Provenance Analytics Model for Research Software (PARS)

研究软件来源分析模型 (PARS)

• 批准号: EP/X036383/1
• 负责人: Heather Packer
• 金额: $ 33.59万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX036383%2F1
• 关键词: Provenance; Analytics; Model; Research; Software

Modern research is centered around publication, where peer review plays a pivotal role in assuring the quality of disseminated research. The research published is supported by a myriad of online services, allowing for published research to be searched and analysed based on a range of properties ranging from research area to authors. This honed process enables institutions, funding bodies, and the government to find, value, and use research.Software has become a critical factor in research in all disciplines. While it provides significant effort to develop and maintain its existence is not well acknowledged in the publication eco-system and its value to external stakeholders is hidden. The Society of Research Software Engineering and the Software Sustainability Institute has sort to recognise and promote the role of software and software engineers in research. Despite these efforts, the value of software and its contributors are not visible to external scrutiny.This project takes knowledge generated by the research process from different silos supporting research activities and integrates it into a single model expressing research activities, outputs, and contributors. The complex relationships in the research process can be expressed in provenance, which was designed to model complex processes in order to reason over. This model will build a more accurate knowledge base that can provide insight into the research process and evidence that can describe the value of research activities and contributors in context to academic publications. This can be used to describe the activity of research broadly to research bodies and institutions, or more granularly describing the work of an individual which can be used in promotion panels or support the search for employees. Concretely, this work will model using provenance: 1) Research software, its development and social interactions; 2) Academic publications and their attributes; 3) Relationships between research software and academic papers.The specific relationships modelled will be driven by stakeholder consultation and the NIA's research objections to provide a user-driven model to support both research-led and practical purposes. The graph structure of the provenance model provides benefits to the types of queries that can be asked of the data including temporal queries to support the investigation of phases of research, and it also reduces the complexity of queries because it will be possible to use one query instead of multiple queries across multiple sources with different standards and formats. While the data modelled in PARS already persists on the web, this data structure provides linked context about the development. - Improve the rate of links between publication by 30% - The number of papers with links research software from a particular field or conference per a year - The number of papers published in that field or conference for that year

现代研究以出版为中心，同行评议在保证传播研究的质量方面起着关键作用。发表的研究得到无数在线服务的支持，允许根据从研究领域到作者的一系列属性对发表的研究进行搜索和分析。这个经过磨练的过程使机构、资助机构和政府能够发现、重视和使用研究。软件已经成为所有学科研究中的一个关键因素。虽然它的发展和维护付出了巨大的努力，但它的存在在出版生态系统中没有得到很好的承认，对外部利益相关者的价值是隐藏的。软件工程研究协会和软件可持续性研究所已经开始承认和促进软件和软件工程师在研究中的作用。尽管有这些努力，软件的价值和它的贡献者是不可见的外部审查。该项目将研究过程中产生的知识从支持研究活动的不同筒仓中提取出来，并将其集成到一个表达研究活动、产出和贡献者的单一模型中。研究过程中的复杂关系可以用出处来表达，目的是为了对复杂过程进行建模，以便进行推理。该模型将建立一个更准确的知识库，可以提供对研究过程的洞察和证据，可以在学术出版物的背景下描述研究活动和贡献者的价值。这可以用来广泛地描述研究机构和机构的研究活动，或者更细致地描述个人的工作，可以用于晋升小组或支持寻找员工。具体来说，这项工作将使用来源建模：1)研究软件，其发展和社会互动；2)学术出版物及其属性；3)研究软件与学术论文的关系。具体的关系模型将由利益相关者咨询和NIA的研究反对意见驱动，以提供一个用户驱动的模型，以支持研究主导和实际目的。来源模型的图结构为可以对数据进行查询的查询类型提供了好处，包括时间查询，以支持对研究阶段的调查，并且还降低了查询的复杂性，因为可以使用一个查询，而不是跨具有不同标准和格式的多个源使用多个查询。虽然在PARS中建模的数据已经存在于web上，但这种数据结构提供了有关开发的链接上下文。-将出版物之间的链接率提高30% -每年来自特定领域或会议的链接研究软件的论文数量-该年在该领域或会议上发表的论文数量