23 papers · ranked by Valyu relevance
Claudia Bauzer Medeiros
In discussing open science, one forgets that its key concept is collaboration, which may be either accelerated or hampered by digital technologies. Collaboration in personal interactions is hard; how much harder, then, is it to collaborate across temporal, geographical, or cultural barriers? Open science can be seen as…
Robert T. Thibault, Olavo B. Amaral, Felipe Argolo, Anita E. Bandrowski + 2 more
Conversations about open science have reached the mainstream, yet many open science practices such as data sharing remain uncommon. Our efforts towards openness therefore need to increase in scale and aim for a more ambitious target. We need an ecosystem not only where research outputs are openly shared but also in…
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…
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…
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…
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…
Izuchukwu Azuka Okafor, Smart Ikechukwu Mbagwu, Terkuma Chia, Zuwati Hasim + 2 more
The advancement of scientific research and raising the next-generation scientists in Africa depend largely on science access. The COVID-19 pandemic has caused discussions around open science (OS) to reemerge globally, especially in resource-poor settings like Africa, where the practice of OS is low. The authors…
Maíra Terra GARCIA, Fabiana Alves de Souza SILVA, Maria Eduarda da Silva COSTA, Paulo Henrique Fonseca do CARMO + 4 more
Open science aims to promote more transparent, collaborative, and accessible practices in the scientific process. However, barriers such as fear of exposure or reluctance to share data and methods make researchers hesitant to amply engage with this movement. This study analyzes the global open science movement and the…
Maryam Zarghani, Leila Nemati-Anaraki, Shahram Sedghi, Abdolreza Noroozi Chakoli + 1 more
'Abdolreza Noroozi Chakoli' 'Anisa Rowhani-Farid'] Background Sharing research outputs with open science methods for different stakeholders causes better access to different studies to solve problems in diverse fields, which leads to equal access conditions to research resources, as well as greater scientific…
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…
Aishatu Eleojo Adaji
Although the concept of open science is not new, it has rapidly gained traction since the Covid-19 pandemic . Historically, scientific research practices, particularly during the European scientific revolution of the 16th and 17th centuries, were driven mainly by the idea that scientific knowledge is community property…
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…
Ed Bennett, Andreas Athenodorou, Laurie Chisholm, Anna Hasenfratz + 1 more
- Computation-based Science and Technology Research Center, The Cyprus Institute, 20 Kavafi Str., Nicosia 2121, Cyprus - Advanced Research Computing Centre, University College London, Gower Street, London WC1E 6BT - Department of Physics, University of Colorado, Boulder, Colorado 80309, USA - Helmholtz-Institut für…
Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni
While the open-source software development model has led to successful large-scale collaborations in building software systems, data science projects are frequently developed by individuals or small teams. We describe challenges to scaling data science collaborations and present a conceptual framework and ML…
Samantha Suter, Brian Barrett, Natalie Welden
Citizen science (CS), as an enabler of open science (OS) practices, is a low-cost and accessible method for data collection in biodiversity monitoring, which can empower and educate the public both on scientific research priorities and on environmental change. Where OS increases research transparency and scientific…
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…
Gaurav Sharma, Viorel Munteanu, Nika Mansouri Ghiasi, Jineta Banerjee + 17 more
The continuous and reliable open access to curated biological data repositories is indispensable for accelerating rigorous scientific inquiry and fostering reproducible research outcomes.However, the current paradigm, which relies heavily on centralized infrastructure for the storage and distribution of foundational…
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…
Anna Catharina Vieira Armond, Al Mamoune Alaoui, David Moher, Jean Rouleau + 1 more
Open science practices, including data sharing, open access, and prospective study registration, have been increasingly recognized to improve transparency, reproducibility, and accessibility in research, yet their uptake and implementation by cardiovascular research funders is unclear. We conducted a scoping review of…
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 | |…
Haya Deeb, Hwee Yun Wong, Trisha Usman, Megan A. M. Kutzer + 2 more
The evolution of research practices emphasizes the role of Open Data in fostering transparency and collaboration. This study evaluates the adoption of Open Data practices in the School of Biological Sciences at a research-intensive university in the United Kingdom. Our analysis of research data sharing from 2014 to…
Benjamin Mudrak, Sara Bosshart, Wolfram Koch, Allison Leung + 3 more
ChemRxiv was launched on August 15, 2017 to provide researchers in chemistry and related fields a home for the immediate sharing of their latest research. In the past five years, ChemRxiv has grown into the premier preprint server for the chemical sciences, with a global audience and a wide array of scholarly content…
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…