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Research Data Management: Data Management Planning

What is Data Management Planning

A data management plan (DMP) contains all the information related to managing the data for your project: what data, stored where by whom, how it is looked after and when it is made public. Source: University of Hertfordshire

Planning how you are going to look after your data during your research, share it with your collaborators, and how you're going to preserve it after the project will save you time and money during and after your project. 

Guides for Data Management Planning

Data Management Planning (UK Data Archive)
Point you to key matters to consider in a data management and sharing plan.

Data Management Plans (MANTRA)
Take a short online course on data management planning here.

Guidelines for Effective Data Management Plans (ICPSR)
A set of guidelines, resources and example plan by ICPSR.

Data Management Planning Tool

DMP Tool is an online tool for building data management plan. You will need to create an account on the site to use the step-by-step guide.

Data Storage Options Provided by NUS IT

OneDrive for Business OneDrive for Business is a cloud-based file storage system, giving you a 1TB of storage to share documents with anyone, with online editing and collaboration tools for Microsoft Office documents.
nBox nBox is an online storage space for NUS staff to securely access and share data any time, any place and from any device.

Source: NUS IT

NUS Data Management Policies

It is stated in NUS Research Data Management Policy that "Data should be stored at NUS in a way that permits a complete retrospective audit if necessary. Unless ethical, professional or funding body guidance requires otherwise, research results should be archived in a durable form that is, as far as possible, immune to subsequent alteration for a minimum period of 10 years." 

Elements of A Data Management Plan

Data Organization/Filing

When you start your project, you should think carefully about the filing system that you use so that information is easy to find later. A little forethought now will reduce the post-project transformations required for preservation. 


Data Storage and Security

Your data are the life blood of your research. If you lose your data, recovery could be slow, costly or worse, it could be impossible. Therefore, through the course of your research you must ensure that all your research data, regardless of format, are stored securely, backed up and maintained regularly. 


Documentation

When you start your project you should plan to record your decisions, methods and the development process so that when you write up your project in reports, papers, articles, and theses, and when you archive your data for reuse and verification, you have all the information required. 


Ownership and Rights

As a researcher, you should clarify ownership of and rights relating to research data before a project starts. Ownership and rights will determine how the data can be managed into the future, so these should be documented early in a project.


Data sharing and Licensing

The decision to share your data will require the consideration of a number of issues relating to their subsequent discovery, access and future use. Find out here to identify the key points that you need to consider when making your data available to other researchers.


Data preservation

After you've finished with your data and published your work, you need to consider what data to keep, and what data to delete. This is a tough decision, but storing redundant data is expensive. Consider what can be reproduced and what tools you have produced that are independently valuable.


Source: Mantra; University of Hertfordshire

Useful Resources