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NEA National Arts Education Data Project

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Archived

“The Arts Endowment’s support of a project may start on or after September 1, 2014.”

Through the National Arts Education Data Project, the NEA proposes to build capacity within all state departments of education to collect and report arts education data from SLDS and other state department of education data sets on an annual basis. In a period of up to four years, we anticipate that data from a

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The project “NEA National Arts Education Data Project” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

“The Arts Endowment’s support of a project may start on or after September 1, 2014.” Through the National Arts Education Data Project, the NEA proposes to build capacity within all state departments of education to collect and report arts education data from SLDS and other state department of education data sets on an annual basis. In a period of up to four years, we anticipate that data from all states will be included in a newly developed online database with web-based data dashboards and associated data visualization tools. For the first time, the most current school-level arts education data will be centralized in one location through this project, accessible to everyone. The purpose of this Program Solicitation is to select an organization (Cooperator) to implement the National Arts Education Data Project activities as described below. In brief, the Cooperator will: • Plan, coordinate, and implement the National Arts Education Data Project for K-12, school-based learning environments. Projects must include three components: 1. Identify the state department of education datasets (including SLDS) that will be used, as well as the data extraction plan. 2. Build an online database that will extract arts education data from SLDS and other state department of education data sets. 3. Train staff from state departments of education to use the new system. • Promote, disseminate, and monitor the activities. • Evaluate the program.

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High

Data quality score

100%

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