DevOps for information management systems

Purpose Development and operations (DevOps) is complex in nature. Organizations are unsure how to effectively establish a DevOps capability for the continuous delivery of information management systems. This paper aims to compile and analyze DevOps by applying the well-known systematic literature review (SLR) approach. This review is intended to provide a knowledge base to support the informed, effective and less risky adoption of DevOps for information management systems. Design/methodology/approach In this qualitative research study, the SLR method was applied to identify 3,790 papers, of which, 32 relevant papers were selected and reviewed. Findings The results are organized using the well-known ISO/IEC 24744 metamodel elements: people (roles), process, technology and artifacts. In total 11 major roles, 6 processes, 23 technologies, 5 artifacts and 7 challenges (including 6 corresponding solutions) were found. DevOps engineer is becoming a newly identified role. Continuous delivery pipeline and continuous improvement are the most highlighted major DevOps processes. Build system technology is becoming the key focus of DevOps. Finally, major challenges are around people and culture and the misunderstanding of DevOps. Potential research areas are: DevOps analytics, artifacts and tool–chain integration. Research limitations/implications The research findings will serve as a resource for both practitioners and researchers who have interest in the research and adoption of DevOps for information management systems. Originality/value This paper provides a comprehensive systematic review of the body of knowledge to support the ongoing research and adoption of emerging trends of DevOps for information management systems.

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Toward a metadata model for research information management systems

Library Hi Tech ◽

10.1108/lht-01-2018-0013 ◽

2018 ◽

Vol 38 (3) ◽

pp. 577-592 ◽

Cited By ~ 1

Author(s):

Dong Joon Lee ◽

Besiki Stvilia ◽

Shuheng Wu

Keyword(s):

Information Management ◽

Design Methodology ◽

Management Systems ◽

Structured Interviews ◽

Research Information ◽

Content Type ◽

Metadata Model ◽

Significant Relationships ◽

Participation Level ◽

Information Management Systems

Purpose The purpose of this paper is to examine the relationships between researcher characteristics and their use of metadata in their ResearchGate profiles. Design/methodology/approach This paper reports on one part of a larger study that examined researchers’ use of and engagement with research information management systems (RIMSs). The study’s design included qualitative, semi-structured interviews with 15 researchers and a survey completed by 412 researchers. Detailed reports of findings from the interviews and survey can be found elsewhere. This paper reports on the part of the study that analyzed the use of metadata elements in the ResearchGate profiles of 126 survey participants. Findings Most researchers shared metadata related to their research rather than their teaching or service. Statistical analyses revealed statistically significant relationships between researchers’ metadata use and their participation levels in RIMSs, as well as between metadata use and researchers’ seniority. Originality/value The study’s findings help to identify researchers’ priorities for different metadata elements, as well as to construct profile metadata templates for each specific participation level.

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Key features of information management systems (IMSs) for automation in university libraries: a view point of information professionals in Pakistan

Library Hi Tech ◽

10.1108/lht-04-2020-0087 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Shakeel Ahmad Khan ◽

Ghulam Ayesha

Keyword(s):

Information Management ◽

Management System ◽

Information Management System ◽

Management Systems ◽

University Libraries ◽

Content Type ◽

Library Automation ◽

Information Management Systems ◽

Key Features ◽

Practical Implications

PurposeThe purpose of this study is to investigate the key features of information management systems (IMSs) for automation in university libraries. This study also highlights the use of library information management systems in university libraries and the satisfaction of university librarians in using various IMS.Design/methodology/approachThis study is quantitative in nature. A survey research method has been applied to achieve the research objectives. Purposive sampling has been used to select the targeted population which consisted of 157 librarians working in university libraries. Data were collected through a web-based questionnaire. Descriptive and inferential statistics were applied to analyze the collected data by using SPSS software.FindingsFree and open source software are widely used in university libraries to manage the bibliographic information of library material. KOHA is the most used software for library automation in university libraries of Pakistan. The key features of library information management system (IMS) include reliability and security of the software, user-friendly interface, advance searching options, use of library standards (MARC, Uni MARC, RDA), online upgradation, technical support of developing company, shared cataloging, multilingual features of software, etc (See Figure 4). The study recommends that the above-mentioned features must be considered by university librarians when selecting any software for library automation. Results showed that apart from the use of KOHA software, there are also some other software which are being used for library automation in university libraries of Pakistan. These systems include; Virtua, Library Management System (LMS), and Library Information Management Systems (LIMSs).Practical implicationsThis study has practical implications for university librarians in Pakistan as well as in other countries. Librarians can use the results of this study as a blueprint before selecting any information management system to automate the library record.Originality/valueThis study identifies the core features of IMS for automation in libraries. These features have been recommended by informational professionals who have been working in automated libraries and possess adequate professional experience in using library automation software.

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