新的信息检索问题:数据的可用性

Q3 Social Sciences
Sarika Sharma, James Wilson, Yubing Tian, Megan Finn, Amelia Acker
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引用次数: 0

摘要

开放科学的目标是由需要数据管理、共享和可访问性的政策驱动的。衡量开放科学政策对科学知识影响的一种方法是访问已准备好用于重复使用的数据。但是数据资源的可访问性/可用性如何?在本文中,我们讨论了一种探索和定位由美国联邦资助项目的科学家提供的数据集的方法。数据路径方法在联邦裁决中进行了测试。在这里,我们描述了方法和分析了由国家科学基金会授予的50项联邦奖励的结果,这些奖励旨在追求数据资源及其在出版物、数据存储库或机构存储库中的可用性。数据路径方法有助于开发一种实用的可用性方法,该方法捕获了从联邦资助的科学项目中获取数据的当前方式——包括机构存储库、期刊数据存储、PI和项目网页、科学数据平台以及其他发现的可能性。本文讨论了这种方法的一些背景和动机,方法,研究设计,从项目中搜索数据资源时遇到的障碍,以及这种方法如何对未来的数据可用性研究有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The New Information Retrieval Problem: Data Availability
ABSTRACT The goals of open science are driven by policies requiring data management, sharing, and accessibility. One way of measuring the impact of open science policies on scientific knowledge is to access data that has been prepared for re‐use. But how accessible/available are data resources? In this paper, we discuss a method for exploring and locating datasets made available by scientists from federally funded projects in the US. The data pathways method was tested on federal awards. Here we describe the method and the results from analyzing fifty federal awards granted by the National Science Foundation to pursue data resources and their availability in publications, data repositories, or institutional repositories. The data pathways approach contributes to the development of a practical approach on availability that captures the current ways in which data are accessible from federally funded science projects –ranging from institutional repositories, journal data deposit, PI and project web pages, and science data platforms, among other found possibilities. This paper discusses some background and motivations for such a method, the method, research design, barriers encountered when searching for data resources from projects, and how this method can be useful to future studies of data availability.
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来源期刊
Proceedings of the Association for Information Science and Technology
Proceedings of the Association for Information Science and Technology Social Sciences-Library and Information Sciences
CiteScore
1.30
自引率
0.00%
发文量
164
期刊介绍: Information not localized
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