24 papers · ranked by Valyu relevance
Jonathan P. Tennant, François Waldner, Damien C. Jacques, Paola Masuzzo + 2 more
'Paola Masuzzo' 'Lauren B. Collister' 'Chris. H. J. Hartgerink'] Ongoing debates surrounding Open Access to the scholarly literature are multifaceted and complicated by disparate and often polarised viewpoints from engaged stakeholders. At the current stage, Open Access has become such a global issue that it is…
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.
Heidrun Feuchtmayr, Kelly Le Quesne, A Katharina Makower
We analyzed 192 publications from two EU projects focused on aquatic mesocosm facilities for a) the number of data publications in a repository on its own and the number of data publications associated with a scientific paper, b) the time lag between mesocosm experiments and data or paper publication, and c) adherence…
Ramya Chandrasekhar, Melanie Dulong de Rosnay
Open data are crucial for scientific knowledge production, transparency and accountability, as well as innovation. The European Union has implemented various policies and regulatory frameworks for open government data and open scientific data, as well as for data sharing and re-use of non-government data. However, the…
Manuela Peters, Hajo Zeeb
Background: Preventive and health-promoting policies can guide (place- and space-specific) factors influencing human health, such as the physical and social environment. Required is data that can lead to a more nuanced decision-making process and identify both existing and future challenges. Along with the rise of new…
Nicholas Weber, Brandon Locke
| Introduction | 1 | | --- | --- | | Open Data and Ethics: A Brief Overview | 2 | | Virtue Ethics | 3 | | Consequential (Teleological) Ethics | 3 | | Non-consequential (Deontological) Ethics | 5 | | Synthesis of Different Ethical Perspectives on Open Data | 7 | | Case Studies | 7 | | Case 1: Alice Goffman's 'On the…
Authors not listed
To a researcher, open science may mean the freedom to access a paper without hitting a paywall. To an educator, it may mean the freedom to use figures in their class materials. To a start-up company, it may mean the ability to incorporate research results into their goods and services without negotiating complicated…
Iain Hrynaszkiewicz, Varsha Khodiyar, Andrew L Hufton, Susanna-Assunta Sansone
Sharing of clinical research data usually happens between individuals or research groups rather than via public repositories due to the need to protect research participant privacy. This approach to data sharing makes it difficult to connect journal articles with their underlying datasets and is often insufficient for…
Holger M. Kienle
—Open data is an emerging paradigm to share large and diverse datasets—primarily from governmental agencies, but also from other organizations—with the goal to enable the exploitation of the data for societal, academic, and commercial gains. There are now already many datasets available with diverse characteristics in…
Helena Cousijn, Amye Kenall, Emma Ganley, Melissa Harrison + 5 more
This article presents a practical roadmap for scholarly publishers to implement data citation in accordance with the Joint Declaration of Data Citation Principles (JDDCP) [1], a synopsis and harmonization of the recommendations of major science policy bodies. It was developed by the Publishers Early Adopters Expert…
Nico Riedel, Miriam Kip, Evgeny Bobrov
Open research data are increasingly recognized as a quality indicator and an important resource to increase transparency, robustness and collaboration in science. However, no standardized way of reporting Open Data in publications exists, making it difficult to find shared datasets and assess the prevalence of Open…
Josh Lawrimore, Christoph Li, Dustin Moraczewski, Jean-Baptiste Poline + 1 more
Open data sharing is increasingly mandated by research funders, journals, and institutions, yet large-scale compliance measurement remains challenging. We analyzed 951,949 open access biomedical research articles published between January 2024 and June 2025 using a dual-source pipeline: PDF-based text extraction…
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…
Lars Vilhuber
Transparency and reproducibility are often seen in opposition to privacy and confidentiality. Data that need to be kept confidential are seen as an impediment to reproducibility, and privacy would seem to inhibit transparency. I bring a more nuanced view to the discussion, and show, using examples from over 1,000…
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…
Jyh‐An Lee
Governments around the world create and collect an enormous amount of data that covers important environmental, educational, geographical, meteorological, scientific, demographic, transport, tourism, health insurance, crime, occupational safety, product safety, and many other types of information.1 This data is…
Tim Hulsen
In recent years, more and more health data are being generated. These data come not only from professional health systems, but also from wearable devices. All these ‘big data’ put together can be utilized to optimize treatments for each unique patient (‘precision medicine’). For this to be possible, it is necessary…
Rebecca Grant, Iain Hrynaszkiewicz
This paper describes the adoption of a standard policy for the inclusion of data availability statements in all research articles published at the Nature family of journals, and the subsequent research which assessed the impacts that these policies had on authors, editors, and the availability of datasets. The key…
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…
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…
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…
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…
Henry Rzepa
The history of the development of two tools for managing research resources and the data produced from them is summarised. These tools are a portal or electronic laboratory notebook for computational chemistry interfaced in one direction to a high-performance computing resource and in the other direction to a modern…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…