Achieving Transparency: A Metadata Perspective

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2023-02-22 DOI:10.1162/dint_a_00188
Daniel W. Gillman
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引用次数: 1

Abstract

ABSTRACT Transparency is vital to realizing the promise of evidenced-based policymaking, where “evidence-based” means including information as to what data mean and why they should be trusted. Transparency, in turn, requires that enough of this information is provided. Loosely speaking then, transparency is achieved when sufficient documentation is provided. Sufficiency is situation specific, both for the provider and consumer of the documentation. These ideas are presented in two recent US commissioned reports: The Promise of Evidence-Based Policymaking and Transparency in Statistical Information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies. Metadata are a more formalized kind of documentation, and in this paper, we provide and demonstrate necessary, sufficient, and general conditions for achieving transparency from the metadata perspective: conforming to a specification, providing quality metadata, and creating a usable interface to the metadata. These conditions are important for any metadata system, but here the specification is tied to our framework for metadata quality based on the situation-specific needs for transparency. These ideas are described, and their interrelationships are explored.
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实现透明度:元数据视角
透明度对于实现循证决策的承诺至关重要,其中“循证”意味着包括有关数据含义以及为什么应该信任数据的信息。而透明度则要求提供足够的信息。粗略地说,当提供了足够的文档时,就实现了透明度。充分性是特定于文档提供者和使用者的情况的。这些观点出现在美国最近委托编写的两份报告中:为国家科学与工程统计中心和所有联邦统计机构编写的《基于证据的决策承诺》和《统计信息透明度》。元数据是一种更加形式化的文档,在本文中,我们提供并演示了从元数据角度实现透明度的必要、充分和一般条件:符合规范,提供高质量的元数据,并为元数据创建可用的接口。这些条件对于任何元数据系统都很重要,但是这里的规范是与我们的元数据质量框架联系在一起的,该框架基于特定情况下对透明度的需求。对这些思想进行了描述,并探讨了它们之间的相互关系。
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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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
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