Big data development favored: EU plans to invest 2.5 billion euros in NIH to set up 32 million US dollars

Source: biological exploration 2014-10-16 as early as 1980, famous futurist Alvin? In the book "the third wave", Toffler praised big data as "the colorful movement of the third wave" However, from about 2009, "big data" has become a popular word in the Internet information technology industry At present, big data has become another disruptive technology revolution in IT industry after cloud computing and Internet of things With the popularization of technology, big data has been applied in biology, finance, retail, energy, transportation and other fields, and is penetrating into all aspects of people's lives The EU plans to invest 2.5 billion euros on October 13 The European Commission issued a communique saying that it will establish cooperation with big data value association and invest 2.5 billion euros to promote the development of data industry This public-private partnership will be officially launched on January 1, 2015, and a number of projects will be launched from 2016 Between 2016 and 2020, the European Commission will invest more than 500 million euros in this cooperation using horizon 2020 research plan, and more than 2 billion euros will be invested by private industry partners In the communique, the European Commission pointed out that this partnership will help to promote some disruptive big data concepts in energy, manufacturing and healthcare industries, such as the provision of personalized health care and predictive analysis services, enhance the strength of the European region in the field of big data, and lay the foundation for the future development of data-driven economy The European Commission stressed that the development of big data can bring many benefits, such as helping European suppliers to occupy up to 30% of the global data market, creating about 100000 data related jobs in Europe by 2020, and reducing energy consumption by 10% NIH has set up $32 million awards In addition, the National Institutes of Health (NIH) recently announced that it will invest $32 million this year to set up an award to promote researchers to develop methods for analyzing and using biological databases The award comes from the big data knowledge (bd2k) innovation program launched by NIH last year NIH believes that more resources should be invested to help use the growing data set - the data accumulated by biomedical researchers such as genes, proteins and patient files Francis Collins, President of NIH, said the prizes would fund the development of computing tools, software, standards and methods for sharing and using big data sets In the next four years, 11 centers of excellence and innovation will receive US $2-3 million a year to develop methods and tools for modeling cancer cell signals and integrating mobile sensor data Another award will fund a global brain data collection effort called enigma to explore the genetic roots of mental illness The bd2k project will also fund the University of California, San Diego, to establish a data exploration coordination center, which will be jointly developed with eight other agencies to help researchers more easily discover and use datasets Prior to that, European and American countries attached great importance to the development of big data in the field of biology In March this year, the UK announced that the UK Medical Research Council (MRC) will invest 32 million pounds in the first five major projects to improve the capacity, capacity and core infrastructure of medical bioinformatics The medical bioinformatics program, which is expected to invest a total of £ 50 million, will address key medical challenges by creating new ways to couple complex biological data and health records As early as March 2012, the Obama administration announced the launch of "big data research and development plan", which promoted big data to the national strategic level and promised to invest more than 200 million US dollars In 2014, the U.S government launched the big data to knowledge program on how to make full use of biomedical big data.