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The purpose of this study was to investigate metadata creation practices in a functional academic institution repository in Malawi, with a specific focus on the Lilongwe University of Agriculture and Natural Resources (LUANAR) library.

The study used a qualitative approach with a case study design. The study adopted a case study strategy that focuses on the in-depth, holistic and in-context examination of one or more cases. The researcher used non-probability purposive sampling to include all three LUANAR Digital Repository (LDR) staff at LUANAR library because they were thought to be knowledgeable about the LDR metadata work. The three library staff members directly involved in repository metadata were investigated for the study. Data collection techniques used in a case study approach included semi-structuring face-to-face interviews and documentary analysis. Data from interviews and documentary reviews were manually analyzed and presented in thematic categories based on the study’s objectives.

Qualified Dublin Core (DC) was chosen by all participants as the only metadata structure scheme that they will use to create and implement metadata in the repository. DC application profile was the only scheme used to enforce uniform naming and capitalization conventions in the application of Qualified DC element definitions. The scheme, however, was discovered to be the Qualified DC default format in the DSpace system. All participants indicated that the Agricultural Organization of the United Nations Vocabulary is used. Participants highlighted that institutional repository system compatibility, the subject matter of the resources, resource types and staff expertise influenced the selection criteria for the metadata schemes. The repository policy had been developed but had yet to be adopted by the LUANAR management.

The current study was limited to LUANAR library. A wider study across public and private universities in Malawi is needed to ascertain the role of metadata policy, technical knowledge and metadata specialist institutional repositories.

Metadata policy is to aid in the understanding of the data, ensuring that appropriate security measures are used to protect the data and for metadata harvesting purposes.

Academic libraries should lobby for management support towards metadata policy for institutional repositories.

Very little is known about challenges affecting the growth of institutional repositories and standards adopted, including metadata harvesting. This paper bridges the gap in metadata standards for institutional repositories in developing countries.

This paper examines user generated social media content bearing on consumers’ attitude and belief systems taking the domain of natural food product as illustrative case. This research sheds light on how consumers think and talk about natural food within the context of food well-being and health.

The authors used a keyword-based approach to extract user generated content from Twitter and used both food as well-being and food as health frameworks for analysis of more than two million tweets.

The authors found that consumers mostly discuss food marketing and less frequently discuss food policy. Their results show that tweets regarding naturalness were significantly less frequent in food categories that feature naturalness to an extent, e.g. fruits and vegetables, compared to food categories dominated by technologies, processing and man-made innovation, such as proteins, seasonings and snacks.

This paper provides numerous implications and contributions to the literature on consumer behavior, marketing and public policy in the domain of natural food.

The authors’ exploratory findings can be used to guide food system stakeholders, farmers and food processors to obtain insights into consumers' mindset on food products, novel concepts, systems and diets through social media analytics.

The authors’ results contribute to the literature on the use of social media in food marketing on understanding consumers' attitudes and beliefs toward natural food, food as the well-being literature and food as the health literature, by examining the way consumers think about natural (versus man-made) food using user generated content of Twitter, which has not been previously used.

This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.

In this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy.

This paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes.

Early career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields.

This study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies.