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准备好将元数据纳入2015年后发展议程了吗?将数据发布与负责任的创新及科学外交联系起来。

Ready to put metadata on the post-2015 development agenda? Linking data publications to responsible innovation and science diplomacy.

作者信息

Özdemir Vural, Kolker Eugene, Hotez Peter J, Mohin Sophie, Prainsack Barbara, Wynne Brian, Vayena Effy, Coşkun Yavuz, Dereli Türkay, Huzair Farah, Borda-Rodriguez Alexander, Bragazzi Nicola Luigi, Faris Jack, Ramesar Raj, Wonkam Ambroise, Dandara Collet, Nair Bipin, Llerena Adrián, Kılıç Koray, Jain Rekha, Reddy Panga Jaipal, Gollapalli Kishore, Srivastava Sanjeeva, Kickbusch Ilona

机构信息

1 Office of the President, Gaziantep University , Gaziantep, Turkey .

出版信息

OMICS. 2014 Jan;18(1):1-9. doi: 10.1089/omi.2013.0170.

Abstract

Metadata refer to descriptions about data or as some put it, "data about data." Metadata capture what happens on the backstage of science, on the trajectory from study conception, design, funding, implementation, and analysis to reporting. Definitions of metadata vary, but they can include the context information surrounding the practice of science, or data generated as one uses a technology, including transactional information about the user. As the pursuit of knowledge broadens in the 21(st) century from traditional "science of whats" (data) to include "science of hows" (metadata), we analyze the ways in which metadata serve as a catalyst for responsible and open innovation, and by extension, science diplomacy. In 2015, the United Nations Millennium Development Goals (MDGs) will formally come to an end. Therefore, we propose that metadata, as an ingredient of responsible innovation, can help achieve the Sustainable Development Goals (SDGs) on the post-2015 agenda. Such responsible innovation, as a collective learning process, has become a key component, for example, of the European Union's 80 billion Euro Horizon 2020 R&D Program from 2014-2020. Looking ahead, OMICS: A Journal of Integrative Biology, is launching an initiative for a multi-omics metadata checklist that is flexible yet comprehensive, and will enable more complete utilization of single and multi-omics data sets through data harmonization and greater visibility and accessibility. The generation of metadata that shed light on how omics research is carried out, by whom and under what circumstances, will create an "intervention space" for integration of science with its socio-technical context. This will go a long way to addressing responsible innovation for a fairer and more transparent society. If we believe in science, then such reflexive qualities and commitments attained by availability of omics metadata are preconditions for a robust and socially attuned science, which can then remain broadly respected, independent, and responsibly innovative. "In Sierra Leone, we have not too much electricity. The lights will come on once in a week, and the rest of the month, dark[ness]. So I made my own battery to power light in people's houses." Kelvin Doe (Global Minimum, 2012) MIT Visiting Young Innovator Cambridge, USA, and Sierra Leone "An important function of the (Global) R&D Observatory will be to provide support and training to build capacity in the collection and analysis of R&D flows, and how to link them to the product pipeline." World Health Organization (2013) Draft Working Paper on a Global Health R&D Observatory.

摘要

元数据指的是关于数据的描述,或者如有些人所说,“关于数据的数据”。元数据记录了科学幕后发生的事情,涵盖了从研究构思、设计、资金投入、实施、分析到报告的整个过程。元数据的定义各不相同,但可以包括围绕科学实践的背景信息,或者在使用某项技术时生成的数据,包括有关用户的交易信息。随着21世纪对知识的追求从传统的“关于是什么的科学”(数据)扩展到包括“关于如何做的科学”(元数据),我们分析了元数据如何成为负责任的开放创新以及进而科学外交的催化剂。2015年,联合国千年发展目标(MDGs)将正式结束。因此,我们提议,元数据作为负责任创新的一个要素,有助于实现2015年后议程上的可持续发展目标(SDGs)。这种负责任的创新作为一个集体学习过程,已成为例如欧盟2014 - 2020年800亿欧元的“地平线2020”研发计划的一个关键组成部分。展望未来,《组学:综合生物学杂志》正在发起一项倡议,制定一个灵活但全面的多组学元数据清单,通过数据协调以及更高的可见性和可访问性,实现对单组学和多组学数据集更全面的利用。生成能够揭示组学研究如何开展、由谁开展以及在何种情况下开展的元数据,将为科学与其社会技术背景的整合创造一个“干预空间”。这将大大有助于实现更公平、更透明社会的负责任创新。如果我们相信科学,那么通过组学元数据的可得性所具备的这种反思性品质和承诺,是一门强大且与社会协调一致的科学的先决条件,这样的科学才能广泛地保持受尊重、独立且负责任地创新。“在塞拉利昂,我们没有太多电。灯一周才亮一次,这个月剩下的时间都是黑的。所以我自己制作了电池,为人们家里供电。” 凯尔文·多伊(《全球最低标准》,2012年) 美国麻省理工学院访问青年创新者及塞拉利昂人 “(全球)研发观测站的一项重要功能将是提供支持和培训,以建设收集和分析研发流动情况以及如何将其与产品管道相联系的能力。” 世界卫生组织(2013年) 《关于全球卫生研发观测站的工作文件草案》

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