PyGeoweaver: Tangible workflow tool for enhancing scientific research productivity and FAIRness

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-09-01 DOI:10.1016/j.softx.2024.101863

Gokul Prathin, Ziheng Sun, Sanjana Achan

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引用次数: 0

Abstract

Scientific research faces workflow inefficiencies and reproducibility issues. PyGeoweaver, a Python library, helps manage data pipelines to address these problems. It stands out for its accessibility and ease of use, making it ideal for individual researchers and small teams. Unlike traditional systems that demand extensive technical expertise, it is designed to be beginner-friendly, allowing anyone to work with it without encountering significant technical hurdles. It can help researchers intuitively design workflows, retrieve data, and analyse it efficiently. It also offers compelling benefits for AI use cases, enabling researchers to develop and deploy AI models with ease. Serving as a decentralised hub for workflow management, it ensures discoverability, accessibility, and reusability of scientific workflows, fostering collaboration and research reproducibility. The paper will introduce its technical framework, present successful applications, and share insights from user feedback. Based on our research experiences in the past two years, PyGeoweaver has proven to be a valuable tool, enabling researchers to attain significant research progress with minimal technical complexities.

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PyGeoweaver：有形的工作流程工具，用于提高科研生产力和公平性

科学研究面临着工作流程效率低下和可重复性问题。PyGeoweaver 是一个 Python 库，可帮助管理数据管道以解决这些问题。PyGeoweaver 以其可访问性和易用性脱颖而出，是个人研究人员和小型团队的理想选择。与需要大量专业技术知识的传统系统不同，它的设计对初学者非常友好，任何人都可以使用它，而不会遇到重大的技术障碍。它可以帮助研究人员直观地设计工作流程、检索数据并进行高效分析。它还为人工智能用例提供了引人注目的优势，使研究人员能够轻松开发和部署人工智能模型。作为工作流管理的去中心化枢纽，它确保了科学工作流的可发现性、可访问性和可重用性，促进了合作和研究的可复制性。本文将介绍其技术框架，介绍成功应用，并分享从用户反馈中获得的启示。根据我们过去两年的研究经验，PyGeoweaver已被证明是一个非常有价值的工具，它能让研究人员以最小的技术复杂度取得显著的研究进展。

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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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.