分析数据中心研究数据和科学文献的业务流程

Seno Yudhanto, Laksmi Laksmi
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引用次数: 1

摘要

介绍本研究旨在确定PDDI LIPI数据收集方法的研究数据管理活动和业务流程。这项研究采用了案例研究的方法,从2021年6月到7月对五名线人进行了采访和观察。数据分析编码的三个阶段用于分类、识别类别,并将其与现有理论相关联。数据的表示是通过基于业务流程模型和符号(BPMN)的业务流程中的实体描述来进行的。结果和讨论。策展过程中进行了四项主要活动。数据所有者和策展人成为这一过程中的参与者,两者之间需要在实施过程中进行信任、沟通和协作。此外,还对业务流程进行了验证,以表明该流程一直在科学运行。结论这些活动中的知识流以结构化的方式基于映射的业务程序和流程进行记录。有必要对时间和资源进行定期审查和分析。进一步的研究应侧重于与研究数据管理活动相关的人力资源、政策文件和设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis proses bisnis kurasi data penelitian di Pusat Data dan Dokumentasi Ilmiah
Introduction. This study aims to identify research data curation activities and business processes at PDDI LIPI Data Collection Methods. This research used a case study approach with interviews and observations of five informants from  June to July 2021. Data Analysis Three stages of coding are used to sort, identify, and associate categories with existing theories. Presentation of data was conducted through the description of entities from business processes based on the business process model and notation (BPMN). Results and Discussion. Four main activities of the curation process were carried out. The data owners and curators become actors in the process, and between the two requires trust, communication, and collaboration in their implementation. In addition, validation of the business processes was conducted to show that the process has been running scientifically. Conclusion. The flow of knowledge in these activities is documented in a structured manner based on mapped business procedures and processes. It is necessary to conduct periodic reviews and analyzes of time and resources. Further research should focus on human resources, policy documents, and facilities related to research data curation activities.
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