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理解健康研究中的大数据:迈向欧盟行动计划。

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

作者信息

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

机构信息

European Institute for Systems Biology and Medicine, 1 avenue Claude Vellefaux, 75010, Paris, France.

CIRI-UMR5308, CNRS-ENS-INSERM-UCBL, Université de Lyon, 50 avenue Tony Garnier, 69007, Lyon, France.

出版信息

Genome Med. 2016 Jun 23;8(1):71. doi: 10.1186/s13073-016-0323-y.

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.

摘要

医学和医疗保健正在经历深刻变革。全基因组测序和高分辨率成像技术是这一迅速且关键转变的主要推动因素。技术创新与自动化及小型化相结合,引发了数据量的爆炸式增长,其规模很快将达到艾字节级别。我们将如何应对这种呈指数级增长的数据量呢?“大数据”改善健康状况的潜力巨大,但与此同时,我们也面临着一系列亟待克服的挑战。欧洲为其文化多样性深感自豪;然而,通过基因组医学、成像技术以及众多移动健康应用程序或联网设备所产生的数据的利用,却受到诸多历史、技术、法律和政治障碍的阻碍。欧洲的卫生系统和数据库各不相同且分散。在数据格式、处理、分析及数据传输方面缺乏协调统一,这导致了不兼容性和机会的丧失。数据共享的法律框架正在不断发展。临床医生、研究人员和公民需要更完善的方法、工具和培训,以便有效地生成、分析和查询数据。克服这些障碍将有助于创建欧洲健康单一市场,从而改善所有欧洲人的健康状况和医疗保健水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79f/4919856/12946b8ac065/13073_2016_323_Fig1_HTML.jpg

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