20 papers · ranked by Valyu relevance
Jenni Adams, Miranda Barnes, Samuel Moore, Stephen Pinfield
Background Discourses of ‘Open Science’ have been criticised for privileging the quantitative and positivist methodologies of science, technology, engineering and mathematics (STEM) research at the expense of qualitative, interpretive, critical-theoretical, practice-based, and other forms of research more common in 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…
Sean Grant, Kathleen E. Wendt, Bonnie J. Leadbeater, Lauren H. Supplee + 3 more
'Lauren H. Supplee' 'Evan Mayo-Wilson' 'Frances Gardner' 'Catherine P. Bradshaw'] The field of prevention science aims to understand societal problems, identify effective interventions, and translate scientific evidence into policy and practice. There is growing interest among prevention scientists in the potential for…
Kelly D. Cobey, Stefanie Haustein, Jamie Brehaut, Ulrich Dirnagl + 27 more
'Delwen L. Franzen' 'Lars G. Hemkens' 'Justin Presseau' 'Nico Riedel' 'Daniel Strech' 'Juan Pablo Alperin' 'Rodrigo Costas' 'Emily S. Sena' 'Thed van Leeuwen' 'Clare L. Ardern' 'Isabel O. L. Bacellar' 'Nancy Camack' 'Marcos Britto Correa' 'Roberto Buccione' 'Maximiliano Sergio Cenci' 'Dean A. Fergusson' 'Cassandra…
Noémie Aubert Bonn, Andrew J. Stewart, Lukas Hughes-Noehrer
Open research practices are increasingly promoted to improve research transparency, reproducibility, accessibility, and societal impact. Despite growing support from research funders, institutions, and policy initiatives, adoption remains uneven across disciplines and research communities. This study examined perceived…
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…
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…
Terri L. Griffith, Ann Majchrzak, Luca Giustiniano
Open organizations are structures in which members of the public engage in work for the organization. Examples include open-source software, Amnesty International, Wikipedia, and Lego communities. Much research focuses on structural design characteristics of open organizations, such as pre-specified task divisions and…
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 | |…
Kelly D Cobey, Mohsen Alayche, Sara Saba, Nana Yaa Barnes + 4 more
Open science is a movement and set of practices to conduct research more transparently. Implementing open science will significantly improve public access and supports equity. It also has the potential to foster innovation and reduce duplication through data and materials sharing. Here, we survey an international group…
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…
Dominique G. Roche, Rose E. O'Dea, Kecia A. Kerr, Trina Rytwinski + 5 more
The knowledge-action gap in conservation science and practice occurs when research outputs do not result in actions to protect or restore biodiversity. Among the diverse and complex reasons for this gap, three barriers are fundamental: knowledge is often unavailable to practitioners and challenging to interpret or…
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…
Tamara Paris, AJung Moon, Jin Guo
The concept of openness in AI has so far been heavily inspired by the definition and community practice of open source software. This positions openness in AI as having positive connotations; it introduces assumptions of certain advantages, such as collaborative innovation and transparency. However, the practices and…
Johan Linåker, Per Runeson, Anneke Zuiderwijk, Amanda Brock
—High-quality data has become increasingly important to software engineers in designing and implementing today's software, for example, as an input to machine-learning algorithms and visualisation- and analytics-based features. Open data – i.e., data shared under a licence that gives users the right to study, process…
Joel Alves Lima-Júnior, Kiev Gama, Jorge S. Correia-Neto
systematic review of published studies Authors: ['Joel Alves Lima-Júnior' 'Kiev Gama' 'Jorge S. Correia-Neto'] | Joel Alves de Lima Júnior | Kiev da Gama Santos | Jorge da Silva Correia Neto | | --- | --- | --- | | jalj@cin.ufpe.br | kiev@cin.ufpe.br | jorgecorreianeto@gmail.com | | Center of Informatics, | Center of…
Genevieve Smith, Hiral Patel, Steven Luo, Monica G. Bobra + 19 more
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be developed and governed to balance innovation, accountability, and public interest. However, there has been limited empirical work examining how…
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…
Yue Yang, Wang Yi, David Redmiles
Encompassing a diverse population of developers, non-technical users, organizations, and many other stakeholders, open source software (OSS) development has expanded to broader social movements from the initial product development aims. Ideology, as a coherent system of ideas, offers value commitments and normative…
Authors not listed
Computational blind challenges offer critical, unbiased assessment opportunities to assess and accelerate scientific progress, as demonstrated by a breadth of breakthroughs over the last decade. We report the outcomes and key insights from an open science community blind challenge focused on computational methods in…