Startup Commons just released the first open standard data model to aggregate and distribute startup events data.
One of the benefits of working in the innovation entrepreneurship landscape globally for many years is to identify best practices, common patterns and needs coming from all kind of ecosystem maturity levels, recognising opportunities and giving us the chance to focus on things that others are not really providing, where our ecosystem development expertise matter the most.
And the truth is that, while ecosystem builders and actors alike recognise and agree the ecosystem fragmentation as a big issue that must be resolved to enable true collaboration and accelerate ecosystem development, in practice, none is committed to fix it. The beast is so big that it seems it is "smarter" to just escape from it. But the beast doesn't stop growing more and more because we also contribute to make it bigger with our own ambitions and motivations.
We are always asking entrepreneurs to be leaders to make their companies succeed. Shouldn't we ask ecosystem builders and related actors to also behave as entrepreneurs? Shouldn't they have the guts to put the right things in place to make their ecosystem easier for anyone to land, navigate, connect and progress? In practice, there is a lack of true leadership to really tackle the ecosystem fragmentation.
At the end of the day, as anything, it is a personal decision and we can't do much on this. We can just make one thing: leading by example. Taking the global leadership to develop what is needed to enable ecosystem connectivity and interoperability within and between ecosystems.
Taking The First Step
Ecosystem fragmentation in practice means that we have applications (spreadsheets, CRMs, event systems, portals, etc.) with closed databases, where people put information in and pull information out, and whatever information is randomly shared, it is not connected in a systematic and consistent way. We have applications silos, meaning that people need to proactively move information between systems.
At the core, the solution for ecosystem fragmentation lie the data model, which is the way elements of data are organized and therefore standardise how they relate to one another and to the properties of real-world entities. Therefore data modelling is the first step towards removing ecosystem fragmentation and definitely to look at data as a key resource in the digital revolution to bring more efficiency at ecosystem level: designing a data model for information ecosystem. A model for what data and how is it stored & used. But being developed as open standard to facilitate easier, faster and broader adoption, to improve information transfer and usage and ultimately increase innovation.
From now on, we are making public the Roadmap for Open Standard Data Model, covering domains and objects that are part of the innovation entrepreneurship landscape, providing details about entity types, attributes, relationships, integrity rules, and the definitions of those objects so that any ecosystem can iteratively use them for:
A first use case enabled with this first simple model is a global startup events portal to aggregate and distribute startup events data. It provides a standards-based representation that can be used to encode and exchange events data in the context of innovation entrepreneurship format.
if there is a data model you would like us to improve or add, leave your request here and we will review to add it to our development plans to make it ecosystemOS compliant for global connectivity with other ecosystems. Or you can also subscribe to our ecosystemOS newsletter to keep you updated about the new data model releases.
We are right now in that technological leap similar to the one that occurred when the car was invented that drastically changed the mobility of people. We are right at that moment where the way in which innovation and entrepreneurship is facilitated is going to change. Are you going to stay behind? Take action now!
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