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Participatory Prototype Design: Developing a Sustainable Metadata Curation Workflow for Maternal Child Health Research

机译:参与式原型设计:开发可持续的Metadata策划工作流程,用于产妇儿童健康研究

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摘要

This paper describes the findings from a participatory prototype design project, where the authors worked with maternal and child health (MCH) researchers and stakeholders to develop a MCH metadata profile and sustainable curation workflow. This work led to the development of three prototypes: 1) a study catalogue hosted in Dataverse, 2) a metadata and research records repository hosted in REDCap and 3) a metadata harvesting tool/dashboard hosted within the Shiny RStudio environment. We present a brief overview of the methods used to develop the metadata profile, curation workflow and prototypes. Researchers and other stakeholders were participant-collaborators throughout the project. The participatory process involved a number of steps, including but not limited to: initial project design and grant writing; scoping and mapping existing practices, workflows and relevant metadata standards; creating the metadata profile; developing semi-automated and manual techniques to harvest and transform metadata; and end project sustainability/future planning. In this paper, we discuss the design process and project outcomes, limitations and benefits of the approach, and implications for researcher-oriented metadata and data curation initiatives.
机译:本文介绍了参与式原型设计项目的调查结果,其中作者与妇幼保健(MCH)研究人员和利益相关者一起开发了MCH元数据概况和可持续策划工作流程。这项工作导致了三种原型的开发:1)在DativerSers中托管的研究目录,2)在RedCAP中托管的元数据和研究记录存储库和3)在闪亮的Rstudio环境中托管的元数据收集工具/仪表板。我们介绍了用于开发元数据配置文件,策序工作流和原型的方法的简要概述。研究人员和其他利益攸关方在整个项目中都是参与者合作者。参与过程涉及许多步骤,包括但不限于:初始项目设计和授予写作;范围和映射现有的实践,工作流程和相关元数据标准;创建元数据配置文件;开发半自动和手动技术以收获和转换元数据;和最终项目可持续性/未来规划。在本文中,我们讨论了方法的设计流程和项目结果,局限性和效益,以及对研究人员的元数据和数据策策举措的影响。

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