We must publish material from our sessions, so how do we do it safely?

Area of Science:

• Psychoanalysis
• Computer Science
• Data Security

Background:

• The increasing digitization of information and advancements in data linkage technologies raise concerns about the long-term anonymity of clinical data.
• Algorithms can potentially re-identify individuals by connecting anonymized reports with other available information across time and space.

Purpose of the Study:

• To evaluate the risks associated with publishing anonymized psychoanalytic clinical material in the face of evolving internet and data technologies.
• To explore methods for ensuring the continued safety and ethical publication of psychoanalytic case studies.

Main Methods:

• Review of computer science literature on data anonymization and re-identification risks.
• Analysis of psychoanalytic data's subjective and internally consistent nature.
• Discussion of anonymization techniques such as generalization and falsification of identifiers.

Main Results:

• While risks of re-identification exist, they can be effectively managed through rigorous anonymization procedures.
• Generalization and falsification of identifiers are key techniques to prevent "jigsaw puzzle" re-identification.
• The subjective nature of psychoanalytic data is not compromised by anonymization; rather, it can enhance evidential value.

Conclusions:

• Psychoanalytic data remains valuable and ethically publishable, even with advanced re-identification technologies.
• Anonymization, when performed correctly, strengthens the internal validity and evidential power of psychoanalytic case reports.
• The ethical publication of psychoanalytic material requires a nuanced approach to data protection that respects the unique nature of the data.