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https://app.terra.bio/#workspaces/pathogen-genomic-surveillance/COVID-19

Broad Terra cloud workspace for best practices with COVID-19 genomics data. Raw COVID-19 sequencing data from NCBI Sequence Read Archive. Workflows for genome assembly, quality control, metagenomic classification, and aggregate statistics.

Proper citation: Broad Terra cloud commons for pathogen surveillance (RRID:SCR_018278) Copy   

•   Source: SciCrunch Registry

https://www.go-fair.org/implementation-networks/overview/vodan/

Network as federated AI-ready repository of COVID-19 data adherent to FAIR principles. SARS CoV-2 virus data FAIR, meaning that they are Findable, Accessible, Interoperable and thus Reusable by both humans and machines, during this epidemic of COVID-19.

Proper citation: Virus Outbreak Data Network (RRID:SCR_018285) Copy   

•   Source: SciCrunch Registry

https://www.covid19hg.org/

Platform for global network of researchers to investigate role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Provides results of three genome-wide association meta analyses that consist of patients with COVID-19 from studies across countries.

Proper citation: COVID-19 Host Genetics Initiative (RRID:SCR_022272) Copy   

•   Source: SciCrunch Registry

https://www.addgene.org/collections/covid-19-resources/

Collections of Addgene plasmids, open access articles, protocols, and other resource collections related to COVID-19 that may be of use to scientists. Ordering or depositing plasmids related to COVID-19 research.

Proper citation: COVID-19 and Coronavirus plasmids and resources (RRID:SCR_018347) Copy   

•   Source: SciCrunch Registry

https://covic.lji.org/

Consortium to unite efforts and resources from experts across globe to advance effective, antibody based therapies against novel coronavirus, SARS-CoV-2. Represents multidisciplinary convergence of structural biology, virologists, immunologists, clinicians and bioinformaticians from academic and industry settings. Collects antibodies for testing as part of CoVICS. Contributed antibodies are blinded and will only be known as code name. Antibody contributors will be able to see performance of their own molecules and take part in analysis. Contributors retain ownership of their antibodies and may continue to publish on them using original antibody names. Goal is to determine relative in vitro potency and in vivo efficacy using centralized standardized assays to identify best individual mAbs and rational combinations of mAbs. Consortium will recommend ideal therapeutic molecules for human use to protect vulnerable populations from COVID-19 disease. CoVIC database (CoVIC-DB) will serve as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them.

Proper citation: Coronavirus Immunotherapy Consortium (RRID:SCR_018258) Copy   

•   Source: SciCrunch Registry

https://covic.lji.org/databases/

Serves as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them. Most potent antibodies will guide development of vaccines to stop current outbreak and protect against future pandemics.

Proper citation: CoVIC-DB Database (RRID:SCR_018339) Copy   

•   Source: SciCrunch Registry

https://webs.iiitd.edu.in/raghava/coronavir

Web based platform on COVID-19 to maintain predicted diagnostic, drug and vaccine candidates and computational resources on novel coronavirus SARS-CoV-2 and its resulting disease COVID-19. Provides collected and organized information from literature and other resources from internet, links to appropriate literature . Integrated multi-omics repository dedicated to current genomic, proteomic, diagnostic and therapeutic knowledge about coronaviruses.

Proper citation: CoronaVIR (RRID:SCR_018338) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/covid-19

EMBL-EBI portal to enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets submitted to EMBL-EBI and other major centers for biomedical data. Used to facilitate data sharing and analysis to accelerate coronavirus research. The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research. EMBL-EBI and partners have set up the COVID-19 Data Portal, which will bring together relevant datasets submitted to EMBL-EBI and other major centres for biomedical data. The aim is to facilitate data sharing and analysis, and to accelerate coronavirus research. The COVID-19 Data Portal will enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets. The COVID-19 Data Portal will be the primary entry point into the functions of a wider project, the European COVID-19 Data Platform.

Proper citation: EMBL-EBI COVID-19 Portal (RRID:SCR_018337) Copy   

•   Source: SciCrunch Registry

https://icite.od.nih.gov/covid19/search/

NIH comprehensive, curated source for publications related to COVID-19. Includes articles from PubMed and pre-prints from arXiv, medRxiv, bioRxiv, and ChemRxiv. Updated daily. NIH Office of Portfolio Analysis has developed this resource to explore and analyze set of advances in COVID‑19 research as they accumulate in real time, and complements efforts by NLM to aggregate full text documents broadly related to COVID-19 and other outbreaks, and articles on COVID‑19 specific to PubMed database.

