Clinical Trial Information Mediator
[Display omitted] •Tool that bridges the gap between different domains.•Clinical trial centred search with simplified access and reduced search time.•Intuitive and can be used by researchers without prior training.•Access multiple data sources via one graphical interface. For research in biomedical...
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Veröffentlicht in: | Journal of biomedical informatics 2016-10, Vol.63, p.157-168 |
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container_title | Journal of biomedical informatics |
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creator | Krauth, Christian Kuchinke, Wolfgang Eckert, Martin Bergmann, Rene Braasch, Benjamin Karakoyun, Töresin Ohmann, Christian |
description | [Display omitted]
•Tool that bridges the gap between different domains.•Clinical trial centred search with simplified access and reduced search time.•Intuitive and can be used by researchers without prior training.•Access multiple data sources via one graphical interface.
For research in biomedical sciences, cross-domain searches through several different databases are an increasingly necessary task that often becomes a time consuming and labour-intense process. This is especially the case when different domain databases have to be combined, for example combined searches in clinical trials registries, publication databases and research databases. The Clinical Trial Information Mediator (CTIM) addresses this problem and offers a novel way for the combined search in ClinicalTrials.gov, PubMed and BioSamples.
CTIM was developed based on a requirements analysis and implemented using open source technology. A search engine with a graphical user interface was developed in order to search linked data in the three databases ClinicalTrials.gov, PubMed and BioSamples; thereby enabling CTIM to bridge the gap between different knowledge domains of clinical trials, publications of research results and biosamples/genetic information. CTIM was applied in three use cases demonstrating that information retrieval could be considerably improved in sense for complex queries. These use cases show that more relevant results were obtained and more associated publications and biosamples could be retrieved in comparison to a separate single search.
Main advantages of CTIM are identifying related information between clinical trials and publications employing a clinical trial centred kind of search, simplified access to its databases and thus reduced search time. In addition it can be used by researchers without prior training because of the intuitive usage. |
doi_str_mv | 10.1016/j.jbi.2016.08.012 |
format | Article |
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•Tool that bridges the gap between different domains.•Clinical trial centred search with simplified access and reduced search time.•Intuitive and can be used by researchers without prior training.•Access multiple data sources via one graphical interface.
For research in biomedical sciences, cross-domain searches through several different databases are an increasingly necessary task that often becomes a time consuming and labour-intense process. This is especially the case when different domain databases have to be combined, for example combined searches in clinical trials registries, publication databases and research databases. The Clinical Trial Information Mediator (CTIM) addresses this problem and offers a novel way for the combined search in ClinicalTrials.gov, PubMed and BioSamples.
CTIM was developed based on a requirements analysis and implemented using open source technology. A search engine with a graphical user interface was developed in order to search linked data in the three databases ClinicalTrials.gov, PubMed and BioSamples; thereby enabling CTIM to bridge the gap between different knowledge domains of clinical trials, publications of research results and biosamples/genetic information. CTIM was applied in three use cases demonstrating that information retrieval could be considerably improved in sense for complex queries. These use cases show that more relevant results were obtained and more associated publications and biosamples could be retrieved in comparison to a separate single search.
