Previous Step
Up to this point, you should have a strong understanding of the Data Collaborative model. Also, now that you understand the importance of selection from the Implementation 3.0 pillar, we wanted to share the persona profiles that we have been able to develop for the Data Collaborative community. This is to share what we learned to be the appropriate criteria for the people side of the project.
This section breaks down the people involved in the Data Collaborative community. As the diagram below depicts, as well as previously described in the Background, the Data Collaborative is a community of different stakeholders that all work toward a common Aim. Each group has a different role that helps facilitate, and eventually achieves, the success of the community. When the model is replicated, it is important to focus on selecting the right people for the right role. In this section, we have broken out the different categories of people, and then created subcategories within each one. This should help set up the model for success.
The Data Collaborative Team has evolved and grown over the years. The project began with just Deepti Panjabi and consultants. Eventually she developed a team that included the four people represented below. Each position below will include the following:
The value we see in providing this information is that you can better understand how to set up a future team and the experience that we had when developing the project. We hope the additional job description and experience will help in the selection process in building a new team when replicating the Data Collaborative model.
Here is a Google Sheets document that can help project cost and number of staff needed to implement the Data Collaborative model. The document allows for the user to customize for two different organization types and project phases. The tabs in the spreadsheet are progressive in regards to timeline from left to right.
The first four tabs (Exploratory + Installation, Initial Implementation, Full Implementation, and Both/Constant) are all detailed distribution of hours based on the four roles described in detail above. The hours are based on the Data Collaborative's best prediction of work and past experience. The Distribution of Hours tab is where the different phases will aggregate.
The Data Collaborative Partners participate in triads in the Data Collaborative community. Each organization has three individuals with unique and diverse sets of skills that when put together encompass the total body of work that the Data Collaborative's Aim requires. Each person has specific bodies of work that help fulfill the requirements of the work. To help guide and assist in selecting the right people, we have provided the following information for the positions reflected below. Each position below will include the following:
The value we see in providing this information is that you can better understand how to set up future teams and the experience that we found helpful during the facilitation of the Data Collaborative community. We hope the additional information will help in the creation of new organization teams. It was important to have multiple people involved in organizations to help with dispersing the culture of data use and the challenges toward sustainability with organization staffing turnover.
Organization Leader
Data Leader
Frontline Staff Leader
The process provided here is the journey that an organization would follow to join the Data Collaborative community. Each step within the process will provide additional context as to the intention of the step, supporting resources that can be leveraged or tweaked based on your situation, and criteria that reflects our best learning. It is important to note that this process was not applied due to never expanding the community.
Supporting organizations and people is the most diverse category that we have in this step. We have had a lot of help along the way and we want to make sure that those bridges remain intact after we are done. These stakeholders were working around our community in a way that influenced our work. It was important to be aware of them and many times helpful to have their contact information readily available.
In this section, we hope to provide the following when applicable: