EAGER: Developing a framework to identify and mitigate perceptual and technical barriers in code sharing to facilitate reproducible and transparent research

EAGER：开发一个框架来识别和减轻代码共享中的感知和技术障碍，以促进可重复和透明的研究

• 批准号: 2135954
• 负责人: Serghei Mangul
• 金额: $ 19.99万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2135954&HistoricalAwards=false
• 关键词: EAGER; Developing; framework; identify; mitigate

This project will conduct exploratory research into the barriers and strategies for making research code publicly accessible. While there has been significant progress in making research datasets accessible for purposes of open science and reproducibility, code and other forms of software developed in research projects are less frequently made available persistently. In scientific research, it is not only imperative to publish a detailed description of the study design, methodology, results, and interpretation, but there is a pressing need to make all the research products (including code and software) publicly available, shareable, well documented, and organized to facilitate reproducible and transparent research.An important research product that is an essential element ensuring reproducible research is the analytic code used for the analysis. In contrast to sharing data, which is widely enforced by scientific journals and research organizations, there is limited guidance on code sharing which in addition to data represents an essential component of reproducible and rigorous research. The project will result in: A) Descriptive information which will be collected through one-to-one interviews through teleconferencing, as well as by distributing surveys across 5,000 randomly selected principal investigators who were supported by NSF and/or NIH, B) Recommendations for code sharing to be developed through a series of structured teleconferences with informed experts, notably editors of scientific journals with a strong interest in code sharing and reproducible research, and C) Formation of a Research Code Alliance (RCA) to develop a framework to mitigate perceptual and technical barriers in code sharing to facilitate reproducible and transparent research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将对公开研究代码的障碍和策略进行探索性研究。 尽管在出于开放科学和可重复性目的而使研究数据集可访问方面取得了重大进展，但研究项目中开发的代码和其他形式的软件很少持续提供。 在科学研究中，不仅需要公布研究设计、方法、结果和解释的详细描述，而且迫切需要使所有研究产品（包括代码和软件）公开、可共享、良好地使用。记录并组织起来，以促进可重复和透明的研究。用于分析的分析代码是确保可重复研究的基本要素的重要研究产品。与科学期刊和研究组织广泛实施的数据共享相比，代码共享的指导有限，除了数据之外，代码共享还代表了可重复和严谨研究的重要组成部分。 该项目将产生：A) 通过电话会议一对一访谈以及对 5,000 名随机选择的主要研究人员进行调查收集的描述性信息，这些研究人员得到了 NSF 和/或 NIH 的支持，B) 建议通过与知情专家（特别是对代码共享和可重复研究有浓厚兴趣的科学期刊编辑）举行的一系列结构化电话会议来开发代码共享，以及 C）研究的形成代码联盟 (RCA) 旨在开发一个框架，以减轻代码共享中的感知和技术障碍，以促进可重复和透明的研究。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Data availability of open T-cell receptor repertoire data, a systematic assessment

• DOI: 10.3389/fsysb.2022.918792
• 发表时间: 2022-04
• 期刊: bioRxiv
• 作者: Yu-Ning Huang;Naresh Amrat Patel;Jay Himanshu Mehta;Srishti Ginjala;P. Brodin;C. Gray;Yesha M Patel;L. Cowell;A. Burkhardt;S. Mangul