Overcoming barriers to climate change information management in small island developing states: lessons from pacific SIDS

Bibliographic classification is among the core activities of Library & Information Science that brings order and proper management to the holdings of a library. Compared to printed media, digital collections present numerous challenges regarding their preservation, curation, organization and their resource discovery and access. In this regard true native perspective is needed to be adopted for bibliographic classification in digital environments. In this research article, we have investigated and reported different approaches to bibliographic classification of digital collections. The article also contributes two evaluation frameworks that evaluate different classification schemes and elaborate different approaches that exist in theory, in manual practice and automatically in digital environments. The article presents a bird-eye-view for researchers in reaching a generalized and holistic approach towards bibliographic classification research, where new research avenues have been identified.

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Bibliographic Classification in the Digital Age: Current Trends & Future Directions

User Perception of the U.S. Open Government Data Success Factors by Joy Alatta MS Walden University, USA, 2018 MS, Middlesex University London, UK, 2001 MBA, Lagos State University, Nigeria, 1998 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Information Technology Walden University 2020 Abstract This quantitative correlational study used the information systems success model to examine the relationship between the U.S. federal departments’ open data users’ perception of the system quality, perception of information quality, perception of service quality, and the intent to use open data from U.S. federal departments. A pre-existing information system success model survey instrument was used to collect data from 122 open data users. The result of the standard multiple linear regression was statistically significant to predict the intent to use the U.S. open government data F(3,99) = 6479.916, p <0.01 and accounted for 99% of the variance in the intent to use the U.S. open government data (R2= .995), adjusted R2= .995. The interdependent nature of information quality, system quality, and service quality may have contributed to the value of the R2. Cronbach’s alpha for this study is α=.99, and the value could be attributed to the fact that users of open data are not necessarily technical oriented, and were not able to distinguish the differences between the meanings of the variables. The result of this study confirmed that there is a relationship between the user’s perception of the system quality, perception of information quality, perception of service quality, and the intent to use open data from U.S. federal departments. The findings from this study might contribute to positive social change by enabling the solving of problems in the healthcare, education, energy sector, research community, digitization, and preservation of e-government activities. Using study, the results of this study, IT software engineers in the US federal departments, may be able to improve the gathering of user specifications and requirements in information system design.This quantitative correlational study used the information systems success model to examine the relationship between the U.S. federal departments’ open data users’ perception of the system quality, perception of information quality, perception of service quality, and the intent to use open data from U.S. federal departments. A pre-existing information system success model survey instrument was used to collect data from 122 open data users. The result of the standard multiple linear regression was statistically significant to predict the intent to use the U.S. open government data F(3,99) = 6479.916, p <0.01 and accounted for 99% of the variance in the intent to use the U.S. open government data (R2= .995), adjusted R2= .995. The interdependent nature of information quality, system quality, and service quality may have contributed to the value of the R2. Cronbach’s alpha for this study is α=.99, and the value could be attributed to the fact that users of open data are not necessarily technical oriented, and were not able to distinguish the differences between the meanings of the variables. The result of this study confirmed that there is a relationship between the user’s perception of the system quality, perception of information quality, perception of service quality, and the intent to use open data from U.S. federal departments. The findings from this study might contribute to positive social change by enabling the solving of problems in the healthcare, education, energy sector, research community, digitization, and preservation of e-government activities. Using study, the results of this study, IT software engineers in the US federal departments, may be able to improve the gathering of user specifications and requirements in information system design. User Perception of the U.S. Open Government Data Success Factors by Joy Alatta MS Walden University, 2018 MS, Middlesex University London, 2001 MBA, Lagos State University, Nigeria 1998 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Information Technology Walden University 2019 Dedication I dedicate this study to the memory of my late mother, who advocated for equal educational opportunity for the girl child and imbibed in me the importance of getting a quality education. Acknowledgments I give glory to God for the grace to make the doctorate dream a reality. Despite all the distractions and drama of life, God strengthened me and gave me the wisdom to have a laser-sharp focus on HIM because His grace is sufficient for me. Glory be to God for having given a loving family, especially my sister Chidinma, who unknowingly laid the foundation for my career in information technology when she paid for my first training in the use of computers. Thank you all for all the support. I am very grateful to my dissertation committee chairperson Dr. Nicholas Harkiolakis, whose mentorship, timely provision of feedback, leadership, and advice enabled me to learn from him and keep focused on completing the study. I am grateful to Dr. Jodine Burchell as my dissertation committee member, whose thoroughness and inputs supported my progress. I am also thankful to Dr. Steven Case as the university research reviewer for his valuable contributions to my study and mentorship at the DIT residency sessions. All the participants that spared a portion of their time to complete the questionnaire for this study are the stars that helped the light of this study to shine, and I appreciate your support and inputs. The journey to concluding this study was difficult, but other DIT students helped to lighten the burden. I give you all a shout out appreciation and wish you successful completion of your research.

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User Perception of the U.S. Open Government Data Success Factors

This article highlights the practical experiences about the implementation of LIDO metadata schema in DSpace for managing museum and cultural resources. LIDO is a domain specific metadata schema fo...

Integration of Domain-Specific Metadata Schema for Cultural Heritage Resources to DSpace: A Prototype Design

Digital communication produces millions of emails, text messages, movies, images, and much more every day. As with all historical records, digital records are important to preserve because they allow us to study the past. There are, however, several challenges regarding their preservation. Unlike many of their analogue counterparts, digital records rely on a combination of hardware and software to be accessible, but hardware and software eventually degrade and become obsolete. This makes digital records inaccessible because the means to render them are no longer available. In addition to these technological challenges, there are issues surrounding appraisal, copyright, significant properties, and metadata. This thesis studies the challenges of digital preservation and what is being done to address them. I begin by introducing the challenges surrounding this topic and the methods of preservation that are currently available to archivists. I then analyse leading digital preservation standards such as the Reference Model for an Open Archival Information System (OAIS) and Preservation Metadata: Implementation Strategies (PREMIS) as well as digital preservation systems including Archivematica and Preservica. I also conduct a case study of Archivematica to analyse how well it manages the challenges of digital preservation. I conclude by explaining that there are no perfect solutions to digital preservation problems. The best that can currently be done is to manage the issues rather than solve them.

Another bit bytes the dust: the technological and human challenges of digital preservation

Information resources are available in various kinds of media and forms. To describe them there exists number of diverse metadata standards and schema. Metadata is crucial for preservation and archiving, organisation, resource discovery and information retrieval across platforms. As one metadata standard cannot be applicable for all the emerging media and document formats, a combination of them is used. In this context the present paper presents an overview on types of metadata standards and schemas, and also discusses on the issues and challenges in metadata creation, management, interoperability, and resource discovery.

P. Ramesh

Papers

Metadata Diversity, Interoperability and Resource Discovery Issues and Challenges