Pregled bibliografske jedinice broj: 1256140
Open Science Infrastructure as a key component of Open Science
Open Science Infrastructure as a key component of Open Science // Serpentrio Conference Series: The 17th Munin Conference on Scholarly Publishing / Ekanger, Aysa (ur.).
Tromsø: UiT The Arctic University of Norway, 2022. str. 1-8 doi:10.7557/5.6777 (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1256140 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Open Science Infrastructure as a key component of
Open Science
Autori
Stojanovski, Jadranka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Serpentrio Conference Series: The 17th Munin Conference on Scholarly Publishing
/ Ekanger, Aysa - Tromsø : UiT The Arctic University of Norway, 2022, 1-8
Skup
The 17th Munin Conference on Scholarly Publishing
Mjesto i datum
Tromso, Norway, 30.11.2022. - 01.12.2022
Vrsta sudjelovanja
Plenarno
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
open science infrastructure, scholarly communication, open science, EOSC
Sažetak
The Open Science movement is a response to the accumulated problems in scholarly communication, like the "reproducibility crisis", "serials crisis", and "peer review crisis". The European Commission defines priorities of Open Science as Findable, Accessible, Interoperable and Reproducible (FAIR) data, infrastructure and services in the European Open Science Cloud (EOSC), Next generation metrics, altmetrics and rewards, the future of scientific communication, research integrity and reproducibility, education and skills and citizen science. Open Science Infrastructure is also one of four key components of Open Science defined by UNESCO. Mainly represented among Open Science Infrastructures are institutional and thematic repositories for publications, research data, software and code. Furthermore, the Open Science Infrastructure services range may include discovery, mining, publishing, the peer review process, archiving and preservation, social networking tools, training, high-performance computing, and tools for processing and analysis. Successful Open Science Infrastructure should be based on community values and responsive to needed changes. Preferably the Open Science Infrastructure should be distributed, enabling machine-actionable tools and services, supporting reusability and reproducibility, quality FAIR data, interoperability, sustainability, long-term preservation and funding.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Institut "Ruđer Bošković", Zagreb,
Sveučilište u Zadru
Profili:
Jadranka Stojanovski
(autor)