Topic
Data sharing
About: Data sharing is a research topic. Over the lifetime, 11796 publications have been published within this topic receiving 151802 citations.
Papers published on a yearly basis
Papers
University of California, San Diego1, University of Montana2, Stanford University3, Scripps Institution of Oceanography4, National Autonomous University of Mexico5, Salk Institute for Biological Studies6, San Diego State University7, Strathclyde Institute of Pharmacy and Biomedical Sciences8, Lawrence Berkeley National Laboratory9, Harvard University10, University of Rennes11, University of Minnesota12, University of Lorraine13, Technical University of Denmark14, J. Craig Venter Institute15, University of California, Los Angeles16, University of Washington17, ETH Zurich18, University of Illinois at Chicago19, National Sun Yat-sen University20, Academia Sinica21, University of Münster22, Victoria University of Wellington23, University of North Carolina at Chapel Hill24, Indiana University25, Smithsonian Tropical Research Institute26, University of São Paulo27, Federal University of Mato Grosso do Sul28, University of Notre Dame29, University of California, Santa Cruz30, Oregon State University31, University of California, Berkeley32, Florida International University33, University of Hawaii at Manoa34, University of Geneva35, Institut de Chimie des Substances Naturelles36, Pacific Northwest National Laboratory37, National Institutes of Health38, Chinese Academy of Sciences39
TL;DR: In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations.
Abstract: The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.
3,404 citations
TL;DR: This poster presents a poster presenting a poster presented at the 2016 International Conference of the Association for the Study of Viral Influenza and its Disruption in China, where it was presented for the first time.
Abstract: Yuelong Shu1, John McCauley2 1. WHO Collaborating Center for Reference and Research on Influenza, Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China 2. WHO Collaborating Centre for Reference and Research on Influenza, Crick Worldwide Influenza Centre, the Francis Crick Institute, London, United Kingdom
3,206 citations
1 Aug 2016
TL;DR: This paper proposes MedRec: a novel, decentralized record management system to handle EMRs, using blockchain technology, and incentivizes medical stakeholders to participate in the network as blockchain “miners”, enabling the emergence of data economics.
Abstract: Years of heavy regulation and bureaucratic inefficiency have slowed innovation for electronic medical records (EMRs). We now face a critical need for such innovation, as personalization and data science prompt patients to engage in the details of their healthcare and restore agency over their medical data. In this paper, we propose MedRec: a novel, decentralized record management system to handle EMRs, using blockchain technology. Our system gives patients a comprehensive, immutable log and easy access to their medical information across providers and treatment sites. Leveraging unique blockchain properties, MedRec manages authentication, confidentiality, accountability and data sharing -- crucial considerations when handling sensitive information. A modular design integrates with providers' existing, local data storage solutions, facilitating interoperability and making our system convenient and adaptable. We incentivize medical stakeholders (researchers, public health authorities, etc.) to participate in the network as blockchain "miners". This provides them with access to aggregate, anonymized data as mining rewards, in return for sustaining and securing the network via Proof of Work. MedRec thus enables the emergence of data economics, supplying big data to empower researchers while engaging patients and providers in the choice to release metadata. The purpose of this short paper is to expose, prior to field tests, a working prototype through which we analyze and discuss our approach.
2,374 citations
TL;DR: In this paper, the authors present a review of the state-of-the-art of Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed.
2,322 citations
TL;DR: In this paper, the authors focus on the nature of the services that respond to protocol messages and propose a set of services that can be aggregated in various ways to meet the needs of virtual organizations, which themselves can be defined by the services they operate and share.
Abstract: Increasingly, computing addresses collaboration, data sharing, and interaction modes that involve distributed resources, resulting in an increased focus on the interconnection of systems both within and across enterprises. These evolutionary pressures have led to the development of Grid technologies. The authors' work focuses on the nature of the services that respond to protocol messages. Grid provides an extensible set of services that can be aggregated in various ways to meet the needs of virtual organizations, which themselves can be defined in part by the services they operate and share.
2,170 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 4 |
| 2025 | 692 |
| 2024 | 814 |
| 2023 | 1,269 |
| 2022 | 1,706 |
| 2021 | 1,177 |