A SUMMARY ON DATA STORAGE BY EDNA KALIZA (MLIS0725)



Data Storage

In research data storage refers to the systematic process of preserving, organizing, securing, and maintaining research data to ensure that it remains accessible, reliable, and usable throughout and after the research process. Proper storage of research data is essential in academic research because it promotes data security, supports ethical compliance, enhances research integrity, and enables future reuse of data by other researchers (Corti et al., 2020).

Research data may exist in various forms such as questionnaires, interview transcripts, audio recordings, videos, laboratory findings, databases, and spreadsheets. These data require appropriate storage solutions depending on their sensitivity, format, and size. According to Briney (2015), effective research data management involves proper organization, documentation, backup, and preservation of research data to prevent loss, corruption, or unauthorized access. Researchers are therefore encouraged to use reliable storage systems such as institutional servers, cloud-based platforms, external hard drives, and institutional repositories.

Data security is a critical aspect of research data storage. Sensitive research information, particularly personal data collected from participants, should be protected through passwords, encryption, and controlled access measures to ensure confidentiality and compliance with ethical standards. Regular backup of research data is also important in minimizing the risk of data loss resulting from hardware failure, cyberattacks, or accidental deletion (Briney, 2015). Furthermore, the use of metadata and standardized file naming conventions improves data retrieval, interpretation, and sharing among researchers (Corti et al., 2020).

In African universities, research data storage remains a developing area due to challenges such as limited infrastructure, inadequate policies, and insufficient technical skills. Chawinga and Zinn (2020) found that research data management at a public university in Malawi depends on collaboration among librarians, researchers, and information technology specialists, referred to as the “three hands” approach. This collaboration enhances effective storage, accessibility, and preservation of research data.

Institutional repositories also play a significant role in research data storage and preservation. Dube (2025) explains that academic libraries increasingly use institutional repositories as secure platforms for storing and preserving research data for long-term access and visibility. Similarly, Mosha and Ngulube (2023) observed that higher learning institutions in Tanzania are increasingly utilizing open research data repositories to facilitate data sharing, collaboration, and accessibility among researchers.

Overall, effective research data storage strengthens research quality, transparency, accountability, and long-term knowledge preservation in higher education institutions.

References

Briney, K. (2015). Data management for researchers: Organize, maintain and share your data for

  research success (2nd ed.). Pelagic Publishing.

Chawinga, W. D., & Zinn, S. (2020). Research data management at a public university in Malawi:

 The role of “three hands.” Library Management, 41(6–7).

  https://doi.org/10.1108/LM-03-2020-0042

Corti, L., Van den Eynden, V., Bishop, L., & Woollard, M. (2020). Managing and sharing

  research data: A guide to good practice (2nd ed.). SAGE Publications.

Dube, T. V. (2025). Research data management in academic libraries: Institutional repositories as

  a reservoir for research data. Library Management.

  https://doi.org/10.1108/LM-06-2024-0070

Mosha, N. F., & Ngulube, P. (2023). The utilisation of open research data repositories for storing

  and sharing research data in higher learning institutions in Tanzania. 





 

Comments

Post a Comment

Popular posts from this blog

A SUMMARY ON SELECTION AND APPRAISAL OF DATA

Image
A SUMMARY ON SELECTION AND APPRAISAL OF DATA Selection and appraisal of data are important activities in research data management and digital curation, because they help institutions to identify, preserve, and provide access to variable and reliable research information for future use. In digital curation, selection involves determining which datasets, digital records, or research materials should be retained, while appraisal refers to evaluating their long-term significance based on factors such as research value, originality, authenticity, legal requirements, ethical issues, and potential for reuse (Higgins, 2008). The continuous increase in digital research output, big data, and open science practices has made effective appraisal procedures more necessary in libraries, archives, and research institutions. Cox et...al. (2019) note that academic libraries are increasingly expected to support researchers throughout the research data lifecycle, including during the selection and app...
Read more

SUMMARY ON DATA COLLECTION AND REPOSITORIES

Image
  SUMMARY ON DATA COLLECTION AND REPOSITORIES Data collection and repositories are central components of effective research data management (RDM), ensuring that data is not only generated systematically but also preserved and made accessible for future use. Data collection refers to the structured process of gathering information through methods such as surveys, interviews, observations, or document analysis. In RDM, emphasis is placed on producing high-quality, reliable, and well-documented data. This includes the use of standardised procedures and tools, as well as the creation of metadata that describes the content, methodology, and structure of the data. Proper documentation enhances data integrity and enables reuse, which aligns with the FAIR principles ensuring that data is findable, accessible, interoperable, and reusable (Wilkison et...al., 2016). The Digital Curation Centre (DCC) Lifecycle Model highlights data collection within the “create or receive” stage, emphasi...
Read more