Sarah Schäfer is a Research Data Specialist and Digital Curator, and began working at UWC in 2020. She is based with eResearch and works very closely with the Research Support and Scholarly Communications team at the Library.
Her background is in digital cultural heritage, and her career in photography is what initially drew her to discover a research interest in digital cultural heritage. Her MPhil in Digital Curation focused on cultural heritage in the context of South African museums, and the digital transformation of museums and cultural heritage. She has an interest in digital archives, collections management and the intersection of the arts and computing.
Sarah loves that the realm of digital curation draws and benefits from knowledge in diverse areas, and involves more than cursory understandings of archiving and research data – it requires theoretical understanding and practical applications of various aspects, including Open Access, data repositories, data handling, media and formats, metadata and research data management.
Sarah is a founding member of the Network for Digital Humanities in Africa, and is a certified Carpentries Instructor.
The UWC eResearch Office, in collaboration with ICS and the Library is pleased to announce that UWC is now a partner in the REDCap Consortium, and UWC researchers can benefit from the broad range of data collection functionality that REDCap offers. At its most simple, REDCap is a web-based interface that empowers researchers to take control of their data collection work. Find out more about REDCap here.
REDCap is an application that was originally created in 2004 to support a small group of clinical researchers who needed a secure data collection tool (that met HIPAA compliance standards). The REDCap Consortium was launched in 2006, and today it is used as a secure method of flexible yet robust data collection by thousands of researchers at institutions around the world. REDCap is a neutral data collection platform, able to capture any type of data, for any purpose.
To access REDCap, go to https://redcap.uwc.ac.za/ and use your UWC Network (Novell) login details (i.e. the same ones you would use to access iKamva).
The Bill & Melinda Gates Foundation continues to work with the public and private sectors in the global response to COVID-19.
The International COVID-19 Data Alliance (ICODA) and the Bill & Melinda Gates Foundation’s Grand Challenges initiative, supported by the COVID-19 Therapeutics Accelerator, are announcing an open funding call for research studies to accelerate knowledge of COVID-19 through data science: Grand Challenges ICODA COVID-19 Data Science. Register for an informational workshop to be held on January 7, 2021 (14:00 UTC), and the grant application deadline is January 19, 2021
Researchers can register for an informational workshop to be held on January 7, 2021 (14:00 UTC), and the grant application deadline is January 19, 2021.
“We invite you to read summaries of the grants awarded to date through Grand Challenges initiatives with the Gates Foundation as funder or co-funder and to explore an interactive world map of projects across the broader Grand Challenges funding partner network.If you have a great idea for one of the open opportunities, please apply. If you know someone else who has a great idea, please forward this message so they can apply and sign up on our Grand Challenges website for email updates with the latest opportunities. We look forward to receiving innovative ideas from around the world.”
To learn more about the foundation’s broader work and how COVID-19 is being addressed across the foundation, visit the foundation’s website and sign-up for The Optimist newsletter. See videos of the plenary sessions at the 2020 Grand Challenges Annual Meeting, for the first time in virtual format and with a focus on addressing the current pandemic and using partnerships and lessons learned to speed progress across a broad range of global health and development goals.
My name is Frederic Isingizwe, I am a research scientist and science communicator, most specifically within the area of modern computational methods to enable carrying out data-driven research efficiently. I have a special interest in the application of data science methods and artificial intelligence in any way that helps improve the quality and sustainability of life in the world.
My higher education span Physics, Mathematical Sciences and Electronic Engineering (MScEng and PhD). While a graduate candidate, I was involved in research on superconductor devices, applied spectroscopy and bio-systems modelling, managing a postgraduate research laboratory for biological sensors and nano-devices development. Upon completion, I assumed a role for technical advisory and research support for postgraduate students in sensors development and applications research projects.
Since then, I was a postdoctoral research fellow under the South African research chair in postharvest technology at Stellenbosch University. While there, I applied machine learning methods on spatial and multi-wavelength spectral data to advance non-destructive techniques for quality testing and control in postharvest production environments.
I have now joined the eResearch Office at UWC as an eResearch Scientist, and my comprehensive role is to help bring its mission to a success.
Some of my work: Google Scholar | Science Communication | Github