Data Papers 2.0: Reimagining the future of open science and reproducibility.

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Bibliographic Details
Title: Data Papers 2.0: Reimagining the future of open science and reproducibility.
Authors: Acevedo, Miguel1 (AUTHOR) maacevedo@ufl.edu, DiRenzo, Graziella2 (AUTHOR), Kandlikar, Gaurav3 (AUTHOR), Picardi, Simona4 (AUTHOR), Ye, Hao5 (AUTHOR)
Source: Ecology. Jun2026, Vol. 107 Issue 6, p1-3. 3p.
Subject Terms: Reproducible research, Metadata, Environmental databases, Information sharing, Science publishing, Open data movement, Open scholarship
Abstract: The article focuses on the modernization of Ecology Data Papers, a publication format for ecological datasets, updating it to "Data Papers 2.0" to meet 21st-century data standards and needs. Data Papers 2.0 emphasize data reusability over dataset size, require clear ecological applications, and welcome innovative secondary data compilations, while excluding analytical content. New features include concise articles describing datasets, author and reviewer checklists, and permanent metadata storage in repositories with unique DOIs to enhance accessibility and longevity. This update reflects community input gathered through expert consultations, a conference session, and surveys, aiming to improve transparency, reproducibility, and credit for data collectors, thereby supporting open science and advancing ecological research. [Extracted from the article]
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Database: GreenFILE
Description
Abstract:The article focuses on the modernization of Ecology Data Papers, a publication format for ecological datasets, updating it to "Data Papers 2.0" to meet 21st-century data standards and needs. Data Papers 2.0 emphasize data reusability over dataset size, require clear ecological applications, and welcome innovative secondary data compilations, while excluding analytical content. New features include concise articles describing datasets, author and reviewer checklists, and permanent metadata storage in repositories with unique DOIs to enhance accessibility and longevity. This update reflects community input gathered through expert consultations, a conference session, and surveys, aiming to improve transparency, reproducibility, and credit for data collectors, thereby supporting open science and advancing ecological research. [Extracted from the article]
ISSN:00129658
DOI:10.1002/ecy.70434