The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing.
The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing.
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DOI：
10.1093/nar/gkab417
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发表时间：
2021-07-02
影响因子：
14.9
通讯作者：
Apweiler R
中科院分区：
文献类型：
--
作者：
Harrison PW;Lopez R;Rahman N;Allen SG;Aslam R;Buso N;Cummins C;Fathy Y;Felix E;Glont M;Jayathilaka S;Kadam S;Kumar M;Lauer KB;Malhotra G;Mosaku A;Edbali O;Park YM;Parton A;Pearce M;Estrada Pena JF;Rossetto J;Russell C;Selvakumar S;Sitjà XP;Sokolov A;Thorne R;Ventouratou M;Walter P;Yordanova G;Zadissa A;Cochrane G;Blomberg N;Apweiler R
严重的急性呼吸综合症冠状病毒2（SARS-COV-2）大流行将被记住是21世纪的决定性事件之一。迅速的全球爆发对人类社会产生了重大影响，并且已经造成了数百万死亡。了解和应对病毒的影响需要全球动员和对科学研究的协调。 COVID-19数据门户（https://www.covid19dataportal.org/）于2020年4月20日首次发行，作为欧洲Covid-19数据平台的一部分，以促进快速和开放的数据共享和分析，以加速全球SARS -COV-2和COVID-19。 COVID-19数据门户具有每两周的发行版，以继续根据用户反馈和研究添加新的数据类型，搜索选项，可视化和改进。搜索，标识和下载服务的开放数据集和直观的套件代表了真正的公平（可访问，可互操作和可重复使用的）资源，使研究人员能够轻松识别并快速获得其COVID-19研究所需的关键数据集。
该图形摘要描述了Covid-19的相关信息的流程，从独立数据资源及其合并到单个集成系统中。
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and is already responsible for millions of deaths. Understanding and tackling the impact of the virus has required a worldwide mobilisation and coordination of scientific research. The COVID-19 Data Portal (https://www.covid19dataportal.org/) was first released as part of the European COVID-19 Data Platform, on April 20th 2020 to facilitate rapid and open data sharing and analysis, to accelerate global SARS-CoV-2 and COVID-19 research. The COVID-19 Data Portal has fortnightly feature releases to continue to add new data types, search options, visualisations and improvements based on user feedback and research. The open datasets and intuitive suite of search, identification and download services, represent a truly FAIR (Findable, Accessible, Interoperable and Reusable) resource that enables researchers to easily identify and quickly obtain the key datasets needed for their COVID-19 research. The Graphical Abstract depicts the flow of COVID-19 related information from independent data resources and their consolidation into a single integrated system.
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影响因子：
14.9
作者：
Harrison PW;Ahamed A;Aslam R;Alako BTF;Burgin J;Buso N;Courtot M;Fan J;Gupta D;Haseeb M;Holt S;Ibrahim T;Ivanov E;Jayathilaka S;Balavenkataraman Kadhirvelu V;Kumar M;Lopez R;Kay S;Leinonen R;Liu X;O'Cathail C;Pakseresht A;Park Y;Pesant S;Rahman N;Rajan J;Sokolov A;Vijayaraja S;Waheed Z;Zyoud A;Burdett T;Cochrane G
通讯作者：
Cochrane G
影响因子：
14.9
作者：
Blum M;Chang HY;Chuguransky S;Grego T;Kandasaamy S;Mitchell A;Nuka G;Paysan-Lafosse T;Qureshi M;Raj S;Richardson L;Salazar GA;Williams L;Bork P;Bridge A;Gough J;Haft DH;Letunic I;Marchler-Bauer A;Mi H;Natale DA;Necci M;Orengo CA;Pandurangan AP;Rivoire C;Sigrist CJA;Sillitoe I;Thanki N;Thomas PD;Tosatto SCE;Wu CH;Bateman A;Finn RD
通讯作者：
Finn RD
影响因子：
14.9
作者：
Arita M;Karsch-Mizrachi I;Cochrane G
通讯作者：
Cochrane G
影响因子：
14.9
作者：
Levchenko M;Gou Y;Graef F;Hamelers A;Huang Z;Ide-Smith M;Iyer A;Kilian O;Katuri J;Kim JH;Marinos N;Nambiar R;Parkin M;Pi X;Rogers F;Talo F;Vartak V;Venkatesan A;McEntyre J
通讯作者：
McEntyre J
影响因子：
14.9
作者：
Buniello, Annalisa;MacArthur, Jacqueline A. L.;Parkinson, Helen
通讯作者：
Parkinson, Helen