岁末红—台湾清华大学一次购入二库五集
日前,被列为台湾最重要的大学“台清交成”之一的台湾清华大学下单,一次购入爱如生四库系列数据库的四库著录书、四库存目书、四库奏毁书、四库未收书和爱如生历代别集庫的清后期编,共二库五集。加上此前已经购买的爱如生中国基本古籍库、爱如生中国方志库初集二集、爱如生中国谱牒库初集二集、爱如生中国丛书库初集、爱如生中国类书库初集、爱如生历代别集庫明前编和清前期编,爱如生申报数据库、爱如生中国近代报刊库要刊编第1、2、3辑,台湾清华大学拥有的爱如生数字产品多达10库18集,超过台湾中央研究院的6库8集,在台湾学术界首屈一指。
附带说明,此次台湾清华大学购买的爱如生历代别集庫的清后期编,是爱如生于去年年底推出的新产品,共收录清代道咸同光宣五朝个人著作集,包括诗文集和词曲集及其注本、选本等共2000种。至此,爱如生历代别集庫已推出明前编、明代编、清前期编、清后期编共四编,收录周秦、汉魏、六朝、唐、宋、元、明和清代别集共8000种,已经蔚成规模。
Good Year End- National Tsinghua University Purchased Two Databases and Five Collections
Recently, National Tsinghua University, ranked as one of Taiwan's most important universities, placed an order to purchase Series Database of Sikuquanshu I, II, III and IV, and Database of Chinese Ancient Personal Writings IV, totaling two databases and five collections. In addition, National Tsinghua University purchased Erudition Database of Chinese Classics Ancient Books, Database of Chinese Local Records I and II, Database of Chinese Genealogy I and II, Database of Chinese Collectanea I, Database of China Ancient Encyclopedia I, Database of Chinese Ancient Personal Writings I and III, Database of Chinese Modern Periodicals(ShenBao) , Database of Chinese Modern Periodicals(important journals I, II, and III), totalling 10 databases and 18 collections of Erudition’s digital products. It surpasses the 6 databases and 8 collections of Taiwan Academia Sinica and ranks first in Taiwan's academic circle.
Database of Chinese Ancient Personal Writings IV purchased by National Tsinghua University in Taiwan is a new product launched by Erudition at the end of last year. It contains a total of 2000 collections of personal works of Dao Guang, Xian Feng, Tong Zhi, Guang Xu and Xuan Tong in the Qing Dynasty, including poems, Ci, Qu, annotations and anthologies. Up to now, four collections of Erudition Database of Chinese Ancient Personal Writings have been launched: pre-Ming edition, Ming edition, pre-Qing edition and late Qing edition. It includes 8,000 kinds of collection of Zhou-Qin, Han-Wei, Six Dynasties, Tang, Song, Yuan, Ming and Qing dynasties, and has become a large-scale collection.
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