BhattG. D., and ZaveriJ. (2001). The enabling role of decision support systems in organizational learning. Decision Support Systems, 32, 297—309.
2.
BrucknerR. M., ListB., and SchieferJ. (2001). Developing requirements for data warehouse systems with use cases. Proceedings of the Seventh Americas Conference on Information Systems (AMCIS) 2001 (pp. 329–335). Boston: AMCIS.
3.
BurmasterE. (2006). Letter from EIMAC to OMB on EDEN notice for proposed rule making, 5/19/06. Washington, DC: Education Information Management Advisory Consortium (EIMAC) of the Council of Chief State School Officers. Retrieved June 24, 2006, from http://www.ccsso.org/content/PDFs/BurmasterEDENlettertoOMB.doc.
4.
ByrnesJ. (2005). New CIO role: Change warrior. Working Knowledge for Business Leaders. Boston: Harvard Business School. Retrieved December 19, 2006, from http://hbswk.hbs.edu/archive/4854.html.
5.
ChoppinJ. (2002). Data use in practice: Examples from the school level. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA.
6.
CoeR., and VisscherA. (2002). Drawing up the balance sheet for school performance feedback systems. In CoeR., and VisscherA. (Eds.), School improvement through performance feedback (pp. 221—254). Lisse, Switzerland: Swets and Zeitlinger Publishers.
7.
EdenC., and AckermannF. (1998). Making strategy: The journey of strategic management. Thousand Oaks, CA: Sage Publications.
8.
ElmoreG. C., HollowayJ. R., and WorkmanS. B. (2006). Vision, data, and analysis: An administrative structure for decision making. Education Research Series: Issue 11. Boulder, CO: EDUCAUSE Center for Applied Research. Retrieved June 24, 2006, from http://www.educause.edu/content.asp?page_id=666&ID=ERB0611&bhcp=1.
9.
EnglishL. (2002). The essentials of information quality management. DM Review, 12(9), 36—44.
10.
FazlollahiB., and VahidovR. (2001). A method for generation of alternatives by decision support systems. Journal of Management Information Systems, 18(2), 229—250.
11.
GrygoryevK., and KarapetrovicS. (2005). An integrated system for educational performance measurement, modeling and management at the classroom level. The TQM Magazine, 17(2), 121.
12.
HermanJ., and GribbonsB. (2001). Lessons learned in using data to support school inquiry and continuous improvement. Los Angeles: Center for the Study of Evaluation, University of California. Retrieved January 9, 2007, from http://cresst96.cse.ucla.edu/reports/TR535.pdf.
13.
IkemotoG. S., and MarshJ. A. (2007). Cutting through the “data driven” mantra: Different conceptions of data-driven decision making. In and and MossP.A. (Ed.), Evidence and decision making. The 106th yearbook of the National Society for the Study of Education, Part I (pp. 105—131). Malden, MA: Blackwell Publishing.
14.
JaegerR. M. (1978). About educational indicators: Statistics on the conditions and trends in education. Review of Research in Education, 6, 276—315.
15.
KalayP.A.D.C. (2002). Integrating a decision support system into a school: The effects on student functioning. Journal of Research on Technology in Education, 34(4), 435—453.
16.
KeeneyL. (1998). Using data for school improvement: Report on the second practitioner's conference for Annenberg challenge sites. Providence, RI: Annenberg Institute for School Reform at Brown University.
17.
KerrK. A., MarshJ., IkemotoG. S., DarilikH., and BarneyH. (2006). Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts. American Journal of Education, 112(4), 496—520.
18.
KnappM. S., CoplandM. A., and SwinnertonJ. A. (2007). Understanding the promise and dynamics of data-informed leadership. In and and MossP.A. (Ed.), Evidence and decision making. The 106th yearbook of the National Society for the Study of Education, Part I (pp. 74—104). Malden, MA: Blackwell Publishing.
19.
MasonS. A. (2002). Turning data into knowledge: Lessons from six Milwaukee Public Schools. Paper presented at the annual meeting of the American Education Research Association, New Orleans, LA.
20.
MickelsonR. A., and GreeneA. D. (2006). Connecting pieces of the puzzle: Gender differences in black middle school students’ achievement. The Journal of Negro Education, 75(1), 34.
21.
MuthukumarS. L., and HedbergJ. G. (2005). A knowledge management technology architecture for educational research organisations: Scaffolding research projects and workflow processing. British Journal of Educational Technology, 36(3), 379—395.
22.
National Center for Education Statistics (1991). Education counts: An indicator system to monitor the nation's educational health (Final report of the Special Study Panel on Education Indicators for the National Center for Education Statistics No. 91-627). Washington, DC: U.S. Department of Education, Office of Educational Research and Improvement, National Center for Education Statistics.
23.
No Child Left Behind Act of 2001, Pub. L. No 107-110, 115 Stat. 1425 (2002).
24.
O'DayJ.A. (2004). Complexity, accountability, and school improvement. In FuhrmanS., and ElmoreR.F. (Eds.), Redesigning accountability systems for education (pp. 15—46). New York: Teachers College Press.
25.
Programme for International Student Assessment (2005). School factors related to quality and equity: Results from PISA 2000. Paris: OECD.
26.
RivlinA. M. (1973). Measuring performance in education. In and and MossM. (Ed.), Studies in income and wealth (pp. 411—437). New York: National Bureau of Economic Research. Distributed by Columbia University Press.
27.
RothfelderJ. (2006). Get a grip. CIO Insight, 68, 17—20, 22, 24.
28.
SaveriA., and RheingoldH. (2005). Rapid decision making for complex issues: How technologies of cooperation can help. No. SR-935. Palo Alto, CA: Institute for the Future.
29.
ShavelsonR. J., McDonnellL., and OakesJ. (1991). What are educational indicators and indicator systems?Practical Assessment, Research & Evaluation, 2(11). Retrieved June 10, 2006, from http://pareonline.net/getvn.asp?v=2&n=11.
30.
ThornC. A. (2001). Knowledge management for educational information systems: What is the state of the field?Education Policy Analysis Archives, 9(47). Retrieved August 12, 2006, from http://epaa.asu.edu/epaa/v9n47/.
31.
ThornC. A. (2002). Data use in the classroom: The challenges of implementing data-based decision making at the school level. WCER Working Paper No. 2002-2. Madison, WI: Wisconsin Center for Education Research.
32.
United States Government Accountability Office (2005). Education's data management initiative. Washington, DC: U.S. Government Accountability Office. Retrieved June 24, 2006 from http://purl.access.gpo.gov/GPO/LPS65097.
WebbN. L. (2005). SCALE quality indicator system. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.