This pull request proposes an enhancement to the ckanext-dcat metadata schema by incorporating management of high-value datasets (HVD). As mandated by Directive (EU) 2019/1024 and its subsequent implementation regulation, European Union member states are actively working towards making high-value datasets accessible to citizens and businesses under standardized technical requirements to promote their reuse and positive impact on society, the economy, and the environment.
The addition of HVD management to the metadata schema is crucial for enabling administrations to effectively identify and disseminate these datasets, thereby addressing the challenges posed by the high heterogeneity in formats, structures, and semantics. Specifically, starting February 2025, member states will be required to report to the Commission every two years on the available high-value datasets, including links to license conditions and APIs.
To support this endeavor, the European Data Portal has published the "Report on Data Homogenisation for High-value Datasets," proposing a methodological approach to facilitate the identification and harmonization of HVD. This approach includes:
This pull request aims to align the ckanext-dcat metadata schema with the recommendations outlined in the report, enabling seamless integration of HVD management functionalities into CKAN instances. By incorporating support for HVD, CKAN users will be empowered to efficiently manage and share datasets of high value, fostering greater data interoperability and promoting their reuse across various applications.
Set of ontologies defining basic classes, properties, and constraints used to model physical quantities, measurement units, and their dimensions in various measurement systems.
Statistical classifications maintained by Eurostat, available as Linked Open Data in XKOS, the SKOS extension for modeling statistical classifications. Presented by classification family, categorized by statistical area and subdomains (e.g., NACE for economic activity, which we will describe later).
Global initiative to standardize and harmonize the exchange of statistical data and metadata. It offers technical standards (the SDMX information model), guidelines, a computing architecture, tools, and a series of tutorials to help users.
Mentioned by the regulation itself, it consists of a simplified data model that captures the fundamental characteristics of a legal entity, such as its legal name, activity, or address.
Codes for the classification of economic activities in the European Union. Its NACE 2 revision was published by the European Commission in October 2022
W3C ontology to support the publication of linked data related to organizational information, i.e., it provides a series of ways to represent the relationship between people and organizations, along with the internal information structure of an organization.
Centralized database with information about legal entities participating in global financial markets. It assigns each entity a unique Legal Entity Identifier (LEI) code recognized globally.
Classification system for goods transported by road, rail, inland waterways, and sea. It takes into account the economic activity associated with the origin of the goods.
Report with some standards for homogenisation of high quality datasets datos.gob.es
This enhancement aligns with the ongoing efforts to facilitate the open data ecosystem and promote transparency, innovation, and socioeconomic development.
This pull request proposes an enhancement to the ckanext-dcat metadata schema by incorporating management of high-value datasets (HVD). As mandated by Directive (EU) 2019/1024 and its subsequent implementation regulation, European Union member states are actively working towards making high-value datasets accessible to citizens and businesses under standardized technical requirements to promote their reuse and positive impact on society, the economy, and the environment.
The addition of HVD management to the metadata schema is crucial for enabling administrations to effectively identify and disseminate these datasets, thereby addressing the challenges posed by the high heterogeneity in formats, structures, and semantics. Specifically, starting February 2025, member states will be required to report to the Commission every two years on the available high-value datasets, including links to license conditions and APIs.
To support this endeavor, the European Data Portal has published the "Report on Data Homogenisation for High-value Datasets," proposing a methodological approach to facilitate the identification and harmonization of HVD. This approach includes:
profiles.pyhttps://github.com/mjanez/ckanext-dcat/blob/c4c1dee5ced89624d7c6b32fd6f7b9b5205b4861/ckanext/dcat/profiles.py#L1-L3015This pull request aims to align the ckanext-dcat metadata schema with the recommendations outlined in the report, enabling seamless integration of HVD management functionalities into CKAN instances. By incorporating support for HVD, CKAN users will be empowered to efficiently manage and share datasets of high value, fostering greater data interoperability and promoting their reuse across various applications.
Resource Table:
References:
This enhancement aligns with the ongoing efforts to facilitate the open data ecosystem and promote transparency, innovation, and socioeconomic development.