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New Technology of Library and Information Service  2015, Vol. 31 Issue (12): 80-88    DOI: 10.11925/infotech.1003-3513.2015.12.12
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Cross-disciplinary Data Curation Workflow: A Case Study of Environmental Health Data
Yang Lin, Li Jiao, Hou Li, Qian Qing
Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
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[Objective] This study aims at designing an appropriate curation process to deal with cross-disciplinary data management in environmental health field in a stable and sustainable manner. [Methods] Referring to Digital Curation Center (DCC) Curation Lifecycle Model, the authors formulate environmental health data processing procedure in a standardized workflow and make the contents of each module with rigorous definition. [Results] The workflow is applied to curate climate data and hosptial registry data, that provides backend support for the environmental health part of the medical knowledge service system. The result shows it could practically help manage cross-disciplinary data. [Limitations] Due to the diversity of demand, the workflow needs further specification in data model, data standardization, etc. [Conclusions] The workflow could effectively incorporate curators with different backgrounds, take into account both the data quality and data size, and help curate cross-disciplinary data.

Received: 06 July 2015      Published: 06 April 2016
:  TP311  

Cite this article:

Yang Lin, Li Jiao, Hou Li, Qian Qing. Cross-disciplinary Data Curation Workflow: A Case Study of Environmental Health Data. New Technology of Library and Information Service, 2015, 31(12): 80-88.

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