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Tiangong Standardized Data Collection Process (Public Literature)

TianGong standardized data collection process marks a significant advancement in the field of LCA, providing a robust, collaborative, and real-time framework for data collection. This process is meticulously designed to facilitate multi-party participation, ensuring high-quality data collection for life cycle assessments (LCA) while maintaining transparency and accuracy.

Core Principles

Data Quality Assurance

At the heart of the Tiangong process is the commitment to traceability and transparency. Each step in modifying original data is recorded in detail, covering the methodologies and rationales used. This approach underlines the reliability and integrity of our data, aligning with global LCA standards.

Unit Process Selection

We pay special attention to extracting detailed data from individual unit processes in operational activities. This granularity ensures a comprehensive representation of the actual environmental impacts within each process.

Continuous Optimization

Recognizing the dynamic nature of LCA methodologies, we continuously refine our data collection methods. We value community involvement and feedback, incorporating these insights to enhance our processes continually.

Standardized Data Collection Workflow

Step1. Constructing Process Flow Diagrams

Our initial step involves developing detailed process flow diagrams based on extensive industry reviews, particularly within China. This foundation aids in identifying critical data sources, analyzing existing data, and identifying gaps.

Step2. Data Source Investigation and Compilation

  • Literature and Public Reports: We build a preliminary database from keyword-driven literature searches, meticulously screening for data relevance and quality.

  • Enterprise Operational Process Data: By collaborating with enterprises, we balance the need for detailed, professional data with corporate confidentiality, determining appropriate levels and methods of data disclosure.

Step3. Data Entry and  Verification

Data from various sources is carefully analyzed, entered, and audited. This ensures that our data adheres to content and format standards for LCA usage, maintaining accuracy and reliability.

Further Reading: Tiangong Database Construction Guidelines

Step4. Handling Special Cases

We adopt targeted approaches for unique challenges such as missing data sets or differences in domestic versus international unit processes. Strategies include seeking additional process information and conducting comparative analyses to understand these variances.

Step5. Formation of Data Set

The verified data is then transformed into data packages compliant with the International Reference Life Cycle Data System (ILCD), enabling its direct use in environmental impact assessments and facilitating interoperability with international datasets.

The Tiangong Standardized Data Collection Process exemplifies our dedication to enhancing environmental sustainability through accurate and transparent life cycle assessments. We invite various stakeholders to engage with this framework, contribute to its evolution, and utilize our data for informed environmental decisions.


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