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ITS Research

The ITS Research group provide computing facilities, support and resources to assist researchers in performing cutting-edge research at Queen Mary. We offer a wide range of services to meet the needs of researchers across the three faculties as well as the Life Sciences Institute.

We provide support for the exceptional IT requirements of researchers complementing and augmenting those offered by the other areas of IT Services, particularly in the area of High Performance Computing.

If you want to know more about how we can support your research IT needs, our Research Consultants are here to help you from the conception of an idea right through to the publication of results by helping you to:

  • plan and provision of your IT requirements (e.g. costing your IT specification for research grant proposals);
  • design and select your computational protocols and appropriate tools;
  • manage and curate your data.

If you are interested in any of our services or would like to have a chat to see how ITS Research can enhance and add efficiency to your research, please email the team at: its-research-consultants@qmul.ac.uk.

Pre-Award Support

Researchers preparing grant bids are encouraged to contact ITS Research to assess their IT requirements. ITS Research can help with IT costing, clarify technical requirements, suggest available services and provide guidance for researchers formulating a Data Management Plan (DMP) for submission with their application.

Please contact ITS-Research consultants at least 3 weeks in advance of the award deadline for pre-award support e.g. by emailing: its-research-consultants@qmul.ac.uk

Data Management Plans (DMP)

A DMP is a document that details how data are to be handled both during a research project, and after the project is completed. Many funding bodies have made a DMP a mandatory requirement for research grant applications. The purpose of the DMP is to ensure that you have taken into account best practices associated with managing research data throughout the research lifecycle e.g. quality assurance, ethics, storage, security, archiving and sharing.

The Library provides some additional information on Research Data Management.data lifecycle

ITS Research encourages researchers and postgraduate students across all academic disciplines to formulate a DMP prior to the start of their research, and to continue to develop it throughout their project.

A good data management plan should:

  • help the study team manage research data;
  • identify specific factors that may promote or limit data sharing;
  • justify the resources and funding required;
  • clarify at an early stage individual and institutional roles and responsibilities;
  • carefully consider how data quality, security, confidentiality and sharing will be managed.

ITS Research Consultants are happy to provide guidance on your data management plan.

Please email: its-research-consultants@qmul.ac.uk at least 3 weeks in advance of the award deadline.

Joint Research Management Office (JRMO)

The JRMO support academics and clinicians by providing information and advice for their research. They can provide direction, costing advice, ethics and governance preparation for QMUL researchers. ITS Research encourages all researchers to contact the JRMO before they start applying for grants and completing a Data Management Plan. It is important to capture your IT requirements early and discuss these with the JRMO to ensure the correct standards are being followed.

Data Safe Haven (DSH)

To ensure we meet strict data standards within the School of Medicine and Dentistry we can provide access to a Data Safe Haven (DSH) to allow research using personal, sensitive or confidential data.

The service provides robust controls and safeguards to enable the secure transfer of sensitive data into a highly secure environment where it can be stored, manipulated and analysed by approved members of a research team.

REDCap (Research Electronic Data Capture)

REDCap is a mature, secure web application for building and managing online surveys and databases. REDCap provides automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, Stata, R), as well as a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. More information can be found on the Project REDCap website.

REDCap is part of the Data Safe Haven and is specifically geared to support data capture for clinical research studies.

We are happy to provide a demonstration of REDCap to see it it meets your data capture requirements. Please email: its-research-consultants@qmul.ac.uk

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