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Dani, A.; Chatzopoulou, C.; Siatri, R.; Mystakopoulos, F.; Antonopoulou, S.; Katrinaki, E.; Garoufallou, E.: Digital libraries evaluation : measuring Europeana's usability (2015)
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- Abstract
- Europeana is an international trusted digital initiative providing access, from a single entry point, to prized collections from a number of European cultural institutions. Advanced Internet and digital technologies present new ways to connect with users; and there is a need continued evaluation of digital libraries. This paper reports on a task oriented, usability study exploring a number of aspects including user satisfaction specific to the Europeana Digital Library. Participants were students from Library Science and Information Systems department, who had some basic experience searching digital collections for information. Participants performed 13 tasks, and focused on the Hellenistic collection. Methodologically, the test was consisted of a list of tasks that among others aimed to assess user satisfaction and interest while performing them. The method applied was measuring Effectiveness, Efficiency, Learnability and Satisfaction. Despite the fact that it was not the first time that they came in contact with a digital library, several participants had difficulties while performing selected tasks, especially when they involved a variety of search types. In general, all of the participants seemed to comprehend how Europeana is organized, although the results also indicate that participants had feelings that expectations were not met when performing more complex tasks.
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Rousidis, D.; Garoufallou, E.; Balatsoukas, P.; Sicilia, M.-A.: Evaluation of metadata in research data repositories : the case of the DC.Subject Element (2015)
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- Abstract
- Research Data repositories are growing in terms of volume rapidly and exponentially. Their main goal is to provide scientists the essential mechanism to store, share, and re-use datasets generated at various stages of the research process. Despite the fact that metadata play an important role for research data management in the context of these repositories, several factors - such as the big volume of data and its complex lifecycles, as well as operational constraints related to financial resources and human factors - may impede the effectiveness of several metadata elements. The aim of the research reported in this paper was to perform a descriptive analysis of the DC.Subject metadata element and to identify its data quality problems in the context of the Dryad research data repository. In order to address this aim a total of 4.557 packages and 13.638 data files were analysed following a data-preprocessing method. The findings showed emerging trends about the subject coverage of the repository (e.g. the most popular subjects and the authors that contributed the most for these subjects). Also, quality problems related to the lack of controlled vocabulary and standardisation were very common. This study has implications for the evaluation of metadata and the improvement of the quality of the research data annotation process.
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Gaitanou, P.; Garoufallou, E.; Balatsoukas, P.: ¬The effectiveness of big data in health care : a systematic review (2014)
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- Abstract
- There is a consensus among scientists that the analysis of Big Data in health care (such as electronic health records, patient reported outcomes or in-motion data) can improve clinical research and the quality of care provided to patients. Yet there is little knowledge about the actual effectiveness of Big Data in the health care sector. The aim of this study was to perform a systematic review of the literature in order to determine the extent to which Big Data applications in health care systems have managed to improve patient experiences and clinicians' behavior as well as the quality of care provided to patients. All searches for relevant articles were performed in the PubMed database. From the 108 potentially relevant articles 12 satisfied the inclusion criteria for this study. The findings showed that in the case of nine articles the researchers reported positive effect of Big Data. However, some negative results were recorded in the case of three articles. The main benefits of Big Data application involved positive behavior change, improved usability and efficient decision support. However, problems were identified for technology acceptance. Most problems occurred in the case of systems processing heterogeneous datasets, patient reported outcomes and in motion data, as opposed to electronic health record systems. The paper concludes by highlighting some areas of investigation where further research is needed to understand the use of Big Data in health care and improve its effectiveness.
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Vassilakaki, E.; Garoufallou, E.; Johnson, F.; Hartley, R.J.: ¬An exploration of users' needs for multilingual information retrieval and access (2015)
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