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National Science and Technology Forum (NSTF)

Research Software Awards

About the Award

These awards are for outstanding contributions to science, engineering, technology (SET) and innovation through the development, maintenance, or extension of research software that has enabled research within the South African context.

Two awards will be made under this category:

  • Research Software – contribution that enables research in any scientific field, including humanities and social sciences (HSS)
  • NSTF-SADiLaR Research Software: Human Language Technologies (HLT) – contribution that enables the processing, understanding, generation, or analysis of human language in written, spoken, or signed form (Sponsor: South African Centre for Digital Language Resources – SADiLaR)

 

These awards acknowledge the work of an individual or a team (including, for example, postgraduate students, researchers, research software engineers/developers, computational scientists, data scientists, software maintainers, and digital humanists) for their role in the development, maintenance or extension of research software that has enabled scientific discovery in South Africa (SA), while promoting best practices in openness, sustainability and collaboration. It seeks to strengthen the emerging community of practice around research software by highlighting research software as a first-class research output and its creators as key contributors to the national science, technology, and innovation ecosystem.

Definitions:

  • Research Software includes source code files, algorithms, scripts, computational workflows and executables that were created during the research process or for a research purpose. Gruenpeter, et al (2021)
  • Human Language Technologies (HLT) encompass computational methods, software, and systems that enable the processing, understanding, generation, or analysis of human language in written, spoken, or signed form. Applications of HLT include natural language processing (NLP), speech and text analyses, corpus development and annotation, machine translation, linguistic modelling, and digital humanities research.

Licensing and Access: This award recognises research software contributions irrespective of licensing model (including open-source, proprietary, and unlicensed software). Applicants must declare the licence or access conditions and provide links or documentation. The evaluation will favour good open practices (e.g. the use of OSI-approved licences, documentation, citation metadata, and community pathways) where appropriate.

Eligibility by sector: Where research software was developed by external consultants, companies, or independent professionals, the nomination must reflect the collaborative nature of the work and acknowledge both the intellectual leadership and the technical development contributions.

Please indicate if the software was developed in collaboration with an external consultant or company. If so:

  • The Principal Investigator (PI) or Lead Researcher (affiliated with a government-funded academic institution or research organisation) must be listed as the nominated individual or team leader
  • The development partner/s (e.g. company, consultant, or independent professional) should be listed as team members or collaborators in the nomination
  • The nomination should clearly describe the respective roles of the researcher/s and the development partner/s, including who led the conceptualisation, design, and implementation
  • The award will be made to the research project team, recognising both the scientific leadership and the software development expertise that enabled the research software

 

Note: Nominations where the software was entirely developed by an external contractor without substantive research leadership or engagement from the research team will not be eligible.

Timeframe of Eligibility: The award recognises research software that has been actively developed, maintained, or substantially used for research within the past 10 years, regardless of when the software was first released. Software developed earlier may still be eligible if it has demonstrated sustained impact, reuse, or continued contribution to research during this period. Software that is no longer maintained is not eligible.

Long-Term Sustainability: Long-term sustainability refers to the extent to which measures are taken to ensure the software remains accessible, usable, and valuable to the research community over time. It may include its adaptability, documentation, community engagement, and maintenance practices.

The award will prioritise software that follows recognised best practices to ensure its long-term availability. This includes clear licensing, version control, documentation, and archiving practices that enable others to validate research findings underpinned by the software. Software that demonstrates good stewardship – ensuring that code, data, and workflows remain accessible and verifiable over time will be rated more highly.

Evaluation Framework (for reference): Applications will be assessed using the following criteria (please reference the nomination form):

Category Grouping

Group Weight

Criterion

Weight

Contribution & Innovation

50%

Background and Context

15%

Research and Development Process

20%

Outputs and Achievements

15%

Impact & National Relevance

25%

Application and Impact

15%

Relevance and Value to SA

10%

Capacity building, sustainability & recognition

25%

Capacity Development and Community Building

10%

Sustainability and Future Vision

10%

Recognition and Influence

5%

 

NSTF-South32 Awards

SPONSORS AND PARTNERS

The NSTF supports the principle of collaborative, widely-inclusive awards and welcomes collaboration with members and other organisations interested, such as the following:

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