Research networks in data repositories

Mark R. Costa, Jian Qin, Jun Wang
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引用次数: 4

Abstract

This paper reports our ongoing work investigating the structural features of scientific collaboration based on metadata collected from a scientific data repository (SDR). The background literature is reviewed in supporting our claim that metadata collected from SDRs offer a complimentary data source to traditional publication metadata collected from digital libraries. Methodological considerations are discussed in association with using metadata from SDRs, including author name disambiguation and data parsing. Initial findings show that the network has some unique macro-level structural features while also in agreement with existing networks theories. Challenges due to inconsistent metadata quality control procedures are also discussed in an attempt to reinforce claims that metadata should be designed to support both domain specific retrieval and evaluation and assessment needs.
研究数据存储库中的网络
本文报告了我们正在进行的研究基于从科学数据存储库(SDR)收集的元数据的科学协作的结构特征的工作。本文回顾了背景文献,以支持我们的观点,即从sdr收集的元数据为从数字图书馆收集的传统出版物元数据提供了一个免费的数据源。讨论了与使用sdr元数据相关的方法学考虑,包括作者姓名消歧和数据解析。初步研究结果表明,该网络具有独特的宏观结构特征,同时也与现有的网络理论相一致。本文还讨论了由于不一致的元数据质量控制程序所带来的挑战,试图强化元数据应被设计为既支持特定领域的检索又支持评估和评估需求的主张。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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