Definition: ‘high-value datasets’ are datasets holding the potential to (i) generate significant socio-economic or environmental benefits and innovative services, (ii) benefit a high number of users, in particular SMEs, (iii) assist in generating revenues, and (iv) be combined with other datasets.
Source: European Comission- Directive 2019/1024
Source reference: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019L1024
Example: The following implementation is an example of how this specific Architecture Building Block (ABB) can be instantiated as a Solution Building Block (SBB): EU-ERS: Master Data Register. https://circabc.europa.eu/ui/group/3cc8c417-0f2a-4eb4-8ff7-10d60638446a/information
eira:iopDimension: Structural IoP
LOST view: Semantic view - Motivation
eira:iopSaliency: The Master Data ABB is a key interoperable enabler for semantic interoperability because it is a core element for digital public services enabling the reuse of relevant data such as identifiers for parties, or locations.
Identifier: http://data.europa.eu/dr8/MasterDataObject
ABB name: eira:MasterDataObject
EIRA concept: eira:ArchitectureBuildingBlock
Last modification: 2022-01-26
dct:identifier: http://data.europa.eu/dr8/MasterDataObject
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| eira:PURI | http://data.europa.eu/dr8/egovera/HighValueDatasetDataObject |
| dct:modified | 2023-11-20 |
| dct:identifier | http://data.europa.eu/dr8/egovera/HighValueDatasetDataObject |
| dct:type | egovera:HighValueDatasetDataObject |
| dct:title | High Value Dataset |
| eira:definitionSource | Open Data Handbook |
| eira:definitionSourceReference | http://opendatahandbook.org/glossary/en/terms/high-value-dataset/ |
| skos:definition | A High Value Dataset refers to a collection of data that is deemed to be of significant value to a wide range of users, including the public, researchers, and policy makers, due to its potential to contribute to economic growth, transparency, and societal advancements. |
| skos:example | Examples of High Value Datasets include national health statistics, which can inform public health policy and research; real-time public transportation data, which can improve urban mobility and planning; and government expenditure data, which promotes transparency and accountability in public finance. Another example is geospatial data, which is crucial for a wide range of applications such as environmental monitoring, urban planning, and disaster response. |
| skos:note | The concept of a High Value Dataset typically encompasses datasets that are frequently requested by users or have the potential to be leveraged for high-impact applications. These datasets are often characterized by their quality, completeness, timeliness, and ease of access. Governments and organizations prioritize the release of such datasets to foster innovation, improve government transparency, and enable data-driven decision-making. Criteria for determining a dataset's 'high value' can include its relevance to public interest, contribution to the improvement of government services, support for economic growth, and enhancement of public knowledge. |
| eira:concept | eira:ArchitectureBuildingBlock |
| eira:eifLayer | Semantic |