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Enterprises and institutions in the media industry are naturally advantaged in the field of data elements. The accumulated news reports, media materials, reader feedback and market research have precipitated their own "data gold mine".

However, most relevant units have not yet attached importance to and utilized the value of data elements, resulting in idle resources. Idle data elements can neither empower internal business teams nor realize social and commercial value through external output. This behavior of storing data without using it has caused the "gold mine" of the media industry to gradually become a "burden."

As a pioneer in stimulating the value of data elements in the media industry, Science and Technology Daily has built a complete data base and capability output system, and has achieved remarkable results in improving the work efficiency of business teams and generating revenue through external output, and has benchmark significance.

01 Data base + internal and external services, Science and Technology Daily draws a blueprint for realizing the value of data elements
Science and Technology Daily (hereinafter referred to as the newspaper) is a vice-ministerial institution approved by the Central Editorial Committee and managed by the Ministry of Science and Technology. It is a central mainstream media responsible for the Party and the country's science and technology propaganda tasks. As an important institution for the dissemination of scientific and technological information, the newspaper has rich data resources. Fully releasing the value of data resources can not only enhance the newspaper's business capabilities and market competitiveness, but also better fulfill the media's social responsibilities and bring about a wider impact. Based on this, the newspaper sorted out the existing systems and data resources and summarized the three major needs of building a data base, internal services, and external output.

Requirement 1: Build a data base based on the knowledge system

Newspapers have accumulated a large amount of data in the field of science and technology information, including both self-produced and accumulated external data. These data are intertwined and mixed, making it inconvenient to search. Newspapers need to build a data base based on current data resources and a knowledge system as a framework, aiming to lay a solid foundation for the subsequent efficient use of data resources.

For data resource users, they need the support of past data as well as the latest developments in the field of science and technology information. Newspapers need to incorporate external resources according to the newly created knowledge system, continuously expand and update it, and ensure the continuous availability of the data base.

Requirement 2: To achieve internal services with the purpose of flexible access

Building a data base is not the goal, but using it is. The role of the data base is to collect and manage data resources, so newspapers need to develop a user terminal so that everyone can use it flexibly. Editors and reporters often need to query information when writing articles or reports. Through the user terminal, they can efficiently retrieve the required materials from the classified high-quality data resources, improving output efficiency and quality. In order to further improve flexibility, in addition to the Web terminal, newspapers need to build an APP terminal.

Demand 3: Based on the principle of satisfying customer preferences, realize external output

The newspaper's data resources are not limited to self-use, but can also be exported to government departments and enterprises and institutions in the field of science and technology to generate income. Unlike internal services, external exports have their own uniqueness. The first is the service method. The Web and APP ends of the internal service are essentially a SaaS service. When it is exported externally, some customers will accept it, while other customers may prefer the API service method. In addition, customers may not be satisfied with conventional content services and may have customized needs. For example, a certain unit is more interested in the "big model" and hopes to accurately customize the big model's special content and data analysis results. Therefore, newspapers need to prepare for these high-potential needs.

02 Three highlights of TRS facilitate in-depth cooperation with newspapers
In response to the above needs, Science and Technology Daily decided to achieve them through outsourcing. After researching many manufacturers, the newspaper selected TRS as its partner, mainly focusing on TRS's three highlights.

Highlight 1: Dual capabilities in media industry and big data technology

Founded in 1993, TRS has served more than 10,000 enterprise users. Media is one of TRS's key industries. In this industry, TRS has served many clients similar to Science and Technology Daily and has accumulated a large amount of industry know-how and best practices. At the same time, TRS has deep accumulation in the field of big data and has launched a number of products such as the Haizhi distributed data acquisition system, Haiju data integration system, TRS Haibei search database, etc., which are widely used. Science and Technology Daily values ​​the accumulation of manufacturers in the media industry and big data, and prefers partners with complex backgrounds, so it did not choose pure media digital service providers and big data companies.

Highlight 2: Accumulation of high-value and accurate information data worth hundreds of billions

The data base of a newspaper must be solid and deep to support the building of applications. Relying solely on the newspaper's own data accumulation is a bit thin. TRS has served the media industry for many years and has accumulated hundreds of billions of high-value and accurate information data. It can combine the characteristics of the newspaper's knowledge system to quickly fill its data base.

In addition, TRS has a globally deployed distributed collection platform and core collection capabilities, which can quickly build pipelines for the data base to connect to the information world and ensure the long-term vitality of the data base.

