The Center for IDEA Early Childhood Data Systems

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The Center for IDEA Early Childhood Data Systems Data Culture: What does it look

The Center for IDEA Early Childhood Data Systems Data Culture: What does it look like in your program? February 6, 2019

Session Objectives Part C and Part B 619 recognize the important of creating a

Session Objectives Part C and Part B 619 recognize the important of creating a culture of data use and supporting data teams to effectively use data at the local and state levels. Hear and share about efforts (and supporting tools) to build a culture of data use and reflect on your program’s data culture. 2

Introductions State Panelists Brenda Sharp, LA Lisa Backer, MN 3 Da. Sy Haidee Bernstein

Introductions State Panelists Brenda Sharp, LA Lisa Backer, MN 3 Da. Sy Haidee Bernstein Tony Ruggiero

What is data culture? Mo Vision n de ling tio a r o b

What is data culture? Mo Vision n de ling tio a r o b lla Co Data Culture Ac t en cou itm mm o C Beliefs 4 nta bili ty

“Culture does not change because we desire to change it. Culture changes when the

“Culture does not change because we desire to change it. Culture changes when the organization is transformed; the culture reflects the realities of people working together every day. ” – Frances Hesselbein 5

What ingredients do you need? Process (30%) People (50%) Product (20%) Data Culture 6

What ingredients do you need? Process (30%) People (50%) Product (20%) Data Culture 6 https: //www. wholewhale. com/tips/data-culture-building/

Your Data Culture Work What are 1 -2 things you are working on right

Your Data Culture Work What are 1 -2 things you are working on right now to enhance your data culture? 7

How familiar are you with the Data Culture Toolkit? 8

How familiar are you with the Data Culture Toolkit? 8

Data Culture Toolkit: Supporting State and Local Data Use

Data Culture Toolkit: Supporting State and Local Data Use

Louisiana: Teaming to Support Data Brenda Sharp 10

Louisiana: Teaming to Support Data Brenda Sharp 10

General Supervision Louisiana SIMR: improve child outcomes through supports that are focused on family

General Supervision Louisiana SIMR: improve child outcomes through supports that are focused on family concerns, priorities and resources and provided through a team -based approach. Phase III, Year 1—made 2 infrastructure changes that required follow up for implementation fidelity: – Designating availability of a service resource – Changing the child outcome measurement process

Louisiana Process for review: generate a report at the state level, disaggregate by region,

Louisiana Process for review: generate a report at the state level, disaggregate by region, send to regional staff for review and follow up with individual agencies. Teaming Plan Considerations Worksheet selected for staff discussion on using data for decision making What we learned – – 12 State staff doing all the work No buy in from agencies Conversation was perceived as punitive State staff needed support on using reports

Minnesota: Assessing Data Use Culture Lisa Backer 13

Minnesota: Assessing Data Use Culture Lisa Backer 13

Formal Strategies: SSIP Infrastructure Analysis State: Da. Sy Framework completed by SSIP leadership team

Formal Strategies: SSIP Infrastructure Analysis State: Da. Sy Framework completed by SSIP leadership team during Phase I Survey of all local ECSE programs (Part C and 619) and leaders using INSPIRE ACTION 1. 0 program self assessment 14

Phase I: Local Program Assessment

Phase I: Local Program Assessment

INSPIRE 5 4 3 2 1 0 16 I N S P Part B

INSPIRE 5 4 3 2 1 0 16 I N S P Part B I Part C education. state. mn. us R E: Tech E: Adpt

ACTION 5 4 3 2 1 0 A C T Part B 17 education.

ACTION 5 4 3 2 1 0 A C T Part B 17 education. state. mn. us I Part C ON-Coll ON-Use

Specifics of Data Use Local program leaders and staff were not choosing to use

Specifics of Data Use Local program leaders and staff were not choosing to use discretionary time to conduct data analysis. Some indicated lack of skill. Few had improvement plans that were data driven. Comments included a sense from local programs that the number of children in their data sets were too small to use to draw meaningful conclusions. 18

Less Formal Strategies Conference evaluations Regionally Representative Leadership Team Data reported by Professional Development

Less Formal Strategies Conference evaluations Regionally Representative Leadership Team Data reported by Professional Development Facilitators (PDFs) 19

Acting on Assessment Look-Think-Act process to support local data use. Investment in data infrastructure

Acting on Assessment Look-Think-Act process to support local data use. Investment in data infrastructure for all students. Pushing more data and more useful data to local programs using Tableau. Making data part of connection points between state staff and local programs. 20

Discussion Based on what you have learned today about the Toolkit and from your

Discussion Based on what you have learned today about the Toolkit and from your colleagues… – How might you use the Data Culture Toolkit going forward? – How might you use the information from your colleagues? 21

Going Forward…How Can Da. Sy Support You? 22

Going Forward…How Can Da. Sy Support You? 22

Contact Da. Sy Visit the Da. Sy website at: http: //dasycenter. org/ Like us

Contact Da. Sy Visit the Da. Sy website at: http: //dasycenter. org/ Like us on Facebook: https: //www. facebook. com/dasycenter Follow us on Twitter: @Da. Sy. Center 23

Thank you The contents of this tool and guidance were developed under grants from

Thank you The contents of this tool and guidance were developed under grants from the U. S. Department of Education, #H 326 P 120002 and #H 326 P 170001. However, those contents do not necessarily represent the policy of the U. S. Department of Education, and you should not assume endorsement by the Federal Government. Project Officers: Meredith Miceli, Richelle Davis, and Julia Martin Eile. 24