Successful composite applications rely on heavyweight service orchestration technologies that raise the bar far above end-user skills.
The challenges for moving toward a more objective use of seasonal climate forecasts to help support decision making involve more efficient interaction among climate scientists, system scientists and decision makers, with the end user driving the skill assessment of the entire end-to-end forecasting system through real world forecast applications.
Before there were tools like IFTTT, which lets you mash up data from web services along with other content in new ways, there was Yahoo Pipes, an online (and somewhat geeky) visual interface that let you aggregate and filter web data without requiring the end user to have programming skills.
This paper describes the design and development of the visual interaction language made available in ImAtHome for empowering end users, without programming skills, to create event-condition-action rules that control home behavior.
To do this, we propose an architecture that end users without programming skills can use to create front-ends, consult catalogues of resources tailored to their needs, easily integrate and coordinate front-ends and create composite applications to orchestrate services in their back-end.
Via the web interface, a list of gene identifiers can be uploaded to the server and statistical parameters can easily be adjusted with end-user computational skills.
What is the skill level of the end user (personnel)?
The service is meant for database administrators, but in particular has the end user in mind who may lack the technical skills to deploy enterprise database environments to a cloud environment.
The SkySQL service is meant for database administrators, but in particular has the end user in mind who may lack the technical skills to deploy enterprise database environments to a cloud environment.
With regard to data quality skills, curators appeared to care more about understanding user's requirements and specific data management skills than end users, while end users valued the skills needed to deal with information overload more highly — those needed to identify useful, relevant information from large amounts of data.
Scientists with different curation roles (including that of end user) may focus on different data quality aspects and skill requirements in a community curation environment.
