Module 2 – Developing digital content

Data has been considered to be the new fuel for the economy and the demand for skills to tackle the use of data is rising. How can data help to tell the story and what are the key steps to approach the process of dataset creation?

Data literacy is the ability to peruse, comprehend, make, and impart information as data. Similar to proficiency as an overall idea, data literacy centres around the skills associated with working with information. It is, be that as it may, not like the capacity to analyse text since it requires certain abilities including extracting and handling information.

Activity: Open and review the learning outcomes of this section

Learning Outcomes

 As data collection becomes one of the main information sources it turns out to be increasingly more significant for researchers to have data literacy skills. The core concepts are linked with data science, which tackles data collection, data collection and data interpretation and data visualisation. 

Data literacy includes understanding what does data really mean, for instance the capacity to understand diagrams and outlines and to drive insights from information.

Researchers can either initiate data collection (via survey) or use existing data sources (Open Datasets). While building their own data set the researcher makes a new set of knowledge to explore the story. Unique datasets can even assist the researcher to identify what trends consultants and policy manufacturers haven’t been ready to spot. Data becomes a supply of knowledge. At the point of applying a data driven approach to the content creation, the well-structured procedure should be respected not to generate irrelevant data.

In order to handle the data one should be familiar with the basics of statistics and understand the topic. Sometimes data can be misleading and trick the researcher. This might happen if the survey sample doesn’t represent the whole population and is biased.

Sometimes respondents don’t pay enough attention to the questions and select other options by mistake. These issues can be avoided if the researcher is aware that digital data is biased and one should make sure that the sample is not biased and the survey is well compiled.

When collecting data you should also be aware of General Data Protection Regulations (GDPR)

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Activity: Review the Explorer level presentation on creating digital content and complete the activities on surveys and viewing data

D3 Project: Creating digital content

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Activity: Review the Expert level presentation on creating digital content and complete the activities on surveys and viewing data

Some data gathering tools

Integrating content >>