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Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
NanoImpact ( IF 4.9 ) Pub Date : 2018-01-01 , DOI: 10.1016/j.impact.2017.11.002
Sandra Karcher 1, 2 , Egon L Willighagen 3 , John Rumble 4, 5 , Friederike Ehrhart 3 , Chris T Evelo 3 , Martin Fritts 6 , Sharon Gaheen 6 , Stacey L Harper 7 , Mark D Hoover 8 , Nina Jeliazkova 9 , Nastassja Lewinski 10 , Richard L Marchese Robinson 11, 12 , Karmann C Mills 13 , Axel P Mustad 14 , Dennis G Thomas 15 , Georgia Tsiliki 16, 17 , Christine Ogilvie Hendren 2
Affiliation  

Many groups within the broad field of nanoinformatics are already developing data repositories and analytical tools driven by their individual organizational goals. Integrating these data resources across disciplines and with non-nanotechnology resources can support multiple objectives by enabling the reuse of the same information. Integration can also serve as the impetus for novel scientific discoveries by providing the framework to support deeper data analyses. This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. Based on results from a nanoinformatics-community-wide survey, recommendations for achieving integration of existing operational nanotechnology resources are presented. Nanotechnology-specific data integration challenges, if effectively resolved, can foster the application and validation of nanotechnology within and across disciplines. This paper is one of a series of articles by the Nanomaterial Data Curation Initiative that address data issues such as data curation workflows, data completeness and quality, curator responsibilities, and metadata.

中文翻译:

数据库和数据集之间的集成以支持生产性纳米技术:挑战和建议

纳米信息学广泛领域内的许多团体已经在开发由其个人组织目标驱动的数据存储库和分析工具。将这些跨学科的数据资源与非纳米技术资源集成在一起,可以通过重用相同的信息来支持多个目标。通过提供支持更深入数据分析的框架,集成还可以推动新的科学发现。本文讨论了纳米信息学和类似成熟领域中当前的数据集成实践,以及影响数据集成的纳米技术特定挑战。根据纳米信息学全社区调查的结果,提出了实现现有可操作纳米技术资源整合的建议。纳米技术特定的数据集成挑战,如果得到有效解决,可以促进纳米技术在学科内和跨学科的应用和验证。本文是纳米材料数据管理倡议的系列文章之一,旨在解决数据管理工作流程、数据完整性和质量、策展人职责和元数据等数据问题。
更新日期:2018-01-01
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