ISMB2025-Liverpool-poster: Data and Code are First Class Research Objects

IntroductionGigaScience Press publishes two journals: <i>GigaScience</i> and <i>GigaByte.</i> Both have extremely high standards for transparency and reproducibility. To maintain these standards we have a team of data curators (biocurators) whose job is to ensure the manuscripts are as transparent and reproducible as possible prior to publication.GigaDB can host any sort of data, however, we encourage authors to use existing stable public repository (such as those shown below) whenever possible. GigaDB biocurators act as an interpretation layer between the often-verbose standards of FAIR data, and time- pressured authors, who require succinct and pertinent guidance specific to their manuscript.This is accomplished by reading the manuscript prior to peer-review and advising the authors on how to make their research objects available, either privately whilst under peer-review, or directly open. This ensures reviewers can spend their time reviewing the article rather than hunting for the data or code.Here we present a summary of the variety of different repositories that our biocurators recommend to authors, and how we ensure those data are suitably cited and linked from the journal articles and, where appropriate, from GigaDB datasets.Author guidanceAt the initial stage, the curator provides guidance to authors on which data should be shared and how, as well as assistance with submitting to public repositories. This includes advice on licensing, ethical approval verification, and formatting files for FAIRness.In the later stage, curators ensure that all input/output data and methodologies are accessible along with their proper annotations. Finally, through our partnership with DataCite, each dataset in GigaDB receives a unique Digital Object Identifier (DOI). This allows for standardised citation of these datasets in future research, by both the original authors and other investigators.

前言
GigaScience出版社（GigaScience Press）主办两份期刊：《GigaScience》与《GigaByte》。二者均对研究的透明度与可重复性设有极高标准。为维持该标准，我们配备了一支数据管理员（biocurators，生物编目员）团队，其职责是确保稿件在发表前尽可能具备透明度与可重复性。
GigaDB可托管各类数据，但我们鼓励作者在可行范围内优先使用已有的稳定公共存储库（如下文所列）。GigaDB的生物编目员在FAIR数据（FAIR data）往往过于繁杂的标准与时间紧张的作者之间搭建起衔接桥梁，为后者提供契合其稿件的精准且针对性的指导。
该目标通过同行评审前审阅稿件，并告知作者如何公开其研究成果（可在同行评审期间以私密方式公开，或直接公开）得以实现。此举可让审稿人将精力集中于稿件审阅，而非花费时间搜寻数据或代码。
本文汇总了本团队生物编目员向作者推荐的各类存储库，并介绍了我们如何确保相关数据在期刊论文中得到恰当引用与链接，且在适宜情况下与GigaDB数据集完成关联。

作者指南
在项目初期，编目员会向作者提供关于应共享哪些数据、如何共享的指导，并协助作者向公共存储库提交数据。此类指导涵盖许可协议说明、伦理审查验证，以及为满足FAIR标准进行的文件格式调整建议。
在后续阶段，编目员将确保所有输入/输出数据及研究方法均可被访问，并附带完整的注释说明。最终，通过与DataCite的合作，GigaDB中的每个数据集都会获得唯一的数字对象标识符（Digital Object Identifier，DOI）。这使得原始作者及其他研究人员在后续研究中可对这些数据集进行标准化引用。