Kick-Off for the Work on Curricula for Tomorrow’s Workforce
Authors: Ioana Vlad — ROSA, Ion Nedelcu — ROSA, Barbara Hofer — PLUS
EO4GEO chose to apply an innovative method for deriving curricula for tomorrow’s workforce in the EO/GI sector: a strong consideration of market requirements through modelling business process. Business processes are thereby illustrating the steps from an idea to a final product given a specific use case. Actually, there are a set of coordinated activities, initiated in response to an event, conducted by both people and equipment, in order to achieve a specific result for the stakeholder of the process. The idea behind this approach is that business processes show workflows of tasks that workforce needs to master in their daily work; in addition, business processes show who is involved in projects and needs to communicate with one another, and how the information is interrelated in order to obtain an output.
As mentioned, business processes indicate task chains as well as profiles of people working with each other in the respective work context. These two pieces of input provide the basis for developing curricula that are adapted to the needs of workforce with different occupational profiles; profiles that range from having some basic knowledge about EO/GI to being an expert on EO/GI service development. Serving a variety of occupational profiles leads to a variety of curricula that will cover vocational training, re-skilling of existing workforce and academic education. The challenge regarding curriculum design will be to translate the skills needs into curricula with an appropriate structure and adapted learning materials. But before anticipating future steps of the project, here a short overview on the status-quo of business process modeling in EO4GEO.
Business process task evolution has consisted in developing a template aiming to homogenize information about use cases and related business process models. Information like reference data provided, context and narrative description of the use case, data used, output, next steps reflect important details on each business process. More than that, the modelling language, which has been agreed in the project, is Business Process Model and Notation (BPMN), used to document the details of how a process operates, as a visual representation of a work. These models show who is involved in the process, their interactions and the workflow from activity to activity. Details related to the template sections together with and an example of how Copernicus Sentinels help vessel monitoring can be found here.
Thanks to the contributions of several project partners, for the time being, 26 business processes models were collected that are assigned to the three sub-sectors foreseen in the project: smart cities, integrated applications and climate change.
In order to have a comprehensive knowledge and understanding of all the business processes, analysis criteria were applied to identify similarities and differences between the workflows. The analysis criteria assess the duration of the event, the way of triggering the process, the quantity of data needed, the need for in-situ data, the complexity of the processing, the interaction with the user, the user level of competence, the scientific domain involved in the process, the type of experts, the type of results, and the link to a sub-sector.
After a deep review on all the business processes received, common patterns for all the workflows were identified, which are worth to be mentioned here:
· Support request received and process preliminary information
· Data base interrogation (satellite and in-situ) and selection of required data.
· Preliminary processing of satellite data (e.g., radiometric and geometric calibration).
· Realize the informational products and corresponding metadata.
· Send final products to the stakeholder by e-mail or ftp .
· Confirmation of receiving the products and their integrity.
A summary of how the collection of business processes has been going until now is documented in a BPMN diagram.