STAR Metrics Workshop on Software and Data Citation and Attribution
STAR Metrics Workshop on Software and Data Citation and Attribution
批准号:
1621324
负责人:
Piotr Sliz
金额:
$4.07万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-02-15 至 2017-08-31
中文摘要
创造和传播新的有用的研究工具和数据对科学进步至关重要。本次研讨会将汇集来自不同科学研究领域的团体,如生物医学、物理科学、计算机科学、语言学、信息科学和社会科学,共同讨论感兴趣的领域,分享发现和方法,并协调未来的目标和计划,以改善科学软件和数据引用和归因的规范和实践。这项工作将有助于正确认识和奖励那些为科学研究所依赖的数据和软件工具创造和增加价值的人。本次研讨会的参与者来自高度多样化和科学上不同的研究领域和领域,因此,面对面交流思想、交流知识和协调努力的机会相对较少。本次研讨会将为致力于改进科学软件和数据的引用和归因系统和方法的不同研究人员之间的跨领域协调、互动和合作提供机会。研讨会参与者将参与广泛的与会者范围内的讨论,主题涉及工具和资源,跨领域的努力融合,以及以前和正在进行的关于科学研究中软件和数据引用的社区努力。参与者还将与受邀的外部专家直接接触,提供他们的观点并促进社区讨论。所有会议和小组的书面报告将由与会者在研讨会结束时准备。
英文摘要
The creation and dissemination of new and useful research tools and data is critical to scientific progress. This workshop will bring together groups from such diverse and varied science research domains as biomedicine, physical sciences, computer science, linguistics, information science, and the social sciences to collectively discuss areas of interest, share findings and methods, and coordinate future goals and planning related to improving the norms and practices for scientific software and data citation and attribution. This work will contribute to properly recognizing and rewarding those who create and add value to the data and software tools relied on in scientific research. Participants in this workshop hail from highly diverse and scientifically distinct areas and fields of research, and as such, have relatively few opportunities to interact face-to-face to share ideas, exchange knowledge and coordinate efforts. This workshop will offer an opportunity for cross-domain coordination, interaction and collaboration between a diverse set of researchers committed to the common goal of improving the systems and methods of citation and attribution of scientific software and data. Workshop participants will engage in extensive attendee-wide discussions on topics related to tools and resources, cross-domain convergence of efforts, and previous and ongoing community efforts regarding software and data citation in science research. Participants will also engage directly with external experts invited to give their perspectives and facilitate community discussion. Written reports suitable for publication from all sessions and panels will be prepared by meeting participants at the culmination of the workshop.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: Assessing Established and Alternative Citation, Attribution and Impact Metrics for Scientific Software through Data Mining and Direct Tracking Methods
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批准号:1448069
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2015
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负责人:Piotr Sliz
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依托单位:
RCN: Coordinated Computing in Structural Biology
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批准号:0639193
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项目类别:Continuing Grant
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资助金额:$49.97万
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财政年份:2007
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负责人:Piotr Sliz
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依托单位:
海外基金