Toward a New Quality Measurement Model for Big Data

Mandana Omidbakhsh, Olga Ormandjieva

2020

Abstract

Along with wide accessibility to Big Data, arise the need for a standardized quality measurement model in order to facilitate the complex modeling, analysis and interpretation of Big Data quality requirements and evaluating data quality. In this paper we propose a new hierarchical goal-driven quality model for ten Big Data characteristics (V’s) at its different levels of granularity built on the basis of: i) NIST (National Institute of Standards and Technology) definitions and taxonomies for Big Data, and ii) the ISO/IEC standard data terminology and measurements. According to our research findings, there is no related measurements in ISO/IEC for important Big Data characteristics such as Volume, Variety and Valence. As our future work we intend to investigate theoretically valid methods for quality assessment of the above-mentioned V’s.

Paper Citation

in Harvard Style

Omidbakhsh M. and Ormandjieva O. (2020). Toward a New Quality Measurement Model for Big Data.In Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-440-4, pages 193-199. DOI: 10.5220/0009820201930199

in Bibtex Style

@conference{data20,
author={Mandana Omidbakhsh and Olga Ormandjieva},
title={Toward a New Quality Measurement Model for Big Data},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2020},
pages={193-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009820201930199},
isbn={978-989-758-440-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Toward a New Quality Measurement Model for Big Data
SN - 978-989-758-440-4
AU - Omidbakhsh M.
AU - Ormandjieva O.
PY - 2020
SP - 193
EP - 199
DO - 10.5220/0009820201930199