26 papers · ranked by Valyu relevance
Jillian C. Wallis, Elizabeth Rolando, Christine L. Borgman, Luís A. Nunes Amaral
Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a…
Thomas E. Nichols, Samir Das, Simon B. Eickhoff, Alan C. Evans + 11 more
Neuroimaging enables rich noninvasive measurements of human brain activity, but translating such data into neuroscientific insights and clinical applications requires complex analyses and collaboration among a diverse array of researchers. The open science movement is reshaping scientific culture and addressing the…
Tonya White, Elisabet Blok, Vince D. Calhoun
Collaborative networks and data sharing initiatives are broadening the opportunities for the advancement of science. These initiatives offer greater transparency in science, with the opportunity for external research groups to reproduce, replicate, and extend research findings. Further, larger datasets offer the…
Tsaone Tamuhla, Eddie T Lulamba, Themba Mutemaringa, Nicki Tiffin
Evidence-based healthcare relies on health data from diverse sources to inform decision-making across different domains, including disease prevention, aetiology, diagnostics, therapeutics and prognosis. Increasing volumes of highly granular data provide opportunities to leverage the evidence base, with growing…
Lester Darryl Geneviève, Andrea Martani, Bernice Simone Elger, Tenzin Wangmo
Background The meaningful sharing of health data between different stakeholders is central to the advancement of science and to improve care offered to individual patients. However, it is important that the interests of individual stakeholders involved in this data sharing ecosystem are taken into account to ensure…
Susan Bull, Michael Parker, Susan Bull, Phaik Yeong Cheah + 10 more
Sharing individual-level data from clinical and public health research is increasingly being seen as a core requirement for effective and efficient biomedical research. This article discusses the results of a systematic review and multisite qualitative study of key stakeholders’ perspectives on best practices in…
Arthur W Toga, Ivo D Dinov
Background The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a…
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…
Philippa C. Griffin, Jyoti Khadake, Kate S. LeMay, Suzanna E. Lewis + 23 more
Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards…
Visara Urovi, Vikas Jaiman, Arno Angerer, Michel Dumontier
Easy access to data is one of the main avenues to accelerate scientific research. As a key element of scientific innovations, data sharing allows the reproduction of results, helps prevent data fabrication, falsification, and misuse. Although the research benefits from data reuse are widely acknowledged, the data…
Mike A. Thelwall, Marcus Munafò, Amalia Mas Bleda, Emma Stuart + 6 more
Primary data collected during a research study is increasingly shared and may be re-used for new studies. To assess the extent of data sharing in favourable circumstances and whether such checks can be automated, this article investigates the summary statistics of primary human genome-wide association studies (GWAS).…
Herve Emissah, Bengt Ljungquist, Giorgio A. Ascoli
Neural morphology, the branching geometry of neurons and glia in the nervous system, is an essential cellular substrate of brain function and pathology. Despite the accelerating production of digital reconstructions of neural morphology in laboratories worldwide, the public accessibility of data remains a core issue in…
Ronen Gradwohl, Moshe Tennenholtz
We study the effects of data sharing between firms on prices, profits, and consumer welfare. Although indiscriminate sharing of consumer data decreases firm profits due to the subsequent increase in competition, selective sharing can be beneficial. We show that there are datasharing mechanisms that are strictly…
Ajay Kumar Shrestha, Julita Vassileva
— Currently, there is no universal method to track who shared what, with whom, when and for what purposes in a verifiable way to create an individual incentive for data owners. A platform that allows data owners to control, delete, and get rewards from sharing their data would be an important enabler of user…
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…
Balázs G. Madas, Paul N. Schofield
The importance of datasharing is of increasing concern to funding bodies and institutions. With some prescience, the radiobiology community has established data sharing infrastructures over the last two decades, including STORE; however, the utilisation of these databases is disappointing. The aim of the present study…
Evangelos Pournaras, Mark C. Ballandies, Stefano Bennati, Chien Chen
Collective privacy loss becomes a colossal problem, an emergency for personal freedoms and democracy. But, are we prepared to handle personal data as scarce resource and collectively share data under the doctrine: as little as possible, as much as necessary? We hypothesize a significant privacy recovery if a population…
Andine Havelange, Michel Dumontier, Birgit Wouters, Jona Linde + 3 more
'David Townend' 'Arno Riedl' 'Visara Urovi'] In this paper we present our preliminary work on monitoring data License accoUntability and CompliancE (LUCE). LUCE is a blockchain platform solution designed to stimulate data sharing and reuse, by facilitating compliance with licensing terms. The platform enables data…
Bradly Alicea
Participation in Open Data initiatives require two semi-independent actions: the sharing of data produced by a researcher or group, and a consumer of shared data. Consumers of shared data range from people interested in validating the results of a given study to transformers of the data. These transformers can add…
Antti Rousi
Without sufficient information about research data practices occurring in a particular research organisation, there is a risk of mismatching research data service efforts with the needs of its researchers. This study describes how data acquiring and data sharing occurring within a particular research organisation can…
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…
Jason M. Carpenter, Zhi-Li Zhang
The modern data economy is built on sharing data. However, sharing data can be an expensive and risky endeavour. Existing sharing systems like Distributed File Systems provide full read, write, and execute Role-based Access Control (RBAC) for sharing data, but can be expensive and difficult to scale. Likewise such…
Authors not listed
The first step in discovering novel medicines is identifying an initial hit against a biological target or organism, followed by extensive iterative processes to explore the structure-activity relationship and establish a lead compound. As a result, drug discovery laboratories tend to accumulate extensive collections…
David F. Nippa, Alex T. Müller, Kenneth Atz, David B. Konrad + 3 more
Leveraging the increasing volume of chemical reaction data can enhance synthesis planning and improve suc- cess rates. However, machine learning applications for retrosynthesis planning and forward reaction prediction tools depend on having readily available, high-quality data in a structured format. While some public…
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…
Frédéric Burdet, Pierre-Marie Allard, Louis-Felix Nothias, Olivier Kirchhoffer + 16 more
Plants have a complex chemo-diversity and represent a reservoir of potential new therapeutic agents. Within a Swiss research project, six scientific research groups from different disciplines are collaborating to investigate a collection of more than 17’000 unique dried plant extracts. It aims to find new bioactive…