DATA COLLECTION AND REPOSITORIES SUMMARY

  

 

 

 

Data collection and repositories are essential components of modern research and information management. Data collection refers to the systematic process of gathering, measuring and analyzing information to answer research questions, test hypothesis or support decision making. Depending on the nature of the study and type of data required, researchers use surveys, observations, interviews, experiments and document analysis as methods of data collection (Leavy, 2023). Effective data collection is essential because the quality, reliability and validity of research findings largely depend on the accuracy and consistency of collected data (Taherdoost, 2022).

In the digital age, the rapid growth of scientific and institutional research has increased the need for proper data storage, preservation and sharing. This has led to the development of research data repositories which are digital platforms designed to store, manage, preserve and disseminate datasets and other research outputs (Assante et al., 2016). Repositories enable researchers, institutions and the public to access data for verification, reuse, collaboration and future studies. According (Mosha & Ngulube, 2026), repositories contribute significantly to transparency, reproducibility and innovation in scientific research by ensuring that data remains accessible over time.

Research repositories are categorized into institutional, disciplinary or general purpose. Institutional repositories are managed by universities or research organizations to preserve the intellectual output of their institutions while disciplinary repositories focus on specific academic fields such as medicine, agriculture or humanities (Assante et al., 2016). General repositories such as Zenodo and Figshare accommodate datasets from multiple disciplines. These repositories often use identifiers such as Digital Object Identifier (DOIs) to improve traceability, citation and long term accessibility of research data (Assante et al., 2016; Mosha & Ngulube, 2026).

Figure 1: An example of an institutional repository

The importance of repositories has increased with the emergence of open science and FAIR data principles which emphasize that research data should be Findable, Accessible, Interoperable and Reusable. Open repositories support knowledge sharing, reduce duplication of research efforts and increase research visibility and citation impact thereby enhancing scholarly communication and scientific advancement (Mosha & Ngulube, 2026).

Despite their benefits, several challenges affect data collection and repository management. These include lack of institutional policies, inadequate technical infrastructure, concerns about data ownership and privacy, limited researcher skills in data management and insufficient funding (Chawinga & Zinn, 2021; Mosha & Ngulube, 2026). Many researchers still store data on personal devices which increases the risk of data loss and limits accessibility and collaboration. Institutions are therefore encouraged to develop clear policies, provide training and establish secure and trusted repositories to support effective research data management (Mannheimer et al., 2019).

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REFERENCES

Assante, M., Candela, L., Castelli, D., & Tani, A. (2016). Are Scientific Data Repositories Coping with Research Data Publishing ? Data Science Journa, 15(6), 1–24. http://dx.doi.org/10.5334/dsj-2016-006

Chawinga, W. D., & Zinn, S. (2021). Research Data Management in Universities : A Comparative Study from the Perspectives of Librarians and Management Research Data Management in Universities : A Comparative Study. International Information & Library Review, 53(2), 97–111. https://doi.org/10.1080/10572317.2020.1793448

Leavy, P. (2023). _OceanofPDF.com_Research_Design_-_Patricia_Leavy (Second). The Guilford Press.

Mannheimer, S., Pienta, A., & Elman, C. (2019). Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges. American Behavioural Scientist, 63(5), 1–20. https://doi.org/10.1177/0002764218784991

Mosha, N. F., & Ngulube, P. (2026). The utilisation of open research data repositories for storing and sharing research data in higher learning institutions in Tanzania. 44(8), 566–580. https://doi.org/10.1108/LM-05-2023-0042

Taherdoost, H. (2022). Data Collection Methods and Tools for Research ; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects. International Journal of Academic Re Search in Management (IJARM), 10(1), 10–38.