Edward Maluwa

  Using and Reusing data-Summary Borgman (2015) defined using and reusing data as the process of applying collected information for decision-making, research, problem-solving, and innovation, while also allowing existing data to be used again for purposes different from the original intention. In modern organisations, academic institutions and governments, data is considered an important asset as it supports evidence-based planning hence improving efficiency. Data use involves analysing and interpreting information to meet specific objectives while data reuse involves accessing previously collected datasets for secondary analysis, validation of results, or new research studies (Johnson, 2017). The reuse of data has become increasingly important in research and information management because it helps save time, reduce research costs and avoid duplication of effort. Researchers can reuse data from earlier studies to compare findings, identify trends or answer new research questio...

Storing Data- Summary Data storage refers to the process of recording, preserving, and managing digital information for future use. In the modern digital era, organizations, governments, educational institutions, and individuals rely heavily on data storage systems to keep important information secure and accessible. Effective storage of data is essential because it supports communication, decision-making, business operations, research, and service delivery. According to Stair and Reynolds (2020), data storage technologies are fundamental components of information systems because they allow users to save and retrieve information efficiently. Primary storage refers to temporary memory that stores data currently being processed by a computer. RAM is a great example which allows quick access to active data and applications. RAM is volatile, meaning the stored data is lost when power is turned off (Shelly & Vermaat, 2018). Secondary storage provides permanent storage for data and inclu...

  Selection and Appraisal of Data- Summary Selection and appraisal of data are important processes in records management, digital curation, and research data management (UK Data Service,2019). The processes help organisations determine which data should be preserved, maintained, shared, or discarded. Institutions generate large volumes of digital and physical information daily hence it becomes impossible and expensive to retain all data permanently. Therefore, selection and appraisal ensure that only valuable, reliable, and relevant data are preserved for future use (Shepherd & Yeo, 2003). Data selection refers to the process of identifying and choosing data that are considered important for long-term retention or preservation (International Council on Archives, 2016). The main aim of data selection is to retain information that has administrative, legal, historical, cultural, or research value. Selection decisions are often based on specific criteria such as the uniqueness...

Data Collection and Repositories In the modern information-driven environment, organizations and research institutions rely heavily on data for decision-making, planning, and policy formulation. The processes of data collection and the use of data repositories are central to effective information management and governance. Data collection ensures that relevant and accurate information is gathered, while data repositories provide structured storage, preservation, and access to that information. They both form critical components of the data life-cycle and contribute to knowledge creation, transparency, and accountability in institutions such as universities and government organizations. Data collection refers to the systematic process of gathering, measuring, and recording information from various sources to answer research questions, support decision-making, or generate new knowledge (Creswell, 2014). It can be conducted using qualitative methods (such as interviews, observations,...