@inproceedings{e5146ee930784369abe52ee5f5c8b47d,
title = "Data quality evaluation: Methodology and key factors",
abstract = "Data Quality Evaluation is becoming an institutionalized stage in data quality lifecycle. More and more practice is promoted by data management and user organization in specific fields especially in better informationalized application circumstance. In order to improve the ability of data quality evaluation, the paper presents the key factors for data quality assessment and measurement. On the base of analyzing the main methodologies and standards on data quality management, the key factors includes objectives, general principles, characteristics, measurement function etc.",
keywords = "Characteristics, Data quality evaluation, Measures, Standards",
author = "Ying Yang and Yuan Yuan and Bo Li",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 2nd International Conference on Smart Computing and Communication, SmartCom 2017 ; Conference date: 10-12-2017 Through 12-12-2017",
year = "2018",
doi = "10.1007/978-3-319-73830-7\_22",
language = "英语",
isbn = "9783319738291",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "222--230",
editor = "Meikang Qiu",
booktitle = "Smart Computing and Communication - 2nd International Conference, SmartCom 2017, Proceedings",
address = "德国",
}