Scientists of Tomorrow, Workshop 3: Data, Data Sharing, Interoperability & Standards
This is an exclusive opportunity to join a workshop tailor-made for early career scientists who want to make an impact on society. The workshop will help you get a broader perspective on the society you work in and under which circumstances your research will be applied in the future.
The workshop is part of a course programme consisting of four workshops, each with a specific theme describing the changes and trends we observe in science, technology, and medicine today.
We have opened up registration to join only workshop 3 (registration for the entire course has closed). Please note that a limited number of seats are available.
Workshop 3 will focus on the staggering amount of data being produced and the importance of securing data while still allowing sharing of data between systems, institutions and researchers. This can only be done if there is interoperability between systems, which can be achieved through standards. COVID-19 has shown us how scientific collaboration can be achieved across borders and institutions and between researchers on a hitherto unseen scale. The sharing of data and knowledge was the key enabler for the rapid development of vaccines and virus containment strategies. Read more under “detailed description”.
If you are interested in taking part in workshop 2 and 4, read more and sign up here:
Workshop 2: The Holistic Approach to Health and Research
Workshop 4: Technology, Artificial Intelligence & Readiness
TIME & PLACE
WHO CAN ATTEND?
DETAILED DESCRIPTION
PROGRAMME
REGISTRATION DEADLINE
ORGANISERS
COVID-19 CODE OF CONDUCT
ADDITIONAL INFORMATION
TIME & PLACE
Dates: 26-27 January 2022
Venue: Nørrebro Bryghus, Ryesgade 3, 2200 Copenhagen N, Denmark
WHO CAN ATTEND?
The course is intended for scientists who are at the early stages of their career (PhD student, postdoc, assistant professor or similar career stages) working within any field of diabetes, including both clinical, basic and translational research.
Only a limited number of seats are available for attending workshop 3. Participants are selected on a first come, first served basis.
Please note that you are not guaranteed a seat at the course if you do not meet the target group requirements. If the course is overbooked, the DDA reserves its right to select participants based on the defined requirements and country of employment.
DETAILED DESCRIPTION
Through analysing needs, changes, challenges, and opportunities, you will develop a new mindset and learn about a paradigm shift in our approach to health and science, emerging technologies, and the importance of data. These are all elements undergoing rapid changes, and they will shape the research landscape in the coming decade.
The focus of the entire course programme is on trends and developments in health. The course and the separate workshops will inspire you to work with a more holistic mindset and identify new opportunities offered by convergence of disciplines outside your area of expertise.
Workshop 3 will focus on the staggering amount of data being produced and the importance of securing data while still allowing sharing of data between systems, institutions and researchers. This can only be done if there is interoperability between systems, which can be achieved through standards. COVID-19 has shown us how scientific collaboration can be achieved across borders and institutions and between researchers on a hitherto unseen scale. The sharing of data and knowledge was the key enabler for the rapid development of vaccines and virus containment strategies. The following themes will be discussed in the workshop:
- Data is more valuable than oil
In 2017, The Economist declared data to be the world’s most valuable resource of the 21st century, even more so than oil, and with good reason. Data, including health data, are produced at an unparalleled pace, and we currently only use approximately 3% of all this data. It is important that we do not cultivate a culture of data hoarding; instead, data should be both shared and utilised in a trustworthy manner.
- Behavioural data will be a driver for healthy behaviour
Future healthcare delivery will rely on a rich and broad array of individual-level data to provide a comprehensive picture of all aspects of an individual’s life. Individuals will be encouraged to take responsibility for decision-making, to oversee data access and use, and to be in the driving seat for their health. This version of personalised (or precision) medicine will draw upon data sets from a variety of electronic sources, one of the most important being behavioural data or real-world data (RWD). How can these new types of data benefit the scientists of tomorrow? How can we implement RWD in clinical studies?
- Interoperability and standards are key for trust and collaboration
Data is often collected using different methodologies, analysed by non-standardised software, and stored in incompatible formats. Interoperability is, in the broadest sense, the ability to share information such that people and systems can effortlessly understand and learn from it. To simplify an incredibly complex area of health data, interoperability is achieved when systems can connect to each other, define a format and syntax for exchange, provide a common codification for a shared understanding, and organisational structures are implemented to enable giving and receiving consent and trust. Laboratories often use different methodologies and machines with different formats, which complicates direct translation of research results. Interoperability can be achieved by using standards, where data entries are formalised in a way that provides consistent meaning to data shared among different systems. The Human Genome Project was only possible because of strict standards achieved through consensus between the participating institutions. The same should go apply to other research disciplines in order to increase trust in and transparency of data and results.
PROGRAMME
If you are interested in taking part in workshop 2 and 4, read more and sign up here:
Workshop 2: The Holistic Approach to Health and Research
Workshop 4: Technology, Artificial Intelligence & Readiness
REGISTRATION DEADLINE
10 January 2022 at midnight
ORGANISERS
The course is developed and delivered by the Copenhagen Institute for Futures Studies (CIFS). CIFS is a world leader in applying futures studies and foresight methodologies tailored to client-specific challenges and a global thought leader in the future of health.
DDA contact:
Education and Networking Coordinator, Pernille Bruun Nielsen, Pernille.Bruun.Nielsen@rsyd.dk
COVID-19 CODE OF CONDUCT
To ensure safe events, the DDA’s activities are organized in compliance with our Interim COVID-19 Code of conduct.
ADDITIONAL INFORMATION
Dinner registration
DDA organizes a networking dinner at each workshop. When registering please state if you will participate in the dinner.
Accommodation
If you live outside the city where the workshop is being held, the DDA can arrange accommodation for you. Please state when registering if you need overnight accommodation.
Certification
You will receive a certificate upon completion of the course.
No-show fee
Please note that it is free of charge to participate in the course however the DDA will charge a no-show fee of 250 DKK if you do not show up to a workshop and have not unregistered prior to its start.