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What are the commonly used Chinese databases in pharmaceutical information resources?

醉折花枝作酒筹
醉折花枝作酒筹Original
2021-06-28 11:42:0622461browse

Commonly used Chinese databases in pharmaceutical information resources include: 1. Wanfang Database, the only full-text database of academic conference documents in China; 2. VIP Database, the founder of Chinese journal database construction; 3. CNKI, to achieve The goal is to disseminate, share and utilize value-added knowledge resources throughout society.

What are the commonly used Chinese databases in pharmaceutical information resources?

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

As one of the main tools for pharmaceutical information retrieval and novelty checking, databases can be divided into bibliographic abstract databases and full-text databases. Commonly used Chinese full-text databases include Wanfang, VIP and CNKI.

Wanfang Database

Wanfang Database is a large-scale online database developed by Wanfang Data Company, covering journals, meeting minutes, papers, academic results, and academic conference papers; it is also a database related to China Knowledge The most famous Chinese professional academic database on the Internet. Its development company, Wanfang Data Co., Ltd., is the first joint-stock high-tech enterprise in China with information services as its core. It is a comprehensive information service in the Internet field that integrates information resource products, information value-added services and information processing solutions. business.

Wanfang Journals: It collects the full text of 7,600 scientific and technological journals in more than 70 categories in five major categories: science, engineering, agriculture, medicine, and humanities.

Wanfang Conference Papers: "China Academic Conference Papers Full-text Database" is the only full-text database of academic conference papers in China. It mainly collects papers from national academic conferences organized by national-level societies, associations, and research associations since 1998. , the data range covers natural sciences, engineering technology, agriculture, forestry, medicine and other fields, and is an indispensable helper for understanding domestic academic trends.

The information in the "Chinese Enterprises, Companies and Products Database" is 100% updated throughout the year, providing various forms of carriers and versions.

VIP Database

The VIP Chinese Science and Technology Journal Database is one of the large-scale comprehensive databases in China. It is divided into three versions (full-text version, abstract version, and citation version) and 8 albums (social science, Natural sciences, engineering technology, agricultural sciences, medicine and health, economic management, education science, library and information).

The website has successively established strategic cooperative relationships with Google Scholar Search Channel, Baidu Library, and Baidu Encyclopedia. The website is far ahead of the development level of the digital publishing industry. It has been ranked among the top 100 websites in China's publishing industry several times, and ranks among the top websites in China's library industry and information industry. The company is the founder of the Chinese periodical database construction business. Since 1989, it has been committed to the scientific and rigorous research, analysis, collection, processing and other in-depth development and promotion application of massive newspaper and periodical data.

CNKI

Provides CNKI source database, foreign language, industrial, agricultural, medical and health, economic and educational databases. Among them, the comprehensive databases are the Chinese Journal Full-text Database, the Chinese Doctoral Thesis Database, the Chinese Excellent Master's Thesis Full-text Database, the Chinese Important Newspaper Full-text Database and the Chinese Important Conference Paper Full-text Database. Each database provides three search functions: primary search, advanced search and professional search. Advanced search functions are most commonly used.

The CNKI project is an information construction project aimed at realizing the dissemination, sharing and value-added utilization of knowledge resources throughout society.

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