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This paper aims to elucidate the value of opening up digital collections for end‐user development of mash‐ups and to evaluate the suitability of libraries' infrastructure for this purpose.

The author surveyed ARL members' digital collection platforms to assess the terms of use statements and options for programmatic access.

The findings show that 17 per cent of the institutions surveyed offer some means for mashing up digital collections, and that, while more than half the collections surveyed have some form of terms of use or rights statements, they were not written to support this type of use case.

Results of the research suggest that a mashable digital collection service is feasible for most libraries.

This paper will be of interest to librarians who are considering providing application programming interface (API) access to their digital collections.

Digital collection assessment has focused mainly on evaluating systems, metadata and usability. While use evaluation is discussed in the literature, there are no standard criteria and methods for how to perform assessment on use effectively. This paper asserts that use statistics have complexities that prohibit meaningful interpretation and assessment. The authors aim to discover the problems inherent in the assessment of digital collection use statistics and propose solutions to address such issues.

This paper identifies and demonstrates five inherent problems with use statistics that need to be addressed when doing assessment for digital collections using the statistics of assessment tools on local digital repositories. The authors then propose solutions to resolve the problems that present themselves upon such analysis.

The authors identified five problems with digital collection use statistics. Problem one is the difficulty of distinguishing different kinds of internet traffic. Problem two is the lack of direct correlation of a digital item to its multiple URLs, so statistics from external web analytics tools are not ideal. Problem three is the analytics tools’ inherent bias in statistics that are counted only in the positive way. Problem four is the different interaction between digital collections with search engine indexing. Problem five is the evaluator’s bias toward simple growing statistics over time for surmising a positive use assessment. Because of these problems, statistics on digital collections do not properly measure a digital library’s value.

Findings highlight problems with current use measures and offer improvements.

This paper identifies five problems that need to be addressed before a meaningful assessment of digital collection use statistics can take place. The paper ends with a call for evaluators to try to solve or mitigate the stated problems for their digital collections in their own evaluations.

The purpose of this study is to assess the use of digital collections created via the large-scale digitization of archival collections. The large-scale digitization method specifically examined is the reuse of archival description from finding aids to create digital collections that consist mainly of compound digital objects, equivalent to a folder of items, minimally described at the aggregate level. This paper compares Web analytics data for two large-scale digital collections and one digital collection with rich, item-level description.

This study analyzed one year of Web analytics for three digital collections. The main research question of this study is: Are digital collections of minimally described compound objects used less than digital collections of richly described single objects?

This study found that the large-scale digital collections analyzed received less use than the traditional item-level collection, when examined at the item level. At the object level, the large-scale collections did not always receive less use than the traditional item-level collection.

This study is limited to three different digital collections from one institution. Web analytics also represent a limited interpretation of “use.”

This study presents a method for other institutions to assess their own large-scale digitization efforts and contributes to the profession’s understanding of the impact of large-scale digitization.

This paper is unique because it uses Web analytics to compare the use of large-scale digital collections to the use of traditional boutique digital collections.

The paper examines academic historians' information interactions with material from digital historical-newspaper collections as the research process unfolds.

The study employed qualitative analysis from in-depth interviews with Finnish history scholars who use digitised historical newspapers as primary sources for their research. A model for task-based information interaction guided the collection and analysis of data.

The study revealed numerous information interactions within activities related to task-planning, the search process, selecting and working with the items and synthesis and reporting. The information interactions differ with the activities involved, which call for system support mechanisms specific to each activity type. Various activities feature information search, which is an essential research method for those using digital collections in the compilation and analysis of data. Furthermore, application of quantitative methods and multidisciplinary collaboration may be shaping culture in history research toward convergence with the research culture of the natural sciences.

For sustainable digital humanities infrastructure and digital collections, it is of great importance that system designers understand how the collections are accessed, why and their use in the real-world context. The study enriches understanding of the collections' utilisation and advances a theoretical framework for explicating task-based information interaction.

The purpose of this paper is to investigate how non-research users access and use digital surrogates from archival collections via mobile walking tour app. Much of the existing literature that discusses outreach for digitised archival collections in libraries, archives and museums (LAMs) reports examples of single outreach events or discusses outreach broadly, without critically exploring the purpose and context of outreach as an activity. Further, these reports generally aim to introduce collections to potential researchers, amateur or professional, without consideration of how the collections could be used for purposes other than research, by non-researchers. The study aims to expand understanding of non-research use of digital surrogates contextualised by mobile technology.

Utilising an exploratory approach, Walk1916, a mobile walking tour app of Easter Rising sites in Dublin was first developed. It contextualised digital surrogates from archival collections, along with an audio and a textual description of the image, with augmented reality (AR) and geolocation technology. In all, 15 semi-structured interviews were then conducted to understand how contextualising digital surrogates with these mobile technology features influenced participants’ perceptions of the digital surrogate. Interview transcripts were transcribed and analysed via memoing and coding, using nVivo for Mac 10.2.2.

Findings from interview data suggest that contextualising the digital surrogate with AR and geolocation features allowed participants to perceive of the digital surrogate as enhancing their understanding of the Easter Rising, enhancing life and allowing for increased control of their experience.

This furthers work in the area of how individuals value digital surrogates, in different (non-research) contexts. These findings provide groundwork for the future study of non-research access to and use of digital surrogates held in institutional collections so that LAMs can utilise collections efficiently for a wider user base.

