DigComp 2.2 English questionnaire

1.3 Managing data, information and digital content

Knowledge
I am aware that many applications on the internet and mobile phones collect and process data (personal data, behavioural data and contextual data) that the user can access or retrieve, for example, to monitor their activities online (e.g. clicks in social media, searches on Google) and offline (e.g. daily steps, bus rides on public transport).

very little very much
no choice equals to zero
Knowledge
I am aware that for data (e.g. numbers, text, images, sounds) to be processed by a program, they have to be first properly digitised (i.e. digitally encoded).

very little very much
no choice equals to zero
Knowledge
I know that data collected and processed, for example by online systems, can be used to recognise patterns (e.g. repetitions) in new data (i.e. other images, sounds, mouse clicks, online behaviours) to further optimise and personalise online services (e.g. advertisements).

very little very much
no choice equals to zero
Knowledge
I am aware that sensors used in many digital technologies and applications (e.g. facial tracking cameras, virtual assistants, wearable technologies, mobile phones, smart devices) generate large amounts of data, including personal data, that can be used to train an AI system. (AI)

very little very much
no choice equals to zero
Knowledge
I know that open data repositories exist where anyone can get data to support some problem solving activities (e.g. citizens can use open data to generate thematic maps or other digital content).

very little very much
no choice equals to zero
Skills
I know how to collect digital data using basic tools such as online forms, and present them in an accessible way (e.g. using headers in tables).

very little very much
no choice equals to zero
Skills
I can apply basic statistical procedures to data in a structured environment (e.g. spreadsheet) to produce graphs and other visualisations (e.g. histograms, bar charts, pie charts).

very little very much
no choice equals to zero
Skills
I know how to interact with dynamic data visualisation and can manipulate dynamic graphs of interest (e.g. as provided by Eurostat, government websites).

very little very much
no choice equals to zero
Skills
I can differentiate between different types of storage locations (local devices, local network, cloud) that are the most appropriate to use (e.g. data on the cloud is available anytime and from anywhere, but has implications for access time).

very little very much
no choice equals to zero
Skills
I can use data tools (e.g. databases, data mining, analysis software) designed to manage and organise complex information, to support decision-making and solving problems.

very little very much
no choice equals to zero
Attitudes
I consider transparency when manipulating and presenting data to ensure reliability, and spots data that are expressed with underlying motives (e.g. unethical, profit, manipulation) or in misleading ways.

very little very much
no choice equals to zero
Attitudes
I am watchful of accuracy when evaluating sophisticated representations of data (e.g. tables or visualisations as they could be used to mislead one’s judgement by trying to give a false sense of objectivity.

very little very much
no choice equals to zero
Use Case: Employment Scenario
At home with my sister who I ask whenever I need - I can identify how and where to organise and keep track of job ads in a job app (e.g. www.indeed.com) of my smartphone in order to retrieve them when I need them along my job seeking.

very little very much
no choice equals to zero
Use Case: Learning Scenario
In the classroom with my teacher who I can consult whenever I need - I can identify an app in my tablet to organise and store links to those websites, blogs and digital databases related with a specific topic of literature and use it to retrieve them when needed for my report.

very little very much
no choice equals to zero