Methods for structuring scientific knowledge from many areas related to aging research
Aging and age-related disease represents a substantial quantity of current natural, social and behavioral science research efforts. Presently, no centralized system exists for tracking aging research projects across numerous research disciplines. The multidisciplinary nature of this research complic...
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description | Aging and age-related disease represents a substantial quantity of current natural, social and behavioral science research efforts. Presently, no centralized system exists for tracking aging research projects across numerous research disciplines. The multidisciplinary nature of this research complicates the understanding of underlying project categories, the establishment of project relations, and the development of a unified project classification scheme. We have developed a highly visual database, the International Aging Research Portfolio (IARP), available at AgingPortfolio.org to address this issue. The database integrates information on research grants, peer-reviewed publications, and issued patent applications from multiple sources. Additionally, the database uses flexible project classification mechanisms and tools for analyzing project associations and trends. This system enables scientists to search the centralized project database, to classify and categorize aging projects, and to analyze the funding aspects across multiple research disciplines. The IARP is designed to provide improved allocation and prioritization of scarce research funding, to reduce project overlap and improve scientific collaboration thereby accelerating scientific and medical progress in a rapidly growing area of research. Grant applications often precede publications and some grants do not result in publications, thus, this system provides utility to investigate an earlier and broader view on research activity in many research disciplines. This project is a first attempt to provide a centralized database system for research grants and to categorize aging research projects into multiple subcategories utilizing both advanced machine algorithms and a hierarchical environment for scientific collaboration. |
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Presently, no centralized system exists for tracking aging research projects across numerous research disciplines. The multidisciplinary nature of this research complicates the understanding of underlying project categories, the establishment of project relations, and the development of a unified project classification scheme. We have developed a highly visual database, the International Aging Research Portfolio (IARP), available at AgingPortfolio.org to address this issue. The database integrates information on research grants, peer-reviewed publications, and issued patent applications from multiple sources. Additionally, the database uses flexible project classification mechanisms and tools for analyzing project associations and trends. This system enables scientists to search the centralized project database, to classify and categorize aging projects, and to analyze the funding aspects across multiple research disciplines. 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This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Zhavoronkov, Cantor. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-e903fd3284ba3423b769121219248a23fd2a805fd42687c2b128c2e5922f60c73</citedby><cites>FETCH-LOGICAL-c691t-e903fd3284ba3423b769121219248a23fd2a805fd42687c2b128c2e5922f60c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142169/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142169/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21799912$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Peccoud, Jean</contributor><creatorcontrib>Zhavoronkov, Alex</creatorcontrib><creatorcontrib>Cantor, Charles R</creatorcontrib><title>Methods for structuring scientific knowledge from many areas related to aging research</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Aging and age-related disease represents a substantial quantity of current natural, social and behavioral science research efforts. Presently, no centralized system exists for tracking aging research projects across numerous research disciplines. The multidisciplinary nature of this research complicates the understanding of underlying project categories, the establishment of project relations, and the development of a unified project classification scheme. We have developed a highly visual database, the International Aging Research Portfolio (IARP), available at AgingPortfolio.org to address this issue. The database integrates information on research grants, peer-reviewed publications, and issued patent applications from multiple sources. Additionally, the database uses flexible project classification mechanisms and tools for analyzing project associations and trends. This system enables scientists to search the centralized project database, to classify and categorize aging projects, and to analyze the funding aspects across multiple research disciplines. The IARP is designed to provide improved allocation and prioritization of scarce research funding, to reduce project overlap and improve scientific collaboration thereby accelerating scientific and medical progress in a rapidly growing area of research. Grant applications often precede publications and some grants do not result in publications, thus, this system provides utility to investigate an earlier and broader view on research activity in many research disciplines. This project is a first attempt to provide a centralized database system for research grants and to categorize aging research projects into multiple subcategories utilizing both advanced machine algorithms and a hierarchical environment for scientific collaboration.