# data[].attributes.headline
What are your current data projects and what tools, data sources, and skills are you using to complete the projects?

# data[].attributes.subject
What are your current data projects and what tools, data sources, and skills are you using to complete the projects?

# data[].attributes.headline
What challenges or barriers are currently limiting progress in this area? 

# data[].attributes.subject
What challenges or barriers are currently limiting progress in this area? 

# data[].attributes.body
Are there specific obstacles?

What is something that you want to do or explore using data but there is an obstacle?

# data[].attributes.headline
What are we not doing that we should/could be doing using data? 

# data[].attributes.subject
What are we not doing that we should/could be doing using data? 

# data[].attributes.body
What are the priorities that are informing our purpose for working with data?

# data[].attributes.headline
What innovation, or passion projects do you envision as a result of working together? 

# data[].attributes.subject
What innovation, or passion projects do you envision as a result of working together? 

# data[].attributes.body
Are there any untapped possibilities you’re particularly excited about exploring?

# data[].attributes.body
RFP proposal - looking at data that shows evidence of impact and effectiveness (Google Forms, Frontline)

Quarterly reports - evidence of attendance and district participation (Google Forms, Frontline)

IDEA Committee - analyze survey data for PD planning

Budgets - financial forecasting

# data[].attributes.body
My department collects NYS sirs accountabiity data, 3-8 and regents testing data, NYS publicly released data, and now working with some labor relations data. WE house this data for 175+ wnyric districts as well as 5 hosted Regional centers from all over NYS and 2 of the big 5 city school districts.

Use a number of tools mainly IBM COGNOS for reporting and visualization, various database software, and custom programming.

# data[].attributes.body
My data related project for this year is tracking teacher use of software across Instructional Services and using results to inform choices related to renewals or adding new software.

# data[].attributes.body
Using data to review CTE enrollment, student retention and identify potential new one and two-year career pathways. A goal of mine is to start utilizing data to improve teacher recruitment and retention.

# data[].attributes.body
Utilize Data Warehouse to pull math assessment data in order to inform instruction.

Develop common formative assessments in eDoctrina, utilize eDoctrina data to identify student misconceptions and develop reteaching opportunities.

E1B Math team creates a data trend reports for 3-8 math assessment data.

# data[].attributes.body
-Usage reports -- Gathering and analyzing teacher responses to decide on future technology program purchases for the upcoming school year (Google Forms, Spreadsheets, etc).

-Admin Walkthroughs -- Developing a Microsoft PowerApp for walkthroughs in a district and assisting admin with analyzing this data. From there we work to identify professional development goals for the district (what PD do we need to provide?)

# data[].attributes.body
Current projects:

WNY SMART Collaborative - collective impact to identify data sources & specific data points to collect across stakeholders

Community Schools CoSer: exploring needs assessments, mostly utilize data for grants & proposals - could be utilizing data more. Actionable data is a key component of the Community Schools framework and we need to explore this area more.

Tools: Community conversations, google forms - feedback, Christina, Excel, Google Sheets

Data Sources: Christina, district reporting, community partner data, RBERN

Skills: Collaboration, community engagement, relationship building

# data[].attributes.body
My day to day work includes supporting the collection of student data (demographic, enrollment, program services a student receives), staff data, courses a teacher teaches, courses students take, digital resources, attendance, and assessment data. My team supports 175+ WNYRIC LEA's with data collection, Buffalo, and Rochester, an additional 5 RICs, totaling over 500 LEAs statewide. We produce reports on all data collected and train users on how to use the reports. We support 3 data collection systems (Level 0, Level 1, and Level 2) and use multiple other system to complete our work (NYSSIS, SEDREF, SEDDAS, IRSP, IDEx, NYSED Application Business Portal on which we routinely receive questions ranging from access to analysis and data quality troubleshooting. We also provide training on each system and assist districts in best practices for data analysis. Other projects include custom applications for E1B Labor Relations team and Regionalization support. This requires excellent communication skills, organizational skills, collaboration across BOCES and districts, and the cultivation of strong relationships internally and with our districts, BOCES, and hosted RICs

# data[].attributes.body
School Leadership Applicant Data- Applicant Tracker, School Front, and Excel

# data[].attributes.body
Data analyses, statistical analyses, looking for trends/patterns/inequities, Data Warehouse, District SMS, NYS Report Card Data/publicly available data, survey data, qualitative data, Excel, Access, R

# data[].attributes.body
Employee Data for staff with benefits and also per diem staff:

Certification status

Probationary status

Tenure tracking

Covid leave

Unpaid leave of absence

Per diem hires

Retention data

Salary projections

Data Sources:

Wincap

TEACH

Wincapweb

Division Sharepoint data

# data[].attributes.body
I use data to encourage districts to strengthen their PE programs and overall school wellness culture.

