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Open COVID-19 Scientific Data
Data Science and Analytics
Tags and Keywords
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Free
About
This dataset offers preliminary research reports, known as preprints, related to the global COVID-19 pandemic. These documents, sourced from platforms such as medRxiv and bioRxiv, include titles, abstracts, and author details. They represent cutting-edge scientific work and are made openly accessible to support the ongoing battle against the virus. It is important to note that preprints have not undergone peer review and should not be considered conclusive for guiding clinical practice or health-related behaviour.
Columns
- DOI: Digital Object Identifier, a unique ID for each preprint.
- Date of Upload: The date the preprint was uploaded to its respective website.
- Title of preprint: The title of the research paper.
- Preprint Link: A direct link to access the full paper.
- Abstract: A summary of the paper's content.
- Number of Authors: The count of authors involved in the research.
- Authors: The names of the authors.
- Author(s) Institutions: Institutional affiliations of the authors.
- Uploaded Site: The platform where the preprint was uploaded, either medRxiv or bioRxiv.
Distribution
The dataset is typically provided in a CSV file format. It includes metadata for over 5,500 unique preprints. The distribution of preprints by upload site shows that approximately 80% originate from medRxiv and 20% from bioRxiv.
Usage
This dataset is ideal for data science and analytics projects, including exploratory data analysis and natural language processing. It can be used by researchers and data scientists working on various aspects of the COVID-19 pandemic.
Coverage
The dataset covers preprints globally, with upload dates ranging from 25th September 2019 to 20th June 2020.
License
CC0
Who Can Use It
- Scientists and Researchers: To stay updated on the latest preliminary findings regarding COVID-19.
- Data Scientists and Analysts: For text mining, trend analysis, and other data-driven insights into pandemic research.
- Academics and Students: As a resource for studying the rapid dissemination of scientific information during a global health crisis.
Dataset Name Suggestions
- COVID-19 Research Preprints
- Global Pandemic Preprint Data
- MedRxiv BioRxiv COVID-19 Research
- SARS-CoV-2 Preprint Collection
- Open COVID-19 Scientific Data
Attributes
Original Data Source: COVID-19 Research Preprint Data
QUALITY