pyJSON Schema Loader and JSON Editor: A tool for file-based metadata management

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

SoftwareX Pub Date : 2024-11-07 DOI:10.1016/j.softx.2024.101945

Nick Plathe , Markus M. Becker , Steffen Franke

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引用次数: 0

Abstract

This work introduces the “pyJSON Schema Loader and JSON Editor”, a client-side desktop application for offline and local environments capable of creating, editing and tracking metadata-containing JSON documents. The newly developed tool aims to support the generation and re-use of structured metadata, required for the implementation of research data management and the FAIR data principles in research workflows. pyJSON is written in Python, a modern and flexible programming language. The interface consists of a table-like view tailored to present JSON documents, enriched with information from the corresponding JSON schema. It shall assist in creating and maintaining documents containing metadata by simplifying the process of generation and editing based on a given schema. It is used to document data sets, data collections and devices in a local file structure, intending to support the transition from paper-based documentation to more modern research data management workflows, while sustaining a uniform and standardised structure, without the need to bind users to an often complex and resource demanding database system.

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pyJSON 模式加载器和 JSON 编辑器：基于文件的元数据管理工具

本作品介绍了 "pyJSON 模式加载器和 JSON 编辑器"，这是一个客户端桌面应用程序，适用于离线和本地环境，能够创建、编辑和跟踪包含元数据的 JSON 文档。新开发的工具旨在支持结构化元数据的生成和重用，这对于在研究工作流程中实施研究数据管理和 FAIR 数据原则是必需的。其界面由一个表格式视图组成，专门用于显示 JSON 文档，并通过相应的 JSON 模式中的信息加以充实。它将通过简化基于给定模式的生成和编辑过程，协助创建和维护包含元数据的文档。它用于在本地文件结构中记录数据集、数据集合和设备，旨在支持从基于纸张的文件向更现代化的研究数据管理工作流程过渡，同时保持统一和标准化的结构，而无需将用户绑定到通常复杂且需要大量资源的数据库系统。

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.