Open Science Infrastructure as a key component of Open Science DOI Open Access
Jadranka Stojanovski

Septentrio Conference Series, Journal Year: 2022, Volume and Issue: 1

Published: Nov. 22, 2022

The Open Science movement is a response to the accumulated problems in scholarly communication, like "reproducibility crisis", "serials and "peer review crisis". European Commission defines priorities of as Findable, Accessible, Interoperable Reproducible (FAIR) data, infrastructure services Cloud (EOSC), Next generation metrics, altmetrics rewards, future scientific research integrity reproducibility, education skills citizen science. Infrastructure also one four key components defined by UNESCO. Mainly represented among Infrastructures are institutional thematic repositories for publications, software code. Furthermore, range may include discovery, mining, publishing, peer process, archiving preservation, social networking tools, training, high-performance computing, tools processing analysis. Successful should be based on community values responsive needed changes. Preferably distributed, enabling machine-actionable services, supporting reusability quality FAIR interoperability, sustainability, long-term preservation funding.

Language: Английский

The academic impact of Open Science: a scoping review DOI Creative Commons
Thomas Klebel, Vincent Traag, Ioanna Grypari

et al.

Royal Society Open Science, Journal Year: 2025, Volume and Issue: 12(3)

Published: March 1, 2025

Open Science seeks to make research processes and outputs more accessible, transparent inclusive, ensuring that scientific findings can be freely shared, scrutinized built upon by researchers others. To date, there has been no systematic synthesis of the extent which (OS) reaches these aims. We use PRISMA scoping review methodology partially address this gap, evidence on academic (but not societal or economic) impacts OS. identify 485 studies related all aspects OS, including Access (OA), Open/FAIR Data (OFD), Code/Software, Evaluation Citizen (CS). Analysing synthesizing findings, we show majority investigated effects OA, CS OFD. Key areas impact studied are citations, quality, efficiency, equity, reuse, ethics reproducibility, with most reporting positive at least mixed impacts. However, also identified significant unintended negative impacts, especially those regarding diversity inclusion. Overall, main barrier OS is lack skills, resources infrastructure effectively re-use build existing research. Building synthesis, gaps within literature draw implications for future policy.

Language: Английский

Citations

0

Is there still a need for dental textbooks when doubts can be clarified by artificial intelligence and open access science? DOI Creative Commons
João Paulo Mendes Tribst, Amanda Maria de Oliveira Dal Piva, Cornelis J. Kleverlaan

et al.

Frontiers in Dental Medicine, Journal Year: 2023, Volume and Issue: 4

Published: Aug. 14, 2023

OPINION article Front. Dent. Med, 14 August 2023Sec. Reconstructive Dentistry Volume 4 - 2023 | https://doi.org/10.3389/fdmed.2023.1236861

Language: Английский

Citations

1

Open Science Infrastructure as a key component of Open Science DOI Open Access
Jadranka Stojanovski

Septentrio Conference Series, Journal Year: 2022, Volume and Issue: 1

Published: Nov. 22, 2022

The Open Science movement is a response to the accumulated problems in scholarly communication, like "reproducibility crisis", "serials and "peer review crisis". European Commission defines priorities of as Findable, Accessible, Interoperable Reproducible (FAIR) data, infrastructure services Cloud (EOSC), Next generation metrics, altmetrics rewards, future scientific research integrity reproducibility, education skills citizen science. Infrastructure also one four key components defined by UNESCO. Mainly represented among Infrastructures are institutional thematic repositories for publications, software code. Furthermore, range may include discovery, mining, publishing, peer process, archiving preservation, social networking tools, training, high-performance computing, tools processing analysis. Successful should be based on community values responsive needed changes. Preferably distributed, enabling machine-actionable services, supporting reusability quality FAIR interoperability, sustainability, long-term preservation funding.

Language: Английский

Citations

2