Developing an institutional repository using Digital Commons

Brush, Denise; Jiras, Jonathan

doi:10.1108/dlp-08-2017-0028

Cited by 6 publications

(7 citation statements)

References 8 publications

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“…Recently, Brush and Jiras (2019) used the Digital Commons platform for creating a digital library at the institution level. This scheme used working professionals for the system design and embedding the database with the faculty record management system for ease of information filtering and access.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic

Mehta

2021

DLP

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Purpose This paper aims to evaluate the user satisfaction criterion for qualitative assessment of timeliness and efficacy of digital libraries based on the multivariate fuzzy logic technique. Design/methodology/approach In this paper, the performance of digital library services using fuzzy logic modeling are evaluated. This model based on fuzzy logic control is used to compute the dynamic response of users by using multiple independent variables. These parameters with inherent uncertainties in practical scenarios are characterized by fuzzy linguistic information. Findings Several parameters determining the user satisfaction metric in the deployment of digital library exhibit implicit uncertainties which can be intelligently modeled by means of fuzzy control systems. Given the sample data set for the proposed fuzzy multi-attribute decision-making framework, the simulation results are used to compute various error performance measures in the estimation of the fuzzy output variables. Research limitations/implications The size of the considered sample data set is considerably small. Scalable real-world data sets can be used to reinforce the statistical efficiency and accuracy of the proposed model. Moreover, other techniques such as evolutionary multi-objective optimization and the Markovian process can be implemented to explore the efficient correlation between different parameters influencing the users’ behavior and facilitate the general application of the proposed technique. Originality/value The paper applied a fuzzy design methodology in which several attributes related to the service of digital library and the affiliated online resource provisions are used to assess their synchronous impact on user convenience in accessing and manipulating the library information. End-users’ satisfaction is crucial for quality-based valuation of compliance with the time limitations and proficiency of digital libraries.

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Section: Literature Reviewmentioning

confidence: 99%

Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic

Mehta

2021

DLP

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“…Two papers took a broad look at both migration and maintenance (Stigler & Steiner, 2018; Thomer & Twidale, 2014). And finally, 11 papers discuss migration as a background or tangential concern (Breeding, 2002; Brush & Jiras, 2019; Byrne, 2014; Gentry et al, 2021; Kansa, 2005; Kipnis MSI et al, 2019; Knight‐Davis et al, 2015; Liu & Zhou, 2011; Rieh et al, 2008; Rosenthaler et al, 2015; Yin et al, 2020). …”

Section: Resultsmentioning

confidence: 99%

“…In their case, this meant a need for collaboration between traditional library expertise, and more technical components of a migration. Brush and Jiras (2019), Davis (2015) and Madsen and Oleen (2015) noted a similar experience of relying on multiple areas of expertise within their library or institutional repository. Some also recommended consultation with the IT department as a first step in a migration project (Byrne, 2014;Fallaw, 2021).…”

Section: The Role Of Collaboration and Cooperationmentioning

confidence: 97%

Maintaining Repositories, Databases, and Digital Collections in Memory Institutions: An Integrative Review

Andrea

Joseph

Alexandria

et al. 2022

Proceedings of the Association for Information Science and Tech

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Database maintenance and migration are critical but under‐supported activities in libraries, archives, museums (LAMs), and other scholarly spaces. Existing guidelines for digital curation rarely account for the maintenance needed to keep digital curation infrastructures functioning over time. Though many case studies have been published describing individual instances of migration, there has been little generalizable research done in this area. Thus, it is challenging to understand overall trends or best practices in this space. We bridge this gap by conducting an integrative literature review of papers describing database migrations and maintenance in LAMs and other scholarly contexts. By qualitatively coding 75 articles from 58 publication venues, we identify common motivations for database migrations and maintenance actions. We find that databases are migrated to support changing user needs as well as to ward off technological obsolescence; we also find that common challenges include schema crosswalking and a need for data cleaning. Practitioners describe community collaboration as key in surmounting these challenges. Through this integrative review, we build a base for further best practices development and identify a need to better model database curation as part of the digital curation lifecycle.

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“…The study further highlighted that the maximum repositories show a multidisciplinary nature (Figure 1). Although such repositories are intended to collect information from scattered journal articles, other forms of research publications and grey literature, such as a dissertation, patents and non-peer-reviewed papers, can also be archived to offer a wider outlook on the host academic institution's purview of interests and accomplishments (Brush and Jiras, 2019). The same portal also hosts complete journal archives produced and maintained by the university.…”

Section: Discussionmentioning

confidence: 99%

The status of open access repositories in the field of technology: insights from OpenDOAR

Wani,

Sofi,

Sofi

et al. 2023

IDD

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Purpose Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution. Design/methodology/approach The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe. Findings The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”. Research limitations/implications The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas. Practical implications The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study. Originality/value The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.

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Developing an institutional repository using Digital Commons

Cited by 6 publications

References 8 publications

Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic

Digital library service model for predictive analysis of user satisfaction based on multivariate fuzzy logic

Maintaining Repositories, Databases, and Digital Collections in Memory Institutions: An Integrative Review

The status of open access repositories in the field of technology: insights from OpenDOAR

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