06 Dec Colloquium: Anonymisation and the demands on the qualitative researcher
10:00 am - 3:00 pm
methodology seminar | level: beginner
registrations and venue via KU Leuven
This one day colloquiums aims to present a short overview about anonymising qualitative research data. This discussion of some practical aspects of anonymising is designed to be of illustrative use to qualitative researchers confronting similar challenges and dilemmas.
10:00 – 11:30: Introduction to data anonymisation [provisional]
Dr. Sara Szoc (CrossLang and KU Leuven, Comparative, Historical and Applied Linguistics) & Tom Vanallemeersch (CrossLang, previously KU Leuven, Centre for Computational Linguistics)
Abstract: while large data repositories, maintained for instance by public organisations, hold a huge potential in terms of applications, owners are reluctant to make the data available to other parties due to the presence of confidential information, such as names and account numbers. In this context, an important role can be played by anonymisation software. We will give a general introduction to the field of anonymisation and the related field of named entity recognition, describe techniques and tools (in terms of domain of applicability, adaptability, languages supported, etc.), provide examples relating to unstructured and structured data, and provide hints on how to reduce manual effort when annotating training data for new models.
11:30 – 11:50: coffee break
11:50-12:50: Anonymisation and the GDPR
Jessica Schoers (Research Unit KU Leuven Centre for IT & IP Law (CiTiP))
Abstract: the presentation will give a short overview of the GDPR and of the Article 29 Working Party 05/2014 on Anonymization. It will explain the difference between anonymization and pseudonymisation and show the difficulties with regard to anonymization from a data protection perspective.
12:50 – 14:00: lunch break
14:00– 15:00: Processing health data and re-identifiability issues
Dr. Mahsa Shabani (KU Leuven, Interfaculty Centre for Biomedial Ethics and Law)
Abstract: Human data collected in various settings are important and rich resource for biomedical and clinical research. At the same time, concerns about the identifiability of data have been central to discussions regarding adequate protection of personal data and privacy. Addressing such concerns is paramount for research and clinical data repositories, as well as for ensuring interoperability of standards across jurisdictions. However, in spite of increased scholarly and policy scrutiny during the past decade, questions remain about when health data can be truly irreversibly de-identified. In this lecture, I will focus on the concept and scope of identifiability, contextual issues in determining identifiability, and will provide an overview of current access management mechanisms in order to protect health data that are collected and used for scientific research purposes.
Date & Location:
6th December 2019
Mgr. Sencie Instituut-
Erasmusplein 2, 3000 Leuven
This colloquium is intended for QUALITATIVE researchers.
REGISTRATIONS ARE CLOSED.
dr. Sara Szoc &Tom Vanallemeersch, Jessica Schoers, dr. Mahsa Shabani