SAR Database contains details of staff & ex-staff Data Protection Act (DPA) SARs received by BIS (including predecessor departments BERR and DTI, and relevant Executive Agencies), and DECC.

A Data Protection Impact Assessment (DPIA) is one of the ways to find out what privacy risks people face when information is collected, used, stored, or shared about them. This helps the London Borough of Barnet find issues so that risks can be taken away or lowered to a level that is acceptable. It also cuts down on privacy breaches and complaints that could hurt the Council's reputation or lead to action by the Information Commissioner (the government watchdog). The London Borough of Barnet makes DPIAs public in with its Data Charter and the 2018 Data Protection Act and UK GDPR.

DP (Data Protection Act) / SAR (Subject Access Request) - Total Received - (YTD)

This dataset is about books. It has 2 rows and is filtered where the book is Privacy and data protection law in Ireland. It features 7 columns including author, publication date, language, and book publisher.

We will conduct personal data protection law advocacy seminar related materials

DP (Data Protection Act) / SAR (Subject Access Request) - % In time

🇬🇧 영국

DP (Data Protection Act) / SAR (Subject Access Request) - Out of time

DP (Data Protection Act) / SAR (Subject Access Request) - % In time - (YTD).

The Freedom of Information Act 2000 (FOI) was intended to promote a culture of openness and accountability by giving people the right to access information held by public authorities; to improve public understanding of duties, why decisions are made and how public money is spent.

A Subject Access Request (SAR) is a written request that entitles individuals to find out what personal data is held about them by an organisation, why the organisation is holding it and who their information is disclosed to by that organisation.

🇬🇧 영국

🇬🇧 영국

This table compares, without analysis, the provisions of Alberta's Personal Information Protection Act, British Columbia's Personal Information Protection Act, the federal Personal Information Protection and Electronic Documents Act, and their Regulations.

In this Data Literacy Snack we delve into the basics of privacy and data protection laws while focusing on the ever so relevant General Data Protection Regulation (GDPR). This European regulation has provided one of the world´s strongest set of data protection rules: enhancing the rights of the data subjects while imposing legal obligations not only onto companies but onto every person or organization dealing with (collecting, processing) personal data. Some of the main questions discussed in our session included: what are the key data protection principles to observe in a research project and how to comply with them?

Provide the Ministry of Justice's Personal Data Protection Zone "Questions and Answers on Personal Information Protection Law" (by year/quarter).

Provide a list of central competent authorities that are not public agencies under the Personal Data Protection Act.

Since the entry into force of the General Data Protection Regulation (GDPR), on 25 May 2018, only digital processing of the most sensitive personal data must be subject to prior formalities with the CNIL.

These formalities may take the form of simplified declarations (declarations of conformity with a reference framework proposed by the CNIL), requests for an opinion (for the sovereign activities of the State) or applications for authorisation (in the field of health). To find out more: cnil.fr.

In accordance with the amended Data Protection Act (Article 36), the CNIL keeps available to the public the list of these formalities in an open and easily reusable format, known as “List article 36”.

** Warnings:**

1/The published data are the result of the prior formalities completed, since May 25, 2018, by the controllers of personal data processing at the CNIL, via its dedicated teleservices. The CNIL cannot be held responsible for their content.

2/The processing carried out on behalf of the State may not appear in the dataset, the formalities having been completed in the form of requests for an opinion on a draft regulatory act (decree or decree) not submitted via the teleservices mentioned. The information relating to these treatments is available on Legifrance, the opinion of the CNIL being published with the act authorising the treatment (to access the deliberations of the CNIL: https://www.legifrance.gouv.fr/initRechExpCnil.do). In addition, some important treatments are subject to fiches on the CNIL website.

3/Exceptionally exempted from the publication of the regulatory act authorising them (decree or decree) are not included in the published data set, in accordance with article 36 of the amended Data Protection Act. The treatments referred to in Article 30 I and II may be exempted, by decree in the Council of State, from the publication of the regulatory act which authorises them. These treatments are mentioned in Decree n°2007-914 of 15 May 2007.

This dataset contains privacy policies paragraphs in Portuguese. Each paragraph was annotated by an expert annotator, using a guideline (DOI: 10.5281/zenodo.13371432). Two types of notes were made: the category of the Brazilian Data Protection (LGPD) Law that fits the text and the level of compliance with LGPD.

The categories are divided into three blocks: Omission of data required by law (block 1), Data processing (block 2), Unclear language and others (block 3). There are 3 levels of compliance, with level 1 being in compliance with the law, level 2 being partial potential non-compliance, and level 3 being potential total non-compliance.

There are 6341 distinct paragraphs. The corpus has more records (8341 clauses), as there are duplications, since a paragraph can belong to more than one guideline category. Pontetially non-compliant clauses corresponds to 1413 records (21.9%). Below, statistics regarding the number of paragraphs belonging to each category and frequencies of categories in privacy policies.

The Ministry of Economic Affairs and its affiliated agencies are to implement the Personal Data Protection Act in order to ensure the protection and management of personal data, and have therefore established these guidelines.

This law sets out the principles, rules and mechanisms for managing the processing of personal data in a responsible, transparent and ethical manner, with the aim of protecting the rights of data subjects and promoting the investment environment, competition and development of national and international trade in the context of the digital economy and society.

Profiling of individuals based on inborn, acquired, and assigned characteristics is central for decision making in health care. In the era of omics and big smart data, it becomes urgent to differentiate between different data governance affordances for different profiling activities. Typically, diagnostic profiling is in the focus of researchers and physicians, and other types are regarded as undesired side-effects; for example, in the connection of health care insurance risk calculations. Profiling in a legal sense is addressed, for example, by the EU data protection law. It is defined in the General Data Protection Regulation as automated decision making. This term does not correspond fully with profiling in biomedical research and healthcare, and the impact on privacy has hardly ever been examined. But profiling is also an issue concerning the fundamental right of non-discrimination, whenever profiles are used in a way that has a discriminatory effect on individuals. Here, we will focus on genetic profiling, define related notions as legal and subject-matter definitions frequently differ, and discuss the ethical and legal challenges.