Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Date: September 24, 2008
Creator: Zavalina, Oksana L.; Palmer, Carole L.; Jackson, Amy S. & Han, Myung-Ja
Description: This presentation discusses free-text collection-level metadata. When many collections are brought together in a federation or aggregation, the attributes of the original collections can get lost. Collection-level metadata has the potential to provide important context about the purpose and features of individual collections, but these qualitative aspects are difficult to describe in a systematic way. This presentation reports on a content analysis of collection records in the IMLS Digital Collections and Content Collection Registry, conducted to analyze the kinds of substantive and purposeful information provided about 202 cultural heritage collections.
Contributing Partner: UNT College of Information
Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Assessing Descriptive Substance in Free-Text Collection-Level Metadata

Date: September 2008
Creator: Zavalina, Oksana L.; 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
Findings Pertaining to the Framework of Guidance for Building Good Digital Collections

Findings Pertaining to the Framework of Guidance for Building Good Digital Collections

Date: October 2006
Creator: Cole, Timothy W.; Jackson, Amy S.; Palmer, Carole L.; Shreeves, Sarah L.; Twidale, Michael B. & Zavalina, Oksana
Description: This paper discusses the findings pertaining to the framework for building good digital collections. This paper is part of the three-year interim project report for the IMLS Digital Collections & Content Project, summarizing major findings October 2002 through September 2005.
Contributing Partner: UNT College of Information