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Overview of the interactive task in BioCreative V
Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009325/ https://www.ncbi.nlm.nih.gov/pubmed/27589961 http://dx.doi.org/10.1093/database/baw119 |
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author | Wang, Qinghua S. Abdul, Shabbir Almeida, Lara Ananiadou, Sophia Balderas-Martínez, Yalbi I. Batista-Navarro, Riza Campos, David Chilton, Lucy Chou, Hui-Jou Contreras, Gabriela Cooper, Laurel Dai, Hong-Jie Ferrell, Barbra Fluck, Juliane Gama-Castro, Socorro George, Nancy Gkoutos, Georgios Irin, Afroza K. Jensen, Lars J. Jimenez, Silvia Jue, Toni R. Keseler, Ingrid Madan, Sumit Matos, Sérgio McQuilton, Peter Milacic, Marija Mort, Matthew Natarajan, Jeyakumar Pafilis, Evangelos Pereira, Emiliano Rao, Shruti Rinaldi, Fabio Rothfels, Karen Salgado, David Silva, Raquel M. Singh, Onkar Stefancsik, Raymund Su, Chu-Hsien Subramani, Suresh Tadepally, Hamsa D. Tsaprouni, Loukia Vasilevsky, Nicole Wang, Xiaodong Chatr-Aryamontri, Andrew Laulederkind, Stanley J. F. Matis-Mitchell, Sherri McEntyre, Johanna Orchard, Sandra Pundir, Sangya Rodriguez-Esteban, Raul Van Auken, Kimberly Lu, Zhiyong Schaeffer, Mary Wu, Cathy H. Hirschman, Lynette Arighi, Cecilia N. |
author_facet | Wang, Qinghua S. Abdul, Shabbir Almeida, Lara Ananiadou, Sophia Balderas-Martínez, Yalbi I. Batista-Navarro, Riza Campos, David Chilton, Lucy Chou, Hui-Jou Contreras, Gabriela Cooper, Laurel Dai, Hong-Jie Ferrell, Barbra Fluck, Juliane Gama-Castro, Socorro George, Nancy Gkoutos, Georgios Irin, Afroza K. Jensen, Lars J. Jimenez, Silvia Jue, Toni R. Keseler, Ingrid Madan, Sumit Matos, Sérgio McQuilton, Peter Milacic, Marija Mort, Matthew Natarajan, Jeyakumar Pafilis, Evangelos Pereira, Emiliano Rao, Shruti Rinaldi, Fabio Rothfels, Karen Salgado, David Silva, Raquel M. Singh, Onkar Stefancsik, Raymund Su, Chu-Hsien Subramani, Suresh Tadepally, Hamsa D. Tsaprouni, Loukia Vasilevsky, Nicole Wang, Xiaodong Chatr-Aryamontri, Andrew Laulederkind, Stanley J. F. Matis-Mitchell, Sherri McEntyre, Johanna Orchard, Sandra Pundir, Sangya Rodriguez-Esteban, Raul Van Auken, Kimberly Lu, Zhiyong Schaeffer, Mary Wu, Cathy H. Hirschman, Lynette Arighi, Cecilia N. |
author_sort | Wang, Qinghua |
collection | PubMed |
description | Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting development of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the development of the interactive task, from planning to execution and discuss major findings for the systems tested. Database URL: http://www.biocreative.org |
format | Online Article Text |
id | pubmed-5009325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50093252016-09-07 Overview of the interactive task in BioCreative V Wang, Qinghua S. Abdul, Shabbir Almeida, Lara Ananiadou, Sophia Balderas-Martínez, Yalbi I. Batista-Navarro, Riza Campos, David Chilton, Lucy Chou, Hui-Jou Contreras, Gabriela Cooper, Laurel Dai, Hong-Jie Ferrell, Barbra Fluck, Juliane Gama-Castro, Socorro George, Nancy Gkoutos, Georgios Irin, Afroza K. Jensen, Lars J. Jimenez, Silvia Jue, Toni R. Keseler, Ingrid Madan, Sumit Matos, Sérgio McQuilton, Peter Milacic, Marija Mort, Matthew Natarajan, Jeyakumar Pafilis, Evangelos Pereira, Emiliano Rao, Shruti Rinaldi, Fabio Rothfels, Karen Salgado, David Silva, Raquel M. Singh, Onkar Stefancsik, Raymund Su, Chu-Hsien Subramani, Suresh Tadepally, Hamsa D. Tsaprouni, Loukia Vasilevsky, Nicole Wang, Xiaodong Chatr-Aryamontri, Andrew Laulederkind, Stanley J. F. Matis-Mitchell, Sherri McEntyre, Johanna Orchard, Sandra Pundir, Sangya Rodriguez-Esteban, Raul Van Auken, Kimberly Lu, Zhiyong Schaeffer, Mary Wu, Cathy H. Hirschman, Lynette Arighi, Cecilia N. Database (Oxford) Original Article Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting development of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the development of the interactive task, from planning to execution and discuss major findings for the systems tested. Database URL: http://www.biocreative.org Oxford University Press 2016-09-01 /pmc/articles/PMC5009325/ /pubmed/27589961 http://dx.doi.org/10.1093/database/baw119 Text en Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US. |
spellingShingle | Original Article Wang, Qinghua S. Abdul, Shabbir Almeida, Lara Ananiadou, Sophia Balderas-Martínez, Yalbi I. Batista-Navarro, Riza Campos, David Chilton, Lucy Chou, Hui-Jou Contreras, Gabriela Cooper, Laurel Dai, Hong-Jie Ferrell, Barbra Fluck, Juliane Gama-Castro, Socorro George, Nancy Gkoutos, Georgios Irin, Afroza K. Jensen, Lars J. Jimenez, Silvia Jue, Toni R. Keseler, Ingrid Madan, Sumit Matos, Sérgio McQuilton, Peter Milacic, Marija Mort, Matthew Natarajan, Jeyakumar Pafilis, Evangelos Pereira, Emiliano Rao, Shruti Rinaldi, Fabio Rothfels, Karen Salgado, David Silva, Raquel M. Singh, Onkar Stefancsik, Raymund Su, Chu-Hsien Subramani, Suresh Tadepally, Hamsa D. Tsaprouni, Loukia Vasilevsky, Nicole Wang, Xiaodong Chatr-Aryamontri, Andrew Laulederkind, Stanley J. F. Matis-Mitchell, Sherri McEntyre, Johanna Orchard, Sandra Pundir, Sangya Rodriguez-Esteban, Raul Van Auken, Kimberly Lu, Zhiyong Schaeffer, Mary Wu, Cathy H. Hirschman, Lynette Arighi, Cecilia N. Overview of the interactive task in BioCreative V |
title | Overview of the interactive task in BioCreative V |
title_full | Overview of the interactive task in BioCreative V |
title_fullStr | Overview of the interactive task in BioCreative V |
title_full_unstemmed | Overview of the interactive task in BioCreative V |
title_short | Overview of the interactive task in BioCreative V |
title_sort | overview of the interactive task in biocreative v |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009325/ https://www.ncbi.nlm.nih.gov/pubmed/27589961 http://dx.doi.org/10.1093/database/baw119 |
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