Proper citation: NIH COVID-19 Portfolio (RRID:SCR_018295) Copy   

•   Source: SciCrunch Registry

https://professional.diabetes.org/content-page/covid-19

Web page created by American Diabetes Association. Contains resources and information about COVID-19 for diabetes professionals and patients. ADA also provides online forum, webinar series and podcast. Online forum to exchange questions, answers, and best practices with leading clinicians from diabetes community. All ADA members can contribute, and any interested health professional can read forum and responses.

Proper citation: American Diabetes Association COVID-19 Resources and Webinar Series (RRID:SCR_018346) Copy   

•   Source: SciCrunch Registry

https://nextstrain.org/

Open source project to harness scientific and public health potential of pathogen genome data. Provides continually updated view of publicly available data alongside powerful analytic and visualization tools for use by community. Used to aid epidemiological understanding and improve outbreak response. Open source SARS-CoV-2 genome data and analytic and visualization tools.

Proper citation: Nextstrain (RRID:SCR_018223) Copy   

•   Source: SciCrunch Registry

https://coronavirus.frontiersin.org/covid-19-research-funding-monitor

Curated list of open funding calls and other support for researchers, non profit organizations and commercial organizations, specifically for COVID-19 and coronavirus related research. Non profit and commercial funding opportunities relevant to COVID-19. Updated daily.

Proper citation: Frontier coronavirus funding monitor (RRID:SCR_018344) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/ena/pathogens/covid-19

Data collection related to COVID-19 held at EMBL-EBI , including sequences of outbreak isolates and records related to coronavirus biology, protein expression, protein sequence, protein structure, proteome and translatome data and literature.

Proper citation: EMBL-EBI Pathogens - COVID-19 (RRID:SCR_018343) Copy   

•   Source: SciCrunch Registry

https://bigd.big.ac.cn/ncov/?lang=en

Bioinformation related to COVID-19. Site developed and maintained by China National Center for Bioinformation. Collection of sequences, genome variations, publication, clinical resource data.

Proper citation: 2019 Novel Coronavirus Resource (2019nCoVR) by China National Center for Bioinformation (RRID:SCR_018342) Copy   

•   Source: SciCrunch Registry

https://pages.semanticscholar.org/coronavirus-research

Dataset of scholarly articles, including full text, on COVID-19, SARS-CoV-2, and related coronaviruses. Machine readable resource provided to enable application of natural language processing and other AI techniques. Open resource for global research community. Updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.

Proper citation: COVID-19 Open Research Dataset (RRID:SCR_018275) Copy   

•   Source: SciCrunch Registry

https://datascience.nih.gov/covid-19-open-access-resources

COVID-19 open access data and computational resources provided by federal agencies, including NIH, public consortia, and private entities. Continuously updated as more information becomes available. These resources are being shared for scientific and public health interests, and content is responsibility of resource organizers.

Proper citation: Data and Computational Resources to Address COVID-19 (RRID:SCR_018274) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/research/coronavirus/

NLM curated literature hub for COVID-19. Curated literature hub for tracking up-to-date scientific information about 2019 novel Coronavirus. Provides central access to relevant articles in PubMed. Articles are updated daily and are further categorized by different research topics and geographic locations for improved access.

Proper citation: LitCovid (RRID:SCR_018280) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/genbank/sars-cov-2-seqs/

Collection of SARS-CoV-2 sequences currently available in GenBank genetic sequence database and Sequence Read Archive. Updated as additional sequences are released.

Proper citation: SARS-CoV-2-Sequences (RRID:SCR_018319) Copy   

•   Source: SciCrunch Registry

https://www.ucop.edu/uc-health/functions/center-for-data-driven-insights-and-innovations-cdi2.html

Data warehouse using Observational Medical Outcomes Partnership standard to integrate patient data across University of California health systems. Data asset created by electronic health records from six health systems as well as claims data from UC self-funded health plans and external sources of data such as Vizient and California Office of Statewide Health Planning and Development. Shared data and analytic environment designed to improve research and patient treatments.

Proper citation: UC Health clinical data warehouse (RRID:SCR_018284) Copy   

•   Source: SciCrunch Registry

https://www.rd-alliance.org/groups/rda-covid19

Guidelines for data deposition in any common data hub or platform to facilitate data sharing in public health emergencies for scientific research.

Proper citation: Research Data Alliance Working Group (RRID:SCR_018283) Copy   

•   Source: SciCrunch Registry