We complete the School Health Index with school buildings to determine how well their wellness policy is being implemented.

I use surveys to inform our work.

# data[].attributes.body
Budget Analysis of revenues and expenditures- WinCap, Excel, Participation Reports,

# data[].attributes.attachment_caption
This triangle is the way that I present the ideal distribution of student population within the tiers MTSS framework. 

# data[].attributes.body
MTSS Implementation

I support component districts in analyzing current RtI/MTSS Systems and enhancing knowledge and practice to make systems more effective.

Project

I've been working on creating data dashboards and data review structures for MTSS data for districts that are not ready/willing to purchase an vendor-provided data dashboard. The emphasis is on using data to:

determine and identify individual student needs

inform instruction and intervention

measure student growth

understand performance for different cohorts/populations/subpopulations

gain insight into the effectiveness of systems in supporting students

support/challenge resource allocation (human and material)

Data Sources

State assessment data

universal screener data

diagnostic assessments

referral numbers - each component of MTSS, overall MTSS, and CSE

needs assessments (district and building level)

Skills

Google forms

Google sheets - formulas, conditional formatting, counts/countifs, data validation...

Data warehouse

# data[].attributes.body
Tracking placement of full time position- Excel

# data[].attributes.body
Using instructional data mostly NYS assessment data for data analysis with district admin and teachers. We analyze trends and determine actionable steps.

# data[].attributes.body
Reviewing Instructional Technology Products and analyzing regional purchasing to predict what products districts will be looking to purchase.

Looking at BRC Recommendations to look at new service.

Training on and helping districts bring AI into their classrooms and helping analyze data to determine the impact that AI is having on Teaching and learning.

# data[].attributes.body
Employee retention, diversity, demographics, account and access automation, mass notifications, contract workflow based on types and areas.

Excel, Access, PowerPoint, Visio, SharePoint

WinCap, SchoolFront, eSchool, AD

analysis, data transformation, process design, presentations, coordination.

# data[].attributes.body
My role with the data is a little different than most. I supervise the staff who support the physical infrastructure housing the L0, L1, and L2 data. I ensure appropriate security, processing power, storage capacity, and network connectivity for supporting the data warehousing data projects. I work directly with the application developers to help steer the infrastructure to aid with the success of data projects.

# data[].attributes.body
We sometimes have a need to compare Regents scores that are in a student management system vs. scores that are in the state data warehouse. In the past, this has been done in an Access database program, but we have trouble keeping the Access database updated throughout the years, and the program has become harder to use. I am now using Excel, but it takes longer. Data sources are the SMS and SIRS.

# data[].attributes.body
Report Card Data- Implementing a new report card process for K-4 teachers-eSchool

Attendance Tracking-eSchool

Software Program Usage Reports and Price Points for Budget Prep- Excel, Forms

Social Emotional Student Check-ins-AimsWeb

RTI & MTSS Tracking and Data-AimsWeb, Sharepoint, Forms, Excel

# data[].attributes.body
I am not currently working on a project but the RBERN will be using data to write for:

the next 5-year RFP

the required quarterly report

# data[].attributes.body
I have been working on including district participation in ServiceNow over the last few years. Most of this data comes from WinCap and requires our service owners and the districts to update and modify these records and then the information is used to go back into WinCap and also leveraged to give our service owners and districts more transparency to these services and also present it to the districts in a easier way for them to digest. I use our employees to help drive what we do with the data I also utilize AI to help me develop ideas I did not previously have the skillset to execute.

# data[].attributes.body
Barriers:

Data collection limitations:

Data I want may not be collected or shared

Unaware of the sources of data and what data is out there

Collecting and sharing the data on our impact and participation is not always being shared at each of our levels in the organization AND what data points would show impact (achievement, participation, etc.)

