Get the free High Level Data Dictionary 2012 - Clinical Trials Transformation ... - ctti-clinical...

Data Dictionary (V4.0) Comments on ELM Definitions: ELM definitions are N/A on fields where the ELM has not provided a definition within their documentation. The corresponding CTI Notes column is

How to fill out high level data dictionary

How to fill out a high level data dictionary:

1. Identify the purpose: Determine the specific purpose of the high level data dictionary. Understand what information needs to be captured and organized.
2. Define data elements: List and define the key data elements that will be included in the high level data dictionary. These elements should be essential for understanding and managing the data within an organization.
3. Determine data relationships: Identify the relationships between different data elements. This includes understanding how the data elements interact and depend on each other.
4. Assign data attributes: Assign relevant attributes to each data element. This can include data type, length, format, and any other necessary characteristics that describe the data.
5. Document data sources: Document the sources of the data elements. This helps in understanding where the data is coming from and ensures data integrity.
6. Establish data governance: Implement a data governance framework to ensure the accuracy, quality, and security of the data dictionary. This includes defining roles and responsibilities for maintaining and updating the dictionary.
7. Document data lineage: Capture the lineage of the data elements, including their origin, transformations, and any changes made over time. This helps in understanding the data's history and reliability.

Who needs a high level data dictionary?

1. Data architects and analysts: Data professionals who are responsible for designing and managing data systems can benefit from a high level data dictionary. It provides them with a comprehensive overview of the data elements and relationships within an organization.
2. Business stakeholders: Business leaders and decision-makers can benefit from a high level data dictionary as it helps them understand the data that drives their organization. This can aid in making informed decisions and developing data-driven strategies.
3. Developers and programmers: Developers and programmers can utilize a high level data dictionary as a reference guide when designing and implementing data systems. It helps them understand the required data elements and their attributes.

In summary, filling out a high level data dictionary involves identifying the purpose, defining data elements, determining data relationships, assigning data attributes, documenting data sources, establishing data governance, and documenting data lineage. The high level data dictionary is beneficial for data professionals, business stakeholders, and developers.

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What is high level data dictionary?

High level data dictionary is a document that provides an overview of the data elements and their relationships in a database or information system.

Who is required to file high level data dictionary?

Organizations or individuals who are responsible for managing data and information systems are required to file high level data dictionary.

How to fill out high level data dictionary?

To fill out high level data dictionary, one must document all data elements, their definitions, relationships, and any other relevant information in a structured format.

What is the purpose of high level data dictionary?

The purpose of high level data dictionary is to provide a clear and organized reference guide for understanding the data used in a database or information system.

What information must be reported on high level data dictionary?

High level data dictionary must include data elements, definitions, relationships, and any other relevant information about the data in a database or information system.

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