loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ismael Caballero 1 ; Laure Berti-Equille 2 and Mario Piattini 1

Affiliations: 1 University of Castilla-La Mancha, Spain ; 2 Qatar Computing Research Institute, Qatar

ISBN: 978-989-758-096-3

Keyword(s): Data Scientist, Maturity Model, Data Governance, Data Management, Data Quality Management.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Enterprise Resource Planning ; Enterprise Software Technologies ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Engineering

Abstract: With the Unstoppable Advance of Big Data, the Role of Data Scientist Is Becoming More Important than Ever before, in This Position Paper, We Argue That Scientists Should Be Able to Acknowledge the Importance of Data Quality Management in Data Science and Rely on a Principled Methodology When Performing Tasks Related to Data Management, in Order to Quantify How Much a Data Scientist Is Able to Perform the Core of Data Management Activities We Propose the Personal Data Science Process (PdsP), Which Includes Five Staged Qualifications for Data Science Professionals, the Qualifications Are based on Two Dimensions: Personal Data Management Maturity (PDMM) and Personal Data Science Performance (PDSPf), the First One Is Defined According to Dgmr, a Data Management Maturity Model, Which Include Processes Related to the Areas of Data Management: Data Governance, Data Management, and Data Quality Management, the Second One, PDSPf, Is Grounded on PSP (Personal Software Process) and Cover the Per sonal Skills and Knowledge of Data Scientist When Participating in a Data Science Project, These Dimensions Will Allow to Developing a Measure of How Well a Data Scientist Can Contribute to the Success of the Organization in Terms of Performance and Skills Appraisal. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.249.234

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Caballero, I.; Berti-Equille, L. and Piattini, M. (2015). Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP).In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-096-3, pages 374-378. DOI: 10.5220/0005463703740378

@conference{iceis15,
author={Ismael Caballero. and Laure Berti{-}Equille. and Mario Piattini.},
title={Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP)},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2015},
pages={374-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005463703740378},
isbn={978-989-758-096-3},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP)
SN - 978-989-758-096-3
AU - Caballero, I.
AU - Berti-Equille, L.
AU - Piattini, M.
PY - 2015
SP - 374
EP - 378
DO - 10.5220/0005463703740378

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.