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Pregled bibliografske jedinice broj: 1181646

Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study


Jean-Quartier, Claire; Rey Mazón, Miguel; Lovrić, Mario; Stryeck, Sarah
Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study // Data, 7 (2022), 2; 20, 14 doi:10.3390/data7020020 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1181646 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study

Autori
Jean-Quartier, Claire ; Rey Mazón, Miguel ; Lovrić, Mario ; Stryeck, Sarah

Izvornik
Data (2306-5729) 7 (2022), 2; 20, 14

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
cooperative data use ; public-private data sharing ; cross-organizational data exchange ; federated resources ; collaborative data environment

Sažetak
Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data silos that still have to be integrated with one another in order to enable knowledge creation. For this to happen, both public and private actors must adopt a flexible approach to achieve the necessary transition to break data silos and create collaborative data sharing between data producers and users. In this paper, we investigate several factors influencing cooperative data usage and explore the challenges posed by the participation in cross-organizational data ecosystems by performing an interview study among stakeholders from private and public organizations in the context of the project IDE@S, which aims at fostering the cooperation in data science in the Austrian federal state of Styria. We highlight technological and organizational requirements of data infrastructure, expertise, and practises towards collaborative data usage.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Ustanove:
Institut za antropologiju

Profili:

Avatar Url Mario Lovrić (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Jean-Quartier, Claire; Rey Mazón, Miguel; Lovrić, Mario; Stryeck, Sarah
Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study // Data, 7 (2022), 2; 20, 14 doi:10.3390/data7020020 (međunarodna recenzija, članak, znanstveni)
Jean-Quartier, C., Rey Mazón, M., Lovrić, M. & Stryeck, S. (2022) Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study. Data, 7 (2), 20, 14 doi:10.3390/data7020020.
@article{article, author = {Jean-Quartier, Claire and Rey Maz\'{o}n, Miguel and Lovri\'{c}, Mario and Stryeck, Sarah}, year = {2022}, pages = {14}, DOI = {10.3390/data7020020}, chapter = {20}, keywords = {cooperative data use, public-private data sharing, cross-organizational data exchange, federated resources, collaborative data environment}, journal = {Data}, doi = {10.3390/data7020020}, volume = {7}, number = {2}, issn = {2306-5729}, title = {Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study}, keyword = {cooperative data use, public-private data sharing, cross-organizational data exchange, federated resources, collaborative data environment}, chapternumber = {20} }
@article{article, author = {Jean-Quartier, Claire and Rey Maz\'{o}n, Miguel and Lovri\'{c}, Mario and Stryeck, Sarah}, year = {2022}, pages = {14}, DOI = {10.3390/data7020020}, chapter = {20}, keywords = {cooperative data use, public-private data sharing, cross-organizational data exchange, federated resources, collaborative data environment}, journal = {Data}, doi = {10.3390/data7020020}, volume = {7}, number = {2}, issn = {2306-5729}, title = {Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study}, keyword = {cooperative data use, public-private data sharing, cross-organizational data exchange, federated resources, collaborative data environment}, chapternumber = {20} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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