Semantic, Technical and Legal Interoperability of European Company Open Data in Practice - the STIRData approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10464220" target="_blank" >RIV/00216208:11320/23:10464220 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14220/23:00131288

Result on the web

<a href="https://doi.org/10.5220/0012132100003541" target="_blank" >https://doi.org/10.5220/0012132100003541</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0012132100003541" target="_blank" >10.5220/0012132100003541</a>

Result language

angličtina

Original language name

Semantic, Technical and Legal Interoperability of European Company Open Data in Practice - the STIRData approach

Original language description

As part of the Open Data Directive, the European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data.The list also contains specific data items that must be included in these datasets.However, it does not prescribe any technical means of how the data should be published, severely hindering the interoperability of the datasets once they are published.One of the HVD topics is company data.In this practice report paper, we present results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on technical, semantic, and legal interoperability of open data from business registries, covering the company data HVDs topic.The results include a data architecture and a data specification to make the published data technically and semantically interoperable, and legal interoperability guidelines to ensure legal interoperability of the published data.Moreover, proof-of-concept transformations of data from selected European business registries are shown using open source tools and according to the specification.Finally, 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 12th International Conference on Data Science, Technology and Applications, DATA 2023

ISBN

978-989-758-664-4

ISSN

2184-285X

e-ISSN

—

Number of pages

12

Pages from-to

183-194

Publisher name

SciTePress

Place of publication

Neuveden

Event location

Řím, Itálie

Event date

Jul 11, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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