Data Usage:

Data may be presented but not usable, able to literally extract it but then the ability to understand and read

Time:

Not necessarily the priority so time is limited

Some data is not disaggregated in the requested way and it is too time consuming to do manually

# data[].attributes.wish_content.attachment_props.alternative_text
Please draw Josh Allen at the Super Bowl in the north pole with a yellow koala

# data[].attributes.body
Tracking Survey and Feedback Data- Several Topics

Excel

# data[].attributes.body
Coordinators from the Instructional Resource Team (IRT) typically identify and pull various item analysis/performance analysis reports found in Level I of the Data Warehouse. These reports are shared with teachers and building leadership teams to assess overall student performance and determine next steps for curriculum, instruction and "real-time" assessment.

# data[].attributes.body
Data projects are constant in my world. The team I work on is responsible for gathering and verifying data for the districts and charters we support, ensuring NYSED reporting deadlines are met. We routinely utilize the Level 0 Data Warehouse, Level 1 Dataview, Level 2 SIRS reporting tools to verify all data sets. We are in constant communication with our districts and charters through email, phone, and in-person visits. I mainly use Microsoft Office and Google online tools to share and maintain information, as well as utilize my organizational and inter-personal abilities to maintain good rapport with my districts and charters.

# data[].attributes.body
In my previous position, we analyzed data to see how each school in our district was performing for the NYS Science CBT. From the data we began looking at how we could implement certain standards into lessons where students were having difficulty. We then took those standards and tied them into SDG standards as well. The goal was to begin implementing these standards with the hope that the next section of fifth grade students would achieve better results on the CBT.

# data[].attributes.body
State Assessment Data - for teachers to analyze their students' scores & comparisons to other districts

(Data Warehouse, Excel, Sheets)

# data[].attributes.headline
Know where and how to access the data needed

# data[].attributes.subject
Know where and how to access the data needed

# data[].attributes.body
My team is responsible for conducting Comprehensive Organizational Assessments with districts identified for support from NYSED. This involves conducting needs assessments and root cause analysis using a variety of levels of data (IDEA, school report card, building level performance and behavioral data, etc.) Skills: data seeking, data collection, data visualization, data analysis, root cause analysis, SMART goal development, progress monitoring toward goal achievement, facilitating data teams, etc Tools: data warehouse, OSE data dashboard, surveys, district & building level data management systems

# data[].attributes.body
Level 0, SIRS,CLNA and Perkins Data,

CTE: Community need/Job Outlook, Advisory Council, CDOS/Tech Endorsement, Enrollment Data, Data Driven Instruction, PL Programming, Professional Learning, Cost of Programming, Estimating Cost of Programming, Student Gap Analysis, Student/Staff/Component school district survey

Programs: Dept. of Labor Reports, YouScience, STAR, CBT, NYSSA Kite, NYSESLAT, Regents, Component District and E1B District reports, Purchasing reports, enrollment data reports

# data[].attributes.headline
Siloed structure of departments and divisions

# data[].attributes.subject
Siloed structure of departments and divisions

# data[].attributes.body
-Time

-Cost barriers

-Receiving the response, "I never saw/received that survey!"

-Different interpretations of the mission/goal

-We have all this data...now what? No action after data is collected

# data[].attributes.body
Lack of opportunities for cross-departmental collaboration/conversations/learning, lack of available/timely data, what data is collected, who collects the data, missing data, accessing data not as streamlined/easy as possible, others' understanding of the data, exploring additional data

# data[].attributes.body
Time

Access to the data

Data quality--can you trust the data you are accessing

Limitations of the tools and technical issues

Working with vendors

Tradition -- "we've always done it that way" -- getting buy-in from stakeholders

Need to improve the process for selecting vendor products to ensure data access

There are many data sources, and it can be hard to analyze data in different formats

Lack of formalized data structure

Teams are siloed

Survey data may not follow best practice--we could use more training on creating good surveys

# data[].attributes.body
Staffing

(a)-Ability to properly size team to needs

(b)-Attracting candidates that have the skills but fit within civil service parameters and salary needs

(c)-developing staff that we already have

Resources

(a)-$$ for infrastructure expansion

(b)-time to learn new skills

(c)-districts lack adequate staff to appropriately support themselves or respond to assistance from BOCES

Transparency about BOCES plans/initiatives

Lack of response to requests for collaboration

Trust - departments are reluctant to reach outside their own groups for assistance

# data[].attributes.body
Barriers:

Districts providing data. Even verifying with the state, data is not accurate. Inaccurate measurements that drove data input.

