Definition/Introduction
Integrated Data Systems (IDS) typically link individual level administrative records collected by multiple agencies such as k–12 schools, community colleges, other colleges and universities, departments of labor, justice, human resources, human and health services, police, housing, and community services. The systems can be used for quick knowledge-to-practice development cycle (Actionable Intelligence for Social Policy 2017), case management, program or service monitoring, tracking, and evaluation (National Neighborhood Indicators Partnership 2017), research and policy analysis, strategic planning and performance management, and so on. It can also help evaluate how different programs, services, and policies affect individual persons or individual geographic units. The linkages between different agency records are often made through a common individual personal identification number, a shared case number, or a geographic unit.
Purpose of an IDS
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Further Reading
Actionable Intelligence for Social Policy. (2017). Integrated Data Systems (IDS). Retrieved in March 2017 from the World Wide Web at https://www.aisp.upenn.edu/integrated-data-systems/.
Davis, S., Jacobson, L., & Wandner, S. (2014). Using workforce data quality initiative databases to develop and improve consumer report card systems. Washington, DC: Impaq International.
National Neighborhood Indicators Partnership. (2017). Resources on Integrated Data Systems (IDS), Retrieved in March 2017 from the World Wide Web at http://www.neighborhoodindicators.org/resources-integrated-data-systems-ids.
U.S. Department of Education. (2017). Family Educational Rights and Privacy Act (FERPA). Retrieved on May 14, 2017 from the World Wide Web https://ed.gov/policy/gen/guid/fpco/ferpa/index.html.
U.S. Department of Health & Human Services. (2017). Summary of the HIPAA Security Rule. Retrieved on May 14, 2017 from the World Wide Web https://www.hhs.gov/hipaa/for-professionals/security/laws-regulations/.
Widom, J. (1995). “Research problems in data warehousing.” CIKM ’95 Proceedings of the fourth international conference on information and knowledge management (pp. 25–30). Baltimore.
Zhang, T., & Stevens, D. (2012). Integrated data system person identification: Accuracy requirements and methods. Jacob France Institute. Available at SSRN: https://ssrn.com/abstract=2512590 or http://dx.doi.org/10.2139/ssrn.2512590 and http://www.workforcedqc.org/sites/default/files/images/JFI%20wdqi%20research%20report%20January%202014.pdf.
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Zhang, T. (2017). Integrated Data System. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_494-1
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DOI: https://doi.org/10.1007/978-3-319-32001-4_494-1
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