DataTerminology.comNEW
A dataset available for public use under an open license that permits access, reuse, and redistribution, typically with clear metadata and documentation.
DESCRIPTION
Open datasets are shared for public benefit under licenses allowing broad reuse and redistribution. They are often published on portals with APIs, metadata, and machine-readable formats. Clear licensing (e.g., Creative Commons) and standards like DCAT improve discoverability and interoperability. Open data supports transparency, research, civic innovation, and commercial reuse. Publishers should document provenance and ensure privacy and ethics when releasing data. Quality and timeliness remain essential for usefulness.
ALTERNATIVE DEFINITIONS
Open Knowledge Foundation
Open data is data that can be freely used, re-used and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.
Canonical definition emphasizing freedom to use, reuse, and redistribute with attribution/share-alike conditions.
Data.gov
Open data is publicly available data structured in a way that enables the data to be fully discoverable and usable by end users.
Focuses on usability and discoverability in government open data publishing.
RELATED TERMS
Data License Creative Commons Public Domain Data Portal DCAT FAIR Principles Metadata API Data Discovery Platform Open Knowledge Foundation
COMPETING TERMS
RELATIONS
- Broader: Dataset
KNOWLEDGE AREAS
Data Management Data Governance Data Monetization Data Integration & Interoperability
TARGET AUDIENCE
Data Steward Data Management Consultant Chief Data Officer Data Architect Data Strategy Consultant Information Analyst
EXTERNAL SOURCES
- Wikipedia - Open data
- Open Knowledge Foundation - Open definition and principles
- W3C - DCAT v3 data catalog vocabulary
- GO FAIR - FAIR principles overview
TOP QUESTIONS
Why publish an Open Dataset?
It promotes transparency, drives innovation, and enables research and economic reuse. Open data builds ecosystems and public trust.
Category: Relevancy
What licenses are common for Open Datasets?
Creative Commons (e.g., CC BY, CC0) and Open Data Commons (ODbL) are widely used.
Category: Requirements
How do I ensure privacy in an Open Dataset?
Apply anonymization or de-identification, assess reidentification risk, and publish data protection impact documentation where appropriate.
Category: Risks
What metadata should accompany an Open Dataset?
Include license, provenance, update frequency, contact, schema, and machine-readable catalog entries (e.g., DCAT).
Category: Requirements
Where should Open Datasets be published?
On open data portals, institutional repositories, or platforms like data.gov with APIs and catalog metadata for discoverability.
Category: Management
How is quality measured for Open Datasets?
Completeness, timeliness, accuracy, consistency, and documentation quality; user feedback loops inform iterative improvements.
Category: Testing
What is a misconception about Open Datasets?
That they are always free of restrictions; licenses may require attribution or share-alike conditions.
Category: Misunderstanding
What are typical file formats for Open Datasets?
CSV, JSON, Parquet, and GeoJSON for geospatial; machine-readable, non-proprietary formats preferred.
Category: Example
How do Open Datasets relate to FAIR principles?
Open licensing supports reuse, while FAIR ensures findability, accessibility, interoperability, and reusability through metadata and standards.
Category: Opinion