Conveners
Session: Opening
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: DIRISA
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Session: Technical
- Ina Smith (Academy of Science of South Africa (ASSAf))
Welcome
by
Programme Director,
Mrs Ina Smith
Opening
by
NGEI Executive Manager
Dr Lulama Wakaba
Update on South African Cyberinfrastructure
Initiatives
by
Dr Happy Sithole
NICIS Centre Manager
How do we measure the impact of big data in
society?
by
DSI Deputy Director, Cyber Infrastructure
Mr Daniel Mokhohlane
The Africa PID Alliance’s overall objective is to produce DOIs in Africa through its open infrastructure and the integration of different identifiers to disseminate indigenous knowledge , cultural heritage and patent data.
The DOI being produced by the Africa PID Alliance is called the Digital Object Container Identifier (DOCiD TM) which is multilinear in nature ...
Moving large amounts of data poses a significant challenge. In most cases, networks optimised for business operations are neither designed nor capable of meeting the data movement requirements of data-intensive research. When scientists attempt to run data intensive applications over these so-called “general-purpose” or enterprise networks, the result is often poor performance. In many cases,...
The Sodium Absorption Ratio (SAR) is a critical metric used to assess the suitability of water for agricultural irrigation, reflecting the potential for sodium to accumulate in soil and negatively affect crop yield and the ecosystem. In South Africa, agriculture is a cornerstone of economic development, contributing significantly to GDP and employment. Identifying geographical locations with...
The rapid increase of Internet of Things (IoT) devices in smart agriculture has enabled a more connected and intelligent world. IoT devices are a collection of interconnected systems that can communicate, share data and information to achieve an automated environment. Smart agriculture presents a transformative approach to farming that leverages technology and data-driven solutions to address...
Abstract:
The Significance of CoreTrustSeal Certification: A Case Study of Stellenbosch University
Stellenbosch University’s (SU) recent achievement of CoreTrustSeal (CTS) certification represents a significant milestone in the institution's commitment to excellence in research data management. This certification, granted to its data repository, SUNScholarData, underscores the university's...
National assessments play a critical role in evaluating educational systems and informing policy decisions. However, the effectiveness of these assessments hinges on robust data management practices. This article delves into the evolving landscape of data management in national assessments, exploring how research data repositories and services can contribute to a more secure, accessible, and...
Ongoing technological advances in computing, data acquisition and the complex interactions of Sustainable Development Goals (SDG) create a natural Big Data environment for researchers and decision makers across fields and sectors to tap into. Identifying the triggers of SDG targets under such conditions is non-rivial, not only because of the large data dimensionality and non-orthogonality...
The National Policy Data Observatory (NPDO) is a government-led initiative, currently hosted at the CSIR, with the main objective to support data-driven decision making in government on various socio-economic interventions. The NPDO was initiated at the height of the Covid-19 pandemic by the DSI, supported by the CSIR, Statistics SA and South African Revenue Service. The NPDO leverages the...
Data mining and management play an important role in advancing water and sanitation systems, ensuring the sustainable delivery of essential services. The application of data mining encompasses the collection, processing, and analysis of vast datasets derived from various sources such as sensor networks, satellite imagery, and public health records. These techniques facilitate the...
Abstract. Temperature prediction is crucial in CNC machining to prevent overheating, tool damage, and surface finish quality. This study presents a big data analytics framework for intelligent temperature prediction in CNC machining using Principal Component Analysis (PCA) and Artificial Intelligence (AI). The following methodology has been followed during the CNC machining of EN18 Steel: data...
Wrap Up Day 1
by
Mrs Ina Smith
Programme Director;
Abstract: Analysis of land use/land cover (LULC) in the catchment areas is the first action toward safeguarding the freshwater resources. The LULC information in the watershed has gained popularity in the natural science field as it helps water resource managers and environmental health specialists develop natural resource conservation strategies based on available quantitative in-formation....
Abstract. Most Eastern Cape rural schools operate in a disadvantaged context and are struggling to raise standards. In many rural areas, access to quality education and access to devices or other resources in information technology and computer science may be limited, making such an initiative particularly impactful.
The current state of high schools has a huge impact on students going to...
