To help researchers, data scientists and analysts Google Cloud has created COVID-19 Public Dataset Program: a archive of publicly accessible and accessible data sets to be used in the fight against the Covid-19.

The contents of the datasets are publicly available for the sole educational and research purpose. In the Covid-19 Public Dataset Program, no identifiable personal information (PII) or private health information (PHI) is managed or entered.

As Chad W. Jennings, BigQuery Product Manager and Shane Glass, Google Cloud Developer Advocate, explains in his post, data always plays a crucial role in the ability to do research, study and

Access to datasets and tools that can analyze these data on a large scale via the cloud is increasingly essential for the research process and is necessary in the global response to Covid-19.

To help researchers, data scientists and analysts, Google Cluoud is creating a public data set archive, such as the Johns Hopkins Center for Systems Science and Engineering (JHU CSSE), the Bank’s Global Health Data

Researchers can also use BigQuery ML to prepare advanced machine learning models with these data directly inside BigQuery, at no extra cost.

These data sets remove barriers and provide access to crucial information quickly and easily, eliminating the need to search and upload large data files.

From within Google Cloud Console researchers can access data sets, as well as data description and sample queries to allow advanced searches. All data included in the programme will be public and available free of charge.

The programme will remain in force until 15 September 2020.

The contents of these data sets are publicly available for the sole educational and research purpose.

In the Covid-19 Public Dataset Program Google Cloud is not entering or managing identifiable personal information (PII) or private health information (PHI).

Google follows specific practices and rules to ensure that data is managed in accordance with generally accepted rules on the privacy and security of patients’ data.

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