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Collaborating with Whitehall II

We are committed to maximizing the use of Whitehall II data to advance scientific knowledge and we welcome proposals for collaborative projects for bona fide research.

We make data as widely available as possible while strongly protecting confidentiality, and making sure that we maintain the reputation of the study, its funders and its participants.  All proposals are reviewed by the data sharing committee.

For aggregate data, please contact the researcher you wish to collaborate with.

For individual-level data, we follow a controlled access model for sharing, which is described in our Whitehall Data Sharing Policy in word (also in PDF). This policy conforms to the MRC Policy on Research Data Sharing

For general data sharing enquiries, please contact whitehall2@ucl.ac.uk
For projects involving genetics, please contact Dr Meena Kumari

Please note that for collaborative projects we charge a modest fee to cover the administrative costs associated with the management and generation of the bespoke datasets while data sharing through DPUK is free of charge. 

Data Sharing Committee

The Data Sharing Committee (DSC) comprises the Whitehall II study Director and PI, co-Investigators and associated senior study researchers, statisticians and the core operational team. The committee reviews both DPUK applications for access to WII data and collaborative application involving WII research team members. 

The committee meet once a month to review the scientific merit and the suitability of the Whitehall II Study, for the data sharing requests as well as the ability of the applicants(s) to deliver on the project.  The proposals can be approved fully, or approved pending further information or rejected, with an explanation to the applicant.

Data Sharing Committee Members

Prof Mika Kivimaki, Director and PI, The Whitehall II study 
Professor Eric Brunner, (Co-PI)
Professor Archana Singh Mantoux, (Co-PI)
Professor Jenny Head, (Statistician)
Professor Annie Britton, (Epidemiologist)
Dr Andy Ryan, (Senior Data Manager)
Dr Adam Tabak, (Clinician and Senior Research Associate)
Dr Severine Sabia (Senior Research Associate)
Dr Joni Lindbohm (Research Fellow)
Dr Philipp Frank (Research Fellow)

Applying for data

For applications to access WII data through DPUK, please follow the instructions on the DPUK website.

For collaborative proects involving individual level data, please submit the following two documents:

  1. the WII Data Sharing Application Form in word format (also in PDF).
  2. the WII Excel Data Dictionary with the list of variables needed for the project. Please highlight only the variable names needed for your project

The WII research team meets monthly to evaluate all applications received. Upon approval of an application, applicants will be asked to sign the WII Data Sharing Agreement (last page of application form) and proceed with the payment.

Within two weeks of the receipt of this document and of the payment, the data manager will release an anonymised dataset, tailor-made for each project.

For aggregate data, please contact the researcher you wish to collaborate with.

Data Documentation  

You can obtain a detailed description of the WII variables in the following sources:

- DPUK WII data dictionery 

Excel data dictionary  

Questionnaires

Clinical Measures

On request, we can supply documentation such as copies of other WII questionnaires (FFQ, MMSE, GKQ, cortisol diaries, etc), clinical protocols and syntax of derived variables.

Payment 

There is no charge for accessing data through DPUK

There will be a charge of £500 + VAT for each collabortive data sharing project. This will cover the administrative costs associated with the management and generation of the bespoke dataset.

This fee will need to be paid upon approval of the application. 

To proceed with the payment, please click on the link below. You will need to have your data sharing reference number in hand. 

Whitehall II Data Sharing Fee

Additional requests might incur further costs depending on the required data management time.

Any Questions

Please check our Frequently Asked Questions (FAQs).