Main advantages of CTIM are identifying related information between clinical trials and publications employing a clinical trial centred kind of search, simplified access to its databases and thus reduced search time. In addition it can be used by researchers without prior training because of the intuitive usage.</description><identifier>ISSN: 1532-0464</identifier><identifier>EISSN: 1532-0480</identifier><identifier>DOI: 10.1016/j.jbi.2016.08.012</identifier><identifier>PMID: 27515925</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>BioMedBridges ; BioSample ; Clinical Trial Information Mediator (CTIM) ; Clinical Trials as Topic ; ClinicalTrials.gov ; Databases, Factual ; Documents ; Genetics ; Humans ; Information Storage and Retrieval ; Integration ; Medical research ; PubMed ; Queries ; Registries ; Requirements analysis ; Search Engine ; Searching ; Tasks</subject><ispartof>Journal of biomedical informatics, 2016-10, Vol.63, p.157-168</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-994b8144dcf084f605f9928f5bfcda34b952305a4303ba86753bf1f102fd9e183</citedby><cites>FETCH-LOGICAL-c419t-994b8144dcf084f605f9928f5bfcda34b952305a4303ba86753bf1f102fd9e183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jbi.2016.08.012$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27515925$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krauth, Christian</creatorcontrib><creatorcontrib>Kuchinke, Wolfgang</creatorcontrib><creatorcontrib>Eckert, Martin</creatorcontrib><creatorcontrib>Bergmann, Rene</creatorcontrib><creatorcontrib>Braasch, Benjamin</creatorcontrib><creatorcontrib>Karakoyun, Töresin</creatorcontrib><creatorcontrib>Ohmann, Christian</creatorcontrib><title>Clinical Trial Information Mediator</title><title>Journal of biomedical informatics</title><addtitle>J Biomed Inform</addtitle><description>[Display omitted]
•Tool that bridges the gap between different domains.•Clinical trial centred search with simplified access and reduced search time.•Intuitive and can be used by researchers without prior training.•Access multiple data sources via one graphical interface.
For research in biomedical sciences, cross-domain searches through several different databases are an increasingly necessary task that often becomes a time consuming and labour-intense process. This is especially the case when different domain databases have to be combined, for example combined searches in clinical trials registries, publication databases and research databases. The Clinical Trial Information Mediator (CTIM) addresses this problem and offers a novel way for the combined search in ClinicalTrials.gov, PubMed and BioSamples.
CTIM was developed based on a requirements analysis and implemented using open source technology. A search engine with a graphical user interface was developed in order to search linked data in the three databases ClinicalTrials.gov, PubMed and BioSamples; thereby enabling CTIM to bridge the gap between different knowledge domains of clinical trials, publications of research results and biosamples/genetic information. CTIM was applied in three use cases demonstrating that information retrieval could be considerably improved in sense for complex queries. These use cases show that more relevant results were obtained and more associated publications and biosamples could be retrieved in comparison to a separate single search.
Main advantages of CTIM are identifying related information between clinical trials and publications employing a clinical trial centred kind of search, simplified access to its databases and thus reduced search time. In addition it can be used by researchers without prior training because of the intuitive usage.</description><subject>BioMedBridges</subject><subject>BioSample</subject><subject>Clinical Trial Information Mediator (CTIM)</subject><subject>Clinical Trials as Topic</subject><subject>ClinicalTrials.gov</subject><subject>Databases, Factual</subject><subject>Documents</subject><subject>Genetics</subject><subject>Humans</subject><subject>Information Storage and Retrieval</subject><subject>Integration</subject><subject>Medical research</subject><subject>PubMed</subject><subject>Queries</subject><subject>Registries</subject><subject>Requirements analysis</subject><subject>Search Engine</subject><subject>Searching</subject><subject>Tasks</subject><issn>1532-0464</issn><issn>1532-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkEtLAzEUhYMotlZ_gBspuHEzY24eMwmupPgoVNzUdchkEsgwj5pMBf-9KdUupZtz7-I7Z_EhdA04BwzFfZM3lc9JenMscgzkBE2BU5JhJvDp4S_YBF3E2GAMwHlxjiak5MAl4VN0u2h9741u5-vgUy57N4ROj37o52-29nocwiU6c7qN9ur3ztDH89N68Zqt3l-Wi8dVZhjIMZOSVQIYq43DgrkCcyclEY5XztSaskpyQjHXjGJaaVGUnFYOHGDiamlB0Bm62-9uwvC5tXFUnY_Gtq3u7bCNCgTntCgF4CNQWlIQQOAYlFNZpkgo7FEThhiDdWoTfKfDtwKsdsZVo5JxtTOusFDJeOrc_M5vq87Wh8af4gQ87AGb1H15G1Q03vYmyQ3WjKoe_D_zP9r5jXQ</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Krauth, Christian</creator><creator>Kuchinke, Wolfgang</creator><creator>Eckert, Martin</creator><creator>Bergmann, Rene</creator><creator>Braasch, Benjamin</creator><creator>Karakoyun, Töresin</creator><creator>Ohmann, Christian</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201610</creationdate><title>Clinical