The STIRData Approach to Interoperability of European Company
High-Value Datasets

J 2024

The STIRData Approach to Interoperability of European Company High-Value Datasets

KLÍMEK, Jakub, Alexandros CHORTARAS, Jakub MÍŠEK, Jim J YANG, Steinar SKAGEMO et. al.

Basic information

Original name

The STIRData Approach to Interoperability of European Company High-Value Datasets

Authors

KLÍMEK, Jakub (guarantor), Alexandros CHORTARAS, Jakub MÍŠEK (203 Czech Republic, belonging to the institution), Jim J YANG, Steinar SKAGEMO and Vassilis TZOUVARAS

Edition

SN Computer Science, Springer: Nature Publishing Group, 2024, 2662-995X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Full text

Organization unit

Faculty of Law

DOI

http://dx.doi.org/10.1007/s42979-024-02721-8

Keywords in English

Interoperability;Linked data;Open data;Data spaces;High-value datasets (HVDs);Company data

Abstract

V originále

The European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data as part of the Open Data Directive. One of the HVD topics is company data. Although the HVD description contains items that must be included in these datasets, it does not prescribe any technical means of how the data should be published. This is a major obstacle to the interoperability of the datasets once they are published. In this extended paper, we elaborate on the results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on various aspects of data interoperability of open data from business registries, covering the company data HVDs topic. These aspects include the semantic, technical, and legal interoperability of this data. The results include a data architecture and a data specification to make the published data technically and semantically interoperable. In addition, we present basic legal interoperability guidelines to ensure legal interoperability of the published data, which is a topic often neglected by technically focused data experts. The project results include proof-of-concept transformations of data from selected European business registries using open source tools and in accordance with the data specification. Moreover, a user-orientated platform for browsing and analysing the data is presented as an example of the possibilities of using the data published in an interoperable way. Finally, we present an example of how compliant data can be processed by data experts for further analysis.

Links

2019-EU-IA-0068, interní kód MU

Name: Specifications and Tools for Interoperable and Reusable Data (Acronym: STIR Data)

Investor: European Union

Citovat

KLÍMEK, Jakub, Alexandros CHORTARAS, Jakub MÍŠEK, Jim J YANG, Steinar SKAGEMO and Vassilis TZOUVARAS. The STIRData Approach to Interoperability of European Company High-Value Datasets. SN Computer Science. Springer: Nature Publishing Group, 2024, vol. 5, No 387, p. 1-20. ISSN 2662-995X. Available from: https://dx.doi.org/10.1007/s42979-024-02721-8.

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   author = {Klímek, Jakub and Chortaras, Alexandros and Míšek, Jakub and Yang, Jim J and Skagemo, Steinar and Tzouvaras, Vassilis},
   article_number = {387},
   doi = {http://dx.doi.org/10.1007/s42979-024-02721-8},
   keywords = {Interoperability;Linked data;Open data;Data spaces;High-value datasets (HVDs);Company data},
   language = {eng},
   issn = {2662-995X},
   journal = {SN Computer Science},
   title = {The STIRData Approach to Interoperability of European Company High-Value Datasets},
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   volume = {5},
   year = {2024}
}

TY  - JOUR
ID  - 2390581
AU  - Klímek, Jakub - Chortaras, Alexandros - Míšek, Jakub - Yang, Jim J - Skagemo, Steinar - Tzouvaras, Vassilis
PY  - 2024
TI  - The STIRData Approach to Interoperability of European Company High-Value Datasets
JF  - SN Computer Science
VL  - 5
IS  - 387
SP  - 1-20
EP  - 1-20
PB  - Springer: Nature Publishing Group
SN  - 2662995X
KW  - Interoperability;Linked data;Open data;Data spaces;High-value datasets (HVDs);Company data
UR  - https://link.springer.com/article/10.1007/s42979-024-02721-8?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20240401&utm_content=10.1007/s42979-024-02721-8#citeas
N2  - The European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data as part of the Open Data Directive. One of the HVD topics is company data. Although the HVD description contains items that must be included in these datasets, it does not prescribe any technical means of how the data should be published. This is a major obstacle to the interoperability of the datasets once they are published. In this extended paper, we elaborate on the results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on various aspects of data interoperability of open data from business registries, covering the company data HVDs topic. These aspects include the semantic, technical, and legal interoperability of this data. The results include a data architecture and a data specification to make the published data technically and semantically interoperable. In addition, we present basic legal interoperability guidelines to ensure legal interoperability of the published data, which is a topic often neglected by technically focused data experts. The project results include proof-of-concept transformations of data from selected European business registries using open source tools and in accordance with the data specification. Moreover, a user-orientated platform for browsing and analysing the data is presented as an example of the possibilities of using the data published in an interoperable way. Finally, we present an example of how compliant data can be processed by data experts for further analysis.
ER  -

KLÍMEK, Jakub, Alexandros CHORTARAS, Jakub MÍŠEK, Jim J YANG, Steinar SKAGEMO and Vassilis TZOUVARAS. The STIRData Approach to Interoperability of European Company High-Value Datasets. \textit{SN Computer Science}. Springer: Nature Publishing Group, 2024, vol.~5, No~387, p.~1-20. ISSN~2662-995X. Available from: https://dx.doi.org/10.1007/s42979-024-02721-8.

Detailed Information on Publication Record