When requesting data from this study you guarantee that you will maintain data security at all times. Data access will be limited to the declared collaborators for analyses within the stated purpose. You will not make any copies of this data or transfer to third parties. No other use of this information is permitted without first seeking further approval from the Study Management Committee (or their delegates). Any shared data is confidential and must not be disclosed to any other parties without additional approval. Please quote the Unique Identifier for your release in all subsequent correspondence.
Where data is accessed on SRCP, you guarantee that your assigned individual user account is kept confidential and not shared with anyone else under any circumstances, including collaborators listed on this request. Each individual must only use their own user account.
Removal of Machine Learning (ML) models trained on study data from the SRCP is not permitted unless there is compelling evidence that the models do not pose a risk of individual-level data disclosure. Model performance metrics and other standard analytical outputs may be released following standard output checking. If you wish to request the removal of a trained ML model from the SRCP, we will work with you to undertake a risk assessment to determine whether this may be possible. More information can be found here: https://srcp-docs.readthedocs.io/en/latest/03-Taking-files-on-and-off-SRCP.html#machine-learning-models
CONDITIONS FOR THE USE OF DATA
Datasets provided for one project should not be used for another unrelated project. Permission must be sought to continue using data in the event of any change to your institution circumstances (e.g. leaving your institution or changing institutions).
ACKNOWLEDGEMENTS
All publications must be published in line with the UKRI Open Access Policy. Please provide the study team with a copy of any papers published on study data and any press releases related to publications.
DERIVED DATA
Any new derived data points generated from the approved project data must be shared with the study team so they can be incorporated into the study database where appropriate, and added to the data dictionary.
DESCRIPTION OF YOUR REQUEST ON THE STUDY WEBSITE
To reduce inadvertent duplication, information about approved data requests may be made public on the study website. Published information will comprise the title of the proposed analysis, your name and research institution.