Assessing Legacy Collections for Scientific Data Rescue
Assessing Legacy Collections for Scientific Data Rescue
复制标题
评估遗产收藏以拯救科学数据
DOI：
10.1007/978-3-030-71305-8_25
复制
发表时间：
2021
影响因子：
3.8
通讯作者：
Katrina Fenlon
中科院分区：
文献类型：
--
作者：
Hilary Szu Yin Shiue;Cooper T. Clarke;Miranda Shaw;K. Hoffman;Katrina Fenlon
在促进科学研究的再利用和再现方面的广泛投资促使人们越来越认识到未发表记录和遗留研究材料（如科学家论文、历史出版物和工作文件）中数据投标的潜在价值。从遗留集合中恢复可用的科学数据构成了一种数据拯救：通常紧急应用选定的数据管理过程来处理即将丢失的数据。鉴于对数据密集型研究的兴趣日益增长，以及随之而来的在记忆机构中进行计算处理的收集，科学数据存储库和收集机构将受益于评估和处理遗留收集的系统方法，其具体目标是检索可重复使用或具有历史价值的科学数据。本文提出了一个初步的框架，评估遗产收集的研究材料的数据救援的目的。该框架通过美国农业部国家农业图书馆举办的三个农业研究收藏案例研究开发，旨在指导农业研究中心的数据救援计划，并为跨学科数据救援的新兴对话提供概念框架。
Widespread investments in facilitating reuse and reproducibility of scientific research have spurred an increasing recognition of the potential value of data biding in unpublished records and legacy research materials, such as scientists’ papers, historical publications, and working files. Recovering usable scientific data from legacy collections constitutes one kind ofdata rescue: the usually urgent application of selected data curation processes to data at imminent risk of loss. Given growing interest in data-intensive research, and a concomitant movement toward computationally amenable collections in memory institutions, scientific data repositories and collecting institutions would benefit from systematic approaches to assessing and processing legacy collections with the specific goal of retrieving reusable or historically valuable scientific data. This paper suggests a preliminary framework for assessing legacy collections of research materials for the purpose of data rescue. Developed through three case studies of agricultural research collections held by the United States Department of Agriculture’s National Agricultural Library, this framework aims to guide data rescue initiatives in agricultural research centers, and to provide conceptual framing for emerging conversations around data rescue across disciplines.