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

Charles Auffray; Rudi Balling; Inês Barroso; László Bencze; Mikael Benson; Jay Bergeron; Enrique Bernal-Delgado; Niklas Blomberg; Christoph Bock; Ana Conesa; Susanna Del Signore; Christophe Delogne; Peter Devilee; Alberto Di Meglio; Marinus Eijkemans; Paul Flicek; Norbert Graf; Vera Grimm; Henk Jan Guchelaar; Yi Ke Guo; Ivo Glynne Gut; Allan Hanbury; Shahid Hanif; Ralf Dieter Hilgers; Ángel Honrado; D. Rod Hose; Jeanine Houwing-Duistermaat; Tim Hubbard; Sophie Helen Janacek; Haralampos Karanikas; Tim Kievits; Manfred Kohler; Andreas Kremer; Jerry Lanfear; Thomas Lengauer; Edith Maes; Theo Meert; Werner Müller; Dörthe Nickel; Peter Oledzki; Bertrand Pedersen; Milan Petkovic; Konstantinos Pliakos; Magnus Rattray; Josep Redón i Màs; Reinhard Schneider; Thierry Sengstag; Xavier Serra-Picamal; Wouter Spek; Lea A I Vaas; Okker van Batenburg; Marc Vandelaer; Peter Varnai; Pablo Villoslada; Juan Antonio Vizcaíno; John Peter Mary Wubbe; Gianluigi Zanetti

doi:10.1186/s13073-016-0323-y

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

Charles Auffray^*, Rudi Balling, Inês Barroso, László Bencze, Mikael Benson, Jay Bergeron, Enrique Bernal-Delgado, Niklas Blomberg, Christoph Bock, Ana Conesa, Susanna Del Signore, Christophe Delogne, Peter Devilee, Alberto Di Meglio, Marinus Eijkemans, Paul Flicek, Norbert Graf, Vera Grimm, Henk Jan Guchelaar, Yi Ke GuoIvo Glynne Gut, Allan Hanbury, Shahid Hanif, Ralf Dieter Hilgers, Ángel Honrado, D. Rod Hose, Jeanine Houwing-Duistermaat, Tim Hubbard, Sophie Helen Janacek, Haralampos Karanikas, Tim Kievits, Manfred Kohler, Andreas Kremer, Jerry Lanfear, Thomas Lengauer, Edith Maes, Theo Meert, Werner Müller, Dörthe Nickel, Peter Oledzki, Bertrand Pedersen, Milan Petkovic, Konstantinos Pliakos, Magnus Rattray, Josep Redón i Màs, Reinhard Schneider, Thierry Sengstag, Xavier Serra-Picamal, Wouter Spek, Lea A I Vaas, Okker van Batenburg, Marc Vandelaer, Peter Varnai, Pablo Villoslada, Juan Antonio Vizcaíno, John Peter Mary Wubbe, Gianluigi Zanetti

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Article number	8:71
Journal	Genome Medicine
Volume	8
DOIs	https://doi.org/10.1186/s13073-016-0323-y
Publication status	Published - 23 Jun 2016

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Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J., Bernal-Delgado, E., Blomberg, N., Bock, C., Conesa, A., Del Signore, S., Delogne, C., Devilee, P., Di Meglio, A., Eijkemans, M., Flicek, P., Graf, N., Grimm, V., Guchelaar, H. J., ... Zanetti, G. (2016). Making sense of big data in health research: Towards an EU action plan. Genome Medicine, 8, Article 8:71. https://doi.org/10.1186/s13073-016-0323-y

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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.",

author = "Charles Auffray and Rudi Balling and In{\^e}s Barroso and L{\'a}szl{\'o} Bencze and Mikael Benson and Jay Bergeron and Enrique Bernal-Delgado and Niklas Blomberg and Christoph Bock and Ana Conesa and {Del Signore}, Susanna and Christophe Delogne and Peter Devilee and {Di Meglio}, Alberto and Marinus Eijkemans and Paul Flicek and Norbert Graf and Vera Grimm and Guchelaar, {Henk Jan} and Guo, {Yi Ke} and Gut, {Ivo Glynne} and Allan Hanbury and Shahid Hanif and Hilgers, {Ralf Dieter} and {\'A}ngel Honrado and Hose, {D. Rod} and Jeanine Houwing-Duistermaat and Tim Hubbard and Janacek, {Sophie Helen} and Haralampos Karanikas and Tim Kievits and Manfred Kohler and Andreas Kremer and Jerry Lanfear and Thomas Lengauer and Edith Maes and Theo Meert and Werner M{\"u}ller and D{\"o}rthe Nickel and Peter Oledzki and Bertrand Pedersen and Milan Petkovic and Konstantinos Pliakos and Magnus Rattray and {i M{\`a}s}, {Josep Red{\'o}n} and Reinhard Schneider and Thierry Sengstag and Xavier Serra-Picamal and Wouter Spek and Vaas, {Lea A I} and {van Batenburg}, Okker and Marc Vandelaer and Peter Varnai and Pablo Villoslada and Vizca{\'i}no, {Juan Antonio} and Wubbe, {John Peter Mary} and Gianluigi Zanetti",

