Researchers are encouraged to
Posted: Sun Feb 09, 2025 4:46 am
The course covers many facets of working with these data, including trust in researchers, the ‘five safes’ of the data security model, relevant legislation, sanctions for security breaches, and statistical disclosure control. think about how all of this relates to their own proposed research. Moreover, the course includes numerous examples of (fake) outputs that participants have to evaluate as ‘safe’ or ‘unsafe’ for release, identifying any problems observed.
The approach helps to cement the core messages and austria rcs data gives the researcher a good idea of what those checking for disclosure issues are looking for and why. This is hugely important; by having a full understanding of the various ways in which potentially disclosive information may be presented, researchers can avoid submitting outputs for release from Secure Lab that will be returned to them for changes before they can be passed as ‘safe’. The ‘to-ing and fro-ing’ involved when this happens can take valuable time for both researcher and support staff, which we hope will be reduced by researchers receiving practical training in disclosure issues. If the researcher performs an effective initial check for Statistical Disclosure Control issues, then everyone benefits as outputs are likely to be released sooner.
Any researcher attending this course should leave with a greater understanding of the ‘principles-based’ approach to statistical disclosure control and an increased awareness of how to use these sensitive data as safely as possible, helping them to carry out their analyses in a safe and secure way. This can only be good news for everyone involved – data owners, RDCs, data subjects and researchers and in supporting impact development through supporting timely dissemination of the research.
The approach helps to cement the core messages and austria rcs data gives the researcher a good idea of what those checking for disclosure issues are looking for and why. This is hugely important; by having a full understanding of the various ways in which potentially disclosive information may be presented, researchers can avoid submitting outputs for release from Secure Lab that will be returned to them for changes before they can be passed as ‘safe’. The ‘to-ing and fro-ing’ involved when this happens can take valuable time for both researcher and support staff, which we hope will be reduced by researchers receiving practical training in disclosure issues. If the researcher performs an effective initial check for Statistical Disclosure Control issues, then everyone benefits as outputs are likely to be released sooner.
Any researcher attending this course should leave with a greater understanding of the ‘principles-based’ approach to statistical disclosure control and an increased awareness of how to use these sensitive data as safely as possible, helping them to carry out their analyses in a safe and secure way. This can only be good news for everyone involved – data owners, RDCs, data subjects and researchers and in supporting impact development through supporting timely dissemination of the research.