A webinar on Monday 30 August discussed RDM (research data management) at UWC and Kikapu, our institutional research data repository. Practicing RDM has become an integral part of doing research, and good data management needs to be practiced throughout the research lifecycle. Mark Snyders (UWC Library) and Sarah Schafer (UWC eResearch Office) presented on various aspects of RDM and Kikapu.
Preservation, access and UWC’s digital infrastructure
The findings of an archival planning process soon to be officially published in a White Paper: UWC 2021-25: Revitalising Research Archives at UWC will be presented and discussed in an upcoming webinar.
The Director of eResearch, Prof Mattia Vaccari, will moderate the session, and speakers include Prof Patricia Hayes (NRF SARChI Chair in Visual History and Theory, UWC), Dr Nancy McGovern (Director of Digital Preservation, the MIT Libraries, USA), Dr Valmont Layne (Centre for Humanities Research, UWC), and Dr Anthea Josias (University of Michigan).
Data Management Planning is ultimately most useful for the researcher, and it helps achieve the benefits that come with managing and sharing data. Increasingly, funding bodies and publishers mandate the submission of a DMP to ensure that data can be preserved and shared. UWC’s Research Data Management Policy encourages all UWC researchers to submit a data management plan in the course of their research.
ISC (Intelligence in Science), a Brussels-based advisory firm specialising in science, technology and R&D research and policy, will organise the second edition of the UNGA76 Science Summit around the 76th United Nations General Assembly (UNGA76) in New York in September 2021.
“Engagement with policy leadership is more important than ever: UNGA76 is a unique forum for science leadership to show how policy and political leadership can benefit from science and the scientific community. Central to this is the role of nonstate actors and the multilateral fora, which increasingly determine how priorities are set. Science needs to be part of this dialogue and at an earlier stage and inform outputs through thought leadership, evidence, insights, analysis, and innovation.We can only tackle the greatest challenges that we face and will face over coming decades – such as climate change, pandemics and biodiversity loss – through transparent, open and agile research collaboration. We must bring the widest possible range of resources, expertise and perspectives to bear on solutions which will benefit people across the globe.”
The virtual meeting aims to raise awareness of the role and contribution of science to the attainment of the United Nation’s Sustainable Development Goals (SDGs). It will demonstrate initiatives that provide models for global science mechanisms and activities supporting the SDGs, particularly in science infrastructure and capacity building. Science is more than a funding prioritisation exercise: it can improve all policy-making areas and play a more critical role in achieving policy objectives and the benefits to people everywhere, including responses to global challenges.
South African students are eligible to register to join the next cohort of the African Launchpad initiative (AAL), which offers free nanodegrees through Coursera, edX, and Udacity. The courses include the fields of artificial intelligence, games and applications development and virtual reality.
The initiative was first announced in Egypt in 2018, and is an Africa-wide platform that aims to build capacity of Egyptian and African youth and foster the establishment of sustainable African startups in the area of the advanced ever-changing app and game technologies. AAL works by availing a high-quality, technology-learning online platform through crowd-sourcing top online content developed by prestigious universities and leading companies, and delivered through three leading MOOCs (Coursera, edX, and Udacity). Participants will need to dedicate approximately 10 hours per week throughout the track duration in order to be able to finish in time.
To register, click here, and to find out more details and available learning tracks, click here.
The latest research published by eResearch Office’s Dr Frederic Isingizwe on detecting defects in fresh agri-food products dealt with detecting soft damage to apple fruit while they are still invisible to the naked eye.
Damage to fresh agri-food products due to brute impact or compression force can occur during handling and transport, can be invisible at an early stage but becomes more pronounced with time, either in the consumer’s hands or on a retailer’s shelf. Such damage to fresh produce accelerates the deterioration of fruit and vegetables and can facilitate infections by micro-organisms, which makes products unsafe to consume.
The research was conducted to aid with sorting and grading fresh products, either at an industrial or smaller scale. We demonstrated that these invisible defects can be detected using shortwave hyperspectral imaging techniques and by using machine learning algorithms, we established the degree to which the differentiation of defective from sound apple fruits is feasible.
As AI continues to mature, nations around the globe are adopting it more and more to drive large-scale transformation and competitiveness; Africa is no stranger to this. From agriculture and health services to translating languages, AI can play an important role in helping Africa tackle economic problems.
Creating an AI ecosystem and forging local and global relationships is vital. During the past decade, local groups of industry practitioners and researchers have been actively hosting events, including Data Science Africa and Deep Learning Indaba, towards this goal. The African machine learning community has been steadily growing.
This August, on 18th and 25th, IBM Research Africa is inviting academics, students, developers, researchers and AI practitioners to a dialogue on the future of AI through this series of seminars delivered by some of IBM Research’s leading Scientists in Africa and other global labs. With a focus on advances in trustworthy AI, neural and symbolic learning, reasoning and language understanding, this series will launch a continent-wide conversation on the future of AI and the role of the African computing community in inventing what’s next for AI in Africa.
To learn more on the event, follow the link here and to register, click here.
Kikapu is UWC’s online institutional research data repository. It is a versatile platform for publishing and accessing research data and scholarly outputs, and accepts a wide variety of non-traditional research outputs and file formats. Research data and any associated documents can be stored and shared in either primary or refined versions.
Introduction to Research Data Management and Kikapu
The webinar will cover the following:
Introduction to Research Data Management (RDM) and Kikapu: – What is research data – Why publish research data – Open Access – FAIR Data principles
Introduction to Kipaku – UWC’s Institutional Research Data Repository – Creating an account – Uploading content (datasets) – Publishing uploaded content (datasets) – Citing published content – Tracking record statistics