Data standard overview
Dataphin helps you create and manage data standards to standardize data production and management. This reduces the cost of data application and processing.
Quick start in 5 minutes
Background information
The goal of data standards is to support business, technology, and management. Data standard management is the process of defining and applying standardized definitions for data and its properties. The definition of a data standard must meet the company's business application and management needs. The definition process should reference internal and external regulatory standards, such as international, national, regulatory, industry, and internal company standards.
Business: Standardizing entity data resolves issues such as data inconsistency, incompleteness, and inaccuracy. It removes ambiguity and provides a global data definition within the enterprise. This reduces communication costs between departments and systems and improves business processing efficiency. A unified system of data metrics allows business users to easily access data and perform self-service data analytics. This enables data-driven business innovation.
Technology: Unified and standard data and data structures are the foundation for information sharing in an enterprise. Standard data models and data support new systems and improve the efficiency of application system development and implementation. Data standardization defines clear Data Quality rules, data sources and destinations, and validation rules to improve Data Quality.
Management: Standardizing data definitions clarifies data ownership, which ensures data security and Data Quality. A unified system of data metrics supports data analytics on various subjects. It improves the efficiency of data processing and analysis. It provides proactive prompts, in-process alerts, and post-event reminders for business metrics. This enables data-driven management and allows decision-makers to quickly obtain information for decision-making.
Prerequisites
You must have purchased the Data Standard value-added service. For more information, see Activate Dataphin.
Scenarios
An IT team at a company creates a data standard for employee gender: `male` for men, `female` for women, and `unknown` for unknown.
First, a data standard administrator creates a gender lookup table and syncs it with developers. The administrator then creates the employee gender standard, references the gender lookup table for the value range, and adds a monitoring rule for field value range validation. Finally, the administrator creates a mapping rule.
When creating an integration node, a developer queries the gender lookup table. The developer uses the Field Calculation widget to transform non-standard field values from the source table, such as 0, 1, man, and woman, into `male`, `female`, and `unknown`. Then, on the quality rules page for the target table, the developer references the monitoring rule created for the employee gender standard and configures a schedule. After the node runs, a quality alert indicates that the field value transformation from the source table failed because of non-standard records. The developer then manually corrects the target table.
Core concepts
Term | Description | References |
Data standards set | A data standard set is a collection of standards that have similar or identical specifications and related business meanings. It defines information such as management and view permissions, and approval templates for the publishing flow for the data standards within the set. This allows for more precise control over data standards. Each data standard must belong to a single data standard set and follows the multi-level classification of the folder where the set is located. | |
Standard template |
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Data standard | A data standard provides services and support for business, technology, and management. Data standard management is the process of defining and applying standardized definitions for data and its properties. | |
Mapping rule | By defining the matching relationship between standard properties and metadata fields of an Asset object, you can map and associate standards with Asset objects. This is a prerequisite for assessing the standard compliance of an Asset object. | |
Assessment details | Based on the mapping rule and monitoring configurations, the mapping relationship between data standards and Asset objects and the corresponding assessment results are displayed from both the standard and Asset object perspectives. These details can be used as a basis for assessing the asset standard adoption rate and for promoting rectification of development specifications. |
User roles and permissions
You can query only the standards that you have permission to view. The standards you can view include published standards in public data standard sets that you have not joined, all standards in data standard sets that you have joined, and all standards in data standard sets that are designated as visible to you.
User member type | Role type | Description |
Super administrator | System role | A super administrator can designate data standard administrators. In the Data Standard module, a super administrator has the same permissions as a data standard administrator and is responsible for the following:
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Data standard administrator | System role | A data standard administrator has permissions to view, operate, and manage all data standards and is responsible for the following:
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Data standard set maintainer | Functional role | A data standard set maintainer is responsible for the routine maintenance of data standard sets, including the following:
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Data standard set member | Functional role |
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Standard owner | Data role | A standard owner is one of the four user member types: super administrator, data standard administrator, data standard set maintainer, or data standard set member. In addition to the permissions of their corresponding role, they can perform the following operations:
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Selection Rule Owner | Data role |
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Lookup table owner | Data role |
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Other system roles and regular members | System role |
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Data standard process guide
The data standard process guide helps you understand the configuration workflow for data standards. The general process is as follows:
Create a standard template -> Create a data standard set -> Create a data standard -> Request to publish the standard -> The standard is approved -> Create a mapping rule -> View mapping results.

On the Standard page, click Process Guide to open the Help Guide dialog box. If the data standard set or data standard lists are empty, click View Guide to open the dialog box.
In the Help Guide dialog box, you can create data standard sets, data standards, lookup tables, and roots. You can also view the data standard process guide and a mapping rule configuration example.

Data standard entry point
On the Dataphin home page, select Administration > Data Standard from the top menu bar.
On the Data Standard page, the navigation pane on the left shows the entry points for each functional module.

Primary menu
Secondary menu
Description
Data Standard
Data Standard
A list of data standards. You can view all standards in the data standard sets that you have joined.
Data Standard Set
A list of data standard sets.
Implementation Assessment
Mapping Rule
A list of mapping rules configured based on data standard set properties and Asset object metadata properties. This includes the configuration of the scope where the mapping rules take effect.
Mapping
A list of mappings between Asset objects and data standards. This includes confirmed mappings and mappings designated as invalid. You can view the mappings in two modes: summarized by asset granularity or tiled to show all mappings. You can configure Data Quality monitoring rules for confirmed mappings.
Assessment Details
Displays the assessment details for all standards and Asset objects involved in mapping and assessment. You can view the details from two perspectives: the standard perspective and the Asset object perspective.
Execution Records
Displays the execution details and operational logs for mapping rules.
Reference Data
Lookup Table
A list of lookup tables. You can view the details of each lookup table.
Root
A list of roots. You can view the details of each root.
Standard Document
A list of standard documents. You can view the details of each document.
General Configurations
Public Standard Property
A list of public standard properties, including custom and system properties.
Standard Template
A list of standard templates. You can view the property details of each template and the data standards created using it.
Detection Feature
A list of detection features, including custom and built-in system features.