Digital Narratives of offers a curated Twitter corpus of digital conversations about the Coronavirus pandemic. The dataset is collected through a script via Twitter's Application Programming Interface (API) starting on April 24 th , 2020, and stored on GitHub as an open access repository of tweet identifiers that can be consulted, downloaded, and reused by scholars interested in Natural Language Processing (NLP), topic modelling, and other quantitative methods. A stable version of the dataset has also been released through Zenodo. Twitter datasets are structured in three main collections: tweets in Spanish worldwide; geolocated tweets in six Spanishspeaking areas spanning North and Central America (Mexico, Colombia, Ecuador), South America (Argentina, Peru), and Europe (Spain); and geolocated tweets in English and Spanish from the greater Miami area in South Florida.
The coronavirus crisis has created different initiatives that promote access to open publications and open data, solve collaboratively and from different places, being an example of the benefits of open science. From the initial version of the Compilation on Open Science from COVID-19: Open Access + Open Data (Version I: April 3, 2020) published by Alejandro Uribe-Tirado (http://eprints.rclis.org/39864/), it seemed to us, a good practice to update this first input openly and collaboratively, using the platform: https://etherpad.wikimedia.org/p/covid19. This new version (Version II: June 3, 2020), is the result of this joint work.
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