Developing trust in our work
In the Learning Layers project we are aiming to produce tools to help Small and Medium Enterprises support informal learning. For most of the first two years of the project we have been focused on a co-deign process – working with small groups of users to iteratively develop the tools and applications. Our user groups are, at the moment at least, drawn from the construction sector in north Germany and the health sector in north east England.
In years three and four of the project, we are aiming to roll out these tools to significant numbers of users. In preparing for this we have had discussions with literally hundreds of stakeholders including managers of SMEs. Three big concerns have emerged. the first is whether our work is sustainable. Many are interested in what we are doing but want to know how as a research project we can guarantee our applications will still be around and supported after the project ends. To deal with this not unreasonable concern we have had to seriously explore business models and are in the process of using the Business Model Canvas approach to identify and develop business models for each of our applications.This is new to me – but I can see the value. I have worked on too many projects where systems and tools are developed and tested with small user groups and then abandoned as project funding ends. Of course such processes are legitimate as a research aim. But all too often promising developments are wasted just because no-one has though out how to make their work sustainable At the end of two, three or four years, researchers and developers move on to the next project – and so it goes on.
Secondly people are concerned that our tools and applications will integrate with systems they already use. they do not want yet another stand alone system – and certainly do not want another log in to circumnavigate. We are implementing Open ID Connect for our own services and this offers the possibility for integration with the LDAP systems more commonly used by companies.
The third big concern is data security and server hosting. Our original idea was to use a cloud system developed by the University of Aachen. however we have encountered a surprising degree of distrust of cloud systems. This is not necessarily based on any particular technical reason. The aftermath of the Snowden affair seems to be that in Germany at least company owners and Systems Administrators want to be able to control their own data. This means they want it inside their systems – and cloud is not trusted. Data being held in the USA is not on. As Ben Werdmuller says:
There are all kinds of reasons why you should care about where your data is stored. If you’re a business or institution, there may be legislative and auditing requirements relating to your servers. Many educational institutions in Europe, for example, can’t store data in the US without jumping through numerous hoops – and requiring service providers to jump through more.
My feeling is that managers in small businesses know they should care and that it is important where their data is held. However they do not have the expertise and time to research legislative and auditing requirements. The answer for them is to hold data on their own servers – preferably where they can touch it. And I suspect this situation is not going to change in the near future. For the Learning layers project, as well as a hosted cloud solution, we are now developing the Layers Box, a box containing the Learning Layers software which can simply be plugged in to existing server systems. We will see if this helps allay people’s fears.