Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community
Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community
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DOI：
10.1186/1471-2105-10-s14-s2
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发表时间：
2009-01-01
影响因子：
3
通讯作者：
Ingwersen, Peter
中科院分区：
文献类型：
--
作者：
Chavan, Vishwas S.;Ingwersen, Peter
背景：目前的主要科学数据，特别是与生物多样性有关的数据，既不容易发现，也不容易获取。在几个障碍中，一个是缺乏对科学数据出版努力的专业认可。一个可能的解决方案是建立一个“数据发布框架”，它将鼓励和认可机构和个人在管理方面的投资和努力，并潜在地将原始科学数据的发布与学术出版的认可同等对待。讨论：本文回顾了初级生物多样性数据发布的最新进展，并构想了一个“数据发布框架”，它将有助于激励机构和个人在促进自由和开放获取生物多样性数据方面的努力和投资。它进一步假定了“数据使用指数(DUI)”的制度化，这将使数据收集/创建、管理和发布周期中的多个参与者得到应有的承认。结论：我们认为，将这样一个“数据发布框架”制度化，提供有利于数据发布的社会文化、法律、技术、经济和政策环境，将有助于加快发现和动员数量呈指数级增长的“适合使用”的初级生物多样性数据，其中大部分目前是看不见的。
Background: Currently primary scientific data, especially that dealing with biodiversity, is neither easily discoverable nor accessible. Amongst several impediments, one is a lack of professional recognition of scientific data publishing efforts. A possible solution is establishment of a 'Data Publishing Framework' which would encourage and recognise investments and efforts by institutions and individuals towards management, and publishing of primary scientific data potentially on a par with recognitions received for scholarly publications.Discussion: This paper reviews the state-of-the-art of primary biodiversity data publishing, and conceptualises a 'Data Publishing Framework' that would help incentivise efforts and investments by institutions and individuals in facilitating free and open access to biodiversity data. It further postulates the institutionalisation of a 'Data Usage Index (DUI)', that would attribute due recognition to multiple players in the data collection/creation, management and publishing cycle.Conclusion: We believe that institutionalisation of such a 'Data Publishing Framework' that offers socio-cultural, legal, technical, economic and policy environment conducive for data publishing will facilitate expedited discovery and mobilisation of an exponential increase in quantity of 'fit-for-use' primary biodiversity data, much of which is currently invisible.