Data linkage is the process of identifying and linking records about the same entity across one or more databases. However, there are benefits as well as challenges associated with data linkage. For instance, enabling linkage between two or more sources of information can help maximise the value of research data, as well as adding high value to existing surveys and effectively creating new data resources. Policy decisions and much scientific research hinge on accurate and comprehensive data and those who are linking data want to do more. However, there are difficulties in defining boundaries around what is technically possible, what is legally permitted, and what should be done ethically. Indeed, linking data can also compromise the privacy of an individual's personal information, making them identifiable, even though their information had been anonymised.
The overall aim of this workshop on data linkage is to strongly encourage interaction between participants from different disciplines, to facilitate cross-disciplinary learning and to set an agenda of the big challenges in the area of data linkage. Topics to be covered and discussed will range from computational and statistical aspects of data linkage, to privacy and confidentiality and application case-studies and examples.
This workshop is delivered by the Turing Gateway to Mathematics, which is the impact initiative of the INI and delivers Open for Business events.
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