five

VPRS 13100 Classification List of General Correspondence Files, Multiple Number System II

收藏
Research Data Australia2024-12-14 收录
下载链接:
https://researchdata.edu.au/vprs-13100-classification-system-ii/153883
下载链接
链接失效反馈
官方服务:
资源简介:
This series comprises a file classification list for general correspondence files maintained by the State Film Centre Victoria (VA 2325).Multiple Number System II was introduced in 1993 and replaced the previous Multiple Number System (VPRS 11856). The content of some of the files controlled by the previous system were incorporated into this new system and top-numbered.In 1997, the State Film Centre merged with Film Victoria (VA 1071) to form Cinemedia (VA 4117).It then appears that active files belonging to Multiple Number System II were kept in their original folders as content was added, but the files were treated as subject files according to the file title.This suggests that the files may have been part of the system of General Correspondence Subject Files (1977-ct) (VPRS 11855). However, in order to facilitate easier access to these files, it was decided to keep all files created under Multiple Number System II in this original order.The exact start and end dates for this series are unknown, particularly as the recordkeeping system seemed to merge with that of VPRS 11855. However, subject to further research, it seems that files were no longer labelled with multiple numbers from 1997.

本系列为维多利亚州电影中心(State Film Centre Victoria,VA 2325)所管理的通用公务函件文件分类清单。二号多编号系统(Multiple Number System II)于1993年正式启用,取代了此前的多编号系统(VPRS 11856)。原系统所管控的部分文件内容被纳入该新系统,并被赋予顶级编号。1997年,维多利亚州电影中心与维多利亚电影局(Film Victoria,VA 1071)合并,组建为影视媒体公司(Cinemedia,VA 4117)。此后,隶属于二号多编号系统的在用档案似乎仍留存于原文件夹中并持续补充内容,但按照文件标题,此类档案被归类为主题档案。这表明此类档案或许曾隶属于1977年至今(1977-ct)的通用公务主题文件系统(VPRS 11855)。不过,为便于此类档案的检索利用,相关方决定将二号多编号系统下生成的全部档案维持其原始排序。本系列的确切起止日期尚未明确,尤其是由于其档案管理系统似乎与VPRS 11855的系统发生了融合。但经进一步研究可知,自1997年起,档案便不再以多编号形式进行标注。
提供机构:
Public Record Office Victoria
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作