Research Article A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis José Alberto Benítez, 1 José Emilio Labra, 2 Enedina Quiroga, 3 Vicente Martín, 4 Isaías García, 1 Pilar Marqués-Sánchez, 3 and Carmen Benavides 1 1 Department of Electrical and Systems Engineering, Universidad de Le´ on, Campus de Vegazana, s/n, 24071 Le´ on, Spain 2 Department of Computer Science, Universidad de Oviedo, C/Calvo Sotelo, s/n, 33007 Oviedo, Spain 3 SALBIS Research Group, Facultad de Ciencias de la Salud, Campus de Ponferrada, Avda Astorga, s/n, Ponferrada, 24402 Le´ on, Spain 4 GIGAS Research Group, Facultad de Ciencias de la Salud, Campus de Vegazana, s/n, 24071 Le´ on, Spain Correspondence should be addressed to Jos´ e Alberto Ben´ ıtez; jbena@unileon.es Received 17 February 2017; Accepted 12 April 2017; Published 26 April 2017 Academic Editor: Ernestina Menasalvas Copyright © 2017 Jos´ e Alberto Ben´ ıtez et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Tere is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse risk or personal situation and perception using a number of questionnaires like AUDIT, FAS, KIDSCREEN, and others, it is possible to gain insight into the current situation of a given individual regarding his/her consumption behavior. But this analysis, in order to be achieved, requires the use of tools that can ease the process of questionnaire creation, data gathering, curation and representation, and later analysis and visualization to the user. Tis research presents the design and construction of a web-based platform able to facilitate each of the mentioned processes by integrating the diferent phases into an intuitive system with a graphical user interface that hides the complexity underlying each of the questionnaires and techniques used and presenting the results in a fexible and visual way, avoiding any manual handling of data during the process. Advantages of this approach are shown and compared to the previous situation where some of the tasks were accomplished by time consuming and error prone manipulations of data. 1. Introduction Computing and Information Science play a more and more important role in healthcare studies and applications [1]. A lot of healthcare studies dealing with life habits consist in cross-sectional or epidemiological surveys using a great amount of information gathered from the subjects by means of diferent questionnaires. While information obtained from these studies is very useful for both research and healthcare professionals, the management and analysis of data is many times cumbersome and leads to long and tedious processes carried out by humans, which also implies the possibility of being error prone. Data gathering is usually carried out with online surveys designed and created with well-known free (e.g., Google Docs [2], SurveyMonkey [3]) or commercial solutions. Tese tools provide an easy way of creating and obtaining data from ques- tionnaires, but with a number of drawbacks. First, they are generic tools, not aimed at any specifc domain, though some of them include healthcare oriented templates and provide data protection and security services. Many of them provide simple capabilities for the type of questions to be created and, moreover, they require building each question in the survey from scratch, without the possibility of reusing other questionnaires or parts of them. When obtaining the results, the great majority of tools store data from individual’s answers in the form of plain datasheets making the later processing and visualization of data difcult, especially when dealing with complex questions. Tere is no tool incorporating an integrated set of features as the one developed during this research, which includes functionalities for the creation of Hindawi Computational and Mathematical Methods in Medicine Volume 2017, Article ID 2579848, 8 pages https://doi.org/10.1155/2017/2579848