP?

  • Why write a DMP?

  • When write a DMP?

  • How write a DMP?

Objectives

  • Explain the data management plan what, why, when and how.

What is a Data Management Plan?

A data management plan (DMP) is a living document, that will develop throughout the project, from planning until the project ends.

It is a document addressing requirements and practices for managing the project’s data, code and documentation.

It outlines the data management strategies in a project. Making plans for how you will collect, document, organize, and preserve your data are all part of the data management strategy.

The main parts of a DMP

  1. Description of data
    • What types of data will be created and/or collected, in terms of data format and amount/volume of data?
  2. Documentation
    • How will the material be documented and described, with associated metadata relating to structure, standards and format for descriptions of the content, collection method, etc.?
  3. Storage and backup
    • How is data security, storage and backup of data and metadata safeguarded during the research process?
  4. Legal and ethical aspects
    • How is data handling according to legal requirements safeguarded, e.g. in terms of handling of personal data, confidentiality and intellectual property rights?
  5. Accessibility and long-term storage
    • How, when and where will research data or information about data (i.e. metadata) be made accessible? E.g. via deposition to international public repositories.
    • In what way is long-term storage safeguarded, and by whom?
  6. Responsibility and resources
    • Who are the responsible persons for data management?
    • What resources (costs, labour input or other) will be required for data management?

Why write a DMP?

A DMP is a good way to obtain well-managed research data, and this in turn allows for:

  • verification or refinement of published research results
  • reduces the potential for scientific fraud
  • promotes new research through the use of existing data
  • discourages unintentional redundancy in research
  • provides resources for training new researchers

Also, funding agencies often requires a DMP:

  • For transparency and openness: publicly funded research data must be discoverable, accessible, and reusable to the public
  • Return on investment: well planned data maximizes the research potential of the data and provides greater returns on public investments and research

When write a DMP?

A DMP is a living document, the initial version is written the same time as a new project idea is emerging, and then successively updated as the project continues and new decisions are made:

Project planning: The DMP should outline the strategies for data management in sufficient detail to be able to estimate the resources needed to implement the DMP, so that this can be included in the proposal for funding (e.g. data production, data analysis, storage during and after project, costs related to publishing of data).

Project start: The DMP is completed with more details e.g. about documentation, data quality measures, file and folder strategies, etc.

Project end: The DMP is updated a final time with e.g. links to published data and details about archiving (what data and where), so that this document enables future re-use of the project (by yourself or others).

How write a DMP?

Standard DMP templates can typically be found at funder agencies, e.g. Swedish Research Council Links to an external site. and Science Europe Links to an external site., and it is of course possible to write in your favorite text editor.

However, the questions in these templates are quite high-level, with little or no guidance on how to answer them.

Luckily, there are tools to assist you: