Computerization of the Fish Collections of the California Academy of Sciences. Phase 2

9407151 Iwamoto加利福尼亚科学院（CAS）的鱼类标本被认为是北美第二重要的国际鱼类学研究资源。在包含的218,000个标本批次中，目前只有60,000个（27.5%）被输入计算机数据库。这将使用MUSE收集管理软件从手写CAS和前斯坦福大学目录分类账中捕获目录数据。这项工作完成后，该学院的鱼类收藏将在其电子数据库中拥有超过15.7万条记录，占其总收藏的72%。在随后的阶段，电子编目将收集所有61 000个剩余未编目批次的数据。该数据库建成后，将能够更好地保存收集和贷款交易的清单和记录，立即取得收集数据，并为用户社区迅速有效地用计算机生成标本、地点和其他自定义分类数据的清单。与使用旧的手写分类帐和记录系统相比，执行这些日常功能所需的人员时间成本节省将是巨大的。由于时间和人员的限制，以前无法检索的信息的解锁将大大提高馆藏的价值和使用。策展人员节省下来的时间将更好地用于继续高质量地维护藏品。分享收集到的数据集将是一个主要问题，为此目的，将利用Gopher系统通过互联网络向国际社会提供收集数据库。

9407151 Iwamoto The preserved fish collection of the California Academy of Sciences (CAS) is considered the second most important international ichthyological research resource in North America. Of the 218,00 specimen lots contained, only 60,000 (27.5%) are currently entered in a computer database. This will capture catalog data from hand-written CAS and former Stanford University catalog ledgers using the MUSE collection-management software. This accomplished, the Academy's fish collection will have more than 157,000 records in its electronic database, representing 72% of its total collection. In a subsequent phase, electronic cataloging will capture data for all 61,000 remaining uncataloged lots. When completed, the database will allow maintenance of better inventories and records of collections and loan transactions, immediate access to collection data, and quick and efficient computer-generation of lists of specimens, localities, and other custom-sorted data for the user community. Cost savings in personnel time necessary to carry out these routine functions will be enormous compared with using the old hand-written ledger and records systems. The value and use of the collections will be greatly enchanced by the unlocking of information previously unretrievable because of limitations in time and personnel. Time saved by curatorial staff will be better used to continue high-quality maintenance of the collection. Sharing of the captured data set will be a prime concern, and to this end the collection database will be made accessible to the world community through Internet, using the Gopher system.