Shaing Code Among Academic Researchers: Lessons Learned

Carol E. Schmitz, Ameena Khan, Libby Hemphill
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Abstract

Academic researchers have been collecting data and pro- gramming scripts to process and analyze them for years. Re- searchers have studied the difficulty in sharing data alone, but sharing the scripts required to reproduce results has been discussed less often. At the Collective Action and So- cial Media (CASM) Lab at the Illinois Institute of Technol- ogy, we study how people use social media to engage with their communities. Our interdisciplinary team consists of students with various technical backgrounds. Since everyone in the lab needs to run code, we have developed a standard repository structure. We will share the structure definition and explain the reasoning behind our design decisions. We aim to make our data and code accessible to social scientists not trained in information retrieval, so we frame this paper from that perspective. By publicizing our approach we invite researchers with similar goals to build on our work, collab- orate on the design and implementation of modern tools to share code and data, and to suggest improvements to our process.
在学术研究人员中共享代码:经验教训
多年来,学术研究人员一直在收集数据并编写脚本来处理和分析它们。研究人员已经研究了单独共享数据的困难,但是共享重现结果所需的脚本却很少被讨论。在伊利诺伊理工学院的集体行动和社交媒体(CASM)实验室,我们研究人们如何使用社交媒体与他们的社区互动。我们的跨学科团队由具有不同技术背景的学生组成。由于实验室中的每个人都需要运行代码,所以我们开发了一个标准的存储库结构。我们将分享结构定义并解释我们设计决策背后的原因。我们的目标是让没有受过信息检索训练的社会科学家可以访问我们的数据和代码,所以我们从这个角度来构建本文。通过宣传我们的方法,我们邀请具有相似目标的研究人员来构建我们的工作,在现代工具的设计和实现上进行合作,以共享代码和数据,并对我们的过程提出改进建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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