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These guidelines provide recommendations for establishing measures for the protection, access, and use of Stephen F. Austin State University data that is electronically maintained in Banner. It defines
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How to fill out Data Standards Document_v1.2

01
Start by opening the Data Standards Document_v1.2 template.
02
Review the introduction section to understand the purpose of the document.
03
Complete the metadata section with relevant information about the data set.
04
Define data types for each field in the data standard and provide examples.
05
Specify data validation rules to ensure data integrity.
06
Fill out the data organization's contact information for inquiries.
07
Include any relevant data management policies or guidelines.
08
Review the document for accuracy and completeness before submission.

Who needs Data Standards Document_v1.2?

01
Data analysts who work with the dataset.
02
Project managers overseeing data-related projects.
03
Data governance teams ensuring compliance with standards.
04
Developers building applications that utilize the data.
05
Stakeholders needing a clear understanding of data usage and quality.
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People Also Ask about

Data standards are the key to breaking down data silos and creating interoperability, or the ability to exchange data between disparate systems and teams. Standards are also necessary to create data integrity, ensuring data maintains its value and meaning and is usable, consistent, and accurate.
Data standards are the rules by which data are described or documented. In order to share, exchange, and understand data, we must standardize the format of the data as well as document the metadata (specific information about the research data) both the descriptive meta data and the structural metadata.
Dataset-level standards specify the scientific domain, structure, relationships, field labels, and parameter-level standards for the dataset as a whole. A dataset-level standard is normally documented with a data dictionary (link to data dictionary page).
A standard is a document that provides requirements, specifications, guidelines or characteristics that can be used consistently to ensure that materials, products, processes and services are fit for their purpose. - International Standards Organization, ISO.
The Study Data Tabulation Model (SDTM) is one of the most important CDISC data standards. It's a framework used for organizing data collected in human clinical trials.
Data standards can specify, for example: Length of a field (e.g., how many characters a name can be) Format (e.g., numeric or strings of letters) Permissible values (e.g., male, female, other)
Data standards can specify, for example: Length of a field (e.g., how many characters a name can be) Format (e.g., numeric or strings of letters) Permissible values (e.g., male, female, other) Order of entry (e.g., year, then month, then date)
On the web, formats are associated with standardized media type identifiers, like application/json . Common data formats include JSON, CSV, and XML. API - An application programming interface (API) is a predefined protocol for reading and/or writing data using a filesystem, a database, or across a network.

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Data Standards Document_v1.2 is a formal document that outlines the standards and protocols for data management and reporting within an organization or regulatory framework.
Organizations or entities that are involved in data reporting and management as per regulatory or operational requirements are typically required to file Data Standards Document_v1.2.
To fill out the Data Standards Document_v1.2, follow the provided guidelines in the document, ensuring all relevant data fields are completed accurately and in accordance with the specified standards.
The purpose of Data Standards Document_v1.2 is to ensure consistency, accuracy, and compliance in data reporting and management processes across various stakeholders.
Information that must be reported typically includes data definitions, data types, reporting frequencies, and any metadata relevant to the data being managed or reported.
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