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Managing Data

Data management plans

Once researchers (and librarians) have a better idea of the different facets of data management it is time to put their knowledge into practice in the form of a Data Management Plan or DMP.

You can see a brief introduction to data management plans in the video below.

 

Data Management Plans are roadmaps of how data will be collected, managed and stored as part of a research project. They are compiled prior to the start of a project and last beyond its end point. They are intended to be a living document which is referred to and if necessary adapted throughout the lifetime of a project.

Having a DMP helps the researcher to think about each stage of their project and plan for any eventuality. They function almost as a checklist to prompt researchers to think about all the different aspects of the data they are working with and ensure that nothing is forgotten. They also help researchers to get a better grasp on the materials they are working with. Different disciplines will handle DMPs in different ways, for example in science subjects it may be about dealing with raw data and in humanities it may focus on clearing the rights to images owned by other people.

As well as being good academic practice, funders are increasingly asking researchers to compile a DMP before awarding a grant. This helps to reassure the funder that the recipient has given adequate thought to looking after and crucially sharing the data that they generate.

What does a Data Management Plan cover?

Each funder will have specific requirements about what is included in a data management plan. Full guidance on the most popular funders is regularly updated on the Digital Curation Centre webpages but it is always a good idea to check with the individual funder website.

Typically a DMP will cover the following areas:

The plan should explain exactly what type(s) of data it covers. This ranges from general information about the nature of the data to specific details such as the individual file formats being used. This section of the plan, although basic, is important for understanding other decisions which have been made in the rest of the document.

Researchers should describe the sources of the data and how it was collected, for example was this information the researcher collected themselves or did they obtain it from a third party source? If it is third party data then the plan may need to outline any issues with copyright such as permissions.

DMPs should explain who will be analysing the data and how they will be doing this. This may be the individual researcher, a named person within a larger team or the work may be outsourced to an expert. It is important to record how the data were recorded in case there are any concerns around the analysis in the future.

Every research project needs a plan for how the data are going to be organised both during and after the lifetime of a project. This section should contain information on the organisation of both physical and digital data, any file naming conventions used and why particular methods were selected.

As with data organisation, the plan should clearly describe how data will be stored for the entire lifetime of the project. This includes information on the method of backup selected, the amount of information to be stored, where this will be kept and how often it will be maintained.

In addition to the input methods discussed above, someone within each research project needs to take overall responsibility for the data and how they are managed. Although this is typically the Principal Investigator or researcher in charge there are many reasons why another designated individual might take responsibility. This decision needs to made early in the project and the individual needs to be aware that they have this responsibility. This will help that adequate procedures are put in place and maintained for the life of the project.

The ethics of any project should be considered as a priority but researchers need to think carefully about any personal or sensitive data they may use in their work. A DMP will need to include specific detail on how this will be managed, any restrictions placed on its use and how they plan to make it available to others. The definition of sensitive data varies from country to country so researchers should make sure that they check local practices.

Many research funders mandate that the data produced by projects they fund should be made widely available, both as a way to perform quality checks and as an aid to other researchers who might find that data useful. Data needs to be prepared for sharing by adding adequate metadata to ensure that the maximum number of people can find it. Researchers also need to consider how they will share the data with collaborators and supervisors during the project and any potential restrictions which could impact these plans.

Good data management planning extends beyond the life of a project and researchers should think carefully about how their data is preserved in the long-term. This includes selecting an appropriate repository which meets the set criteria for preservation and the DMP may include a justification for this choice. Researchers should also think about using accessible file formats which can widen access and ensure that the data is not lost should proprietary software cease to exist.

It is important to remember that a data management plan is just that - a plan. Circumstances will inevitably change over the lifetime of a project and researchers should think of a DMP as a living document which they revisit periodically to ensure that it is still fit for purpose and take into account any changes which need to be made.

Data Management Plan tools

Producing a DMP can seem like a daunting task but luckily there are many online tools available to help researchers. The most popular of these is DMP Online from the Digital Curation Centre which guides researchers through the exact information required by their funder to produce a working plan. It may also be useful to view examples of existing plans to see the types of information that are commonly required.

Once they understand the basics, library staff can offer their research community a great deal of support with creating and refining a data management plan. Individual funders often have specific guidance available on their webpages which library staff can access and this will detail exactly how much detail they expect to see included. Librarians can act as interpreters and help researchers to put together a plan which suits both them and their research funder's needs.

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