Open Data curriculum structure

The curriculum skeleton was built from what was found in literature when it comes to Open Data training and from additional data we collected. This was done by interviews and focus groups with people who have experience with Open Data.

We also launched an online survey open to everyone to understand how people feel about Open Data. We wanted to make this open to a broad public, so people with or without Open Data experience could answer the questions. The goal of the survey was to find out how they feel about Open Data, if they are interested in working with it and what topics they wanted to learn more about.

After the completion of all the interviews and focus groups, the reporting templates were collected and analysed. This was done by looking at the needs of all the interviews per partner and trying to make a first list by creating some order. This step was repeated for the interviews of all the partners and these were then combined in one big list. This list was then merged with the initial framework the project partners drafted at the start of the project. Next we went back to the literature review and made sure all the phases of the Open Data lifecycle were represented and all the major skills and knowledge items were present. The last step was to make it uniform and with a logical order.

The needs are split up in to various categories: culture, academic practice, Open Data lifecyle (obtaining, scrubbing, analysing and presenting data) and advanced technical skills.

Each item in the curriculum skeleton is then linked to specific Open Data related knowledge and skills that university students, private sector employees and public sector employees should obtain in order to enhance their competencies and knowledge on Open Data, entrepreneurship and innovation.

More information on the Open Data curriculum skeleton is available in D1.1.