Highlight 3: Support newspapers to conduct on-site research on past best practices

TRS has accumulated a large number of best practice cases, many of which are from companies with similar backgrounds to Science and Technology Daily. TRS has been serving these customers for a long time and has maintained good relations with them. Most of them support TRS's on-site exchanges and research with Science and Technology Daily. The newspaper attaches great importance to field research, believing that through this method, it can truly feel the value of the project and gain valuable practical experience from it.

03 The newspaper confirmed the "three-step" solution to meet the needs one by one
After extensive research, the newspaper and TRS developed a "three-step" solution. Step one, build a big data support service platform to realize data sorting, processing and integration. Step two, build a service platform to realize internal and external services. Step three, build a precise topic generation service platform and an intelligent data platform to deepen external services.

Step 1: Build a big data support service platform to realize data sorting, processing and integration

TRS has created a unique knowledge system based on the actual situation of the newspaper, covering various types and dimensions such as the Science and Technology Commission system, the Science and Technology Association system, the Chinese Academy of Sciences system, IT, and agricultural technology. After building the knowledge system, TRS cleans and integrates the data into the database. Then, the standardized and unified access of external high-quality data is carried out to further enrich the basic data resources.

The above concept will be carried by a big data support service platform, which includes four components: science and technology information collection and access subsystem, science and technology data intelligent processing subsystem, big data management subsystem and science and technology knowledge processing subsystem.

Science and technology information collection and access subsystem: For the access of multi-source heterogeneous data, the pushed data will be integrated in multiple sources, multiple temporalities, and multiple scales, and finally form an information content big data resource pool as the basic data service support.
Scientific and technological data intelligent processing subsystem: uses big data intelligent processing technology to perform semantic analysis, automatic labeling, information classification, clustering and other big data intelligent processing on the basic material library.
Big data management subsystem: provides data storage management, retrieval services and data management, and supports mobile business applications of subsequent upper-level platforms.
Science and technology knowledge processing subsystem: considering science and technology news, scientific and technological personnel, scientific and technological institutions, scientific and technological achievements, etc., collects information and extracts key data in the field of science and technology, and builds a basic information knowledge base required for scientific and technological information.
Step 2: Build a service platform to realize internal and external services

The first step is to let all parties see the data, and the second step is to let all parties use the data. TRS builds the Web and mobile terminals of China Science and Technology Information Database on the big data support service platform. At the same time, TRS builds the backend management system of China Science and Technology Information Database for the newspaper, including unified management of Web and mobile terminal data, user membership management, application terminal operation management, user portrait, etc.

Through the above construction, the newspaper can not only provide services internally, but also provide mobile science and technology information services for the decision-making and operation of government departments, enterprises, institutions and various social organizations, as well as provide science and technology information and popular science knowledge services to the general public.

Step 3: Build a precise topic generation service platform and intelligent data platform to deepen external services

Customers may not be satisfied with conventional content services and have customized needs. TRS has built a precise topic generation service platform for newspapers to meet this demand. The platform relies on TRS's artificial intelligence and big data analysis technologies such as topic tracking, hot spot discovery, clue aggregation, communication index calculation, and visual trajectory tracing to build precise information topics to support different business scenarios, including e-newsletter topics, original manuscript topics, publicity and distribution matrices, leadership dynamics topics, science and technology policy topics, major science and technology live broadcast topics, video media resources topics, science and technology hot topics, event analysis, clue public opinion topics, emergencies topics, new media lists, data service statistics, user portrait topics, central media comparison topics, etc.

Some scientific and technological enterprises and institutions will accept the Web and APP terminals, while more units prefer the API service mode. Therefore, TRS built an intelligent data middle platform for the newspaper. The related work includes establishing a unified management system and standard specifications for APIs, as well as making APIs explicit and visual.

04 The newspaper's data services cover 31 provincial science and technology departments, high-tech zones and related research institutes and other units and institutions, generating revenues exceeding expectations
To date, the data base of Science and Technology Daily has connected to nearly 8,000 information sources, including the white list of the Cyberspace Administration of China, key science and technology information sources, Science and Technology Daily, and key foreign basic information sources. The total amount of information has reached 230 million, providing strong support for the newspaper's news information retention, news production support, and data information services.

The service application of the Science and Technology News Big Data Science and Technology Information Service Platform has currently covered the fields of biology, medicine and other industries, and can push accurate data to specific high-end users. At present, mobile terminals cover 31 provincial science and technology departments, high-tech zones and relevant scientific research institutes and other units and institutions across the country. In terms of external services, the newspaper has achieved revenue generation that exceeds expectations.

In the future, the newspaper plans to introduce big model technology to give data elements the wings of AI and realize greater value.