DataPLAN:基于web的植物科学数据管理计划生成器

IF 2.2 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Pub Date : 2023-10-24 DOI:10.3390/data8110159
Xiao-Ran Zhou, Sebastian Beier, Dominik Brilhaus, Cristina Martins Rodrigues, Timo Mühlhaus, Dirk von Suchodoletz, Richard M. Twyman, Björn Usadel, Angela Kranz
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引用次数: 0

摘要

研究数据管理(RDM)结合了一组组织、存储和保存研究项目数据的实践。项目的RDM策略通常形式化为数据管理计划(DMP)——一个列出确保数据可查找性、可访问性、互操作性和可重用性(公平性)的过程的文档。RDM的许多方面都是跨学科标准化的,因此数据和元数据是可重用的,但是植物科学中的ddm组件通常是断开的。由于无法跨项目和资金来源重用特定于工厂的DMP内容,因此需要额外的时间和精力为不同的设置编写独特的DMP。为了解决这个问题,我们开发了dataplan——一个包含预先编写的植物科学DMP内容的开源工具,可以在线或离线使用来准备多个DMP。当前版本的DataPLAN支持地平线2020和地平线欧洲项目,以及由德国研究基金会(DFG)资助的项目。此外,DataPLAN还为用户提供了定制自己模板的选项。为配合其他资助计划,我们会在未来增加其他模板。DataPLAN通过提供针对不同资金背景优化的标准化RDM实践,减少了在植物科学中创建或更新dmp所需的工作量。
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DataPLAN: A Web-Based Data Management Plan Generator for the Plant Sciences
Research data management (RDM) combines a set of practices for the organization, storage and preservation of data from research projects. The RDM strategy of a project is usually formalized as a data management plan (DMP)—a document that sets out procedures to ensure data findability, accessibility, interoperability and reusability (FAIR-ness). Many aspects of RDM are standardized across disciplines so that data and metadata are reusable, but the components of DMPs in the plant sciences are often disconnected. The inability to reuse plant-specific DMP content across projects and funding sources requires additional time and effort to write unique DMPs for different settings. To address this issue, we developed DataPLAN—an open-source tool incorporating prewritten DMP content for the plant sciences that can be used online or offline to prepare multiple DMPs. The current version of DataPLAN supports Horizon 2020 and Horizon Europe projects, as well as projects funded by the German Research Foundation (DFG). Furthermore, DataPLAN offers the option for users to customize their own templates. Additional templates to accommodate other funding schemes will be added in the future. DataPLAN reduces the workload needed to create or update DMPs in the plant sciences by presenting standardized RDM practices optimized for different funding contexts.
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来源期刊
Data
Data Decision Sciences-Information Systems and Management
CiteScore
4.30
自引率
3.80%
发文量
0
审稿时长
10 weeks
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