The Digital Services Act (DSA) Transparency Database collects the content moderation decisions that providers of online platforms take on the content generated by their users in almost real-time. In particular, it records a standardised set of information about each content moderation decision, the so-called Statement of Reasons, which includes the action taken, the reasons behind the action as well as its legal or contractual basis among other information.

To enhance transparency and facilitate scrutiny over content moderation decisions, providers of online platforms need to submit these statements of reasons in a machine-readable format to the DSA Transparency Database, allowing to track online content moderation. Its website also offers various tools for accessing, analysing, and downloading the information that online platforms need to make available when they take content moderation decisions, contributing to the monitoring of the dissemination of illegal and harmful content online.

The Federal Advisory Committee Act (FACA) database is used by Federal agencies to continuously manage an average of 1,000 advisory committees government-wide. This database is also used by the Congress to perform oversight of related Executive Branch programs and by the public, the media, and others, to stay abreast of important developments resulting from advisory committee activities. Although centrally supported by the General Services Administration's (GSA) Committee Management Secretariat, the database represents a true shared system wherein each participating agency and individual committee manager has responsibility for providing accurate and timely information that may be used to assure that the system's wide array of users has access to data required by FACA.

This catches the old data warts and all. Not production ready.

Between August 2023 and August 2024, the Federal Trade Commission (FTC) of the United States took law enforcement actions against 20 companies for data privacy and security violations. The latest updated case was with Verkada. The charges were filed by the FTC for failing to secure Videos, Other Personal Data and Violated CAN-SPAM Act.

We curate a large corpus of legal and administrative data. The utility of this data is twofold: (1) to aggregate legal and administrative data sources that demonstrate different norms and legal standards for data filtering; (2) to collect a dataset that can be used in the future for pretraining legal-domain language models, a key direction in access-to-justice initiatives.

A Comprehensive List of Open Data Portals from Around the World

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This document can cover either or both of the database and its contents (the data). Because databases can have a wide variety of content – not just factual data – rightsholders should use the Open Data Commons – Public Domain Dedication & Licence for an entire database and its contents only if everything can be placed under the terms of this document. Because even factual data can sometimes have intellectual property rights, rightsholders should use this licence to cover b...

Cares data

This is the first version of the ACT microlichen sequence database, which includes 347 sequences, representing 151 specimens from 99 microlichen species found in the ACT. It was published in Muelleria in 2022.

Section 18 of Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) authorizes EPA to allow an unregistered use of a pesticide for a limited time if EPA determines that an emergency condition exists. This database provides information about these emergency exemptions.

NASA makes annual reports of progress made on Freedom of Information Act (FOIA) requests. This database contains PDF and XML versions of reports from 1999 to the present.

The feature names data refers to the specific official, commercial or colloquial name used to refer to a particular feature or collective group of features in the ACT. A number of feature names have been formally determined as public place names, for example divisions (suburbs) and some parks, however this does not apply to features such as commercial buildings and schools. The ACT Government is responsible for the naming of public places in the ACT (nomenclature). For further information about Place Names or to search for a specific street or division (suburb), please refer to the Place Names.

Creative Commons License Creative Common By Attribution 4.0 (Australian Capital Territory), Please read Data Terms and Conditions statement before data use.

The Digest is the definitive Roman law compendium compiled under the Byzantine emperor Justinian I (533 CE). This relational database includes the text of Theodor Mommsen’s authoritative edition of the Digest with accompanying information about its compositional structure and its featured jurists. The data was collected from raw text files and transformed to a structured machine-readable form in a Python coding environment. Pre-processed data stored in flat files were loaded to a single super lightweight SQLite database (

As of the end of 2024, multiple laws protecting children's online privacy were active. Some of these rules have come a long way. Being introduced in the 1980s, 1990s, Australia's Privacy Act and Children's Online Privacy Protection Act (COPPA), need modifications to respond to the recent technology developments. The European Union's General Data Protection Regulation (GDPR) and Digital Services Act (DSA) highlight the protection of children's online rights.

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

The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act is a federal statute requiring colleges and universities participating in federal financial aid programs to maintain and disclose campus crime statistics and security information. The U.S. Department of Education conducts reviews to evaluate an institution's compliance with the Clery Act requirements. A review may be initiated when a complaint is received, a media event raises certain concerns, the school's independent audit identifies serious noncompliance, or through a review selection process that may also coincide with state reviews performed by the FBI's Criminal Justice Information Service (CJIS) Audit Unit. Once a review is completed, the Department issues a Final Program Review Determination. Although regular program reviews may contain Clery Act findings, this page includes only those program reviews that were focused exclusively on the Clery Act.

Lanterman-Petris-Short (LPS) dataset contains the number of persons detained or admitted and treated involuntarily pursuant to several sections of the LPS Act in each county and stratified by data elements. This dataset also contains data elements for Senate Bill (SB) 929 and Senate Bill (SB) 43.

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

The Home Mortgage Disclosure Act (HMDA) database (Consumer Financial Protection Bureau, 2022) has compiled mortgage lending data since 1981, but the collection and dissemination methods have changed over time (Federal Financial Institutions Examination Council, 2018), creating barriers to conducting longitudinal analyses. This HMDA Longitudinal Dataset (HLD) organizes and standardizes information across different eras of HMDA data collection between 1981 and 2021, enabling such analysis. This collection contains two types of datasets: 1) HMDA aggregated data by census tract for each decade and 2) HMDA aggregated data by census tract for individual years. Items for analysis include borrower income values, mortgages by loan type (e.g., conventional, Federal Housing Administration (FHA), Veterans Affairs (VA), refinances), and mortgages by borrower race and gender.