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Hi all, We are seeing this increasingly, and there is a fragmentary approach across groups who collect data in the same university who would benefit from a streamlined and common data access policy and framework for research data of a personal nature. On the Data access side, there are the 5 Safes processes used by the UKDS and ONS and other key data providers and which are operated also by many of the MRC investments, though with varying degrees of transparency and cost/ease of access. A robust framework means: 1 Publishing a statement about Data access, all of your raw data has a risk of disclosure so would need to be made available under what we call safeguarded conditions. This can be done via your university Data repository via a simple metadata access that sets our access criteria. Rules of access need to be clear and concise and the process also clear about what you can and cannot do, so that they are not open to exploitation. 2. Enabling and vetting safe projects and people. Due to data protection risks, access may need to be only for 'bona fide researchers' through a rigorous application process. There are good examples of such application forms which make the user specify project requirements, e.g. must benefit science, have a hypothesis etc. and how these get judged by a Data Access Committee. One can also specify user competence to ensure potential users have a relevant track record and are not just fishing. These safeguards mean that data only goes to researchers with a valid aim/ scientific benefit in mind and have the skills. In addition, one can specify vetting the outputs before publication if you are worried about risk of disclosure or sensitivity. The Data Service has been running access to safeguarded and controlled data for many years. We will be running a webinar of data access frameworks in the New Year showing what a project applications forms and processes look like, what does a Data Access Committees and how do we streamline our governance frameworks to enable open science yet fulfil data protection? Also how to ensure that data are properly classified so that data with no or less risk are easier to access. Watch this space! I am sure there are people on the list who already operate such processes, so hearing from them is good too Best, Louise __________________________ Louise Corti Director, Collections Development and Data Publishing __________________________ T +44(0) 1206 872145 E [log in to unmask] W www.data-archive.ac.uk __________________________ UK Data Service UK Data Archive University of Essex Wivenhoe Park Colchester Essex CO4 3SQ Corti, L., Van den Eynden, V., Bishop, L and Woollard, M. Managing and Sharing Research Data: A Guide to Good Practice. Sage Publications Ltd. http://www.uk.sagepub.com/books/9781446267264 Legal Disclaimer: Any views expressed by the sender of this message are not necessarily those of the UK Data Service or the UK Data Archive. This email and any files with it are confidential and intended solely for the use of the individual(s) or entity to whom they are addressed Hello, We've been asked to come up with a policy for how to respond to requests for embargoed/sensitive datasets in our repository. Does your institution have such a policy? If so, could you please share it? I'm happy to summarize for the list, if it's useful for anyone else. Thanks in advance, Jen Smith Research Services Unit The University of Sheffield