Description: This abstract describes a poster about the Apiary Project. The Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas, is building a framework and web-based workflow for the extraction and parsing of herbarium specimen data. The workflow will support the transformation of written or printed specimen data into a high-quality machine-processable XML format. This poster describes an event model that informed the development of the Apiary XML Application Schema

Description: This paper discusses extraction and parsing of herbarium specimen data. Abstract: Herbaria around the world house millions of plant specimens; botanists and other researchers value these resources as ingredients in biodiversity research. Even when the specimen sheets are digitized and made available online, the critical information about the specimen stored on the sheet are not in a usable (i.e., machine-processible) form. This paper describes a current research and development project that is designing and testing high-throughput workflows that combine machine- and human-processes to extract and parse the specimen label data. The primary focus of the paper is the metadata needs for the workflow and the creation of the structured metadata records describing the plant specimen. In the project, the authors are exploring the use of the new Dublin Core Metadata Initiative framework for application profiles. First articulated as the Singapore Framework for Dublin Core Application Profiles in 2007, the use of this framework is in its infancy. The promises of this framework for maximum interoperability and for documenting the use of metadata for maximum reusability, and for supporting metadata applications that are in conformance with Web architectural principles provide the incentive to explore and add implementation experience regarding this new ...

Description: This paper discusses free-text collection-level subject metadata in large-scale digital libraries. Abstract: Metadata is central for information organization in digital libraries. A growing number of digital libraries worldwide are now generating metadata to describe not only individual objects but entire digital collections as integral wholes. However, collection-level metadata has not yet been empirically evaluated. This paper reports results of the study that used an in-depth comparative content analysis to assess free-text collection-level subject metadata in three large-scale digital cultural heritage aggregations in the United States and Europe. As observed by this study, the emerging best practices include encoding a variety of information about a digital collection in free-text collection-level Description metadata element. This includes both subject-specific (topical, geographic and temporal coverage, and types/genres of objects in a digital collection) and non-subject-specific information: title, size, provenance, collection development, copyright, audience, navigation and functionality, language of items in a digital collection, frequency of additions, institutions that host a digital collection or contribute to it, funding sources, item creators, importance, uniqueness, and comprehensiveness of a digital collection.

Description: This poster discusses building digital information curation curriculum, as part of the iCAMP project. The iCAMP (Information: Curate, Archive, Manage, and Preserve) project is developing a curriculum in digital curation and data management. The project will design and implement four courses using a competency-based curriculum approach. It also integrates principles of sound pedagogy, instructional design, and a learning environment that emphasizes practical training. This poster summarizes the goals and guiding principles behind the curriculum development and instructional design framework.

Description: This presentation discusses the iCAMP project. The UNT College of Information's iCAMP project, funded by the Institute of Museum and Library Services (IMLS), is developing a four course, competency-based, online graduate academic certificate program in data curation and data management for a hybrid audience of information professionals and disciplinary researchers and scholars. This presentation gives an overview of the iCAMP project and its development.