Greetings NTU researchers/professors/scholars! If you are looking for data related to COVID-19, check out the Harvard Dataverse. It has a featured COVID-19 Data Collection (there are 76 datasets and 2295 files by 14 May):
The collection contains COVID-19 statistics, Twitter data, survey data and many other types of data. The data are mainly under the subject areas of social sciences, medicine health and life sciences, earth and environmental sciences, and computer and information science. Geographically, the data cover Asia, Europe and the U.S..
The collection has the following sub-collections (i.e. sub-dataverses, a term which would be familiar to DR-NTU (Data) users):
- COVID-19 Survey Research (1): hosts survey instruments from research conducted in New York City and Boston;
- Food Access and Security During Coronavirus (2): provides data and survey tools developed by US researchers to examine the impact of coronavirus on food access and security;
- COVID-19 Research & Evaluations (7): an international collaborative effort (Africa, South Asia and America) to obtain data on COVID-19 related knowledge, attitudes and practices to inform policy making;
- COVID-19 Coronavirus Europe data (4): daily update of COVID-19 statistics of Spain, Italy, Austria and Netherland by Slava Tykhonov, a senior data scientist in Netherland;
- Resources for COVID-19 (13): mainly a weekly update of China COVID-19 related data maintained by China Data Lab;
- COVID-19 2019-nCov SARS-CoV-2 Datasets (1): medical countermeasures analysis of COVID-19 by MIT Lincoln Laboratory.
*Numbers in the brackets are number of datasets in the sub-dataverse as of 14 May 2020.
In addition, there are another 48 datasets residing directly under the root collection.
The datasets are gaining good amount of attention! One popular dataset has attracted almost a hundred thousand downloads since it was published on 20 Feb 2020!
Ok, enough of Harvard Dataverse.
NTU researchers, you are welcome to use DR-NTU (Data) to share your research data and findings relevant to the novel COVID-19 outbreak. Timely access to research data and findings would be critical in accelerating the global efforts to contain the pandemic.
Feel free to contact us if you need any help on using DR-NTU (Data)!
(Source of the featured image: https://commons.wikimedia.org/wiki/File:COVID-19-outbreak-timeline.gif)
