Establishing IDS

Research Administration

Integrated data systems require administrative processes to be successful when sharing data. Below are IDS research administration activities: Logging in research requests Tracking the progress of a research request through the approval process Documenting data use agreements (DUAs) and required data security certifications Training on the handling of sensitive data Reporting back results to data […]

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Partnerships with Stakeholders

Integrated data systems exist in order to because providers, researchers, and executive leaders come together with the goal of answering  complex questions about how social services can more effectively and efficiently meet the needs of the public. Because of this, integrating data is a process of evaluation, discovery, and improvement by stakeholders with various perspectives.

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Scientific Issues

Integrated data systems require attention to scientific issues (such as data quality and data integration methods) in order to produce reliable results. Therefore, research questions must be able to be tested and answered using appropriate methods with integrated data. Scientific expertise frequently aids in the interpretation of results and plays a part in the translation

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Data Quality Audits

Accurate data are essential to maintaining the integrity of research. In order for an integrated data system to produce the most dependable results, the governing board overseeing the IDS must establish appropriate methods for assessing the reliability and validity of data elements to maximize the utility of the information they contain. Below lists several established

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Data Integration

The critical methodology for creating integrated data systems is the process of record linkage, which refers to the joining or merging of data on the basis of common data fields. The data fields are usually personal identifiers (e.g., name, birth date, social security number), or an encrypted version of those identifiers. Other examples of data

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Governance Process

Every integrated data system requires a formal governance process. Governing boards are typically composed of representatives from source agencies of various databases. These agencies have legal responsibilities for use of their data, and, depending on the data source, often must approve individual requests for data use. The governing board may also include data quality and management

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