Mackey, E. (2019). A Best Practice Approach to Anonymization. In R. Iphofen (Ed.), Handbook of Research Ethics and Scientific Integrity. Springer, Cham. https://doi.org/10.1007/978-3-319-76040-7_14-1
The need for clear guidance on anonymization is becoming increasingly pressing
for the research community given the move toward open research data as
common practice. Most research funders take the view that publicly funded
research data are a public good which should be shared as widely as possible.
Thus researchers are commonly required to detail data sharing intentions at the
grant application stage. What this means in practice is that researchers need to
understand the data they collect and hold and under what circumstances, if at all,
they can share data; anonymization is a process critical to this, but it is complex
and not well understood. This chapter provides an introduction to the topic of
anonymization, defining key terminology and setting out perspectives on the
assessment and management of reidentification risk and on the role of anonymization in data protection. Next, the chapter outlines a principled and
holistic approach to doing well-thought-out anonymization: the Anonymisation
Decision-making Framework (ADF). The framework unifies the technical, legal,
ethical, and policy aspects of anonymization.
In dem vom BMBF geförderten Projekt FeKoM werden Empfehlungen für forschungsethisches Handeln in der Kommunikations- und Medienwissenschaft systematisch erarbeitet, empirisch fundiert und der Scientific Community zur Verfügung gestellt.