The second step of LCA is to collect and validate data for the inputs and outputs of your system, such as materials, energy, emissions, and waste. Data collection can be a difficult task, particularly for complex or novel systems, and can affect the reliability and credibility of your LCA. To improve your data collection and validation, it is recommended to use primary data whenever possible, particularly for processes under your control or influence; this should be done in a systematic and standardized way. Additionally, secondary data from reputable sources such as databases, literature, or industry reports should be used for processes outside your control or influence. It is important to ensure that these data are compatible and representative of your system. Furthermore, data quality indicators such as age, geographical origin, completeness, consistency, and uncertainty should be applied to evaluate and compare the data sources before selecting the best available data for your system. Finally, document the data sources, methods, assumptions, and limitations; provide references and transparency for your data.