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Making sense of big data in health research: Towards an EU action plan

Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that...

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Published in:Genome medicine 2016-06, Vol.8 (1), p.71, Article 71
Main Authors: Auffray, Charles, Balling, Rudi, Barroso, Inês, Bencze, László, Benson, Mikael, Bergeron, Jay, Bernal-Delgado, Enrique, Blomberg, Niklas, Bock, Christoph, Conesa, Ana, Del Signore, Susanna, Delogne, Christophe, Devilee, Peter, Di Meglio, Alberto, Eijkemans, Marinus, Flicek, Paul, Graf, Norbert, Grimm, Vera, Guchelaar, Henk-Jan, Guo, Yi-Ke, Gut, Ivo Glynne, Hanbury, Allan, Hanif, Shahid, Hilgers, Ralf-Dieter, Honrado, Ángel, Hose, D Rod, Houwing-Duistermaat, Jeanine, Hubbard, Tim, Janacek, Sophie Helen, Karanikas, Haralampos, Kievits, Tim, Kohler, Manfred, Kremer, Andreas, Lanfear, Jerry, Lengauer, Thomas, Maes, Edith, Meert, Theo, Müller, Werner, Nickel, Dörthe, Oledzki, Peter, Pedersen, Bertrand, Petkovic, Milan, Pliakos, Konstantinos, Rattray, Magnus, I Màs, Josep Redón, Schneider, Reinhard, Sengstag, Thierry, Serra-Picamal, Xavier, Spek, Wouter, Vaas, Lea A I, van Batenburg, Okker, Vandelaer, Marc, Varnai, Peter, Villoslada, Pablo, Vizcaíno, Juan Antonio, Wubbe, John Peter Mary, Zanetti, Gianluigi
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container_title Genome medicine
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creator Auffray, Charles
Balling, Rudi
Barroso, Inês
Bencze, László
Benson, Mikael
Bergeron, Jay
Bernal-Delgado, Enrique
Blomberg, Niklas
Bock, Christoph
Conesa, Ana
Del Signore, Susanna
Delogne, Christophe
Devilee, Peter
Di Meglio, Alberto
Eijkemans, Marinus
Flicek, Paul
Graf, Norbert
Grimm, Vera
Guchelaar, Henk-Jan
Guo, Yi-Ke
Gut, Ivo Glynne
Hanbury, Allan
Hanif, Shahid
Hilgers, Ralf-Dieter
Honrado, Ángel
Hose, D Rod
Houwing-Duistermaat, Jeanine
Hubbard, Tim
Janacek, Sophie Helen
Karanikas, Haralampos
Kievits, Tim
Kohler, Manfred
Kremer, Andreas
Lanfear, Jerry
Lengauer, Thomas
Maes, Edith
Meert, Theo
Müller, Werner
Nickel, Dörthe
Oledzki, Peter
Pedersen, Bertrand
Petkovic, Milan
Pliakos, Konstantinos
Rattray, Magnus
I Màs, Josep Redón
Schneider, Reinhard
Sengstag, Thierry
Serra-Picamal, Xavier
Spek, Wouter
Vaas, Lea A I
van Batenburg, Okker
Vandelaer, Marc
Varnai, Peter
Villoslada, Pablo
Vizcaíno, Juan Antonio
Wubbe, John Peter Mary
Zanetti, Gianluigi
description Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.
doi_str_mv 10.1186/s13073-016-0323-y
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Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. 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Vera</au><au>Guchelaar, Henk-Jan</au><au>Guo, Yi-Ke</au><au>Gut, Ivo Glynne</au><au>Hanbury, Allan</au><au>Hanif, Shahid</au><au>Hilgers, Ralf-Dieter</au><au>Honrado, Ángel</au><au>Hose, D Rod</au><au>Houwing-Duistermaat, Jeanine</au><au>Hubbard, Tim</au><au>Janacek, Sophie Helen</au><au>Karanikas, Haralampos</au><au>Kievits, Tim</au><au>Kohler, Manfred</au><au>Kremer, Andreas</au><au>Lanfear, Jerry</au><au>Lengauer, Thomas</au><au>Maes, Edith</au><au>Meert, Theo</au><au>Müller, Werner</au><au>Nickel, Dörthe</au><au>Oledzki, Peter</au><au>Pedersen, Bertrand</au><au>Petkovic, Milan</au><au>Pliakos, Konstantinos</au><au>Rattray, Magnus</au><au>I Màs, Josep Redón</au><au>Schneider, Reinhard</au><au>Sengstag, Thierry</au><au>Serra-Picamal, Xavier</au><au>Spek, Wouter</au><au>Vaas, Lea A I</au><au>van Batenburg, Okker</au><au>Vandelaer, Marc</au><au>Varnai, Peter</au><au>Villoslada, Pablo</au><au>Vizcaíno, Juan Antonio</au><au>Wubbe, John Peter Mary</au><au>Zanetti, Gianluigi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Making sense of big data in health research: Towards an EU action plan</atitle><jtitle>Genome medicine</jtitle><addtitle>Genome Med</addtitle><date>2016-06-23</date><risdate>2016</risdate><volume>8</volume><issue>1</issue><spage>71</spage><pages>71-</pages><artnum>71</artnum><issn>1756-994X</issn><eissn>1756-994X</eissn><abstract>Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of "big data" for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27338147</pmid><doi>10.1186/s13073-016-0323-y</doi><oa>free_for_read</oa></addata></record>
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1756-994X
language eng
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source Publicly Available Content (ProQuest); PubMed Central
subjects Analysis
Big data
Biomedical Research - legislation & jurisprudence
Biomedical Research - standards
Databases, Factual - legislation & jurisprudence
Databases, Factual - standards
European Union - organization & administration
Evidence-based medicine
Genomics
Health care reform
Health Plan Implementation
Humans
Information Dissemination - legislation & jurisprudence
Opinion
title Making sense of big data in health research: Towards an EU action plan
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