year = "2016",

month = jun,

day = "23",

doi = "10.1186/s13073-016-0323-y",

language = "English",

volume = "8",

journal = "Genome Medicine",

issn = "1756-994x",

publisher = "BioMed Central",

}

Auffray, C, Balling, R, Barroso, I, Bencze, L, Benson, M, Bergeron, J, Bernal-Delgado, E, Blomberg, N, Bock, C, Conesa, A, Del Signore, S, Delogne, C, Devilee, P, Di Meglio, A, Eijkemans, M, Flicek, P, Graf, N, Grimm, V, Guchelaar, HJ, Guo, YK, Gut, IG, Hanbury, A, Hanif, S, Hilgers, RD, Honrado, Á, Hose, DR, Houwing-Duistermaat, J, Hubbard, T, Janacek, SH, Karanikas, H, Kievits, T, Kohler, M, Kremer, A, Lanfear, J, Lengauer, T, Maes, E, Meert, T, Müller, W, Nickel, D, Oledzki, P, Pedersen, B, Petkovic, M, Pliakos, K, Rattray, M, i Màs, JR, Schneider, R, Sengstag, T, Serra-Picamal, X, Spek, W, Vaas, LAI, van Batenburg, O, Vandelaer, M, Varnai, P, Villoslada, P, Vizcaíno, JA, Wubbe, JPM & Zanetti, G 2016, 'Making sense of big data in health research: Towards an EU action plan', Genome Medicine, vol. 8, 8:71. https://doi.org/10.1186/s13073-016-0323-y

TY - JOUR

T1 - Making sense of big data in health research

T2 - Towards an EU action plan

AU - Auffray, Charles

AU - Balling, Rudi

AU - Barroso, Inês

AU - Bencze, László

AU - Benson, Mikael

AU - Bergeron, Jay

AU - Bernal-Delgado, Enrique

AU - Blomberg, Niklas

AU - Bock, Christoph

AU - Conesa, Ana

AU - Del Signore, Susanna

AU - Delogne, Christophe

AU - Devilee, Peter

AU - Di Meglio, Alberto

AU - Eijkemans, Marinus

AU - Flicek, Paul

AU - Graf, Norbert

AU - Grimm, Vera

AU - Guchelaar, Henk Jan

AU - Guo, Yi Ke

AU - Gut, Ivo Glynne

AU - Hanbury, Allan

AU - Hanif, Shahid

AU - Hilgers, Ralf Dieter

AU - Honrado, Ángel

AU - Hose, D. Rod

AU - Houwing-Duistermaat, Jeanine

AU - Hubbard, Tim

AU - Janacek, Sophie Helen

AU - Karanikas, Haralampos

AU - Kievits, Tim

AU - Kohler, Manfred

AU - Kremer, Andreas

AU - Lanfear, Jerry

AU - Lengauer, Thomas

AU - Maes, Edith

AU - Meert, Theo

AU - Müller, Werner

AU - Nickel, Dörthe

AU - Oledzki, Peter

AU - Pedersen, Bertrand

AU - Petkovic, Milan

AU - Pliakos, Konstantinos

AU - Rattray, Magnus

AU - i Màs, Josep Redón

AU - Schneider, Reinhard

AU - Sengstag, Thierry

AU - Serra-Picamal, Xavier

AU - Spek, Wouter

AU - Vaas, Lea A I

AU - van Batenburg, Okker

AU - Vandelaer, Marc

AU - Varnai, Peter

AU - Villoslada, Pablo

AU - Vizcaíno, Juan Antonio

AU - Wubbe, John Peter Mary

AU - Zanetti, Gianluigi

PY - 2016/6/23

Y1 - 2016/6/23

N2 - 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.

AB - 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.

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U2 - 10.1186/s13073-016-0323-y

DO - 10.1186/s13073-016-0323-y

M3 - Article

C2 - 27338147

AN - SCOPUS:84978027766

SN - 1756-994x

VL - 8

JO - Genome Medicine

JF - Genome Medicine

M1 - 8:71

ER -

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

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