University of Oulu

Eija Ferreira and Denzil Ferreira. 2017. Towards altruistic data quality assessment for mobile sensing. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 464-469. DOI: https://doi.org/10.1145/3123024.3124439

Towards altruistic data quality assessment for mobile sensing

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Author: Ferreira, Eija1; Ferreira, Denzil1
Organizations: 1Center for Ubiquitous Computing; University of Oulu; Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe201710098924
Language: English
Published: Association for Computing Machinery, 2017
Publish Date: 2017-10-09
Description:

Abstract

High-quality data is a necessity for successful research and development endeavors. In this article, we review relevant literature for data quality (DQ) assessment methods in different domains and discuss the possibilities, challenges and constraints of applying them to mobile sensing. We identify DQ dimensions directly applicable to sensor data: believability (comparison with the correct operating bounds), completeness (missing values), free-of-error (erroneous values), consistency (over time), timeliness (delay), accuracy (deviation from true value) and precision (granularity of readings) are core aspects of high-quality sensor data. We also emphasize that sensor data must be representative of the originating type of sensor. We propose an altruistic approach to DQ assessment for sensor data that facilitates aggregating and sharing of domain knowledge through a community-contributed library of DQ assessment methods organized by sensor type.

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ISBN: 978-1-4503-5190-4
Pages: 464 - 469
DOI: 10.1145/3123024.3124439
OADOI: https://oadoi.org/10.1145/3123024.3124439
Host publication: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17)
Conference: UbiComp/ISWC'17 Adjunct, September 11–15, 2017, Maui, HI, USA
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 286386-CPDSS, 285459- iSCIENCE, 304925-CARE), the European Commission (Grant 6AIKA-A71143-AKAI), and Marie Skłodowska- Curie Actions (645706-GRAGE).
EU Grant Number: (645706) GRAGE - Grey and green in Europe: elderly living in urban areas
Academy of Finland Grant Number: 276786
286386
285459
304925
Detailed Information: 276786 (Academy of Finland Funding decision)
286386 (Academy of Finland Funding decision)
285459 (Academy of Finland Funding decision)
304925 (Academy of Finland Funding decision)
Copyright information: © 2017 Copyright is held by the owner/author(s).