Next week the OER World Map project will be represented at the 14th Annual Open Education Conference which will take place in Anaheim, California between the 11th and 13th of October.
We can be found in the Royal Ballroom at table 23 on Thursday October 12, 2017 11:00am – 11:25am and again between 11:30am – 11:55am. Instead of a formal presentation this will be a roundtable discussion with plenty of opportunity to find out how the OER World Map can make a difference to your OER related activities. Continue reading
Our second team meeting for 2017 from the 18th to the 19th May took place at Cologne. The North Rhine-Westphalian Library Centre (hbz) is in Cologne where four people of the OER World Map team are located. So the other members of our geographically dispersed team had to travel this time coming from Milton Keynes, UK and from Berlin. The two days were as always filled with constructive discussions and good teamwork. Continue reading
From the 16th to the 17th March we met for our first “physical” team meeting in 2017. The two days were filled with lively discussions and effective teamwork. Our colleague Felix was our host. We met at the office of graphthinking in Berlin, Köpenick. Many thanks for the hospitality and possibility to meet in the German capital only hundred meters away from the lovely river Dahme! Continue reading
The OER World Map collects and visualizes information on organizations, persons, projects, services and events related to OER. Using linked open data technology, all entries can be easily connected, allowing the World Map to provide a the most complete and reliable model of the global OER movement so far.
At its core, the platform provides a fundamental data set, which supports a multitude of use cases. Currently we concentrate on three main user stories, which, in its shortest form, can be described as 1) finding OER sources, 2) connecting OER actors and 3) providing statistics on the OER movement. Arguably, after two years of development, the platform starts to offer real value for its users. Nevertheless it still can be difficult to find relevant data using the World Map platform. During Open Education Week 2017, we are planning to show, how the simple but powerful tool of folksonomies can be used to generate helpful lists of data included in the OER World Map. Continue reading
Our last team meeting for 2016 from the 24th to the 25th November took place at Cologne. Here in holy city of Cologne is the North Rhine-Westphalian Library Centre (hbz) where four people of the OER World Map team are located. So the other members of our geographically dispersed team had to travel this time. The two days were filled with constructive discussions and effective teamwork. Continue reading
Like many other projects the OER World Map is driven by a virtual team, which is working distributed in different cities, which are in our case Cologne, Berlin and Milton Keynes. Though cooperation via the net works pretty well, it does not replace meeting personal for many reasons. Therefore we emphasize meeting personally on a regular basis.
From the 7th to the 9th of september our English colleague Rob was the host for our “physical team meeting”. We met at the Institute of Educational Technology of The Open University in Milton Keynes. Many thanks for the hospitality and for the guided tour through research labs of the institute! Continue reading
During a small research project starting during Open Education Week, we will try to look for ways to map Open Education Week, e.g. to put the activities of Open Education Week on the OER World Map.
Our interest in mapping Open Education Week data is twofold: on the one hand we made progress defining our data model by taking real world examples and trying to model them on the OER World Map. Initially we used OER stories for doing this on a micro level, targeting individual actors and activities. Just recently we produced the OER Atlas, giving us the experience of collecting data of a complete country. Collecting Open Education Week data will provide us with another interesting example of collecting real world data on a macro level. Continue reading