{"id":16,"date":"2023-04-26T12:47:57","date_gmt":"2023-04-26T12:47:57","guid":{"rendered":"https:\/\/cwru-dsci.org\/?page_id=16"},"modified":"2023-06-11T16:21:26","modified_gmt":"2023-06-11T16:21:26","slug":"holding-your-own-data-chat","status":"publish","type":"page","link":"https:\/\/cwru-dsci.org\/?page_id=16","title":{"rendered":"Holding Your Own Data Chat"},"content":{"rendered":"\n
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Within the FAIR2 framework, a Data Chat is a collaboration between researchers and community members that aims to improve our understanding of data around a specific social issue. Sitting together around a table, researchers share data and community members share their perspectives based on experiential knowledge. Community members with experiences represented in the data provide subject matter expertise that helps shape the metadata and the assumptions that guide subsequent data analytics.<\/p>\n\n\n\n

Our Data Chats were informed by those developed by Data You Can Use<\/a> (DYCU), a member of the National Neighborhood Indicators Partnership<\/a>, and outlined in the Urban Institute’s Guide to Data Chats<\/a>. The guide describes Data Chats as a two-way learning experience between data analysts and community members. Community members examine data in the context of their own experiences and consider its implications for community action.<\/em> Data analysts contextualize the data with experiential knowledge that may challenge their assumptions and understanding of the data.<\/em><\/p>\n\n\n\n

We are grateful to Ms. Alice Jackson, Director of ThinkingCapp, who served as a Community liaison and partner for our Data Chats.<\/p>\n\n\n\n

Here are some pointers that can guide the development of your Data Chat.<\/strong><\/p>\n\n\n\n

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