• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2020
    • vol. 6, nº 2, june 2020
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2020
    • vol. 6, nº 2, june 2020
    • Ver ítem

    Guidelines for performing Systematic Research Projects Reviews

    Autor: 
    García-Holgado, Alicia
    ;
    Marcos-Pablos, Samuel
    ;
    García-Peñalvo, Francisco
    Fecha: 
    06/2020
    Palabra clave: 
    guidelines; method; research projects; reviews; systematic review; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12757
    DOI: 
    https://doi.org/10.9781/ijimai.2020.05.005
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2778
    Open Access
    Resumen:
    There are different methods and techniques to carry out systematic reviews in order to address a set of research questions or getting the state of the art of a particular topic, but there is no a method to carry out a systematic analysis of research projects not only based on scientific publications. The main challenge is the difference between research projects and scientific literature. Research projects are a collection of information in different formats and available in different places. Even projects from the same funding call follow a different structure in most of the cases, despite there were some requirements that they should meet at the end of the funding period. Furthermore, the sources in which the scientific literature is available provide metadata and powerful search tools, meanwhile most of the research projects are not stored in public and accessible databases, or the databases usually do not provide enough information and tools to conduct a systematic search. For this reason, this work provides the guidelines to support systematics reviews of research projects following the method called Systematic Research Projects Review (SRPR). This methodology is based on the Kitchenham’s adaptation of the systematic literature review.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai_6_2_14.pdf
    Tamaño: 429.7Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 6, nº 2, june 2020

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    30
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    22

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Promoting Open Education through Gamification in Higher Education: The OpenGame project 

      García-Holgado, Alicia; García-Peñalvo, Francisco José; de la Higuera, Colin; Teixeira, Antonio; Ehlers, Ulf-Daniel; Brunton, James; Nascimbeni, Fabio (1); Padilla-Zea, Natalia (1); Burgos, Daniel (1) (ACM International Conference Proceeding Series, 2020)
      Open education enables the transformation of higher education institutions to increase access to and quality of education, which is directly connected with the fourth sustainable development goal defined by UNESCO. Despite ...
    • Application of Artificial Intelligence Algorithms Within the Medical Context for Non-Specialized Users: the CARTIER-IA Platform 

      García-Peñalvo, Francisco; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; Sampedro-Gómez, Jesús; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, P. Ignacio; Sánchez, Pedro L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The use of advanced algorithms and models such as Machine Learning, Deep Learning and other related approaches of Artificial Intelligence have grown in their use given their benefits in different contexts. One of these ...
    • Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors 

      García-Peñalvo, Francisco José; Cruz-Benito, Juan; Martín-González, Martín; Vázquez-Ingelmo, Andrea; Sánchez-Prieto, José Carlos; Therón, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      This paper presents an original study with the aim of propose and test a machine learning approach to research about employability and employment. To understand how the graduates get employed, researchers propose to build ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioAutorización TFG-M

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja