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Supporting Data Management for 3D and Raster Data: Lessons learned from the DataPool Project

机译:支持3D和栅格数据的数据管理:从DataPool项目中学到的经验教训

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摘要

Research institutions, funding bodies and researchers themselves are becoming increasingly aware of the need to manage imaging and 3D data. At an institutional level data management policies are playing an increasingly significant role laying down plans for the provision of infrastructure, policy and guidance. Drawing upon the preliminary results of the University of Southampton's JISC funded DataPool project, this paper will gauge the extent to which institutional policy development might be supplemented or even enhanced by an increased awareness of localised responses to the challenges of imaging and 3D data management. The paper will review approaches to data management that have been adopted by individuals and research groups and will propose that in many cases these developments might be pivotal in defining the form of institutional data management policy should take.
机译:研究机构,资助机构和研究人员自身越来越意识到管理影像和3D数据的必要性。在机构一级,数据管理政策在制定基础设施,政策和指导计划方面发挥着越来越重要的作用。借鉴南安普敦大学JISC资助的DataPool项目的初步结果,本文将通过提高对影像和3D数据管理挑战的本地化认识,来评估机构政策制定可以补充甚至增强的程度。本文将回顾个人和研究小组所采用的数据管理方法,并提出在许多情况下,这些发展对于确定机构数据管理政策应采取的形式可能至关重要。

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  • 来源
    《Archiving 2013》|2013年|255-258|共4页
  • 会议地点 Washington DC(US)
  • 作者单位

    University of Southampton, Southampton, UK;

    University of Southampton, Southampton, UK;

    University of Southampton, Southampton, UK;

    University of Southampton, Southampton, UK;

    University of Southampton, Southampton, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-26 14:07:45

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