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

该项目将对公开研究代码的障碍和策略进行探索性研究。 虽然在使研究数据集可用于开放科学和可复制性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不太经常持续提供。 在科学研究中，不仅必须公布研究设计、方法、结果和解释的详细说明，而且迫切需要使所有的研究产品（包括代码和软件）公开可用，可共享，有良好的文档记录，并组织起来，以促进可复制和透明的研究。一个重要的研究产品，是一个基本要素，确保可复制的研究是用于分析的分析代码。与科学期刊和研究组织广泛执行的数据共享相反，代码共享的指导有限，除了数据之外，代码共享是可重复和严格研究的重要组成部分。 该项目将产生：A）描述性信息，将通过电话会议进行一对一访谈，以及通过在NSF和/或NIH支持的5，000名随机选择的主要研究者中分发调查来收集，B）通过与知情专家进行一系列结构化电话会议来制定代码共享建议，特别是对代码共享和可复制研究有浓厚兴趣的科学期刊编辑，（C）成立研究守则联盟（Research Code Alliance，RCA）开发一个框架，以减轻代码共享中的感知和技术障碍，促进可重复和透明的研究。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。

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.