The first datasets being deposited in 4TU.ResearchData’s archive related to the current COVID-19 pandemic are openly available to the research community. These newly published datasets are from the disciplines of Medical and Health Sciences and Atmospheric Sciences.
The first dataset submitted in early March 2020 by Hubei University of Chinese Medicine comprises the data used for pharmacologic analysis. The dataset is openly available in the public domain and fully documented for other researchers to easily explore the data files.
The second dataset, published on 20 March 2020 was deposited by the Max Planck Institute for Meteorology in Hamburg, Germany. The dataset consists of routine environmental ground observations for China (2018-2020) and Beijing (2019-2020) conducted by China National Environmental Monitoring Center and by the Beijing Municipal Environmental Monitoring Center. This dataset was used for research into the response of the surface ozone levels to the reduced economic activities in China during the urse of the current Coronavirus outbreak.
Both datasets are published under the CC0 license meaning they are openly available in the public domain for use and further exploration by other researchers. A range of license options are available for datasets stored and published by 4TU.ResearchData allowing researchers to manage their datasets as needed. Every dataset in the 4TU.ResearchData archive is provided with a Digital Object Identifier (DOI) through DataCite Netherlands. All datasets are fully documented and metadata made available to optimise data preservation, retrieval and reuse.
Other disciplines related to the COVID-19 pandemic which can be stored and published in the 4TU.ResearchData archive include Material Engineering; Logistics; Crisis Management; Medical and Health Sciences; Chemistry; Nanotechnology and Information and Computing Sciences among others. Explore the repository for openly available datasets on a wide range of topics from the science, technology, engineering and design fields.
Interested to know how we can help you publish your datasets and make them available to the wider research community? Contact us to find out how we can help you to store and publish your datasets following the FAIR principles in these dynamics times.