UiTM Research Data Repository serves as a centralized platform dedicated to storing, managing, and disseminating research data produced by the faculty, staff, and students of Universiti Teknologi MARA (UiTM). As a leading institution in Malaysia, UiTM recognizes the critical role that research data plays in advancing knowledge across various disciplines. The repository ensures the preservation of valuable research outputs and promotes transparency, reproducibility, and collaboration within the academic community.

UiTM Research Data Repository facilitates interdisciplinary research endeavours, fostering innovation by providing access to diverse datasets spanning a wide range of fields. It contributes to the collective body of scholarly knowledge. With its user-friendly interface and robust infrastructure, the repository is vital for researchers, policymakers, and other stakeholders seeking reliable and accessible data for their endeavours.

It is universally acknowledged that researchers are interested in data of all kinds, regardless of origin or type. Here are some of the recognised definitions of research data:


"Research data, unlike other types of information, is collected, observed, or created, for purposes of analysis to produce original research results.”

- Edinburgh University Data Library Research Data Management Handbook -

"Research data means data in the form of facts, observations, images, computer program results, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based. Data may be numerical, descriptive, visual or tactile. It may be raw, cleaned or processed, and may be held in any format or media”

- The Queensland University of Technology Management of Research Data Policy -

"The recorded information (regardless of the form or the media in which they may exist) necessary to support or validate a research project’s observations, findings or outputs”

- The University of Oxford Policy on Management of Research Data and Records -

Research data represents significant value to researchers and the University, and good stewardship of research data is necessary to validate the outcomes and maintain the integrity of research results.

  • 1. Ensuring research integrity and reproducibility
  • 2. Increasing your research efficiency
  • 3. Ensuring research data and records are accurate, complete, authentic and reliable
  • 4. Saving time and resources in the long run
  • 5. Enhancing data security and minimising the risk of data loss
  • 6. Preventing duplication of effort by enabling others to use your data
  • 7. Complying with practices conducted in industry and commerce
  • 8. Facilitating the analysis of change, by providing data with which data at other points in time can be compared
  • 9. Meeting funding body grant requirements (if applicable)

Research Data Management (RDM) is "how you look after your data throughout your project. It covers the planning, collecting, organising, managing, storage, security, backing up, preserving, and sharing your data and ensures that research data are managed according to legal, statutory, ethical and funding body requirements" (Whyte, A. & Tedds, J., 2011). RDM occurs in every stage of the research lifecycle, not just at the end where all the data files are simply zipped up in a folder for storage.