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Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
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A roadmap for equitable reuse of public microbiome data.

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Current data sharing guidelines are outdated. A new Data Reuse Information (DRI) tag, linked to ORCID, is proposed to facilitate equitable sequence data reuse and foster scientific collaboration.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Current scientific data sharing guidelines are over 20 years old and ill-suited to the massive scale of modern biological databases.
  • Existing policies are often unfamiliar to researchers, leading to inconsistent data sharing practices across institutions.
  • The rapid growth of biological data necessitates updated standards for effective and equitable reuse.

Purpose of the Study:

  • To address the limitations of current data sharing guidelines for sequence data.
  • To propose a novel mechanism for facilitating equitable data reuse and fostering collaboration.
  • To develop community-driven standards for managing and accessing large-scale biological datasets.

Main Methods:

  • Consultation with a consortium of 167 microbiome scientists to develop new guidelines.
  • Proposal of a machine-readable Data Reuse Information (DRI) tag for public sequence data.
  • Association of the DRI tag with Open Researcher and Contributor ID (ORCID) accounts.

Main Results:

  • Identification of outdated and inconsistent practices in current sequence data sharing policies.
  • Development of a roadmap for establishing equitable sequence data reuse guidelines.
  • Introduction of the DRI tag as a tool to connect data creators and consumers.

Conclusions:

  • The proposed DRI tag, linked to ORCID, offers a practical solution for promoting responsible data reuse.
  • Establishing clear, updated guidelines is crucial for maximizing the benefits of open data sharing in science.
  • The DRI framework has the potential to be adapted for various data types beyond sequence data, enhancing scientific collaboration.