Filtered (48)
Filters
Search
Type
Categories
Show (48)
Cancel
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

Belgian DPA General Secretariat Artificial intelligence systems and the RGPD from a data protection perspective

AI, Lawfulness of Processing, Principles, Specific processing situations, Transparency

Case C 203/22 on AI and automated decisions, the right of access under the GDPR, and the protection of trade secrets

AI, Automated Decision-making, Controllers and Processors, Specific processing situations

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

Case C‑740/22

Definitions, Personal Data

Case C‑604/22

Joint Controllers, Personal Data

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)

Transparency and Consent Framework Policies by IAB Europe

Consent, Cookies, Lawfulness of Processing, Principles, Transparency

Annex: A summary of the Transparency in Health and Social Care guidance impact assessment by the UK ICO

Controllers and Processors, Data Protection Impact Assessment (DPIA), Principles, Sensitive Data, Transparency

Transparency in health and social care by the UK ICO

Controllers and Processors, Data Protection Impact Assessment (DPIA), Principles, Sensitive Data, Transparency

[Draft] Guidelines on the processing of personal data in regard to recruitment by the UK ICO

Automated Decision-making, Controllers and Processors, Data Protection Impact Assessment (DPIA), Employment, Specific processing situations

Guidelines for evaluating differential priavacy gurantees by NIST

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

AUTOMATED DECISIONMAKING TECHNOLOGY REGULATIONS (DRAFT) by CPPA

Automated Decision-making, Controllers and Processors

Automated Decision-Making Under the GDPR by the FPF

AI, Automated Decision-making, Controllers and Processors, Specific processing situations

Practice Guide to Anonymising Personal Data

Anonymisation, Controllers and Processors

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

Health Data, Principles, Sensitive Data

C-439/19

Criminal Convictions and Offences, Lawfulness of Processing, Principles, Public Interests

Joined Cases C-511/18, C-512/18 and C-520/18

Criminal Convictions and Offences, National Security, Principles, Specific processing situations

C-180/21

Criminal Convictions and Offences, Lawfulness of Processing, Principles, Public Interests

C-205/21

Consent, Criminal Convictions and Offences, Lawfulness of Processing, Principles

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

Health Data, Principles, Sensitive Data

Guidelines scraping by private organizations and individuals by the Dutch Data Protection Authority

Automated Decision-making, Controllers and Processors

PRACTICE GUIDE SECURITY OF PERSONAL DATA Version 2024 by CNIL

Definitions, Personal Data

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

GUIDE TO BASIC ANONYMISATION | PDPC Singapore

Anonymisation

Guidance on Anonymisation and Pseudonymisation | Irish DPC

Anonymisation

Opinion 05/2014 on Anonymisation Techniques | WP216

Anonymisation

Nowak (C-434/16, EU:C:2017:994)

Personal Data

Patrick Breyer v. Germany Case C-582/14, 12 May 2016

Consent, Personal Data

UK MRC Identifiability, anonymisation and pseudonymisation

Anonymisation

What is Personal Data | UK ICO

Personal Data

Guidelines on Automated individual decision-making and Profiling for the purposes of Regulation 2016/679

Automated Decision-making

Guidelines on transparency under Regulation 2016/679

Transparency

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

Guidelines 1/2018 on certification and identifying certification criteria in accordance with Articles 42 and 43 of the Regulation

Certification

Guidelines 4/2018 on the accreditation of certification bodies under Article 43 of the General Data Protection Regulation (2016/679)

Certification

Guidelines 07/2022 on certification as a tool for transfers

Certification

Automated Decision-Making in Online Platforms: Protection Against Discrimination and Manipulation of Behavior

Automated Decision-making, Controllers and Processors

Bodil Lindqvist [2003] Case C-101/01, 6 November 2003

Automated Decision-making

ANAF Case C‑201/14, 1 October 2015

Automated Decision-making, Data Sharing, Data Transfers, Public Administrative Body

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

Anonymisation

Spanish AEPD: 10 MISUNDERSTANDINGS RELATED TO ANONYMISATION

Anonymisation

A Guide to UK GDPR Principles | UK ICO

Accountability, Accuracy, Data minimisation, Integrity and confidentiality, Lawfulness of Processing, Principles, Purpose limitation, Storage limitation, Transparency