From Swab to Server: Testing, Sequencing, and Sharing During a Pandemic
Discover how sample strategies can affect scientific research and results:
Sampling is a critical part of research in any field. In studying a disease such as Covid-19, it’s imperative that your sample and sampling methods are best-suited to reflect accurate results.
Supported by expert educators, you will explore different sample methods to examine their efficacy. With this knowledge, you’ll be equipped to discuss sampling strategies and their correct applications.
Delve into the ethics of data sharing on a pandemic scale:
Data from samples provides scientists with the essential information they need to analyse and track a disease.
However, this sample data can contain highly personal information about the population. You’ll discuss the ethical implications of using and sharing data and consider methods of protecting personal information.
Recognise the importance of data sharing and linkage in public health concerns:
Linking genomic data sets to clinical and epidemiological data sets can help us understand the effects of different variants, which is especially prevalent for Covid-19.
With the help of COG-Train, you’ll learn to create holistic datasets through linkage. With this knowledge, you’ll further your understanding of Covid-19 and use your findings to address concerns related to public health.
Keywords: metadata, Sequencing, genomics, Genomic data, data quality, scientific quality assurance, data sharing, ethics, data ethics, public health, coronavirus, sars-cov-2, covid-19, data linkage
Target audience: scientific researchers, public health professionals and clinicians
Resource type: FREE online course
Contributors: Our list of contributors can be found on our course page.