Big data refers to the unable to perceive the traditional digital technology tools in the existing time concept framework、Collection、Management、Massive data collection of processing and service，A large capacity、Quick speed、There are many types、Large information value、Four features of redundant information。viktor Mayer-SCH? 觟 NBERGER) in "Big Data Age: Life、Great Change of Work and Thinking "pointed out，"The arrival of the era of big data will definitely change our future life、Work and thinking mode "。At the same time，Schneberg also proposed a research method that predicts the laws of things by analyzing and digging the relevant relationships in big data。Proposal of the concept of the correlation，Calculated with massive data、Looking for correlation、New cognitive methods and thinking patterns characterized by disagreement of vagueness。

Current，Big data technology has affected all aspects of social life，It also brings changes to the production activities of scientific knowledge。Scientific knowledge production method based on big data technology，Expand the scope of scientific research objects to a large amount of data collected by various terminal equipment，Reuse the computer for centralized management and statistical analysis，Then dig into the correlation of things inside things，The so -called data -intensive scientific research has been formed，This is also the "fourth paradigm" of scientific research proposed by Tony bet365 best casino games Hey and others。In this background，Big data processing system has gradually become a new generation of scientific research infrastructure，Knowledge production method has also gradually shifted from hypothesis to data driver，and already in high energy physics、Environmental monitoring、astronomical detection、Studies in areas in areas in areas of biomedicine have been widely used。Generally speaking，Scientific knowledge production in the era of big data has shown the following major changes in aspects。

　　bet365 Play online games dependence on electronics、Communication、The rapid development of technology and other technologies，Especially various monitoring、Monitoring、Perception、Data acquisition terminals and extensive application of supercomputers，A collection based on big data、Storage、Transmission、Calculation、Analysis、Integrated new scientific research service platform is being gradually built。Now，Traditional methods of accurately calculating a small amount of specific data to seek causality between things，Large -scale data sets that have emerged at the exponential speed of index level。For example，Deep Sea Detector、Medical Records、Universe Space Station、Aerospace Satellite、Large strong child collision machine and other equipment，It provides new materials and research objects for contemporary scientific research，Massive data generated (such as the data generated by a large strong child collision at the European particle center has reached several trillion -dollar bytes every day) and can no longer use traditional calculation methods for statistical analysis。For this，Many countries have already started to build a new type of scientific research service platform based on big data。

　Second, propose new logical channels for scientific knowledge production.Start with logic empiricalism，Precise calculation of data，So as to seek causality between things，It is the research method adopted by scientists。But，Under a big data technology environment，Massive data sets have exceeded our understanding and even imagination，A considerable part of these data is repeated or even useless。Statistical analysis of massive data，Ear the correlation between things，Then scientifically predict and analyze the future，A new conclusion is drawn，It has become a new logical channel of scientific discovery。In this calculation mode，Scientists no longer need to analyze the relationship between each data and other data，There is no need to explore the scientific facts behind individual or even local data，Instead of observation from macro、Calculation、Analysis of the correlation in the amount of data contained in large amounts of data，Then explore the inner law behind the correlation。Although some of these laws are not inevitable，But the statistical conclusion still has considerable scientific value。And，What kind of "what" is also hidden in the phenomenon of "why"，guide us to further explore。In this sense，Big data does not deny causal logic in scientific discovery，Instead of supplementing causal logic or even transcendence。

　　Third, shape a new type of cooperation model of a scientific community.Under the background of big data technology，Scientific research data can be deeply shared，University、Research Institutions、The degree of mutual dependence between high -tech enterprises is further enhanced。Scientists can share it to a certain extent until collaborative processing massive scientific research data，Even the public participates in the production of new knowledge。Big data technology is constantly building a new type of cooperation mode of a scientific community。One aspect，Data sharing makes the scientific community more condensed; on the other hand，The mutual dependence between scientific communities is continuously increased，The cooperation mode also continuously expands。Now，Scientists in various fields should be able to get、Use various non -structured data in the art and even other fields。Big data converts into scientific research objects，Time to track、Get、The ability to share and use various data，It has become an important factor affecting scientists' knowledge production capacity，This also requires an efficient collaborative cooperation mechanism between scientists in different fields。For example，Observation of the ocean requires a computer field、Ocean field、Meteorological fields and other scientists cooperate，Common processing continuous model design、Automated data governance control and calibration、Cooperation of data analysis and calculation and visualization。Cooperation of the scientific community not only avoids duplicate work，and greatly improve the efficiency of scientific research and the social display of scientific research results。

　Fourth, strengthen the coordination of knowledge production globally.In network、Under the background of the scientific knowledge production of globalization，It is difficult for a single scientific research institution to have all the resources of the production of big data knowledge，This is required to be under the premise of allowing intellectual property protection，The necessary cooperation and sharing relationships should be established between the scientific communities of different countries。Share various large instruments and equipment、Massive data、Technical program，Not only can save the purchase cost of large expensive equipment，And can reduce the time cost of data acquisition and processing，to improve the effective allocation of academic resources globally。For example，Microsoft Global Telescope as part of the "Virtual Observatory"，You can get a large amount of data that cannot be compared with ordinary telescope，And can be seamlessly connected to the quantitative research method used by astronomers。Data conversion into scientific research objects，Collection of Big Data、Get、Analysis and calculation，It is also the common cause of the global scientific community。Future，Coordinated production of scientific knowledge globally，will become a new normal for scientific research。

Scientific research in history has gone through observation、Experience science，Based on theoretical analysis、Theoretical sciences summarized and summarized，Then to establish a model、Calculation and analysis Calculation science three stages。Now，Big Data Technology is pushing contemporary scientific research to collecting data、Statistics、Analysis to seek the so -called big data science period of correlation laws。From hypothesis driver to data driver，From the discovery of causality to seeking correlation，bet365 Play online games opened a new logical channel for scientific knowledge production。Facing the explosive growth of data，Big data computing mode is also an effective way to solve the contradiction between massive data and limited data processing capabilities。Although this model can be used as a new paradigm for scientific knowledge is still a question worthy of deepening，But we can see，Application of knowledge production based on big data is becoming more and broad and deep，Collection of Big Data、Calculation、Analysis ability has also become an important aspect of the knowledge production capacity of scientific research institutions。At the same time，Data becomes a direct object of scientific research.，Continuous transformation of scientific and technical capabilities，jointly promotes the rapid improvement of big data knowledge production capacity。

New model of scientific knowledge produced by big data technology，We should strengthen the support for some big data plans，Create a batch of more advanced、Complete big data technology service platform，Strengthen the support for scientific research institutes and high -tech enterprises that carry out big data project research，Encourage the scientific community to launch international exchanges and cooperation，To improve the knowledge production capacity of the scientific community，So as to seize the heights of the production in the new round of scientific and technological competition。policy design at the national level，Construct a complete big data technology platform，Promoting the cooperation between the scientific and industrial circles，Promoting the rapid transformation of scientific and technological achievements，Not only bet365 live casino games the only way to enhance the ability of scientific and technological innovation，It is also an important goal and content for building an innovative country。

　(Author Unit: School of Literature and News Communication of Yantai University)