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Better public health datavisualisation
Transcript of Better public health datavisualisation
Antenna for new developments
In touch with comparable teams in other organisations
Taking it further?
Costs and benefits
Learn from others
For all RIVM people
Share and connect
Worth sharing in social media!
Studying existing practices
Editorial board for images
Training of employees
VIS-markets (learning from each other)
T-shaped workers from across RIVM forming a team/unit
Central place for all employees where they can find info on WHO, WHERE, HOW (wizard)
A database containing good datavis examples and templates
Which organisations make good visualisations?
What are success factors?
Wat do current visualisations cost?
How much can we save by controling our own visualisations?iet steeds het wiel opnieuw uitvinden
Make someone responsible
Make information findable and accessible
Learn from experiences
Build a network
Set measurable goals
A picture is worth a thousand words
Lifting the level of RIVM datavisualisation
amount of information available for professionals, policy makers and the general public is expanding every day.
However, the amount of time available to pay attention to this information, declines or remains equal.
This means that more and better innovative ways to get the message across are required.
Visualisation of data is extremely useful to communicate complex information in an easy to interpret way. Worldwide, knowledge about both psychological and technical aspects of data visualisation keeps on developing at a high rate. Using, applying and updating this knowledge is essential to assure that the wealth of information RIVM has to share, will keep on reaching the (international) public in the future.
Over the years, we have become better at writing reports and producing texts for both lay people as well as for professionals.
However, a wide range of quantative data is still not or poorly visualised in graphical presentations.
The aim of this project is to create a solid and sustainable knowledge and expertise base in the field of data visualisations, using modern (interactive) technologies.
The objective is to provide RIVM employees with knowledge and support to get their results visualised in a more advanced way.
Visuals should be layered, so they can appeal to a wide range of publics (professionals and lay people). For lay people they could be showing in a blink what the situation is or how groups compare. Professional users would be able to zoom in or to make their own data selections in graphs or geographical maps (ie selection of countries or regions, socioeconomic groups, age groups etc).
stimulating the use of innovative datavisualisation methods and techniques to improve knowledge transfer. It matches the SPS theme well in the sense that it stimulates integration of data, information and knowledge which will be translated into a form that supports policy making. The approach will be to perform pilot projects in which several new data visualisations will be developed and tested, based on an inventory of existing knowledge on psychological (literature review) and technical aspects (desk research) of data visualisations.
The ultimate aim of the project is to develop knowledge and expertise for the entire RIVM. The output will for example be used for the new website VolksgezondheidenZorg.info (public health and health care information). Other RIVM (SPR-) projects will be invited to pilot and test the findings of this datavisualisation SPR. After all, communicating about data and information is core business for many departments within RIVM.
This project fills a knowledge and an expertise gap in a field that is essential for RIVM’s core business. It will yield overviews of evidence and techniques/software, guidelines, practical application of this knowledge in a website in a pilot and an advice for a new organisational structure ensuring the long term emdedding of data visualisation expertise within RIVM. This will lead to the following benefits and added values:
• More effective ways to get our messages and information across;
• Information will reach more people and will be more often referred to;
• more societal impact because of the possibility to visualise effects from, for example lifestyle on morbidity and mortality (obesity over time, relation between smoking and cancer etc);
• better ways to provide the public with information that specifically suits their interests.