Understanding the Scientific Data Editorial Board

The Scientific Data Editorial Board is the cornerstone of the journal’s commitment to high‑quality, reproducible research. Composed of leading experts across disciplines, the board oversees the peer‑review process, sets editorial standards, and guides the journal’s strategic direction. Members bring diverse perspectives—from data management and open‑science advocacy to domain‑specific expertise—ensuring that every submission receives a thorough, unbiased evaluation.

Key Responsibilities of Board Members

Board members perform several essential functions:

How the Board Supports Authors

Authors benefit from a transparent, supportive editorial environment. The board works closely with the journal’s staff to “help you publish, discover and” share data effectively. For example, Deputy Editor Giampiero Accardo recently discussed the new Engineering section, highlighting how editorial guidance can streamline the submission of complex datasets. In addition, a series of instructional videos—featuring experts like Dr. Paul Woods, Associate Editor—offers practical tips for preparing data descriptors, selecting appropriate repositories, and complying with open‑access policies.

Editorial Workflow and Peer Review

The review process begins with an initial assessment by the editorial office, followed by assignment to a handling editor who selects two to three reviewers with relevant expertise. Reviewers evaluate the manuscript against criteria such as data completeness, methodological transparency, and compliance with community standards. Once reviews are received, the handling editor synthesizes feedback and presents a recommendation to the board. The board’s final decision—accept, revise, or reject—reflects a consensus that balances scientific merit with data integrity.

Special Initiatives and Community Engagement

The board actively promotes community involvement through initiatives that extend beyond traditional publishing. Recent efforts include:

  1. Hosting webinars on data stewardship, such as the Nature Research video series that showcases best practices for data sharing.
  2. Partnering with professional societies—e.g., the ATS PBTS Working Group led by Larissa Shimoda, PhD—to develop guidelines for domain‑specific data types.