research-article

Ethical Dimensions for Data Quality

Authors:

Donatella Firmani,

Letizia Tanca,

Riccardo TorloneAuthors Info & Claims

Journal of Data and Information Quality (JDIQ), Volume 12, Issue 1

Article No.: 2, Pages 1 - 5

https://doi.org/10.1145/3362121

Published: 05 December 2019 Publication History

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Cited By

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Ramalli E(2024)Data Quality, Data Diversity and Data Provenance: An Ethical PerspectiveImproving Technology Through Ethics10.1007/978-3-031-52962-7_4(39-48)Online publication date: 25-Feb-2024
https://doi.org/10.1007/978-3-031-52962-7_4
Fernandes DRêgo A(2023)Viés, ética e responsabilidade social em modelos preditivosComputação Brasil10.5753/compbr.2023.51.3988(19-23)Online publication date: 28-Dec-2023
https://doi.org/10.5753/compbr.2023.51.3988
Mecati MTorchiano MVetrò AMartin J(2023)Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair ClassificationsIEEE Access10.1109/ACCESS.2023.325237011(26996-27011)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3252370
Show More Cited By

Index Terms

Ethical Dimensions for Data Quality
1. Information systems
  1. Data management systems
    1. Information integration
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Codes of ethics

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Journal of Data and Information Quality Volume 12, Issue 1

ON THE HORIZON, CHALLENGE PAPER, REGULAR PAPERS, and EXPERIENCE PAPER

March 2020

110 pages

ISSN:1936-1955

EISSN:1936-1963

DOI:10.1145/3372130

Editor:
Tiziana Catarci
Sapienza University of Rome, Rome, Italy

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2019

Accepted: 01 September 2019

Revised: 01 August 2019

Received: 01 April 2019

Published in JDIQ Volume 12, Issue 1

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Ramalli E(2024)Data Quality, Data Diversity and Data Provenance: An Ethical PerspectiveImproving Technology Through Ethics10.1007/978-3-031-52962-7_4(39-48)Online publication date: 25-Feb-2024
https://doi.org/10.1007/978-3-031-52962-7_4
Fernandes DRêgo A(2023)Viés, ética e responsabilidade social em modelos preditivosComputação Brasil10.5753/compbr.2023.51.3988(19-23)Online publication date: 28-Dec-2023
https://doi.org/10.5753/compbr.2023.51.3988
Mecati MTorchiano MVetrò AMartin J(2023)Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair ClassificationsIEEE Access10.1109/ACCESS.2023.325237011(26996-27011)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3252370
Ng MYoussef AMiner ASarellano DLong JLarson DHernandez-Boussard TLanglotz C(2023)Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine LearningJAMA Network Open10.1001/jamanetworkopen.2023.458926:12(e2345892)Online publication date: 1-Dec-2023
https://doi.org/10.1001/jamanetworkopen.2023.45892
Mecati MVetrò ATorchiano M(2022)Detecting Risk of Biased Output with Balance MeasuresJournal of Data and Information Quality10.1145/353078714:4(1-7)Online publication date: 5-Aug-2022
https://dl.acm.org/doi/10.1145/3530787
Mecati MAdrignola AVetro ATorchiano M(2022)Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10021078(4700-4709)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10021078
Singhar SJena DSharma S(2020)Integrating Machine Learning with Blockchain to Ensure Data Privacy2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT49239.2020.9225342(1-6)Online publication date: Jul-2020
https://doi.org/10.1109/ICCCNT49239.2020.9225342
Rajeshwari EVani M(undefined)Analysis on Integrating Machine Learning with Blockchain to Ensure Data PrivacySSRN Electronic Journal10.2139/ssrn.4140570
https://doi.org/10.2139/ssrn.4140570

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