SUNScholarData is a relatively new repository for Stellenbosch University’s research data having been born in 2019. Since its inception, the research data repository has shown plenty of promise in its contribution to the global visibility and impact of SU’s research datasets. Its success so far reflects SU’s commitment to open science, global visibility, societal impact and responsible research data management. Per international standards, the repository adheres to the FAIR principles (Findable, Accessible, Interoperable and Reusable).

The FAIR principles are essential for ensuring that research data repositories serve their purpose effectively. They help make data easy to locate, open to use, compatible across systems, and ready for future research. In practice, FAIR encourages clear metadata, consistent formatting, and thoughtful documentation, which supports transparency, reproducibility, and long-term value. For institutions, applying these principles is a strategic move: it strengthens data quality, supports responsible research assessment, and ensures that repository outputs are not just stored, but usable.

SUNScholarData is also the first African institutional research data repository that received the CoreTrustSeal certification. This certification signals that a research data repository meets internationally recognised standards for trustworthiness, transparency, and long-term stewardship. It validates that the repository has robust governance, clear data access policies, and sustainable infrastructure, all of which are critical for institutional credibility and responsible data management. For researchers and stakeholders, it offers assurance that deposited data will remain accessible, usable, and protected over time. In practice, CoreTrustSeal strengthens alignment with FAIR principles and supports strategic integration into global research ecosystems.

Below we provide an overview of some of the key statistics about the platform.

Repository Growth and Engagement

Total Deposits: 551 datasets have been archived, representing a broad spectrum of research outputs.

Contributor Base: 141 individual depositors have engaged with the platform, signalling widespread institutional participation.

Usage Metrics: Over 150,000 views and 30,000 downloads demonstrate sustained interest and practical reuse of hosted datasets.

Citation Count: 16 citations suggest growing scholarly recognition, with potential for increased uptake through enhanced discoverability.

Figure 1: SUNScholarData statistics 2019-2025

Disciplinary Reach

Disciplinary contributions span multiple faculties. This diversity reflects cross-disciplinary engagement, though further metadata refinement could improve attribution and reporting accuracy.

Figure 2: Datasets uploads per Faculty

Global Visibility

SUNScholarData has achieved notable international reach, with the United States accounting for over 120 000 views. Other top-viewing countries include South Africa, Germany, the UK, France, and Ireland – underscoring the repository’s relevance beyond national borders.

Figure 3: Global visibility of SUNScholarData

High-performing datasets:

Below are some of the datasets that appear to have had the highest impact in terms of views and downloads. In the table below, related articles published from the data were linked.

Figure 4: High-performing datasets

 

Dataset Publications linked to the data Views Downloads
Dwelling Informal Settlement Experiment 20 Dwelling Large-Scale Experiment of Fire Spread in Informal Settlements 2161 2774
N mineralisation data used to predict the response to fertilisation in semi-mature pine stands Modelling soil nitrogen mineralisation in semi-mature pine stands of South Africa to identify nutritional limitations and to predict potential responses to fertilisation 3366 538
Flexural properties of Pinus patula planted at different initial spacing The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing 2399 988
Supplementary information (videos) illustrating the reaction of a ewe to the odour of her own lamb versus that of another lamb Olfactory cue mediated neonatal recognition in sheep, Ovis aries 1701 2580
Oceanic_Al_Menzel A First Global Oceanic Compilation of Observational Dissolved Aluminum Data With Regional Statistical Data Treatment 2515 501
Erica species anthocyanin biosynthesis gene expression data Floral Color, Anthocyanin Synthesis Gene Expression and Control in Cape Erica Species 2717 568
Petrochemical blending problem instances On the solution of petrochemical blending problems with classical metaheuristics 2160 1031
Synthetic domestic hot water profile generator A probabilistic hot water usage model and simulator for use in residential energy management 1837 1102
Celtis africana metabolite profiles: Supplementary Materials Antibacterial activity and gas chromatography mass spectrometry (GC–MS)-based metabolite profiles of Celtis africana and its endophytic extracts 1659 843

The datasets listed above reflect notable engagement, with several attracting considerable attention through both views and downloads. For instance, the Dwelling Informal Settlement Experiment – linked to research on fire spread in informal settlements – received over 2,100 views and nearly 2,800 downloads, highlighting its relevance to urban safety and planning. Datasets tied to real-world issues like urban safety, environmental modelling, and agriculture are drawing thousands of views and downloads, which suggests they’re reaching the right audiences. This level of engagement suggests the repository is successfully enhancing both visibility and reuse of research outputs.

SUNScholarData provides Stellenbosch University with a certified, standards-aligned repository that supports responsible data stewardship and institutional credibility. By adhering to the FAIR principles, it ensures that research data is structured for long-term access, reuse, and interoperability, which are critical for reproducibility and strategic assessment. Its CoreTrustSeal certification affirms that governance, access policies, and infrastructure meet global benchmarks, positioning the university’s data outputs within trusted research ecosystems. SUNScholarData is consequently a durable asset for transparent, auditable, and future-ready scholarship that remains an important part of Stellenbosch University’s open research infrastructure. Its increasing use, varied content, and integration with institutional systems reflect steady progress in supporting data sharing and stewardship within the African research context.

Author: Kirchner van Deventer
Graphics: Marié Roux