About me

 

 

 

Short CV (I/II)

 

EDUCATION & TRAINING

• BcS in Computer Science (July 2015) at UCLM
• MsC in Computer Science Engineering (October 2016) at UCLM

WORK EXPERIENCE

• Research assistant in Alarcos Research Group (from 2015 to 2017)
• Co-founder Cirebits JE
• Co-founder DQTeam S.L. Spin-off UCLM

OTHERS

• Standarization committees participation
  • ISO/IEC 20547 – JTC 1/WG9 for Big Data. 7-9 July 2015. Ciudad Real (Spain). Attendee
  • ISO 8000 – TC184/SC4/WG13. 17-19 February 2015. Ciudad Real (Spain). Attendee.
• International academic conference organization committees participation
  • 10th IEEE International Conference on Global Software Engineering (ICGSE). 13-16
    July 2015. Ciudad Real (Spain). Organization committee staff.
  • 21st International Conference on Information Quality (ICIQ). 21-23 July 2016. Ciudad
    Real (Spain). Organization committee staff.

  Short CV(II/II)

  PUBLICATIONS

  • I8K|DQ-BigData: I8K Architecture Extension for Data Quality in Big
    Data in the MoBiD workshop of the 34th International Conference
    on Conceptual Modelling (ER2015).
  • JCR Q1- Future Generation Computer Systems Journal. “A Data
    Quality in Use model for Big Data”.
  • JCR Q2– Computer Software & Interfaces. “Towards a service
    architecture for master data exchange based on ISO 8000 with
    support to process large datasets”.
  • Infrastructure-Aware Functional Testing of MapReduce Programs.
    FiCloud Workshops 2016: 171-176
  • I8K|DQ-BigData: Extensión Arquitectura I8K para Calidad de Datos
    en Big Data. JISBD 2015 Conference, Santander (Spain)
  • No JCR – Advances in Science, Technology and Engineering
    Systems Journal. 2 – 1, pp. 90 – 96. ASTESJ.
    “Configuration/Infrastructure-aware testing of MapReduce
    programs”, 15/01/2017. ISSN 2415-6698

 

 

 

 

Subject of the Thesis

Provisional Title

 

• A framework for the evaluation and improvement of Data Quality from an
  ISO/IEC 25000 perspective

 

Data Quality

 

• Fitness for use

• ISO/IEC 25012

  • A General data quality model for data

• ISO/IEC 25024

  • Defines data quality measures

• ISO 8000-8

  • Fundamental concepts of information and data quality

Big Data

 

• Volume
• Velocity
• Variety

 

 

 

Objectives

• To know the state of the art in the area of data quality, data
  management and ISO/IEC 25000 family.
• To develop a “Measurement Framework for Data Quality”, in
  which are defined how volume, velocity and variety should to
  be measure and how affects to the data.

• To develop a data quality metamodel for store the data
  quality measurement results in a data quality repository.

• To apply the “Measurement and Evaluation Framework for
  Data Quality” in different organizations at national and
  international level, in order to validate and refine through
  case studies the proposed framework.