Know thy sensor: Trust, data quality, and data integrity in scientific digital libraries

被引:0
|
作者
Wallis, Jillian C. [1 ]
Borgman, Christine L. [2 ]
Mayernik, Matthew S. [2 ]
Pepe, Alberto [2 ]
Ramanathan, Nithya [3 ]
Hansen, Mark [4 ]
机构
[1] Univ Calif Los Angeles, Ctr Embedded Networked Sensing, Los Angeles, CA 90024 USA
[2] Univ Calif Los Angeles, Grad Sch Educat & Informat Stud, Los Angeles, CA 90024 USA
[3] Univ Calif Los Angeles, Henry Samueli Sch Engn & Appl Sci, Dept Comp Sci, Los Angeles, CA 90024 USA
[4] Univ Calif Los Angeles, Coll Letters & Sci, Dept Stat, Los Angeles, CA 90024 USA
基金
美国国家科学基金会;
关键词
data integrity; data quality; trust; user centered design; user experience; scientific data;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by scientific problem, by individual, and a variety of other factors. This paper compares technical approaches to data integrity with scientific practices, as a case study in the Center for Embedded Networked Sensing (CENS) in the use of wireless, in-situ sensing for the collection of large scientific data sets. The goal of this research is to identify functional requirements for digital libraries of scientific data that will serve to bridge the gap between current technical approaches to data integrity and existing scientific practices.
引用
收藏
页码:380 / +
页数:3
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