Platform III: Open Science, Data & Methodologies
Tathagata Bhattacharjee, KEM Hospital Research Centre & John Norrie, University of Edinburgh
This platform provides methodological support for RESPIRE programmes, as well as developing data science solutions to maximise the efficient and safe use of routine data within and across the participating RESPIRE countries, in a sustainable way. This includes data sharing, transfer, depositing and management.
People
The platform is co-led by:
- Tathagata Bhattacharjee, KEM Hospital Research Centre
- John Norrie, Professor of Medical Statistics and Trial Methodology, University of Edinburgh
Tapas Kumar Mohanty, based at KEM Hospital Research Centre is RESPIRE’s Informatics & Data Science Liaison Officer, and works closely with project leads and Partners.
Key activities
We support each project to develop a data management plan, outlining how data will be handled both during the research project and after the project is completed.
We work closely with partners to identify secure repositories for all project data. Where appropriate, each RESPIRE project will make research data available on an open access data repository, so it may be reused and built upon in future research. Where this is not possible, for example due to the sensitive nature of the research or a small population size, access to the data will be managed in a secure and responsible manner.
We are enabling the discovery of all RESPIRE datasets by listing their details, in the form of metadata, on the Health Data Research Innovation Gateway – a website providing a common entry point to discover and enquire about access to health datasets for research and innovation.
We are also advising partners to prepare data access statements for inclusion in published articles, to raise awareness of their datasets in peer-reviewed journals and reports.
Data Champions, based within each RESPIRE partner organisation, are working closely with the Methodology and Data Science team to facilitate data management activities locally and build data sharing expertise in-country.
Please note that project-specific information, including data management plans, metadata, and details on datasets and related items, can be found on individual project/Fellow/PhD pages.