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Data Management Plan (DMP): Home

A data management plan (DMP) is a document that describes your data and how you manage them during and after the research process.

What a DMP Does

It makes you think ahead how to handle your data throughout the entire research process, and things you need to sort out or clarify at the outset. A well-thought-out DMP is like a guiding map, which helps to prevent problems from happening and ensures the data are managed properly for present and future use. Therefore, with or without a funder's requirement, creating a DMP is always beneficial for your research.

Create a DMP and Get the Benefits

To get the benefits out of a DMP, researchers have to do some prior thinking and preparation for certain matters or issues that may need to be addressed. 

Matter / Issue Resulting Benefits
File naming convention and structure Have a well-organized filing system that facilitates file retrieval and version tracking.
Data storage and backup Prevent data loss.
Data description and documentation Resulting datasets are discoverable, understandable and reusable.
Sensitive and personal data handling Prevent disputes caused by data leakage.
Intellectual property and copyright Avoid allegations of rights infringement.
Data archiving and sharing  Archiving and sharing datasets in an open repository can increase their visibility and impact.
Long-term preservation Data maintained regularly can be used repeatedly for future research. 

Depends on the nature of your research, you may or may not be concerned with some of the above items. Yet, there are more details you need to include in your DMP, which are mostly basic and factual information.

What to Include in a DMP

A DMP may be as simple as a one- to two-page document, and you can update it as often as needed. The following is a list of the commonly seen elements. Some funders may have their own requirements. 

  • Basic Information: Project title and description; PI and contact person; Costs and funder.
  • Data: Data type and file format; How or where to get the data; Technical methodology and data processing tool.
  • Data Management: File naming convention and versioning; Documentation and data description (Metadata); Storage and backup.
  • Ethics and Rights: Owner of the data; How to handle sensitive / confidential data and privacy issues. 
  • Preservation and Sharing: Data deposition policy and long-term preservation plan; Date sharing policy and restrictions.  

If you are unfamiliar with some of the topics listed above, there are online guides that can help, such as:

Apart from reading guides, studying other researchers' DMPs is a good way to gain practical knowledge.

Examples of DMPs

There are many things a beginner can learn from other researchers' DMPs, such as their styles and practices. Some universities and organizations share examples of DMP on the web for public access like the ones below. While they may not be exemplary plans that suit all your purposes, you can find in them different data management approaches that can help to enrich your skills in crafting your own DMP.

Supply and Demand of Proteins During Neuronal Growth and Extension [UC San Diego Sample NSF Data Management Plans]

PDF
Noncommutative surfaces and Calabi-Yau algebras [UC San Diego Sample NSF Data Management Plans] PDF

Drosophila Genetics [By University of Glasgow via the Digital Curation Centre (DCC)]

PDF
Court Workforce Racial Diversity and Racial Justice in Criminal Case Outcomes in the United States [By University of Washington via DMPTool] PDF

Towards a semantic and syntactic search engine for electronic corpora of Greek and Latin [By University of Exeter via DMPonline]

PDF

Visit the sites inside the square brackets to view more DMPs for other subject fields.

If you are ready, go to the next box to try creating a DMP for your project.

Create a DMP

You can try creating a DMP using the template developed by the Library as a pilot project. The template includes questions in 6 areas. After answering the questions, you can export the DMP as a text document and edit it with a word processor. Guiding information and examples are provided for each question to help you finish the plan. You can update your plan anytime you want.  

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Highlights

DMP Creation Tools

HKUST Library DMP Sandbox

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DMPTool

DMPonline

 

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