• Quantifying the value of investments in data and digital assets is complex and estimating return on investments as well as payback period on such investments remain difficult.
• This talk aims to address how we can align departmental strategic priorities, performance indicators and investment in digital solutions.
• A Data Valuation Framework can inform hvikow digital technologies (AI and automation) can be incorporated into the decision-making processes.
• Dr. Pant will share insights in developing a framework for systematically assessing and analyzing the value of a dataset or a digital tool.
• While advancing digital transformation is a key priority for Departments and Agencies across the Government of Canada, decision-makers are facing the challenge of prioritizing and justifying investments in digital technologies.

• The steps taken to enhance accountability and transparency by opening data and information at the RCMP
• The development of the RCMPs data governance framework
• Future of Open Government at the RCMP and the role data governance will play
• Lessons learned in standing up a Data Governance and Open Government Branch

At Canada Post we have focused on building a Data Literacy program over the course of the last 18 months. In this presentation we will share the framework of our program and what our learnings are to date with two specific initiatives that are being driven from this program: The Data Literacy Lecture Series, and the Data Academy. The program is designed to support users to build awareness, skills, and connections in support of how to read, manipulate, produce, and communicate with data. At the 18 month point we are able to critically evaluate the direction for the program moving forward and how to best ground the concepts in our business culture so that we can continually move beyond the buzz of data and as a corporation are able to better manage, consume, and produce data.

• lessons learned and best practices to integrate data with performance measurement requirements
• results-based measurement meets big data
• leveraging government service delivery frameworks with advanced data analysis
• the role of data visualizations in telling compelling impact related performance stories
• implications for integrated planning and evaluation

• Transparent data are those that can be discovered, understood, or responsibly used, and this happens because there is enough information to allow it
• The available information include descriptions of the data and related things, and these are called metadata
• These metadata help to answer some of the following questions:
  • Do some data exist, if so where are they, and how are they obtained?
  • How are the data represented, what do they mean, and how are they laid out in a file or feed?
  • What are the design considerations and restrictions associated with how the data were generated and may be used?
• We need to be sure, in principle, the necessary metadata exist, and this is through the notion of conformance to a metadata specification – which we explain
• In practice, the metadata also have to be the “right” metadata; they need to be of high quality
• Finally, the system(s) built to facilitate the discovery, understanding, and use activities need to be usable