Digitization, Vulnerability, and Holocaust Collections

Selecting Research Collections for Digitization: Applying the Harvard Model

ONEOF THE MOST IMPORTANT CHALLENGES facing digital library planners is the selection of research collections for digitization. The costs associated with creating digital resources are significant. Planners must develop selection criteria and procedures in order to ensure that limited time and resources are committed to projects to digitize the most significant collections with the highest proba...

Inselect: Automating the Digitization of Natural History Collections.

The world's natural history collections constitute an enormous evidence base for scientific research on the natural world. To facilitate these studies and improve access to collections, many organisations are embarking on major programmes of digitization. This requires automated approaches to mass-digitization that support rapid imaging of specimens and associated data capture, in order to proc...

A plea for digital reference collections and other sciencebased digitization initiatives in taxonomy: Sepsidnet as exemplar

1Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, 2Oxford University Museum of Natural History, Oxford, England, 3Natural History Museum, London, England, 4Department of Zoology and Fisheries, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic, 5Institute of Evolutionary Biology ...

Five task clusters that enable efficient and effective digitization of biological collections

This paper describes and illustrates five major clusters of related tasks (herein referred to as task clusters) that are common to efficient and effective practices in the digitization of biological specimen data and media. Examples of these clusters come from the observation of diverse digitization processes. The staff of iDigBio (The U.S. National Science Foundation's National Resource for Ad...

Digital Collections, the Next Generation: Transitioning to METS for Science Fiction Digitization Project