</description><subject>Access to information</subject><subject>Age</subject><subject>Aging</subject><subject>Aging (natural)</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Caenorhabditis elegans</subject><subject>Cancer</subject><subject>Classification</subject><subject>Clinical trials</subject><subject>Collaboration</subject><subject>Computer Science</subject><subject>Cooperation</subject><subject>Cooperative Behavior</subject><subject>Data base management systems</subject><subject>Data bases</subject><subject>Databases, Factual</subject><subject>Disease</subject><subject>DNA repair</subject><subject>Documents</subject><subject>Epigenetics</subject><subject>Funding</subject><subject>Grants</subject><subject>Interdisciplinary aspects</subject><subject>Internet</subject><subject>Knowledge</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Nematodes</subject><subject>Neurodegeneration</subject><subject>Nonprofit organizations</subject><subject>Patent applications</subject><subject>Peer Review</subject><subject>R&D</subject><subject>Research & development</subject><subject>Research - statistics & numerical data</subject><subject>Research projects</subject><subject>Researchers</subject><subject>Reviews</subject><subject>Science - statistics & numerical data</subject><subject>Search engines</subject><subject>Senescence</subject><subject>Social and Behavioral Sciences</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkktv1DAUhSMEoqXwDxBEQgKxmMGvceINUlXxGKmoEo9uLY9znfHgxIPt0Pbf42HSaoK6QHcR6_o7x871KYrnGM0xrfC7jR9Cr9x863uYI0TIQlQPimMsKJlxgujDg_VR8STGDUILWnP-uDgiuBJCYHJcXH6BtPZNLI0PZUxh0GkItm_LqC30yRqry5-9v3LQtFCa4LuyU_1NqQKoWAZwKkFTJl-qdqcKEEEFvX5aPDLKRXg2fk-KHx8_fD_7PDu_-LQ8Oz2faS5wmoFA1DSU1GylKCN0VeU2ySUIqxXJe0TVaGEaRnhdabLCpNYEFoIQw5Gu6Enxcu-7dT7KcSRRYoo4YRUVPBPLPdF4tZHbYDsVbqRXVv5t-NBKFZLVDqQhlK74gpnGCJbvlItXwoBmCnQlIHu9H08bVh00Og8oKDcxne70di1b_1tSzAjmIhu8GQ2C_zVATLKzUYNzqgc_RFnXCDOEMMnkq3_I-39upFqV72974_OxeucpT1nF65plv0zN76FyNdBZneNjbO5PBG8ngswkuE6tGmKUy29f_5-9uJyyrw_YNSiX1tG7IVnfxynI9qAOPsYA5m7GGMld-m-nIXfpl2P6s-zF4fvciW7jTv8AYgn-cA</recordid><startdate>20110722</startdate><enddate>20110722</enddate><creator>Zhavoronkov, Alex</creator><creator>Cantor, Charles R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110722</creationdate><title>Methods for structuring scientific knowledge from many areas related to aging research</title><author>Zhavoronkov, Alex ; Cantor, Charles R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-e903fd3284ba3423b769121219248a23fd2a805fd42687c2b128c2e5922f60c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Access to information</topic><topic>Age</topic><topic>Aging</topic><topic>Aging (natural)</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Caenorhabditis elegans</topic><topic>Cancer</topic><topic>Classification</topic><topic>Clinical trials</topic><topic>Collaboration</topic><topic>Computer Science</topic><topic>Cooperation</topic><topic>Cooperative Behavior</topic><topic>Data base management systems</topic><topic>Data bases</topic><topic>Databases, Factual</topic><topic>Disease</topic><topic>DNA repair</topic><topic>Documents</topic><topic>Epigenetics</topic><topic>Funding</topic><topic>Grants</topic><topic>Interdisciplinary aspects</topic><topic>Internet</topic><topic>Knowledge</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Nematodes</topic><topic>Neurodegeneration</topic><topic>Nonprofit organizations</topic><topic>Patent applications</topic><topic>Peer Review</topic><topic>R&D</topic><topic>Research & development</topic><topic>Research - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhavoronkov, Alex</au><au>Cantor, Charles R</au><au>Peccoud, Jean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methods for structuring scientific knowledge from many areas related to aging research</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-07-22</date><risdate>2011</risdate><volume>6</volume><issue>7</issue><spage>e22597</spage><epage>e22597</epage><pages>e22597-e22597</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Aging and age-related disease represents a substantial quantity of current natural, social and behavioral science research efforts. Presently, no centralized system exists for tracking aging research projects across numerous research disciplines. The multidisciplinary nature of this research complicates the understanding of underlying project categories, the establishment of project relations, and the development of a unified project classification scheme. We have developed a highly visual database, the International Aging Research Portfolio (IARP), available at AgingPortfolio.org to address this issue. The database integrates information on research grants, peer-reviewed publications, and issued patent applications from multiple sources. Additionally, the database uses flexible project classification mechanisms and tools for analyzing project associations and trends. This system enables scientists to search the centralized project database, to classify and categorize aging projects, and to analyze the funding aspects across multiple research disciplines. The IARP is designed to provide improved allocation and prioritization of scarce research funding, to reduce project overlap and improve scientific collaboration thereby accelerating scientific and medical progress in a rapidly growing area of research. Grant applications often precede publications and some grants do not result in publications, thus, this system provides utility to investigate an earlier and broader view on research activity in many research disciplines. This project is a first attempt to provide a centralized database system for research grants and to categorize aging research projects into multiple subcategories utilizing both advanced machine algorithms and a hierarchical environment for scientific collaboration.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21799912</pmid><doi>10.1371/journal.pone.0022597</doi><tpages>e22597</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Access to information Age Aging Aging (natural) Algorithms Analysis Biology Biomarkers Caenorhabditis elegans Cancer Classification Clinical trials Collaboration Computer Science Cooperation Cooperative Behavior Data base management systems Data bases Databases, Factual Disease DNA repair Documents Epigenetics Funding Grants Interdisciplinary aspects Internet Knowledge Medical research Medicine Nematodes Neurodegeneration Nonprofit organizations Patent applications Peer Review R&D Research & development Research - statistics & numerical data Research projects Researchers Reviews Science - statistics & numerical data Search engines Senescence Social and Behavioral Sciences |
title | Methods for structuring scientific knowledge from many areas related to aging research |
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