Data, Evidence, and Decision-Making

In the first lecture we were taught about digital platforms. Platform in digital world can be defined as the tools based on modern technology. We learnt that government can use API to release data to third party, which in turn can be used to create and provide services.

While the second lecture was about the new gold called DATA. Data is an integral part of drafting policy and efficient governance. We need to understand not just how data is supposed to be used but also which data exists. The issues of privacy and consent surrounds data handling and management. While global digital and IT giants like Facebook and Google has been accused of collecting and misusing data. There is also a growing mistrust among the Canadian’s on how their data is being handled by the government. To ensure that Canadian’s believe in the government policy’s, it has to constantly redesign the legislations on how to collect data and use it.

Quality data should be collected with integrity to ensure that people understand importance of data collection process adopted by the government. Instilling trust among the people is an imperative task. To add to this, data can be presented in many different ways. Thus, evidence-based decision making needs to consider the growth of internet and its implications as well as data management.

However, there are few issues which were touched upon in the lecture. The first was Silo–which prevent progress. And, the second was the underinvestment in the employee learning.

To sum it up, data governance and decision making can be accompanied by trustworthiness from certifications (Trustable Tech Mark) and proactive transparency to inform the users.

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