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  Partner: UNT College of Information
 Resource Type: Paper
 Decade: 2000-2009
 Year: 2008
Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Date: September 2008
Creator: Zavalina, Oksana; Palmer, Carole L.; Jackson, Amy S. & Han, Myung-Ja
Description: This paper discusses assessing descriptive substance in free-text collection-level metadata. Abstract: Collection-level metadata has the potential to provide important information about the features and purpose of individual collections. This paper reports on a content analysis of collection records in an aggregation of cultural heritage collections. The findings show that the free-text Description field often provides more accurate and complete representation of subjects and object types than the specified fields. Properties such as importance, uniqueness, comprehensiveness, provenance, and creator are articulated, as well as other vital contextual information about the intentions of a collector and the value of a collection, as a whole, for scholarly users. The results demonstrate that the semantically rich free-text Description field is essential to understanding the context of collections in large aggregations and can serve as a source of data for enhancing and customizing controlled vocabularies.
Contributing Partner: UNT College of Information
High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

Date: 2008
Creator: Moen, William E.; Best, Jason H. & Neill, Amanda K.
Description: This grant proposal is for the United States Institute of Museum and Library Services National Leadership Grant. Abstract: The University of North Texas's Texas Center for Digital Knowledge (TxCDK) and the Botanical Research Institute of Texas (BRIT) will conduct fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of textual museum specimen label information into high-quality machine-processible parsed data. This two-year project will advance understanding of the workflow and processes best able to increase access to and use of digitized biological collection metadata within the stakeholder communities comprised of biologists, natural history museum collections managers, biodiversity standards groups, and the library and information science community. A key challenge faced by all natural history collections is determining a transformation process that yields high-quality results in a cost- and time-efficient manner. The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement that can be replicated, adapted, and transferred to herbaria and other natural history collections.
Contributing Partner: UNT College of Information
An Issue of Granularity: Decomposing Redesigned Courses on Different Levels of Details

An Issue of Granularity: Decomposing Redesigned Courses on Different Levels of Details

Date: 2008
Creator: Li, Fei; Polyakov, Serhiy; Barnes, Svetlana; Moen, William E. & Xu, Hong
Description: This paper discusses a project to redesign courses on different levels of details. The Texas Course Redesign Project initiated by the Texas Higher Education Coordinating Board (THECB) aims to develop and distribute instructional resources to improve student learning outcomes and lower the costs of higher education.
Contributing Partner: UNT College of Information
A Repository for Learning Objects: Supporting the Reuse and Repurposing of Redesigned Courses and Their Content

A Repository for Learning Objects: Supporting the Reuse and Repurposing of Redesigned Courses and Their Content

Date: 2008
Creator: Barnes, Svetlana; Li, Fei; Polyakov, Serhiy & Moen, William E.
Description: This paper describes the design and development of a learning object repository for a new statewide higher education initiative. The Texas Higher Education Coordinating Board is funding the redesign of large undergraduate courses; the redesigned courses are intended to improve student learning, retention and outcomes. The learning object repository stores and provides access to content from these courses. Content has been decomposed into discrete learning object varying in levels of granularity. The paper provides details on the proof-of-concept implementation developed in Phase I of a two-phase project. Special attention is given to key aspects such as the levels of granularity, metadata, technology, and user testing. ssues that emerged in Phase I are informing all facets of the next iteration of the repository.
Contributing Partner: UNT College of Information
Resource and Resource Sharing in Intelligent Information Access

Resource and Resource Sharing in Intelligent Information Access

Date: October 2008
Creator: Chen, Jiangping & Li, Fei
Description: This paper reports an exploratory study on resources and resource sharing among researchers in Intelligent Information Access (IIA). The investigation consists of two stages. In Stage One, the authors conducted a content analysis to identify resources used in 145 research papers and reports in two subfields of IIA; and in Stage Two, the authors carried out an online survey of IIA researchers to understand resource-sharing channels and the researchers' perspectives on resource sharing. The results demonstrate that IIA researchers make use of various types of resources developed by others. Most of these resources are knowledgeable sources or software systems that are freely available online. However, IIA researchers encounter various difficulties during the course of resource acquisition and use. The study suggests that a resource management system built on a well-established knowledge-management model could greatly facilitate the creation, sharing, and use of resources in the IIA community.
Contributing Partner: UNT College of Information