{"id":32019,"date":"2022-11-22T18:46:50","date_gmt":"2022-11-22T18:46:50","guid":{"rendered":"https:\/\/caseyfamilyv2.wpengine.com\/data-sharing-implementation\/"},"modified":"2026-05-12T17:24:35","modified_gmt":"2026-05-12T17:24:35","slug":"implementacion-de-intercambio-de-datos","status":"publish","type":"post","link":"https:\/\/www.casey.org\/es\/data-sharing-implementation\/","title":{"rendered":"\u00bfC\u00f3mo se puede implementar eficazmente el intercambio de datos entre los sistemas que atienden a ni\u00f1os y familias?"},"content":{"rendered":"
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Summary<\/h3>\n

Sharing data turns child welfare into a community effort rather than just a child protective services’ responsibility.<\/em><\/p>\n<\/div>\n \n \n \n <\/div>\n<\/div>\n\n\n

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Complex issues \u2014 such as those encountered in child welfare \u2014 require complex solutions, often necessitating cross-system data sharing and collaboration. Improving the safety and well-being of children and families requires a vision and tools beyond the scope of child protection. It requires a concerted and coordinated effort across multiple agencies \u2014 as well as a much higher level of partnership with impacted communities \u2014 to address the root causes of family stress that lead to higher risks of child maltreatment. Using data to inform this strategy is paramount.1<\/sup><\/a>,<\/sup>2<\/sup><\/a><\/p>\n

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Traditional child welfare practice focuses on individual-level accountability, often largely ignoring community conditions such as poverty, crime, and inequities in education that impact the well-being of children and families, particularly those in traditionally underserved communities including communities of color. If child welfare continues to function in a silo, community-level problems will continue to impact children and families and high rates of child welfare involvement will persist.\u00a0<\/span><\/p>\n

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Sharing data can inform a public health approach<\/span><\/a> to child welfare, situating child protective services (CPS) within a broader continuum of family support and aligning the efforts of multiple agencies. Utilizing data from across systems \u2014 such as vital records, healthcare<\/span><\/a>, housing, public benefits, education<\/span><\/a>, and the courts<\/span><\/a> \u2014 can help communities better understand areas of strength and need, informing community-based approaches to increase child safety.\u00a0<\/span><\/p>\n<\/div>\n \n \n \n <\/div>\n<\/div>\n\n\n

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Foundational elements<\/h2>\n \n \n \n

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Implementing data sharing across systems can be a complicated, time-consuming process. Building collaborative relationships, developing safe data transfer and storage protocols, and creating and finalizing data sharing agreements all are necessary steps. Starting with a relatively small, simple project using shared data can lay the groundwork for successful larger, more complicated projects in the future.\u00a0<\/span><\/p>\n

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Build in time for creating strong working relationships\u00a0<\/span><\/b><\/h3>\n

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Sharing data with other agencies and systems can feel risky. It naturally involves some degree of vulnerability, as data may reveal areas where processes may not be as effective and outcomes may not be as positive as envisioned. Taking time to build effective working relationships with representatives from other agencies \u2014 including the development of shared norms, a joint vision, and common goals \u2014 is both a critical first step and an ongoing process. Maintaining trust involves ensuring that products created using shared data are relevant, explains researcher Hilary Shager, associate director of programs and management for the Institute for Research on Poverty at University of Wisconsin\u2013Madison. \u201cThe time, effort, and investment has to go into building the relationships, building the structures where partners have an opportunity to review results,\u201d she says. \u201cWe have learning exchanges with (the child protection agency) where we have faculty who are using the data for research come and present. It\u2019s really a partnership. We are always leading with, \u2018How is this going to be useful for you?\u2019 We design the evaluation and research to be responsive to that from the get-go.\u201d<\/p>\n

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Develop data sharing agreements and transfer processes<\/b><\/h3>\n

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Developing data sharing agreements and data transfer processes \u2014 and getting those agreements and processes approved and implemented \u2014 can take a long time. Project timelines should reflect that. Similar to child protection agencies, some partners may have legal restrictions of their own (for example, educational institutions are all bound by the federal privacy provisions of FERPA). Once one data sharing agreement is developed, however, developing subsequent data sharing agreements with similar partners may occur more quickly.\u00a0<\/span><\/p>\n

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Connecticut\u2019s<\/b><\/span> report on legal issues in interagency data sharing<\/span><\/a> includes practices to facilitate data sharing and provides summaries of federal laws impacting data sharing in child welfare, criminal justice, drug and alcohol use disorders, early childhood, education, health, homelessness, mental health, social services, and workforce development. Based on an analysis of survey data and existing data sharing policies from across state agencies, a review of relevant laws and regulations, and consultation with state and national experts, the report offers two primary recommendations to facilitate a data-driven approach:<\/p>\n