The New Information Retrieval Problem: Data Availability

被引：0
作者：
Sharma S. [1 ]
Wilson J. [2 ]
Tian Y. [2 ]
Finn M. [2 ]
Acker A. [1 ]
机构：
[1] University of Texas-Austin, United States
[2] University of Washington, United States
来源：
Proceedings of the Association for Information Science and Technology | 2023年 / 60卷 / 01期
基金：
美国国家科学基金会;
关键词：
Data availability; Open Science Policies;
D O I：
10.1002/pra2.796
中图分类号：
学科分类号：
摘要：
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. Annual Meeting of the Association for Information Science & Technology | Oct. 27 – 31, 2023 | London, United Kingdom. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.
引用
收藏
页码：379 / 387
页数：8
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