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Spotlight on: R
This resource covers fundamental R concepts, data manipulation, analysis techniques and data visualisation, along with specialised packages and techniques employed in health research. It is aimed at students, researchers, health care professionals or anyone who is interested in learning R ...
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ALERRT - New Outbreak Research Data Management e-learning modules
In this training module, you will focus on the activities related to data management and information communication technologies (ICT), in particular for clinical research.
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HDR UK Futures
Sign up today for free and flexible online learning. All courses and events are taught be experts in data science. Gain valuable skills for using healthcare data. Create your own learning pathways and access bit seize videos on many data ...
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Participatory Visual Methods for Community Engagement in Public Health course
This course provides guidelines on the practice and ethics of participatory visual methods (PVM) with emphasis on their use in low and middle-income countries for community and public engagement in health and health science.
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Altmetric webinar recording on sharing research online via social media
Do you want to share your scholarly work on social media but don’t know how? This virtual workshop provides a basic introduction to social media, focusing on Twitter examples for scholarly communication.
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Data Sharing course
Expectation from health research funders, regulatory agencies, and journals for sharing of de-identified individual-level health research data is now increasing. However, the volume of data shared remains low. This course aims to fill this gap by giving you basic and practical guidance in data management and sharing. Each module has been written by an author/authors expert in the subject matter and has been peer-reviewed.
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TGHN: Expressions of Interest for R training in Data Science Clubs and Clinics
R is an open-source statistical software and is a powerful tool for data analysis. There is an opportunity to make R training more accessible and tailored to the broader communities of practice in the Global South. TGHN is planning on organising data clinics and clubs to deliver R training
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Webinar recording - Ethics of data Science in Global Health Research
TGHN Webinar recordings available in English and Spanish on 'Past Events' page.
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Geneva Science and Diplomacy Anticipator - new Open Quantum Institute
The GESDA Foundation announced, in Geneva on Friday, the launch of an Open Quantum Institute (OQI) in partnership with the Swiss Federal Department of Foreign Affairs (FDFA), CERN and UBS. The aim of the OQI is to make high-performance quantum computers available to all the people interested with finding solutions to accelerate the implementation of the UN’s sustainable development goals (SDGs) in the fields of health, energy, climate protection and any relevant domain of application.
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New series of papers in The Lancet Global Health on findings of a new survey
A new series of six papers have been published in The Lancet Global Health that focus on findings of a new survey that’s been developed and rolled out by the Quality Evidence for Health System Transformation (QuEST) initiative at Harvard’s School of Public Health. The survey seeks to provide a tool for rapid assessment of health service performance from a population perspective, and measure whether health systems are a) providing good quality health care, b) responding to changing needs and c) are valued and trusted by the people, with the aim of informing governments and policy makers
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Welcome to the hub
This is a free, open access knowledge exchange hub for anyone working in data science, data management, data sharing, and data access within health research. Be part of shaping this community.
The aim of the hub is to provide resources and create a community for data scientitsts to find and share information and advise each other. This hub is in its initial phase and is under constant review, please contact us if you would like to share resources, events, recommendations, or want to get involved!
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Thank you for visiting The Global Health Network, please take a moment to read this important message. As you know, our aim is to enable equity in access to research knowledge and this is successfully delivering support and training to 1000’s of research teams all over the world. But we need your support!. If you have benefited from this research skills and knowledge sharing facility, please help us sustain this remarkable and unique provision of information for those who could otherwise not access such support and training. We would be really grateful if you could make a donation or ask your employer or organisation to contribute to the costs of maintaining this platform and the generation of new contents for all users. Just a small contribution from everyone who can afford to pay would keep this available for those who cannot. Thank you, we really appreciate your part in this community effort to better equity in global health research.
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