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User needs analysis and usability assessment of DataMed – a biomedical data discovery index
OBJECTIVE: To present user needs and usability evaluations of DataMed, a Data Discovery Index (DDI) that allows searching for biomedical data from multiple sources. MATERIALS AND METHODS: We conducted 2 phases of user studies. Phase 1 was a user needs analysis conducted before the development of Dat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378884/ https://www.ncbi.nlm.nih.gov/pubmed/29202203 http://dx.doi.org/10.1093/jamia/ocx134 |
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author | Dixit, Ram Rogith, Deevakar Narayana, Vidya Salimi, Mandana Gururaj, Anupama Ohno-Machado, Lucila Xu, Hua Johnson, Todd R |
author_facet | Dixit, Ram Rogith, Deevakar Narayana, Vidya Salimi, Mandana Gururaj, Anupama Ohno-Machado, Lucila Xu, Hua Johnson, Todd R |
author_sort | Dixit, Ram |
collection | PubMed |
description | OBJECTIVE: To present user needs and usability evaluations of DataMed, a Data Discovery Index (DDI) that allows searching for biomedical data from multiple sources. MATERIALS AND METHODS: We conducted 2 phases of user studies. Phase 1 was a user needs analysis conducted before the development of DataMed, consisting of interviews with researchers. Phase 2 involved iterative usability evaluations of DataMed prototypes. We analyzed data qualitatively to document researchers’ information and user interface needs. RESULTS: Biomedical researchers’ information needs in data discovery are complex, multidimensional, and shaped by their context, domain knowledge, and technical experience. User needs analyses validate the need for a DDI, while usability evaluations of DataMed show that even though aggregating metadata into a common search engine and applying traditional information retrieval tools are promising first steps, there remain challenges for DataMed due to incomplete metadata and the complexity of data discovery. DISCUSSION: Biomedical data poses distinct problems for search when compared to websites or publications. Making data available is not enough to facilitate biomedical data discovery: new retrieval techniques and user interfaces are necessary for dataset exploration. Consistent, complete, and high-quality metadata are vital to enable this process. CONCLUSION: While available data and researchers’ information needs are complex and heterogeneous, a successful DDI must meet those needs and fit into the processes of biomedical researchers. Research directions include formalizing researchers’ information needs, standardizing overviews of data to facilitate relevance judgments, implementing user interfaces for concept-based searching, and developing evaluation methods for open-ended discovery systems such as DDIs. |
format | Online Article Text |
id | pubmed-7378884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73788842020-07-29 User needs analysis and usability assessment of DataMed – a biomedical data discovery index Dixit, Ram Rogith, Deevakar Narayana, Vidya Salimi, Mandana Gururaj, Anupama Ohno-Machado, Lucila Xu, Hua Johnson, Todd R J Am Med Inform Assoc Research and Applications OBJECTIVE: To present user needs and usability evaluations of DataMed, a Data Discovery Index (DDI) that allows searching for biomedical data from multiple sources. MATERIALS AND METHODS: We conducted 2 phases of user studies. Phase 1 was a user needs analysis conducted before the development of DataMed, consisting of interviews with researchers. Phase 2 involved iterative usability evaluations of DataMed prototypes. We analyzed data qualitatively to document researchers’ information and user interface needs. RESULTS: Biomedical researchers’ information needs in data discovery are complex, multidimensional, and shaped by their context, domain knowledge, and technical experience. User needs analyses validate the need for a DDI, while usability evaluations of DataMed show that even though aggregating metadata into a common search engine and applying traditional information retrieval tools are promising first steps, there remain challenges for DataMed due to incomplete metadata and the complexity of data discovery. DISCUSSION: Biomedical data poses distinct problems for search when compared to websites or publications. Making data available is not enough to facilitate biomedical data discovery: new retrieval techniques and user interfaces are necessary for dataset exploration. Consistent, complete, and high-quality metadata are vital to enable this process. CONCLUSION: While available data and researchers’ information needs are complex and heterogeneous, a successful DDI must meet those needs and fit into the processes of biomedical researchers. Research directions include formalizing researchers’ information needs, standardizing overviews of data to facilitate relevance judgments, implementing user interfaces for concept-based searching, and developing evaluation methods for open-ended discovery systems such as DDIs. Oxford University Press 2017-11-30 /pmc/articles/PMC7378884/ /pubmed/29202203 http://dx.doi.org/10.1093/jamia/ocx134 Text en © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research and Applications Dixit, Ram Rogith, Deevakar Narayana, Vidya Salimi, Mandana Gururaj, Anupama Ohno-Machado, Lucila Xu, Hua Johnson, Todd R User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title | User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title_full | User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title_fullStr | User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title_full_unstemmed | User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title_short | User needs analysis and usability assessment of DataMed – a biomedical data discovery index |
title_sort | user needs analysis and usability assessment of datamed – a biomedical data discovery index |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7378884/ https://www.ncbi.nlm.nih.gov/pubmed/29202203 http://dx.doi.org/10.1093/jamia/ocx134 |
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