25 papers · ranked by Valyu relevance
Jean-Claude Burgelman, Corina Pascu, Katarzyna Szkuta, Rene Von Schomberg + 3 more
'Rene Von Schomberg' 'Athanasios Karalopoulos' 'Konstantinos Repanas' 'Michel Schouppe'] Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all…
Jennifer C. Molloy
Open data leads to better science, but overcoming the barriers to widespread publication and availability of open scientific data requires a community effort. The Open Knowledge Foundation Open Data in Science Working Group describes their role in this movement.
Mick Watson
Open science describes the practice of carrying out scientific research in a completely transparent manner, and making the results of that research available to everyone. Isn’t that just ‘science’?
Authors not listed
Raman spectroscopy is an increasingly powerful and fast-growing analytical technique across diverse disciplines, from materials science and chemistry to biology and medicine, thanks to advances in Raman instrumentation and greatly supported by the flourishing of chemometrics and artificial intelligence (AI). However…
Andreas Athenodorou, Ed Bennett, Julian Lenz, Elli Papadopoullou
Open science aims to make scientific research processes, tools and results accessible to all scientific communities, creating trust in science and enabling digital competences to be realized in research, leading to increased innovation. It provides standard and transparent pathways to conducting research and fosters…
K Baždarić, I Vrkić, E Arh, M Mavrinac + 4 more
Attitudes towards open peer review, open data and use of preprints influence scientists’ engagement with those practices. Yet there is a relatively small number of validated questionnaires that measure these attitudes. The goal of our study was to construct and validate such a questionnaire. Using a sample of Croatian…
Ann Grand, Clare Wilkinson, Karen Bultitude, Alan F. T. Winfield
Open science is a practice in which the scientific process is shared completely and in real time. It offers the potential to support information flow, collaboration and dialogue among professional and non-professional participants. Using semi-structured interviews and case studies, this research investigated the…
Kuansan Wang
Bolstered by ever affordable computational power and open big datasets, artificial intelligence (AI) technologies are bringing revolutionary changes to our lives. This article examines the current trends and elaborates the future potentials of AI in its role for making science more open and accessible. Based on the…
Christian B. Strømme, A. Kelly Lane, Aud H. Halbritter, Elizabeth Law + 7 more
Open Science (OS) comprises a variety of practices and principles that are broadly intended to improve the quality and transparency of research, and the concept is gaining traction. Since OS has multiple facets and still lacks a unifying definition, it may be interpreted quite differently among practitioners. Moreover…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Dana E. Cobb-Lewis, Devin Synder, Sonya Dumanis, Robert Thibault + 6 more
The open science movement aims to transform the research landscape by promoting research transparency in order to enable reproducibility and replicability, lower the barriers for collaboration, and reduce unnecessary duplication. Recently, in recognition of the value of open science, funding agencies have begun to…
Kristen Ratan, Souad McIntosh, Hetal V. Shah, Matt Lewis + 4 more
This is a critical moment in the open science landscape. Over the past few years there has been growing momentum to improve open research policies and require grantees to share all research outputs, from datasets to code to protocols, in FAIR (findable, accessible, interoperable and reusable [FAIR]) repositories with…
Jürgen Schneider
Open science is an increasingly important topic for research, politics and funding agencies. However, the discourse on open science is heavily influenced by certain research fields and paradigms, leading to the risk of generalizing what counts as openness to other research fields, regardless of its applicability. In…
Teresa Gomez-Diaz, Tomás Recio
| Version | Title | Date | Publication/Dissemination | | --- | --- | --- | --- | | V3 | Towards an Open Science | | arXiv, HAL, POLIS, Zenodo. | | | definition as a political and legal framework: on the sharing and | 28/02/2021 | Includes reference: | | | dissemination of research outputs | | Alma Swan, UNESCO, 2012 |…
Manuela Fernández Pinto
Financial conflicts of interest, several cases of scientific fraud, and research limitations from strong intellectual property laws have all led to questioning the epistemic and social justice appropriateness of industry-funded research. At first sight, the ideal of Open Science, which promotes transparency, sharing…
Giovanni Colavizza, Lauren Cadwallader, Marcel LaFlamme, Grégory Dozot + 3 more
on citations Authors: ['Giovanni Colavizza' 'Lauren Cadwallader' 'Marcel LaFlamme' 'Grégory Dozot' 'Stéphane Lecorney' 'Daniel Rappo' 'Iain Hrynaszkiewicz'] | Giovanni Colavizza† | Lauren Cadwallader | Marcel LaFlamme | Grégory Dozot | | --- | --- | --- | --- | | University of Bologna | PLOS | PLOS | HEIG-VD | |…
Latanya Sweeney, Mercè Crosas
Imagine an online work environment where researchers have direct and immediate access to myriad data sources and tools and data management resources, useful throughout the research lifecycle. This is our vision for the next generation of the Dataverse Network: an Open Science Platform (OSP). For the first time…
Authors not listed
Scientific discovery relies on innovative software as much as experimental methods, especially in proteomics, where computational tools are essential for mass spectrometer setup, data analysis, and interpretation. Since the introduction of SEQUEST, proteomics software has grown into a complex ecosystem of algorithms…
Lorena A. Barba
Reproducibility is inseparable from transparency, as sharing data, code and computational environment is a pre-requisite for being able to retrace the steps of producing the research results. Others have made the case that this artifact sharing should adopt appropriate licensing schemes that permit reuse, modification…
Nicola Bernabò, Luca Valbonetti, Alessandra Ordinelli, Rosa Ciccarelli + 1 more
The widespread use of internet has had enormous consequences in changing the way of accessing to scientific literature in all domains of knowledge and, in particular, in medicine. One of the most important related factors is the idea of making research output freely available: the so-called Open Access (OA) option. OA…
Henning Otto Brinkhaus, Kohulan Rajan, Jonas Schaub, Achim Zielesny + 1 more
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformation of synthetic chemistry, extraction of chemical information from the…
Alfonso Pierantonio, Mark van den Brand, Benoît Combemale
This editorial presents the various forms of open access, discusses their pros and cons from the perspective of the Journal of Object Technology and its editors in chiefs, and illustrates how JOT implements a platinum open access model. The regular reader will also notice that this editorial features a new template for…
Matthew H Todd
Scientific data are being generated and shared at ever-increasing rates. Two new mechanisms for doing this have developed: open access publishing and open source research. We discuss both, with recent examples, highlighting the differences between the two, and the strengths of both.
Chun-Kai Huang, Cameron Neylon, Richard Hosking, Lucy Montgomery + 3 more
Open Access to research outputs is becoming rapidly more important to the global research community and society. Changes are driven by funder mandates, institutional policy, grass-roots advocacy and culture change. It has been challenging to provide a robust, transparent and updateable analysis of progress towards open…
Authors not listed
The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the ‘FAIR Guiding Principles for scientific data management and stewardship’ provide a measurable set of guidelines that can be used to ensure the accessibility of reusable data. We…