Arrow Left COVID-19 related data initiatives

Resources, open access, publishing

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    Open Access NL - Tips and Tricks for COVID-19 related research

    Open Access NL provides an overview of tips and tricks related to easing open access for COVID-19 related research.

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    Walaeus Library/Leiden University

    To remove barriers for research and give better insight into what works and does not work in patient care, many publishers and content providers have gone out of their way to provide additional resources on the coronavirus (COVID-19).

    More information here.

    In addition: libraries, publishers and course platforms are there to give access to the resources you need.

    More information here.

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    Elsevier Novel Coronavirus Information Center

    Here you will find expert, curated information for the research and health community on SARS-CoV-2 (the novel coronavirus) and COVID-19 (the disease). All resources are free to access and include guidelines for clinicians and patients.

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    COVID-19 Open Research Dataset (CORD-19)

    In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.

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    Lifelines coronavirus study

    he Lifelines biobank has started a study on the risk factors and spread of the Corona virus. Participants of the Lifelines and Lifelines NEXT coronavirus study receive weekly questionnaires. The questions pertain to COVID-19 related symptoms, comorbidity and also psychosocial wellbeing.

    Lifelines invites other biobanks to use the Lifelines questionnaire as this might help to harmonise efforts and ease meta-analyses in the near future. Many other biobanks have already shown interest in the questionnaire. If you would like to use the Lifelines questionnaire, please contact the programme manager of the Lifelines Corona Research project: Jackie Dekens (j.a.m.dekens@umcg.nl)

    The Lifelines coronavirus study is a joint initiative of the University Medical Center Groningen, the University of Groningen, the Aletta Jacobs School of Public Health and the Lifelines biobank.

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    Citizen Science Resources COVID-19

    This is a selection of resources related to the current COVID19 pandemic. It contains links to citizen science and crowdsourcing projects that might be of interest to:

    • citizens wanting to help tackle the virus
    • researchers looking for support during interruptions to their fieldwork
    • parents looking for ideas to support children who are homeschooling
    • anyone looking for useful ways to fill their time while self-isolating.

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    COVID-19 - Fertility and Pregnancy

    Gathering important resources, guidance and advice statements from international organizations and societies related to COVID-19, fertility and pregnancy.

    Also creating a collection of published data on perinatel outcomes in women with confirmed COVID-19

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    ERF-AISBL overview of research infrastructure and COVID-19 research

    The Association of European-Level Research Infrastructure Facilities (ERF-AISL) are collecting relevant information about COVID-19 initiatives on a dedicated website.This work is carried out by CERIC in the frame of ACCELERATE, funded by the European Union Framework Programme for Research and Innovation Horizon 2020, under grant agreement 731112.

    For more information, please contact: useroffice@ceric-eric.eu

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    Element AI for COVID-19

    Element AI offers a free platform to assist clinical researchers, scientific researchers, public health authorities and frontline workers that are working towards finding a cure to mitigate this pandemic. Element AI have developed a platform that connects structured and unstructured datasets that enables users to query using natural language.

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    Mendeley Data Services

    For your organization that has access to the Mendeley Data platform it is possible to pull out any data sets that have been discussed regarding  Covid-19.  For Covid-19 keyword, we can discover more than 170000 results of data sets worldwide.

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    Elsevier: identify COVID-19 research collaborations & publications

    Identify potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice. 

    From our Pure portal platform, we have gathered all researchers who have been publishing research on the topic of COVID-19. You will find more than 3600 researchers from 1835 institutes who are currently working on COVID-19 and have already published over 6500 articles.

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    Elsevier: Novel Coronavirus Information Center

    Elsevier has built up a Novel Coronavirus Information Centre where you can find the latest peer-reviewed research on COVID-19 from journals including Lancet and Cell Press. It also includes nearly 20,000 related articles free to access on Science Direct.

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    EOSC-Life: available resources from Life Sciences Research Infrastructures

    To support the global effort to tackle the coronavirus pandemic, Life Sciences Research Infrastructures (LS RIs) are prioritising COVID-19 research, as detailed in the actions below. The benefits of using established Research Infrastructures are clear: they are ready and able to provide expert advice and resources to meet a variety of research needs. Although in-person visits to facilities may be restricted, many infrastructure services are still available via remote access and, where possible, the cost of access will be minimised or waived.

    Please follow the links provided by each LS RI for more information and to request access to their services.

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    Dutch Clinical Research Foundation (DCRF) inventariseert knelpunten voor klinisch onderzoek met enquête (available in Dutch only)

    De huidige crisis ten gevolge van de uitbraak van het virus COVID-19, zorgt immers voor nieuwe en onvoorziene knelpunten bij het klinisch onderzoek in Nederland.

    De Dutch Clinical Research Foundation (DCRF) wil zich echter ook nu inzetten voor het inventariseren van knelpunten bij het opzetten, uitvoeren en publiceren van klinisch onderzoek. 

    Om de voortgang en de kwaliteit van klinisch onderzoek in de toekomst veilig te stellen, heeft de DCRF een COVID-19 kernteam opgericht. Het kernteam heeft in overleg met vertegenwoordigers van de aangesloten koepels een enquête voorbereid, met het doel inzicht te krijgen in deze knelpunten. Met de resultaten wil het team vervolgens kijken welke activiteiten nodig en mogelijk zijn om de knelpunten op te lossen en de aanpak daarvan te harmoniseren.

