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Italy’s Data Protection Authority Fines Foodinho €5 Million for Data Violations

Administrative Fines, Employment, Lawfulness of Processing

Decision by German Federal Court of Justice (BGH) on case against Facebook for data scraping incident (german)

Civil Liability and Damages, Data scraping, Liability and Remedies

Records Management Toolkit Tracker

Data Retention, Personal Data Collection, Records of processing Activities (ROPA)

Records Management Toolkit Tracker – more information about the Toolkit by UK ICO

Data Retention, Personal Data Collection, Records of processing Activities (ROPA)

Case C‑21/23 CJEU (full text in german)

Controllers and Processors, Data Breaches, Health Data, Lawfulness of Processing, Principles, Sensitive Data

Press Release No 159/24 on Judgment of the Court in Case C-21/23 CJEU

Controllers and Processors, Data Breaches, Health Data, Lawfulness of Processing, Principles, Sensitive Data

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Best Practices by Pitfalls Gyorgy J. Simon Constantin Aliferis Springer

AI, Health Data, Principles, Sensitive Data, Specific processing situations

National Strategy to Advance Privacy-Preserving Data Sharing and Analytics by the EO by the US President

Anonymisation, Controllers and Processors, Technical and Organisational Measures (TOMs)

Guidelines for evaluating differential priavacy gurantees by NIST

Anonymisation, Controllers and Processors, Technical and Organisational Measures (TOMs)

Mobile Privacy Disclosures by the FTC

Data Subjects Rights, Right to know

Practice Guide to Anonymising Personal Data

Anonymisation, Controllers and Processors

Infographic DPC TikTok Fine

Fairness, Liability and Remedies, Principles, Supervisory Authorities

Decision of the Data Protection Commission made pursuant to Section 111 of the DPA, 2018 and Articles 60 and 65 of the GDPR

Fairness, Liability and Remedies, Principles, Supervisory Authorities

Public Benefit and Privacy Panel for Health and Social Care (Guidance for applicants)

Health Data, Principles, Sensitive Data

Case 4:23-cv-01110-P AHA v. Bacerra

Health Data, Principles, Sensitive Data

Guideline on the massive collection of personal data from the web for the training of generative artificial intelligence (GenAI) models by the Italian Data Protection Authority (Garante)

AI, Data scraping, Specific processing situations

EDPB-EDPS Joint Opinion 1/2022 on the Proposal for a Regulation of the European Parliament and of the Council amending Regulation (EU) 2021/953 on a framework for the issuance, verification and acceptance of interoperable COVID-19 vaccination, test and recovery certificates (EU Digital COVID Certificate) to facilitate free movement during the COVID-19 pandemic |EPDB

Health Data, Principles, Sensitive Data

EDPB-EDPS Joint Opinion 03/2022 on the Proposal for a Regulation on the European Health Data Space

Health Data, Principles, Sensitive Data

Personal data breaches in the health sector: how to avoid them (and how to deal with them when they happen) by the UK ICO

Data Breaches, Health Data

Practice Guide to Anonymising Personal Data by Stiftung Dateschutz

Anonymisation

Joint statement on data scraping and the protection of privacy

Personal Data Collection

GUIDE TO BASIC ANONYMISATION | PDPC Singapore

Anonymisation

Guidance on Anonymisation and Pseudonymisation | Irish DPC

Anonymisation

Opinion 05/2014 on Anonymisation Techniques | WP216

Anonymisation

UK MRC Identifiability, anonymisation and pseudonymisation

Anonymisation

Guidelines 04/2020 on the use of location data and contact tracing tools in the context of the COVID-19 outbreak

Health Data

Guidelines 03/2020 on the processing of data concerning health for the purpose of scientific research in the context of the COVID-19 outbreak

Health Data

Telegram CEO’s Arrest Sparks Debate on Privacy vs. Regulation

Personal Data Collection, Technical and Organisational Measures (TOMs)

Anonymisation: managing data protection risk code of practice | UK ICO

Anonymisation

Spanish AEPD: 10 MISUNDERSTANDINGS RELATED TO ANONYMISATION

Anonymisation