STAR Metrics Workshop on Software and Data Citation and Attribution

软件和数据引用与归属 STAR Metrics 研讨会

• 批准号: 1621324
• 负责人: Piotr Sliz
• 金额: $ 4.07万
• 依托单位: Harvard University
• 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
• 起止时间: 2016-02-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1621324&HistoricalAwards=false
• 关键词: STAR; Metrics; Workshop; Software; Data

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.

新的、有用的研究工具和数据的创建和传播对于科学进步至关重要。本次研讨会将汇集来自生物医学、物理科学、计算机科学、语言学、信息科学和社会科学等不同科学研究领域的团体，共同讨论感兴趣的领域，分享研究结果和方法，并协调与改进科学软件和数据引用和归属的规范和实践相关的未来目标和规划。这项工作将有助于正确认可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独特的领域和研究领域，因此面对面互动以分享想法、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属的系统和方法的共同目标的不同研究人员之间提供跨领域协调、互动和协作的机会。研讨会参与者将参与广泛的与会者讨论，主题涉及工具和资源、跨领域工作的融合，以及先前和正在进行的有关科学研究中软件和数据引用的社区工作。参与者还将直接与受邀的外部专家接触，发表他们的观点并促进社区讨论。与会者将在研讨会结束时准备适合所有会议和小组发表的书面报告。