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Data Collection

Data about our districts, schools, staff, and students are submitted to RIDE and used for a wide variety of purposes.

Collecting, validating, and submitting those data is an increasingly complicated task for district technology departments. This page provides district administrators, technology directors and data managers with the necessary resources to manage the data flowing through their departments.

Below you will find information about each collection (Collection Specifications), detailed definitions for each data element collected (Data Dictionary), and the resources necessary to ensure the quality of your data.

Specifications for 2017-18

Specifications for 2017-18

Below are the data collection specifications for the 2017-18 school year. Each document includes the appropriate submission process, data elements descriptions, validations, and changes from the prior year.

All files are in PDF format.

Guidance

Below are the guidance documents on specific data collections for the 2017-18 school year.

All files are in PDF format.

Data Dictionary

The RIDE Data Dictionary

The RIDE Data Dictionary provides definitions, layouts and attributes for the various data elements that RIDE collects, stores and reports. The principle use of this meta-data repository system is to provide a consistent and reliable means of access to data.

Data Dictionary screenshot

The inclusion of data elements in this dictionary reflects state and federal data collection, analysis, storage and reporting requirements.

  • Users may use the system to search for data elements and the embedded code-sets by keyword, entity, domain and data event names, and by program areas and data owners.
  • State, district and school administrators may use the built-in tools to build record layout sheets and data submission templates.
  • Analysts, data administrators and developers can apply the meta-data in system integration, data validations and in creation of enterprise data management and reporting systems.

Go to the Data Dictionary.

Tutorial

A video, Data Dictionary Tutorial: Introduction and Use of Basic Features [MP4], is available to help get you started on the tool.

SCED Codes

SCED Code Information


SCED Codes in General

The Institute of Education Sciences has released an updated list of School Courses for the Exchange of Data (SCED) codes to version 2.0.  The updated SCED codes include new or updated course codes, titles and descriptions.   The SCED code updates need to be reflected in each district systems to accurately link TCS, PARCC Exam and other data between RIDE and the individual districts.


Math Specific Coding for PARCC:

RIDE will be using the mathematics SCED Coding to determine which PARCC exam will be administered to a student.  There will be five Math SCED codes that will be used to trigger the appropriate PARCC math tests for Algebra, Geometry, Integrated Math I and Integrated Math II.

It is important to review your coding for these math courses and update the SCED codes where appropriate. Also be aware of any courses that are categorized as “Mathematics Other” in your system, as this will trigger the Integrated Math II exam.

SCED Codes Course
Title
Assigned
PARCC Test
Course Description
02052 Algebra I Algebra I Algebra I courses include the study of properties and operations of the real number system; reasoning with and creating equations and inequalities; interpreting and building functions; creating and interpreting linear, quadratic and exponential models; and representing and interpreting data.
02054 Algebra I—Part 2 Algebra I The second part in a multi-part sequence of Algebra I. This course generally covers the same topics as the second semester of Algebra I, including Algebra I courses include the study of properties and operations of the real number system; reasoning with and creating equations and inequalities; interpreting and building functions; creating and interpreting linear, quadratic and exponential models; and representing and interpreting data.
02072 Geometry Geometry Geometry courses include understanding the concepts of congruence, similarity, and symmetry of plane figures from the perspctive of rigid transformations. Deductive methods of reasoning and logic are applied to formulate proofs based on the study of axioms, postulates and theorems. Trigonometric ratios and the Pythagoreon therom are used in the study of angle mesurement in triangles.
02074 Principles of Algebra and Geometry Integrated Math I Math I courses begin the study of properties and operations of the real number system; reasoning with and creating equations and inequalities; interpreting and building functions; creating and interpreting linear and exponential models; and representing and interpreting data. The course also includes understanding the concepts of congruence, similarity, and symmetry of plane figures from the perspctive of rigid transformations. Deductive methods of reasoning and logic are applied to formulate proofs based on the study of axioms, postulates and theorems.
02999 Mathematics Other Integrated Math II Math II courses continues the study of properties and operations of the real number system; reasoning with and creating equations and inequalities; interpreting and building functions; creating and interpreting linear and exponential models; Creating and interpreting quadratic models and the study of the rules of probability and using probability to make decisions are included in the course work. The work continues to include deductive methods of reasoning and logic to formulate proofs. Trigonometric ratios and the Pythagoreon therom are used in the study of angle mesurement in triangles.

Data Quality Awards

RI Data Quality Award Program

To recognize the important work going on across the state toward building and maintaining data quality, the Rhode Island Data Quality Award Program will recognize the commitment and effort RI educators members make to ensure that our educators and the public at large have access to high-quality data and that we use data for wise decision-making to improve teaching and learning.

Goals:

  • Highlight the increasingly complex and difficult work of collecting, maintaining, and using education data
  • Promote the idea that data quality is more important than ever as education embraces data
  • Acknowledge the importance of data responsibilities at all staff levels within the education profession

Criteria

Candidates should demonstrate excellence or leadership in creating a culture of data quality leading to the use of better data for improving student outcomes.

Process

Award

  • Engraved desk clock
  • Framed document/certificate

Moving forward

  • Data Quality Award will be presented three times each school year
  • Nomination windows will be announced throughout the school year