Inventory Database for Environmental Analysis (IDEA)
| Summary | ||
| Name of source | IDEA | |
| Provider | AIST/JEMAI | |
| Summary text | IDEA is the standard equipment inventory database for MiLCA LCA software. IDEA, which stands for "Inventory Database for Environmental Analysis" has been jointly developed since FY2008 by the National Institute of Advanced Industrial Science and Technology (AIST) and Japan Environmental Management Association for Industry (JEMAI). 3000 datasets are available in both gate to gate and cradle to gate type. | |
| Contact | Jemai-lca@jemai.or.jp | |
| Licensing | Free in MiLCA software | |
| Language(s) | English/Japanese | |
| Website | http://www.milca-milca.net/ download-files/MiLCAguidebook_En.pdf |
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| Access – data formats and accessibility | ||
| File type | IDEA format (based on ISO TS 14048) | |
| Software needs | MiLCA | |
| Contents – breadth and depth of datasets | ||
| Age | Released in 2010 | |
| Geography | Global | |
| Original Data Source(s) | Made from Japanese and global statistics, modeling of production process and industry associations | |
| Other Databases Included | ||
| Life cycle stages | All | |
| Modeling approach | Attributional approach | |
| Emissions results | GHGs and about 50 elementary flows | |
| Number of datasets | Approx. 3000 | |
| Main topics | Agriculture and fisheries, mining, construction and civil construction and other non-manufacturing, food and beverages, textiles, chemicals, ceramics and building materials, metals, machinery, and other manufacturing, electricity gas, water and sanitation, etc. | |
| Other topics | ||
| Data transparency – what metadata is provided for each dataset? | ||
| System boundaries | From cradle to grave | |
| Data Types | Gate to Gate and Cradle to Gate | |
| Allocation Methods | Mass based allocation is basically used | |
| Technology | Current | |
| Data year | 2000 to 2010 | |
| Original source | ||
| Uncertainty | Depends on dataset. Each dataset is evaluated by modified pedigree matrix. | |
| Quality – is information provided on data quality? | ||
| Data quality score | ||
| Quality assurance | Internal review | |
| Standards compliant | Based on ISO 14040/14044 | |