Joyce Ntchafu's Blog (MLIS 2225) - Pure Academic Work

  Data reuse success stories: how to ensure your data is reused Researchers create data using different methods during the research lifecycle. These data are used for primary research and published in papers or research reports. Making them available for later reuse.   Using data is the immediate, intended application of a dataset while data reuse occurs when existing information is taken and applied to a new problem, often by entirely different stakeholder. Data reuse depends on factors such as users’ IT (information and technology) skills and their ability to find, access and work with datasets (Boté & Térmens, 2019). Some of the things to consider for data use and reuse are as follows:   explore different sources for reusable data, look for value added databases with curated content; check whether there is sufficient metadata to enable data reuse; assess the quality of the data, check if the data adheres to a standard; verify that the data has been ethically co...

  Figure 1 How to store data for 1 000 years (BBC)   Storing data refers to the process of saving digital information in physical or cloud-based systems. , The process is essential for keeping organization data accessible, secure, and usable for both decision making and day to day operations (Vurukonda & Rao, 2017). Modern computing relies on several types of storing data. Primary storage, include Random Access Memory) RAM), which temporality holds data actively being processed. Secondary storage provides long-term retention through devices like hard discs drives, solid state drives, flash discs, and optical discs. Because these devices retain data without power, they are essential for permanent storage. Cloud storage has also grown widely, letting users and organizations store data on remote servers’ accesses over the internet. It offers scalability, flexibility, and remote access (Huynh et al., 2021). Benefits of storing data Storing data provides several benefi...

Critical Appraisal of the Literature Selection and appraisal are essential processes in data curation and records management because they ensure that valuable research data and records are preserved for future use (Yakel, 2007). Selection and appraisal play a key role in ensuring that only data of significant value and quality are kept. As noted by the Digital Curation Centre, appraisal enables institutions to determine which digital materials should be preserved for long term and which can be discarded to reduce unnecessary costs and avoid duplication. Appraisal involves evaluating records and datasets to determine which materials should be preserved permanently, which should be kept for a specified period, and which should be destroyed. The Australian Records Management Standard S 4390, defines appraisal as the evaluation of records to determine their retention and disposal status. Similarly, Harvey (2007) explains that selecti...

  Data Collection: Method types and tools   Knowledge clip: Data repositories   Data collection and repository play a pivotal role in the management, preservation and dissemination of Knowledge.   Understanding these two concepts is important because they shape how information is generated, organized, accessed and preserved. This paper summarises the two topics. Data collection is the systematic process of gathering information for a specific purpose such as research, planning, evaluation, or decision making (Creswell & Creswell, 2018).   In Libraries, data collection is necessary for assessing user satisfaction, measuring performance, identifying information needs and improving service delivery. Data can be categorized using different ways including quantitative and qualitative (Taherdoost, 2021). Bryman (2016) states that there are two broad categories of data collection: primary and secondary methods. Primary data is gathered directly through survey...