In case you couldn’t make it, here are the slides from today’s presentation at the Open Education conference. All feedback welcome!
OER World Map collects a lot of data. This is essential for making data centrally available, but as more is collected, the difficulty of finding a specific item increases, regardless of license or data content. Therefore, as data in OER World Map increases, it is very important to implement efficient and targeted search and ranking algorithms.
There are search algorithms, whose complexity, efficiency and confidentiality are impressive. The major search engines in the world are clear examples. Of course, a relatively small non-profit project as the OER World Map can not develop a such complex search algorithm from its own resources. This is also not desirable because the platform is built on the principles of transparency and openness. Continue reading
Since most of our team members are somehow connected to the library world, one of the first things we wanted to do, when we started phase II of the project, was to define a clear collection policy for the OER World Map, which should define which data to collect and which not. A clear scope, so we thought, would be especially important for a project like the World Map, since trying to collect too much often ends in collecting nothing right.
We consider ourself to be dedicated to Openness, which means that we support open licenses, develop open source software and even do most parts of our project communication openly on GitHub. Therefore our initial approach to define a collection policy was to restrict the OER World Map to entries, which are related to ‘real OER’, which according to my understanding meant in Creative Commons terminology CC BY, CC BY-SA and also CC BY-NC licenses and equivalents (though another strong opinion in our team argued that NC was no ‘real OER’ according to the Open Definition). Continue reading