Plan data management
On this page
- What is a data management plan
- Funder requirements
- Data management plan tools & examples
- Find data
- Collect data ethically
- Research with Indigenous communities
- File formats
- File naming, organization, versioning
- Document & describe
- Storage & backup
- Analyze & visualize data
- Prepare data for archiving, sharing
- Where to share data
- Data licenses
- Cite data
What is a data management plan?
A Data Management Plan (DMP) is a document that helps researchers and funding agencies to understand the type of data that will be produced, how they will be managed and preserved, and how they will be shared.
Although a DMP can take many forms, it typically includes the following elements:
|Data collection||What type of data will be collected (formats, file naming and organization, version control)?|
|Documentation and metadata||How will the data be documented and described (metadata, readme files, data dictionaries)?|
|Storage and backup||How will the data be stored, for how long, where will it be backed-up and who will have access to it?|
|Preservation||Where will the data be deposited and how (file formats, documentation, anonymization, etc.)?|
|Sharing and reuse||What data will be shared and under what conditions?|
|Responsibilities and resources||Who will be responsible for the data at the end of the project and what will be the cost of data management during and after the project?|
|Ethics and legal compliance||How will sensitive data as well as legal, ethical and intellectual property issues be managed?|
Source: DMP Assistant
Many funding agencies world-wide require a data management plan and/or data sharing as components of a grant application. In Canada, the Canadian Tri-Agency released a data management statement in 2016 and is expected to publish a research data management policy in 2020 that will outline the agencies' overarching expectations with regard to digital research data management.
Below are the main Canadian and American granting agencies and their policies.
|Funding agency||Policy||DMP||Data sharing|
|SSHRC||Research Data Archive Policy|
|CIHR||Tri-Agency Open Access Policy on Publications
(See section 3.2)
|Genome Canada||Data Release and Sharing Policies|
|NIH||NIH Sharing Policies|
|NSF||Dissemination and Sharing of Research Results|
|NEH||Data Management Plans for NEH Office of Digital Humanities Proposals and Awards|
Tools to assist you with the creation of a DMP
Data management plan preparation tools
|Tool||Description||Concordia Library service offer|
|DMP Assistant||Canadian web-based bilingual tool that guides you step-by-step through developing a data management plan with the help of a generic DMP template. Discipline and funder-specific DMP templates are forthcoming.||
What we offer:
|DMPTool||American tool helpful for writing DMPs requested from Amercian funding agencies. Includes templates from various U.S. funding agencies.|
|DMPonline||British tool helpful for writing DMPs requested by British and European funding agencies. Includes templates from U.K., U.S. and European funding agencies.|
Examples of data management plans
- DMP exemplars in a variety of disciplines (Portage Network)
- Qualitative research DMP exemplars.
- DMPs created for a workshop given at Concordia Library in June 2020.
- Examples of completed DMPs (these may not have been assessed for quality or completeness)
Checklists and self-assessment tools
Questions to ask yourself and general guidelines when writing a data management plan:
- Data Management Plan Self-Assessment Questionnaire (Purdue)
- Data Management Plan Support (University of Nebraska, Lincoln)
- Elements of a DMP: Explains importance of each section and provides example answers (ICPSR)
- Checklist for a Data Management Plan (Digital Curation Centre)
Pre-registration is the practice of publishing, in advance, how you plan to collect data and analyze it. The idea behind pre-registration is to ensure that the data generated during a research project is used to test a hypothesis rather than to generate one. This improves the quality and transparency of research and also addresses the replication crisis.
- OSF Preregistration: Centre for Open Science initiative
- AsPredicted: Generate a pre-registration document by answering nine questions.
- Amercian Economic Association's RCT Registry: Regsitry of Randomized Controlled Trials (RCTs) in economics and other social sciences
- protocols.io: online tool for describing your methodology
- Clinical trials registries:
Image source: Centre for Open Science
Registration reports are a form of pre-registration that are peer-reviewed. Researchers submit papers, for review and approval, that describe their research questions and methodology before the data is collected and the results of the study are known.
The Center for Open Science keeps a list of all journals that publish registration reports.