Data Needs To Be Linked
A challenge with whether the data we’ve collected is being used to better understand students, learners and workers and inform decision-making.
A challenge with whether the data we’ve collected is being used to better understand students, learners and workers and inform decision-making.
Related data points across (and within) systems and organizations need to be connected to generate useful information and answer important questions. Data is integrated and aligned with other data to generate insights that cannot be gained otherwise. Data integration refers to the process of combining data from different sources to create a unified dataset.
Are we linking collected data with other data points?
Are we linking data in a sustainable way?
Are we linking data in a secure way?
Are we linking data at scale, or is it only linked in specific circumstances?
We can utilize technical processes to create and maintain these connections in a responsible, secure, and equitable manner. Part of creating technical processes for connecting data is creating interoperable systems in which data can speak to each other across data environments and organizations. Technical steps also include securing the appropriate technical expertise and capacity.
Cooperation and collaboration and data governance between stakeholders to manage, monitor, and sustain these connections. Processes and structures of cooperation and collaboration are made sustainable when there is intentional soft infrastructure that defines roles, responsibilities, and relationships across stakeholders.