    Heeft u de enquête nog niet ontvangen, maar wilt u hem wel graag invullen, vraag hem via e-mail aan bij secretariaat@dcrfonline.nl.

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    Systematic reviews: COVID-19 initiatives

    Four Dutch institutes - RIVM, Cochrane Netherlands, UMC Utrecht and Maastricht University - have joined forces to coordinate new systematic reviews on COVID-19 initiatives within the Netherlands and coordinate them as much as possible to avoid duplication. To date, 50 epidemiologists have signed up to participate in the collection, assessment and, where necessary, summarize the available data and evidence regarding COVID-19. The systematic reviews will cover the following domains: 1) (curative) interventions; 2) preventive interventions/measures; 3) diagnostic and prognostic prediction models; 4) risk factors and 5) diagnostic tests.

    For more information please contact prof. Maurice Zeegers, Maastricht University.

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    The COVID-19 pandemic in The Netherlands; importance of registration networks and ICPC in Primary Care

    Information about the corona crisis (COVID-19) in Dutch general practice is scarce. Since March 2th, the Fame-Net (Radboud University Medical Centre Family Medicine Network) has carefully registered all care contacts related to COVID-19. FaMe-Net registers all doctor-patient consultations within an Episodes of Care structure. This includes diagnoses that may alter during an episode of care, and all encounters within this episode of care. All morbidity is carefully classified in accordance with the International Classification of Primary Care (ICPC).

    Contact: kees.vanboven@radboudumc.nl

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    Call for papers: AI driven informatics, sensing, imaging and big data analysis for fighting the COVID-19 pandemic

    The Journal of Biomedical and Health Informatics encourages researchers, who are using informatics to address COVID – 19 issues are to submit high quality data and unpublished work. The submitted manuscripts will be processed through a fast track procedure, and the time from submission to first decision will be limited to 15 days.

    Topics of interest include, but are not limited to, the following:

    • Collection, harmonization, sharing, and visualization of COVID – 19 related data
    • AI-driven exploration of susceptibility and infection in humans
    • Modeling of virus propagation, recurrence and virulence from epidemiological observations
    • AI-driven medical imaging (including chest X-ray and CT) analysis for COVID-19 detection
    • AI-driven histopathology analysis for COVID-19 diagnosis
    • Bioinformatics for COVID-19 subtype rational drug design
    • ML-based treatment evaluation and outcome prediction
    • AI-based care pathways planning for comorbid patients
    • Deep Learning for COVID-19 treatment, and prognosis
    • Sensor informatics for monitoring COVID-19 infected patients at home or in ICU
    • Informatics-driven rapid testing of the virus in humans
    • In silico modeling of clinical trials in COVID-19 drug and vaccine development
    • Big Data-enabled Citizen-Mediated Public Health Policy making

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    Swiss Institute of Bioinformatics (SIB) resources supporting SARS-CoV-2 research

    SIB experts and resources are taking part in the global effort to develop dedicated data services, analysis tools, training offer - and to improve knowledge sharing to fight the COVID-19 pandemic. This list is updated regularly as new tools and findings become available.

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    Nederlandse Vereniging voor Bio-ethiek (NVBe) (available in Dutch only)

    Voor wie professioneel met ethische vraagstukken rond het coronavirus te maken krijgt, wordt de komende weken op de NVBe-website een speciale pagina ingericht. Dit is een initiatief van een groep van samenwerkende ethici, waar de NVBe graag een platform voor biedt.

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    The COVID-19 pandemic in The Netherlands; importance of registration networks and ICPC in Primary Care

    Information about the corona crisis (COVID-19) in Dutch general practice is scarce. Since March 2th, the Fame-Net (Radboud University Medical Centre Family Medicine Network) has carefully registered all care contacts related to COVID-19. FaMe-Net registers all doctor-patient consultations within an Episodes of Care structure. This includes diagnoses that may alter during an episode of care, and all encounters within this episode of care. All morbidity is carefully classified in accordance with the International Classification of Primary Care (ICPC).

    Contact: Kees van Boven, FaMe--net/ Radboud Department of Primary and Community care

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    Horizon2020 COVID-19 projects: guidelines for open access to publications, data and other research outputs

    On 30 January 2020 the World Health Organization (WHO) declared that the SARS-CoV-2 outbreak constitutes a Public Health Emergency of International Concern (PHEIC). The COVID-19 crisis is putting high pressure on the research community to speed up science discovery, inform the public health response and help save lives, as demonstrated by the activation by the WHO of the R&D Blueprint to accelerate diagnostics, vaccines and therapeutics for this novel virus. A necessary complementary action to accelerate and amplify impact is to ensure that research findings and data relevant to this outbreak, are shared as rapidly, openly and effectively as possible.Therefore, the European Commission urges researchers of Horizon 2020 grants with research outputs that - in any way - may be used to advance the research on COVID-19, to provide immediate open access to their related publications, data and any other output possible, in line with the guidance offered in this document.

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    Open database of COVID-19 cases with chest X-ray or CT images

    To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo.

    This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D

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    Coronavirus Tech Handbook

    The Coronavirus Tech Handbook is a crowdsourced library of tools, services and resources relating to COVID-19 response. It is a rapidly evolving resource with thousands of expert contributors.

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