







On this site, the District of Columbia government shares hundreds of datasets. The District invites you to browse the data, download it as a file, analyze it with your tools, or build apps using our APIs.
The 8 Principles of Open Government Data (OpenGovData.org)
A set of principles of open government data developed by advocates on On December 7-8, 2007. The meeting, held in Sebastopol, California, was designed to develop a more robust understanding of why open government data is essential to democracy
Datasets
Discover and access the OECD’s datasets, covering a wide range of topics. Browse our catalogue and find the one you need, filtering by policy area or policy issue.

Historical data · adsb.lol
the daily historical archive, open, ODbL, since the beginning.

Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>

Housing Data
Note: We make occasional changes to CSV download paths. Monthly data is updated on the 16th of each month and most weekly data is updated every Tuesday. To explore the data, please visit the market explorer dashboard.

Data Feminism
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...

Adopting Foundational Data Science Curriculum with Diverse Institutional Contexts
This summary was generated using automated tools and was not authored or reviewed by the article's author(s). It is provided to support discovery, help readers assess relevance, and assist readers from adjacent research areas in understanding the work. It is intended to complement the author-supplied abstract, which remains the primary summary of the paper. The full article remains the authoritative version of record. Click here to learn more.

Spatial Data Science
Data science is concerned with finding answers to questions on the basis of available data, and communicating that effort. Besides showing the results, this communication involves sharing the data used, but also exposing the path that led to the answers in a comprehensive and reproducible way. It also acknowledges the fact that available data may not be sufficient to answer questions, and that any answers are conditional on the data collection or sampling protocols employed.
Beautiful Public Data
A curated selection of visually interesting datasets collected by local, state and federal government agencies. By @jonkeegan

IPFS (@ipfs.tech)
🪩 Introducing matadisco.org! — a way to discover open datasets via #atproto that doesn't depend on any single institution staying online. 🕺🏼 We have more public data than ever (satellite imagery, climate models, genomic sequences), but finding it is still painfully hard. https://matadisco.org
Innovation in Data Science Education
Data science is a new field of research focuses on extracting knowledge and value from data. The radical growth in recent years in the availability of data and of the computational resources required to process them, has led to a corresponding increase ...

Data on AI Companies
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
NEW IN COLLABORATION WITH @ddosecrets.org AND @ryanfae.bsky.social: We are releasing a dataset provided to us by "Department of Peace" identifying more than 40'000 employees at DHS. Alongside the raw data we are also providing a search tool. ddosecrets.org/article/icepick icepi.cx
icepi.cx - Home
icepi.cxPart of the datacounterfactuals.org reading lists. Research on data provenance, dataset documentation, licensing and attribution audits, and technical source-attribution methods for understanding which data sources are available, permitted, or responsible for model behavior.
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Datasheets for Datasets
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

A large-scale audit of dataset licensing and attribution in AI