Towards principled data science assessment

The Personal Data Science Process (PdsP)

Ismael Caballero, Laure Berti-Equille, Mario Piattini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 Personal 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.

Original languageEnglish
Title of host publicationICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings
PublisherSciTePress
Pages374-378
Number of pages5
Volume1
ISBN (Print)9789897580970
Publication statusPublished - 2015
Event17th International Conference on Enterprise Information Systems, ICEIS 2015 - Barcelona, Spain
Duration: 27 Apr 201530 Apr 2015

Other

Other17th International Conference on Enterprise Information Systems, ICEIS 2015
CountrySpain
CityBarcelona
Period27/4/1530/4/15

Fingerprint

Data privacy
Information management
Quality management
Data management
Personal data

Keywords

  • Data Governance
  • Data Management
  • Data Quality Management
  • Data Scientist
  • Maturity Model

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

Cite this

Caballero, I., Berti-Equille, L., & Piattini, M. (2015). Towards principled data science assessment: The Personal Data Science Process (PdsP). In ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings (Vol. 1, pp. 374-378). SciTePress.

Towards principled data science assessment : The Personal Data Science Process (PdsP). / Caballero, Ismael; Berti-Equille, Laure; Piattini, Mario.

ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings. Vol. 1 SciTePress, 2015. p. 374-378.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Caballero, I, Berti-Equille, L & Piattini, M 2015, Towards principled data science assessment: The Personal Data Science Process (PdsP). in ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings. vol. 1, SciTePress, pp. 374-378, 17th International Conference on Enterprise Information Systems, ICEIS 2015, Barcelona, Spain, 27/4/15.
Caballero I, Berti-Equille L, Piattini M. Towards principled data science assessment: The Personal Data Science Process (PdsP). In ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings. Vol. 1. SciTePress. 2015. p. 374-378
Caballero, Ismael ; Berti-Equille, Laure ; Piattini, Mario. / Towards principled data science assessment : The Personal Data Science Process (PdsP). ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings. Vol. 1 SciTePress, 2015. pp. 374-378
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