21 papers · ranked by Valyu relevance
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.
Frederik Zuiderveen Borgesius, Jonathan Gray, Mireille van Eechoud
† Frederik Zuiderveen Borgesius is a post-doctoral researcher at the Institute for Information Law, University of Amsterdam Law School, The Netherlands. Jonathan Gray is a Research Associate at the Digital Methods Initiative, University of Amsterdam and Director of Policy and Research at Open Knowledge. Mireille van…
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…
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…
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…
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…
Cherlton Millette, Patrick Hosein
—Open data has been around for many years but with the advancement of technology and its steady adoption by businesses and governments it promises to create new opportunities for the advancement of society as a whole. Many popular open data platforms have focused on solving the problems faced by the data producer and…
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…
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…
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…
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…
Dani Arribas-Bel, Mark Green, Francisco Rowe, Alex Singleton
This paper develops the notion of “open data product”. We define an open data product as the open result of the processes through which a variety of data (open and not) are turned into accessible information through a service, infrastructure, analytics or a combination of all of them, where each step of development is…
Tom Moritz, S Krishnan, Dave Roberts, Peter Ingwersen + 4 more
'Lyubomir Penev' 'Matthew Cockerill' 'Vishwas Chavan'] Background Data are the evidentiary basis for scientific hypotheses, analyses and publication, for policy formation and for decision-making. They are essential to the evaluation and testing of results by peer scientists both present and future. There is broad…
Miklós Bán, Sándor Bérces, Zsolt Végvári
OpenBioMaps is a recently developed, open and free web application with distributed database background, operated by several universities and national parks. This system provides free web map services and open database access by using standard OGC protocols. One of its’ main features is that users can create new and…
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…
Timothée Poisot, Dominique Gravel, Shawn Leroux, Spencer A. Wood + 5 more
The increased availability of both open ecological data, and software to interact with it, allows to rapidly collect and integrate data over large spatial and taxonomic scales. This offers the opportunity to address macroecological questions in a cost-effective way. In this contribution, we illustrate this approach by…
Authors not listed
Sharing knowledge on chemicals in the digital age has been the playground of databases such as the Chemical Abstract Services and PubChem. Wikipedia complements this field by providing context to chemicals aimed at a broad audience, but is not easily read by machines. Wikidata was started as a database service to…
Bastian Greshake Tzovaras, Kevin Arvai, Mairi Dulaney, Vero Estrada-Galiñanes + 7 more
Many aspects of our lives are now digitized and connected to the internet. As a result, individuals are now creating and collecting more personal data than ever before. This offers an unprecedented chance for fields of human subject research ranging from the social sciences to precision medicine. With this potential…
Francis J. Alenghat
To demonstrate a new method for generating virtual, individual-level data by testing it on a known clinical trial population. Virtualization of aggregate data from a clinical trial. Virtual 936,100 virtual patients None Odds ratios for adverse outcomes in virtual patient populations compared to clinical trial…
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…
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…