Data protection and cybersecurity are distinct concepts, but they complement each other. Data protection ensures data integrity, while cybersecurity protects the digital ecosystem from threats like cyberattacks and malware. In an interconnected digital world, identity is increasingly stored, shared, and processed as data, including biometrics and Personal Identifiable Information. To address...
Research data management (RDM) is rapidly becoming an essential service. This has forced higher education institutions (HEIs), research councils, publishers and funding agencies to embark on this journey. In February 2015, in alignment with this global trend, the South African National Research Foundation (NRF) released a statement on Open Access (OA) to Research Publications' funded by NRF....
Background: The human deficiency virus (HIV) remains a devastating public health threat, affecting 39 million people globally, with approximately 60% of these cases occurring in Sub-Saharan Africa. Early detection and diagnosis of HIV are crucial for preventing the further spread of the virus, making HIV testing a pivotal tool for achieving the UNAIDS goal of ending AIDS by 2030. The World...
Since reading and responding to text needs both a grasp of natural language and awareness of the outside world, it is challenging for machines to do (Akhila et al., 2023). The most difficult areas of information retrieval and natural language processing are question answering systems (QAS). The goal of the Question Answering System is to use the provided context or knowledge base to provide...
The use of big data and machine learning in decision making processes in manufacturing industries is gaining momentum as manufacturers seek to enhance production performance and competitiveness. Big data technologies have transformed manufacturing decision-making, resulting in data-driven approaches. To compete in today's dynamic market, manufacturing organizations must adapt and evolve, which...
Introduction: Sexually transmitted infections (STIs) pose a significant public health challenge in Sub-Saharan Africa, particularly among key populations who are gay men, men who have sex with men, female sex workers, transgender persons, people who use drugs, and incarcerated persons. Artificial intelligence (AI) and machine learning (ML) offer promising tools for enhancing the diagnosis and...
Background
The growing volume, complexity, and diversity of data in Africa present significant challenges and opportunities for research. Limited access to open-access datasets, labor-intensive data analysis methods, and inefficient publication processes hinder research progress, especially in public health—a critical area for improving lives on the continent. AI-powered tools are poised to...
Data literacy, and prioritization are essential tools for business decision-making in the digital era. Data, among other benefits, promotes innovation, competitiveness, collaborations, and customer service and enables better decision-making without relying on intuition. Data literacy is the ability to read, analyze, use, and communicate with data. A quality and well-analyzed dataset in the...
In today's digital era, health records management has evolved from traditional paper-based systems to advanced electronic health records (EHR) systems. This progress has ushered in several advantages, including improved accessibility, enhanced precision, and heightened efficiency in healthcare delivery. Nevertheless, it has also introduced substantial risks related to data security due to the...
Data management is organizing, describing, sharing, and preserving the research data in research repositories. Data management plays an important role in data dissemination, and reuse of data for future purposes. The data is shared to broaden the impact and visibility of the research, encourage collaboration between data users and data creators, and allow others to replicate or validate your...
Institutional repositories are digital platforms in which institutions archive, manage and disseminate scholarly outputs within and beyond. The repositories leverage the knowledge to advance research and development (R&D), and innovation. The 2015 National Research Foundation (NRF) statement on Open Access states that, “the data supporting the publication should be deposited in a trusted open...
Quantum ActiveScale Storage
ActiveScale Object Storage provides a new, innovative approach to creating a simple, ‘always-on’ data repository that scales when and how you need it to—with
the extreme data durability, accessibility, and security required of petabyte-scale growth. With ActiveScale Cold Storage, ActiveScale reduces the cost of storing your cold data sets by up to 80%.
...
Background
The growing volume, complexity, and diversity of data in Africa present significant challenges and opportunities for research. Limited access to open-access datasets, labor-intensive data analysis methods, and inefficient publication processes hinder research progress, especially in public health—a critical area for improving lives on the continent. AI-powered tools are poised to...
This study explores the seasonal patterns in motor insurance claims and predictive outcomes among male and female drivers. Using a large dataset of insurance claims and driver information, we employ machine learning techniques to identify gender-specific trends and predict claims. Our preliminary results indicate significant seasonal variations in claims patterns between genders. Our findings...
