RAPID: Dashboard for COVID-19 Scientific Development

RAPID：COVID-19 科学发展仪表板

• 批准号: 2028717
• 负责人: Ying Ding
• 金额: $ 19.86万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2028717&HistoricalAwards=false
• 关键词: RAPID; Dashboard; COVID; 19; Scientific

Scientific discovery depends on the accumulation of knowledge. There are thousands of articles on any given topic, but no one person can read them all. This limitation is more important in the COVID-19 era, where dependable knowledge can mean the difference between life and death. This project works to improve methods related to the synthesis of scientific knowledge by developing a visual dashboard to summarize COVID-19 related research efforts. The main goal is to integrate a current COVID-19 literature dataset from the Whitehouse with a knowledge graph from PubMed and a drug discovery knowledge graph developed by Data2Discovery. This would enable the creation of the “Fight COVID-19 Dashboard,” a visualization tool that would centralize and visualize crucial, up to date data and scientific information related to COVID. This dashboard will help scientists and clinicians access and visualize the most recent information about COVID. Such information is also crucial for mining publications to generate research hypotheses and for identifying patterns of collaboration and innovation in scientific communication working to stop the spread of COVID. The PIs will make their data and the codes for constructing the dashboard open to the public to enable future efforts and enhance public trust in science through transparency.This project develops the Fight COVID-19 Dataset and visual dashboard to advance information science and aid in the fight against COVID-19. This is accomplished by integrating a current COVID-19 literature dataset from the White House with a knowledge graph from PubMed and a drug discovery knowledge graph interlinking dozens of publicly available databases in pre-clinical drug discovery. This dashboard will display COVID-19 related information, including: 1) the currently most mentioned biological entities (e.g., drugs, diseases, vaccines, genes) in PubMed and clinical trials; 2) the evolution of related biological entities according to PubMed literature and clinical trials; 3) the network connections of related biological entities; 4) the lists of active scientists, teams, and institutions and their research topics; and 5) collaborations of scientific teams to enable networking and inspire potential collaborations to fight against COVID-19. This research will advance textual analysis methods by moving beyond keyword analysis towards advanced understanding of the objects that the keywords indicate and propelling textual methods towards knowledge graph-based analysis. It also adds a longitudinal element to recent investigations of the evolving pathway of COVID-19 scientific studies related to bio entities and links the science of science to related research domains in new and potentially innovative ways.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

科学发现取决于知识的积累。关于任何给定的主题，有成千上万的文章，但是没有人能阅读所有文章。在Covid-19时代，这种限制更为重要，在Covid-19时代，可靠的知识可能意味着生与死之间的差异。该项目致力于通过开发视觉仪表板来摘要COVID-19相关研究工作，以改善与科学知识合成相关的方法。主要目标是将当前的COVID-19文献​​数据集与PubMed的知识图和Data2discovery开发的药物发现知识图一起整合。这将使创建“战斗Covid-19仪表板”，这是一种可视化工具，可以集中和可视化与Covid相关的关键，最新数据和科学信息。该仪表板将帮助科学家和临床医生访问并想象有关Covid的最新信息。此类信息对于采矿出版物来产生研究假设以及确定科学沟通中的协作和创新模式，以阻止Covid的传播。 PI将制作其数据和构建仪表板向公众开放的代码，以实现未来的努力并通过透明度来增强对科学的公众信任。该项目开发了Covid-19数据集和Visual Dashboard的战斗，以推动信息科学并帮助与Covid-19的战斗。这是通过将白宫的当前COVID-19文献​​数据集与PubMed的知识图和药物发现知识图相互联系的，与数十个公开可用的数据库相互链接来实现。该仪表板将在PubMed和临床试验中展示相关信息，包括：1）目前提到的生物学实体（例如药物，疾病，疫苗，基因）； 2）根据PubMed文献和临床试验，相关生物实体的演变； 3）相关生物实体的网络连接； 4）活跃的科学家，团队和机构及其研究主题的清单； 5）科学团队的合作能够使网络和激发潜在的合作与Covid-19对抗。这项研究将通过将关键字分析从关键字指示和推动基于知识的基于图形分析的对象的高级理解来提高文本分析方法。它还在最近对Covid-19与生物实体有关的科学研究不断发展的途径的研究中增加了纵向元素，并将科学科学与新的和潜在创新方式的相关研究领域联系起来。该奖项反映了NSF的法定任务，并通过使用该基金会的知识优点和广泛的criperia criperia criperia criperia criperia criperia criperia criperia criperia criperia criperia criperia criperia criperia rection the the奖项。

项目成果

Are we there yet? Analyzing scientific research related to COVID-19 drug repurposing

我们到了吗？

• DOI: 10.21203/rs.3.rs-80893/v1
• 发表时间: 2021
• 期刊: 2021.
• 作者: Park, N.;Ryu, H.;Ding, Y.;Yu, Q.;Bu, Y.;Wang, Q.;Yang, J.;& Song, M.
• 通讯作者: & Song, M.

Building the COVID-19 portal by integrating literature, clinical trials, and knowledge graphs

通过整合文献、临床试验和知识图构建 COVID-19 门户

• DOI: 10.1109/jcdl52503.2021.00040
• 发表时间: 2021
• 作者: Wan, A.

COVID-19 Portal: Profiling Researchers, Bio-entities, and Institutions

COVID-19 门户：研究人员、生物实体和机构概况

• 发表时间: 2022
• 作者: Wan, A.