Information seekers are generally on their own to discover and use a research library’s growing array of digital col- lections, and coordination of these collections’ development and maintenance is often not optimal...Information seekers are generally on their own to discover and use a research library’s growing array of digital col- lections, and coordination of these collections’ development and maintenance is often not optimal. The frequent lack of a con- scious design for how collections fit together is of equal concern because it means that research libraries are not making the most of the substantial investments they are making in digital initiatives. This paper proposes a framework for a research library’s digital collections that offers integrated discovery and a set of best practices to underpin collection building, federated access, and sus- tainability. The framework’s purpose is to give information seekers a powerful and easy way to search across existing and future collections and to retrieve integrated sets of results. The paper and its recommendations are based upon research undertaken by the author and a team of librarians and technologists at Cornell University Library. The team conducted structured interviews of forty-five library staff members involved in digital collection building at Cornell, studied an inventory of the library’s more than fifty digital collections, and evaluated seven existing Open Archives Initiative (OAI) and federated search production or prototype systems. The author will discuss her team’s research and the rationale for their recommendations to: present a cohesive view of the library’s digital collections for both browsing and searching at the object level; take a programmatic (rather than project-based) approach to digital collection building; require that all new digital collections conform to library-developed and agreed-upon OAI best practices for data providers; and implement organizational structures to sustain the library’s digital collections over the long term.展开更多
A vast quantity of art in existence today is inaccessible to individuals.If people want to know the different types of art that exist,how individual works are connected,and how works of art are interpreted and discuss...A vast quantity of art in existence today is inaccessible to individuals.If people want to know the different types of art that exist,how individual works are connected,and how works of art are interpreted and discussed in the context of other works,they must utilize means other than simply viewing the art.Therefore,this paper proposes a language to analyze,describe,and explore collections of visual art(LadeCA).LadeCA combines human interpretation and automatic analyses of images,allowing users to assess collections of visual art without viewing every image in them.This paper focuses on the lexical base of LadeCA.It also outlines how collections of visual art can be analyzed,described,and explored using a LadeCA vocabulary.Additionally,the relationship between LadeCA and indexing systems,such as ICONCLASS or AAT,is demonstrated,and ways in which LadeCA and indexing systems can complement each other are highlighted.展开更多
文摘Information seekers are generally on their own to discover and use a research library’s growing array of digital col- lections, and coordination of these collections’ development and maintenance is often not optimal. The frequent lack of a con- scious design for how collections fit together is of equal concern because it means that research libraries are not making the most of the substantial investments they are making in digital initiatives. This paper proposes a framework for a research library’s digital collections that offers integrated discovery and a set of best practices to underpin collection building, federated access, and sus- tainability. The framework’s purpose is to give information seekers a powerful and easy way to search across existing and future collections and to retrieve integrated sets of results. The paper and its recommendations are based upon research undertaken by the author and a team of librarians and technologists at Cornell University Library. The team conducted structured interviews of forty-five library staff members involved in digital collection building at Cornell, studied an inventory of the library’s more than fifty digital collections, and evaluated seven existing Open Archives Initiative (OAI) and federated search production or prototype systems. The author will discuss her team’s research and the rationale for their recommendations to: present a cohesive view of the library’s digital collections for both browsing and searching at the object level; take a programmatic (rather than project-based) approach to digital collection building; require that all new digital collections conform to library-developed and agreed-upon OAI best practices for data providers; and implement organizational structures to sustain the library’s digital collections over the long term.
文摘A vast quantity of art in existence today is inaccessible to individuals.If people want to know the different types of art that exist,how individual works are connected,and how works of art are interpreted and discussed in the context of other works,they must utilize means other than simply viewing the art.Therefore,this paper proposes a language to analyze,describe,and explore collections of visual art(LadeCA).LadeCA combines human interpretation and automatic analyses of images,allowing users to assess collections of visual art without viewing every image in them.This paper focuses on the lexical base of LadeCA.It also outlines how collections of visual art can be analyzed,described,and explored using a LadeCA vocabulary.Additionally,the relationship between LadeCA and indexing systems,such as ICONCLASS or AAT,is demonstrated,and ways in which LadeCA and indexing systems can complement each other are highlighted.