The purpose of this paper is to highlight the initial top-level findings of a year-long comprehensive needs assessment, conducted with the digital library community, to reveal reuse assessment practices and requirements for digital assets held by cultural heritage and research organizations. The type of assessment examined is in contrast to traditional library analytics, and does not focus on access statistics, but rather on how users utilize and transform unique materials from digital collections.

This paper takes a variety of investigative approaches to explore the current landscape, and future needs, of digital library reuse assessment. This includes the development and analysis of pre- and post-study surveys, in-person and virtual focus group sessions, a literature review, and the incorporation of community and advisory board feedback.

The digital library community is searching for ways to better understand how materials are reused and repurposed. This paper shares the initial quantitative and qualitative analysis and results of a community needs assessment conducted in 2017 and 2018 that illuminates the current and hoped for landscape of digital library reuse assessment, its strengths, weaknesses and community applications.

In so far as the authors are aware, this is the first paper to examine with a broad lens the reuse assessment needs of the digital library community. The preliminary analysis and initial findings have not been previously published.

The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design.

This study selects six digital libraries to represent a variety of digital libraries developed or sponsored by different types of organisations. The Help features of these selected digital libraries are examined by their types (explicit versus implicit), formats (texts, images, screenshots, multimedia materials, and interactive formats), and presentation styles (descriptive, guided, procedural, and exemplary).

This study presents the types of Help features available in the selected digital libraries, and further characterises the formats and presentation styles of these Help features. In the process of analysis, the author also identifies six types of problems: lack of standards; tradeoff between using explicit Help and implicit help; tradeoff between using general Help versus specific Help; lack of interactive Help features; lack of dynamic presentation styles; and lack of Help features for advanced users and users who do not understand English.

In order to design Help features that facilitate users to effectively use digital libraries, further research needs to extend studies to what types of help‐seeking situations users generally encounter and the corresponding support they need.

This study provides insightful information regarding the current status and problems of the Help features in existing digital libraries.

The purpose of this paper is to consider how digital preservation system architectures will support business analysis of large-scale collections of preserved resources, and the use of Big Data analyses by future researchers.

This paper reviews the architecture of existing systems, then discusses experimental surveys of large digital collections using existing digital preservation tools at Big Data scales. Finally, it introduces the design of a proposed new architecture to work with Big Data volumes of preserved digital resources – also based upon experience of managing a collection of 30 million digital images.

Modern visualisation tools enable business analyses based on file-related metadata, but most currently available systems need more of this functionality “out-of-the-box”. Scalability of preservation architecture to Big Data volumes depends upon the ability to run preservation processes in parallel, so indexes that enable effective sub-division of collections are vital. Not all processes scale easily: those that do not require complex management.

The complexities caused by scaling up to Big Data volumes can be seen as being at odds with preservation, where simplicity matters. However, the sustainability of preservation systems relates directly to their usefulness, and maintaining usefulness will increasingly depend upon being able to process digital resources at Big Data volumes. An effective balance between these conflicting situations must be struck.

Preservation systems are at a step-change as they move to Big Data scale architectures and respond to more technical research processes. This paper is a timely illustration of the state of play at this pivotal moment.

The purpose of this study is to carry out a systematic literature review for evidence-based assessment of the effectiveness of thesaurus in digital information retrieval systems. It also aimed to identify the evaluation methods, evaluation measures and data collection tools which may be used in evaluating digital information retrieval systems.

A systematic literature review (SLR) of 344 publications from LISA and 238 from Scopus has been carried out to identify the evaluation studies for analysis, and 15 evaluation studies have been analyzed.

This study presents evidences for the effectiveness of thesaurus in digital information retrieval systems. Various methods for evaluating digital information systems have been identified. Also, a wide range of evaluation measures and data collection tools have been identified.

The study was limited to the literature published in English language and indexed in LISA and Scopus. The evaluation methods, evaluation measures and data collection tools identified in this study may be used to design more cognizant evaluation studies for digital information retrieval systems.

The findings have significant implications for the administrators of any type of digital information retrieval systems in making more informed decisions toward implementation of thesaurus in resource description and access to digital collections.

This study extends our knowledge on the potentials of thesauri in digital information retrieval systems. It also provides cues for designing more cognizant evaluation studies for digital information systems.

The purpose of this paper is to address the key components of building good digital collections.

Different categories of digital collections based on guidelines defined by the authors are presented. Issues related to public access are illustrated. A model using the FRBR entities relationships is proposed to improve the accessibility of digital cultural materials so that scholarly research can be enhanced. The number of digital collections has been increased significantly since the late 1990s, but few studies investigated how these collections were organized and managed. To attain an understanding of the current status of institutional digital collections, various collection sites were examined and analyzed. The study focused on the existence and level of richness of bibliographic descriptions provided for each image; whether a search engine was available or not; how easily the search could be performed; and how search results were organized. The presentation of search results is problematic. Applying the IFLA FRBR model to digital materials can bring a solution.

The IFLA FRBR model presents the search results hierarchically so that related materials can be easily collocated. This feature meets the end‐users needs. The attributes of work and expression entities presented in the IFLA FRBR model should be applied differently for event‐based digital cultural materials. Defining work‐ or expression‐level entities under the event or theme will be more logical than under author and/or title for cultural materials. Doing expression‐level cataloging might also work for this type of materials.

Before building a digital collection, institutions should have a well‐thought‐out and well‐planned collection management mechanism. Metadata scheme, content standards and content management system are important fundamentals. Much can be done to improve the accessibility of digital collections. The proposed FRBRized approach will make the retrieval of digital cultural objects easier.