Today, the UNESCO celebrates its International Day for Universal Access to Information. As a data-driven enterprise, Resyn wants to join in on the celebration by revealing how we address three of the main challenges related to the dissemination and use of data: universal access, data structuring, and data visualization.
1) Universal Access
Ensuring universal access to information is compounded by many factors, such as culture, language, demand for data, affordability and accessibility across borders. How is Resyn ensuring these challenges are overcome for its users?
For starters, Resyn is building its platform to work across languages, starting with English and French to serve our current user base, and will continue to improve its linguistic diversity over time. Resyn aims to assemble a collective intelligence about the production of renewable resources that will be made available to the commons (don’t worry: user specific information will not be shared, the purpose is to aggregate knowledge around resources, and proprietary user information will remain anonymous). What about business across borders? Resyn is designed to make borders irrelevant for information exchange, and the focus lies on the availability of resources. Business across borders for Resyn relates to the sharing of insights about production; learning from the global knowledge production commons. Resyn aims to keep resources local and abundant, while making the most out of the collective intelligence gathered from the experience of producers around the world.
2) Structural Challenges
Once data is collected, it needs to be curated and standardized for sharing and collaboration. Data usually comes into a platform or data collector in vast streams of data points. Individuals aiming to access data would have major difficulties interpreting big data streams without some form of sanitization and standardization of the data ahead of time.
Resyn is collecting production data from farmers to better understand their inputs and outputs to help people find value-added pathways based on their specific circumstances. The data collected is then organized by unique product identifiers which are aggregated to enable user-friendly accessibility. This will also offer the opportunity to facilitate more direct product-consumer contributions, empowering the generation, management, and sharing of high resolution data for local producers.
3) Data Visualisation: User Friendly Access to Information
Data curation and processing are important first steps to ensure the data is transformed and classified for easier access for users. However, the success of open data depends on the end users’ ability to digest and use the data to solve problems and identify solutions. That is where data visualisation comes in; the automagical process of turning data into visually engaging charts, graphs and maps.
As mentioned above, Resyn is collecting data points from producers and consumers. All data is entered by the producer and can be manipulated through the platform’s tools to visualise trends and information about their production systems. Resyn is developing useful and accessible data visualisation techniques to offer its users the ability to better understand opportunities within their systems to reduce inefficiencies, spur innovation, and increase local resource use.
In sum, Resyn is helping producers and consumers worldwide to build an accessible information platform through a distinct data story. Users generate and input data, and Resyn assists in data management and curation. Finally, the platform enables local producers to maximize their productivity by providing unprecedented insights into their own production systems. We want data to work for people and we are prepared to flip the paradigm. Resyn, res-out.
Written by Lisa Andrews, Linkedin