Trial Information Mediator</title><author>Krauth, Christian ; Kuchinke, Wolfgang ; Eckert, Martin ; Bergmann, Rene ; Braasch, Benjamin ; Karakoyun, Töresin ; Ohmann, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-994b8144dcf084f605f9928f5bfcda34b952305a4303ba86753bf1f102fd9e183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>BioMedBridges</topic><topic>BioSample</topic><topic>Clinical Trial Information Mediator (CTIM)</topic><topic>Clinical Trials as Topic</topic><topic>ClinicalTrials.gov</topic><topic>Databases, Factual</topic><topic>Documents</topic><topic>Genetics</topic><topic>Humans</topic><topic>Information Storage and Retrieval</topic><topic>Integration</topic><topic>Medical research</topic><topic>PubMed</topic><topic>Queries</topic><topic>Registries</topic><topic>Requirements analysis</topic><topic>Search Engine</topic><topic>Searching</topic><topic>Tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krauth, Christian</creatorcontrib><creatorcontrib>Kuchinke, Wolfgang</creatorcontrib><creatorcontrib>Eckert, Martin</creatorcontrib><creatorcontrib>Bergmann, Rene</creatorcontrib><creatorcontrib>Braasch, Benjamin</creatorcontrib><creatorcontrib>Karakoyun, Töresin</creatorcontrib><creatorcontrib>Ohmann, Christian</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of biomedical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krauth, Christian</au><au>Kuchinke, Wolfgang</au><au>Eckert, Martin</au><au>Bergmann, Rene</au><au>Braasch, Benjamin</au><au>Karakoyun, Töresin</au><au>Ohmann, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Trial Information Mediator</atitle><jtitle>Journal of biomedical informatics</jtitle><addtitle>J Biomed Inform</addtitle><date>2016-10</date><risdate>2016</risdate><volume>63</volume><spage>157</spage><epage>168</epage><pages>157-168</pages><issn>1532-0464</issn><eissn>1532-0480</eissn><abstract>[Display omitted]
•Tool that bridges the gap between different domains.•Clinical trial centred search with simplified access and reduced search time.•Intuitive and can be used by researchers without prior training.•Access multiple data sources via one graphical interface.
For research in biomedical sciences, cross-domain searches through several different databases are an increasingly necessary task that often becomes a time consuming and labour-intense process. This is especially the case when different domain databases have to be combined, for example combined searches in clinical trials registries, publication databases and research databases. The Clinical Trial Information Mediator (CTIM) addresses this problem and offers a novel way for the combined search in ClinicalTrials.gov, PubMed and BioSamples.
CTIM was developed based on a requirements analysis and implemented using open source technology. A search engine with a graphical user interface was developed in order to search linked data in the three databases ClinicalTrials.gov, PubMed and BioSamples; thereby enabling CTIM to bridge the gap between different knowledge domains of clinical trials, publications of research results and biosamples/genetic information. CTIM was applied in three use cases demonstrating that information retrieval could be considerably improved in sense for complex queries. These use cases show that more relevant results were obtained and more associated publications and biosamples could be retrieved in comparison to a separate single search.
Main advantages of CTIM are identifying related information between clinical trials and publications employing a clinical trial centred kind of search, simplified access to its databases and thus reduced search time. In addition it can be used by researchers without prior training because of the intuitive usage.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27515925</pmid><doi>10.1016/j.jbi.2016.08.012</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | BioMedBridges BioSample Clinical Trial Information Mediator (CTIM) Clinical Trials as Topic ClinicalTrials.gov Databases, Factual Documents Genetics Humans Information Storage and Retrieval Integration Medical research PubMed Queries Registries Requirements analysis Search Engine Searching Tasks |
title | Clinical Trial Information Mediator |
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