Wellcome Trust

Wellcome Trust - data and IT requirements

"We are a global charitable foundation dedicated to achieving extraordinary improvements in human and animal health.

We support the brightest minds in biomedical research and the medical humanities. Our breadth of support includes public engagement, education and the application of research to improve health.

We are independent of both political and commercial interests." (Wellcome Trust Website)

UoL DMP Document - Non-RCUK

Wellcome Trust data and IT Requirements - Introduction and summary

Information correct as at July 2013.

Please refer to the full Non-RCUK data mangement planning guidance document.pdf

Please also refer to the University guide 'Introduction to Managing Research Data – For Researchers and Students'

The Wellcome Trust published a position statement on data management and sharing in January 2007 and this was revised in August 2010.

This states that all funded researchers should maximise access to their research data with as few restrictions as possible. It requires applicants whose proposed research will generate data that hold significant value as a resource for the wider research community to submit a data management and sharing plan as part of the application process.

The Wellcome Trust policy is aligned with others including MRC, BBSRC, the US National Institutes of Health and the NCRI Cancer Informatics initiative (refer to University data management guides regarding MRC and BBSRC).

Data management and sharing plan
All applicants for funding should refer to the Trust's guidance on developing a data management and sharing plan .

Wellcome Trust requires that all funded researchers maximise the availability of their research data with as few restrictions as possible.  When applying via the biomedical sciences or medical humanities funding streams and the proposed research will result in data holding significant value as a resource for the wider research community, then you will be required to submit a data management and sharing plan prior to an award being made.

When is a Data management and sharing plan required?
Plans are required in situations where the data outputs form a resource from which researchers and other users would be able to generate additional benefits, where the primary goal is to create a database resource and other research generating significant datasets that could be shared for added value e.g. where the data has clear utility for research questions beyond those that the data generators are seeking to address.

Examples of applications requiring a data management and sharing plan would include large-scale genetic association studies of common diseases; genome-wide or large-scale functional genomic studies in a specific organism; and longitudinal studies of patient and population cohorts.

For studies generating small-scale and limited data outputs, a data management and sharing plan will not normally be required.

Data management and sharing plan content
There is not a set format for data management and sharing plans.

They should be proportionate, both to the scale of the datasets generated and their likely level of value to the research community.

Questions to address concern how data outputs will be managed and shared:

  • What data outputs will your research generate and what data will have value to other researchers?
  • When will you share the data?
  • Where will you make the data available?
  • How will other researchers be able to access the data?
  • Are any limits to data sharing required - for example, to either safeguard research participants or to gain appropriate intellectual property protection?
  • How will you ensure that key datasets are preserved to ensure their long-term value?
  • What resources will you require to deliver your plan?