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Data Dictionary for METRICS 2017Q4a Dataset April 2018 IRIS Research Team0Award Transaction Data Fields Field Named Type Max Lengthened DefinitionUnique Award NumberChar100Unique identifier specifying
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01
To fill out a data dictionary for an institute, follow these steps:
02
Start by identifying the key components of the institute's data that need to be documented. This can include various types of data such as student information, courses, faculty details, financial records, etc.
03
Create a table or spreadsheet to capture the relevant information. The table should have columns for attributes like data name, description, data type, size, source, usage, etc.
04
Begin filling out the table by specifying the data name or identifier for each component. This could be something like 'Student_ID' or 'Course_Code'.
05
Provide a clear description for each data component. This should explain the purpose and meaning of the data.
06
Define the data type for each component. This could include options like text, number, date, boolean, etc.
07
Specify the size or length limitations, if applicable.
08
Identify the source of the data. This can be the system or application that generates or uses the data.
09
Describe the usage or importance of the data in the context of the institute's activities.
10
Continue to fill out the table for all the relevant data components identified earlier.
11
Review and validate the completed data dictionary for accuracy and completeness.

Who needs data dictionary - institute?

01
A data dictionary for an institute is useful for various stakeholders, including:
02
- Institute administrators and management who need to understand and manage the institute's data assets.
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- IT professionals involved in system development, maintenance, and integration processes.
04
- Faculty members and academic staff who use data for instructional purposes.
05
- Students who may need access to data for academic or administrative purposes.
06
- Researchers or analysts who require data for conducting studies or generating reports.
07
- External regulatory bodies or accrediting agencies that review the institute's data management practices.
08
- Software vendors or developers who need to understand the data requirements for building applications or tools for the institute.
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- Data governance or data management teams responsible for maintaining data quality, security, and compliance.
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Data dictionary - institute is a document or database that provides a detailed description of data elements used in an organization or institution.
Institutions or organizations that handle large amounts of data and information are required to file data dictionary - institute.
To fill out a data dictionary - institute, organizations must document all data elements, their definitions, relationships, and any other relevant information.
The purpose of a data dictionary - institute is to provide a standardized way of documenting and managing data elements within an organization.
Information such as data element names, definitions, data types, allowable values, relationships, and sources must be reported on a data dictionary - institute.
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