District buy in. If a district doesn't understand the model, they don't provide the data needed. Access to data and knowing which data sources are available can be a challenge as well. Relying on data we know, does not paint the full picture.

Person in district pulling data may not be providing the best way to look at the data.

Time. Supporting multiple school districts does not allow success for each district. Some districts do not have the capacity to analyze the data or pull it.

Something you want to do:

Predictive modeling. What the needs are going to be. What can we do to meet these needs.

Understand different management systems and what they can do. What data can we run off of these systems? Wanting to be able to understand multiple different systems such as Frontline.

Unleash AI on data.

Trying to help people recognize that data is an important number, but it cannot be looked at in isolation. There is more to the story than just a number.

How to make the data meaningful for districts.

Asking the right questions to address the foundation and the root of the problem.

Provide different viewpoints on data to help support the needs of districts.

Impower our teachers to use meaningful data.

Impower all roles to see data as a tool.

Break through to teachers that data is not personal but a tool to help drive improvement in the classroom.

# data[].attributes.body
By department- changes, prep planned, added on, impact on department staff

# data[].attributes.body
Data Sources: NYSED Public Data, SIRS data collection, Test scoring data, Textbooks data

Skills: .NET, Cognos, Crystal Reports, Oracle, SQL Server, Access

Projects: Applicant Tracking Reporting, Regionalization Results Reporting, MPN Projects Processing and Reporting

# data[].attributes.body
Districts can be intentional on schedules based on research and student learning

# data[].attributes.body
Cost for Health Care, Productions, EAP, data points

# data[].attributes.body
Missing shared best practices for organization-wide procedures

Not measuring our impact impedes our ability to reflect and grow

Missing transparency vertically which leads to trust issues because we tend to fill in the blanks and may not be inclined to presume positivity

There is a different mission and vision for data use and interpretation

# data[].attributes.wish_content.attachment_props.alternative_text
please draw a red fish in italy opening a jar of  peanut butter

# data[].attributes.body
What are we not doing that we should/could be doing using data?

Sharing data with ALL relevant stakeholders

Sharing all sources of data organization wide

Using data to inform stakeholders of reasons behind organizational initiatives

More resources to interpret data, to help find anomalies/commonalities

Train more members of the organization on data interpretation

More efficient coordination of data, so more members of organization can use it

Knowing what members are involved at each stage of data collection/coordination at each stage (transparency)

# data[].attributes.headline
Using data to determine the data tools we adopt

# data[].attributes.subject
Using data to determine the data tools we adopt

# data[].attributes.body
Do staff know what data systems we have and are coming.

# data[].attributes.body
We would love to find out

which district is using which curricular program and supplemental resources?

which district is using which curricular program and supplemental resources for their subgroups?

what software are districts using for assessments?

# data[].attributes.body
Based on students and brain chemistry

# data[].attributes.body
Collecting more feedback, following up on suggestions for improvement, clarity about who to contact with questions/requests/suggestions

# data[].attributes.headline
Group 1 (Whitney, Susan M., Kailin K., Matt M, Mary Jo ) 

# data[].attributes.subject
Group 1 (Whitney, Susan M., Kailin K., Matt M, Mary Jo ) 

# data[].attributes.body
Need / New: Data Warehouse Reports (Level I) - Special Ed disaggregation --- comparisons with Gen Ed (Gap Analysis Reports) (for teacher and/or building) (Susan and Whitney to follow-up)

MTSS Support / Data Dashboard(s) - Big Picture Data re -categories - math, ELA, SEL, OT, Speech, Attendance, Behavior --- how do we determine if an intervention is/has been successful? (Renaissance provides some support - currently.)

Community Schools (trauma-informed data) - community organizations provide their own data, some record - keeping ... per KK - more evaluation / survey end-of-year needed / pre-post assessment (s) (what this "successful" / "effective" - how do we measure?) .. . family engagement, for instance --- particularly re things like student attendance in school ... outcome for

# data[].attributes.body
Potential projects:

comparing students' assessment performance with the districts' curricular programs

# data[].attributes.body
What innovation, or passion projects do you envision as a result of working together?

Develop a toolkit to help our organization/component districts to work with data (Critical Lens)