url
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/2944
o:resource_class
	ire:BookChapter
ire:author
	Krumm, Andrew E.
	Bowers, Alex J.
ire:title
	Data-Intensive Improvement: The Intersection of Data Science and Improvement Science
ire:isPartOf
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item-set/3188 Section IV: Designs, Tools, and Methods of Improvement Research in Education [Foundational Handbook]
ire:isbn
	978-1-5381-5234-8
ire:url
	https://rowman.com/ISBN/9781538152348/The-Foundational-Handbook-on-Improvement-Research-in-Education Publication Webpage
ire:date
	2022
ire:pages
	465-483
ire:publisher
	Rowman & Littlefield Publishers
ire:editor
	Peurach, Donald J.
	Russell, Jennifer Lin
	Cohen-Vogel, Lora
	Penuel, William R.
ire:status
	Published Text
ire:genre
	Synthesis/Overview
	Methodological
ire:related
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/3231 Bill & Melinda Gates Foundation
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/2596 Carnegie Foundation for the Advancement of Teaching
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/3116 WestEd
ire:alternateName
	Chapter 20
ire:resourceType
	Research/Scholarly Media
ire:inPublication
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/2924 The Foundational Handbook on Improvement Research in Education
ire:apa
	Krumm, A. E., & Bowers, A. J. (2022). Data-Intensive Improvement: The Intersection of Data Science and Improvement Science. In D. J. Peurach, J. L. Russell, L. Cohen-Vogel, & W. R. Penuel (Eds.), The Foundational Handbook on Improvement Research in Education (pp. 465-483). Rowman & Littlefield Publishers. https://rowman.com/ISBN/9781538152348/The-Foundational-Handbook-on-Improvement-Research-in-Education
ire:approachConcept
	Data-Intensive Research
	Data-Intensive Improvement
	Improvement Science
	Data Use
	Continuous Improvement
	Assessment
	Research Practice Partnership (RPP)
	Collaborative Data-Intensive Improvement (CDI)
	Collaborative Data-Intensive Research (CDIR)
	Data Visualization
ire:featuredCase
	http://core.miserver.it.umich.edu/omeka-s/s/ire/item/3132 Carnegie Math Pathways (CMP)
	Central Valley Networked Improvement Community (CVNIC)
	Youth Data Archive (YDA)
	DataShop
	Chicago Public Schools (CPS)
	Educational Opportunity Project at Stanford University
	Society for Improving Medical Professional Learning (SIMPL)
ire:openAccess
	No
ire:nationalContext
	United States

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