The development of new and innovative methods of disclosure control, or the techniques used to safeguard the confidentiality of information, are vitally important to the current and future management of longitudinal data. This workshop aimed to share information and insight into current innovations within the disclosure control field. This workshop was hosted by CLOSER.
Longitudinal studies depend on a trust relationship with their participants. It is therefore crucial that those managing longitudinal data are aware of the risks relating to disclosing participant information. With study participants asked to provide personal, and at times, sensitive details about themselves, it is essential that data managers employ best practice in disclosure control to ensure no individual is identifiable from published data. These risks occur throughout the data collection pipeline (i.e. from data acquisition, through processing, to dissemination to analysts and finally publication into the public domain). Best practice is likely to emerge from a mix of:
At this workshop, delegates from the longitudinal community, including data managers and researchers, met to share information and insight into current methods of disclosure control and their implementation in longitudinal studies.
Throughout the morning, delegates were given in-depth overviews of current disclosure control frameworks and statistical disclosure control techniques including:
As the session came to a close, it was noted that while each of the statistical/computational methods represents an exciting innovation within the disclosure control field, each also comes with its own limitations. Whilst it’s essential that uncertainty be added to datasets, it was agreed that different contexts would require different techniques to ensure best practice.
During the afternoon, delegates heard from the data managers from CLOSER partners, including the Centre for Longitudinal Studies, the Avon Longitudinal Study of Parents and Children, the MRC National Survey of Health and Development, the MRC Lifecourse Epidemiology Unit at the University of Southampton and the UK Data Service, who detailed the current approaches to disclosure control used in their respective studies and services. There was some variation in practices adopted by the various studies and service providers. Commonly reported practices included creating bespoke datasets for researchers (although there was differing approaches to the ‘sub-setting’ of bespoke datasets to include only relevant variables, ensuring data requests are from credible sources (variously known as ‘bona fide’ or ‘safe’ researchers) and the requirement for data use contracts. It was noted that the use of 3rd party routine records (e.g. health record spruced from the NHS) required the use of additional safeguards.
The workshop’s final discussion centred predominantly on identifying where and why a potential breach of information may occur and recognising best practice going forward to reduce the risk of any such incident occurring by developing a community approach to disclosure control standards within longitudinal studies.
Visit the CLOSER website to access the programme and presentation slides here.
Phone: 020 7911 5320