high-value dataset
Datasets prioritized for availability, interoperability, and reuse.
How the laws define this
Both frameworks treat high-value datasets as priority resources for publication and reuse due to their significant public, social, or economic value, requiring enhanced access conditions such as APIs and full metadata to maximize public benefit. The primary divergence involves their scope, procedural obligations, and risk management. The Act on Open Data and Re-use of Public Sector Information (Ustawa o otwartych danych i ponownym wykorzystywaniu informacji sektora publicznego) limits its application explicitly to public-sector datasets and highlights timely updates as a key condition. Conversely, the National Data Governance Strategy (Nacionālā datu pārvaldības stratēģija) encompasses any datasets designated by authorities and mandates interoperable formatting, specific access modalities, and monitoring. Crucially, whereas both sources prioritize widespread reuse, the National Data Governance Strategy (Nacionālā datu pārvaldības stratēģija) alone explicitly pairs these requirements with a mandate for managing risks alongside public benefit.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Poland | Act of 11 August 2021 on Open Data and Re-use of Public Sector Information | In Force | This definition specifies legal mandates for publication under enhanced conditions like APIs, full metadata, and timely updates, plus centralized access via a national portal. |
| Latvia | National Data Governance Strategy | Draft | This definition adds recommendations for monitoring to manage risks alongside metadata, APIs, and access modalities in a non-binding strategy. |
What it triggers
- In Poland, these datasets must be made available under enhanced conditions via APIs, with full metadata and timely updates.source
- Under the Latvia National Data Governance Strategy, these datasets are designated as priority resources described with metadata, APIs, access modalities and monitoring.source
Definitions (2)
Datasets designated by authorities as priority resources for publication, interoperable formatting and reuse because of their high public or economic value; such datasets are subject to specific requirements for metadata, APIs, access modalities and monitoring to maximise public benefit while managing risks.
Public‑sector datasets identified as having significant economic or social value; these are prioritised for publication and must be made available under enhanced conditions (for example, via APIs, with full metadata and timely updates) to maximise public benefit and reuse.
Not to be confused with
Protected public data is restricted from open publication, while high-value datasets are prioritized for availability and reuse.
Sovereign data assets are subject to sovereignty controls, unlike high-value datasets which focus on publication and reuse priorities.
Questions and answers
What obligations apply to high-value datasets in Poland?
Polish public sector entities must provide them in open, machine-readable formats via a national portal. They require enhanced conditions like APIs, full metadata, and timely updates.
How does Latvia handle high-value datasets?
The draft National Data Governance Strategy designates them as priority resources described with metadata, APIs, access modalities, and monitoring. It guides ministries and data holders while managing risks.
What makes a dataset high-value under these definitions?
It has significant economic or social value in Poland, or high public or economic value in Latvia. Both prioritize them for publication, interoperability, and reuse.
Related Terms
high-value datasets
Datasets with significant public or economic reuse potential....
protected public data
Public-sector information restricted from open publication....
Sovereign Data Assets
Government-designated datasets subject to sovereignty controls....
Datasets
Curated, annotated collections of data for model training/testing....
Data assets
Publicly-held or aggregated data resources for secondary use....