Digitisation / Cataloguing of non-textual objects: Photographic negatives. Infrastructure for indexing and digitising of historical photographs in art historical image libraries

非文本对象的数字化/编目：摄影底片。

• 批准号: 203631055
• 负责人: Dr. Christian Bracht
• 金额: --
• 依托单位: Deutsches Dokumentationszentrum für Kunstgeschichte - Bildarchiv Foto Marburg
• 依托单位国家: 德国
• 项目类别: Cataloguing and Digitisation (Scientific Library Services and Information Systems)
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/203631055?language=en
• 关键词: Digitisation; Cataloguing; non; textual; objects

Aim of the project is the exemplary digitisation and indexing of art historical documentation photographs from the early days of photography till the 1950s. For the first time, objects almost entirely canonical shown in excellent historical photographs by first-class authors will be digitised in high resolution, catalogued in detail in a database and published in the well-established image portal www.bildindex.de. The data produced will be made available to other portals like Europeana or Wikimedia by harvesting interface (see frame application). Besides applying the methods of object documentation well-proven in the Bildindex partner network, the photos will be catalogued in novel document types relating to photographic lots and to the single photo, thus allowing describing their belonging to larger collection contexts while making the photographic artefact itself the subject of analysis. The exceptionally high quality and the scientific rank of these early art historical documentary photographs is demonstrated by high-resolution digital images and detailed metadata modeled according to a new scheme.

该项目的目的是从摄影的早期到20世纪50年代的艺术历史文献照片的示范性数字化和索引。第一次，由一流作者在优秀的历史照片中展示的几乎完全规范的物体将以高分辨率数字化，在数据库中详细编目，并在成熟的图像门户网站www.bildindex.de上发布。产生的数据将通过收获界面提供给其他门户网站，如Europeana或Wikimedia（参见框架应用程序）。除了采用在Bildindex伙伴网络中得到充分证明的实物记录方法外，这些照片将以与照片批次和单张照片有关的新文件类型编目，从而能够说明它们属于更大的收藏范围，同时使照片人工制品本身成为分析的对象。这些早期艺术历史纪实照片的极高质量和科学等级通过高分辨率数字图像和根据新方案建模的详细元数据来证明。