Digital Content Management

For years, virtual learning has been proposed as a dominant approach to overcome the limitations of traditional education. The spread of emerging technologies and the connection of citizens to the Internet has made virtual courses much more accesible than before. As the citizens of the third millennium refer to electronic shopping centers to purchase their goods, they expect to receive the instruction they require through virtual means. This trend, along with the increasing expectations, has created a gap between the current and the desired situation in the education process. Digital content management is considered as a facilitator to respond to emerging requirements. In this article, while explaining the dimensions of transformation in Virtual learning, the importance of digital content management in improving the effectiveness of virtual learning has been emphasized. The article would be a starting point for further research on the integration of digital content management in the virtual learning process.

Purpose: The research aims to visualize and analyze co-word network, and thematic clusters of the intellectual structure in the field of digital content management during 2010-2020. Method: The study is applied research with a descriptive approach which is conducted by techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by SPSS, UCINet, and Python programming language. Findings: 8 main clusters are identified. The cluster multimedia content management & retrieval is the most mature and central thematic cluster. The USA and various sub-categories of Computer Science are located in the top ranks of WOS in the field. Most productions were published in 2020. Generally, the Clusters were labeled in two contexts of health and LAM (Libraries, Archives, Museums, and cultural heritage). Conclusion: Content-based management and retrieval are focused on artificial intelligence, decision-supported, knowledge-based and ontological techniques which are conducted as novel approaches and underlying trends in the field.

Purpose The purpose of this paper is to review and analyze the management, pattern of “Digital Content” based on research published and represent an overview of subjects, methodologies, contexts, and other features which are highlighted in these works. Method: In this study, the systematic literature review was undertaken by retrieving the studies related to “Digital Content Management” published in February 2021 on several databases. Various information of papers collected became the basis for synthesis and analysis. In addition, all the studies were qualitatively evaluated for measuring the validity of researches to present in the synthesis by Evidence-Based Librarianship (EBL) critical appraisal checklist. Findings: the systematic review presents a systematic framework based on research' items in the “Digital Content Management” field. The items include research methodology, a data-gathering tool, and other elements. Conclusion: The hidden subjects in the literature review were extracted and classified. Finally, based on these classes and other extracted information, the goal of the paper was achieved.

Libraries have long been involved in content management due to their mission and task, but with the advent of the digital age, this content has changed from print to digital. Digital content management is related to storing, organizing, indexing and monitoring digital content used by an organization. Digital content can take many forms, including text files, documents, graphics, images, animations, and audio and video files. This book is a handbook consisting of 15 chapters in the field of research on digital content management and development in libraries, elaborating on various areas such as: Consortia, Digital Libraries, Digital Resource Management, EResources, Information Retrieval, Knowledge Management, Open Access, Repositories, RFID Technology. Even so, in this book, the research topics mentioned have not been studied in depth. In my opinion, considering the thematic importance of the book, it would be better to address newer research topics such as cloud computing, artificial intelligence, digital twins, virtual reality, research data management, etc. It is suggested that a new collection consisting of the chapters of the proposed areas be compiled.