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Data rescue archive weather (DRAW):Preserving the complexity of historical climate data

机译:数据救援存档天气(DRAW):保留历史气候数据的复杂性

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Purpose - To rescue at-risk historical scientific data stored at the McGill Observatory, the objectives of the Data Rescue Archive Weather (DRAW) project are: to build a repository; to develop a protocol to preserve the data in weather registers; and to make the data available to research communities and the public. The paper aims to discuss these issues. Design/methodology/approach - The DRAW project adopts an open archive information system compliant model as a conceptual framework for building a digital repository. The model consists of data collection, conversion, data capture, transcription, arrangement, description, data extraction, database design and repository setup. Findings - A climate data repository, as the final product, is set up for digital images of registers and a database is designed for data storage. The repository provides dissemination of and access to the data for researchers, information professionals and the public. Research limitations/implications - Doing a quality check is the most important aspect of rescuing historical scientific data to ensure the accuracy, reliability and consistency of data. Practical implications - The DRAW project shows how the use of historical scientific data has become a key element in research analysis on scientific fields, such as climatology and environmental protection. Originality/value - The historical climate data set of the McGill Observatory is by nature unique and complex for preservation and research purposes. The management of historical scientific data is a challenge to rescue and describe as a result of its heterogeneous and non-standardized form.
机译:目的-为了挽救存储在麦吉尔天文台的高风险历史科学数据,数据救援存档天气(DRAW)项目的目标是:建立知识库;制定协议以将数据保存在天气寄存器中;并将数据提供给研究社区和公众。本文旨在讨论这些问题。设计/方法/方法-DRAW项目采用开放式档案信息系统兼容模型作为构建数字存储库的概念框架。该模型包括数据收集,转换,数据捕获,转录,排列,描述,数据提取,数据库设计和存储库设置。调查结果-气候数据存储库作为最终产品被建立用于寄存器的数字图像,而数据库则被设计用于数据存储。该存储库为研究人员,信息专业人员和公众提供了数据的传播和访问。研究局限性/含义-进行质量检查是挽救历史科学数据以确保数据的准确性,可靠性和一致性的最重要方面。实际意义-DRAW项目展示了如何使用历史科学数据已成为气候学和环境保护等科学领域研究分析中的关键要素。原创性/价值-麦吉尔天文台的历史气候数据集从本质上来说是独特且复杂的,可用于保存和研究。由于科学数据的异质性和非标准化形式,因此对其进行抢救和描述是一项挑战。

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