Data standardization is crucial for several reasons:
Reproducibility: Ensures that experiments can be reliably replicated by different researchers. Data Integration: Facilitates the combination of datasets from different sources for comprehensive analysis. Collaboration: Enhances collaborative efforts by making data understandable and usable by all parties involved. Efficiency: Reduces the time and effort required to interpret and use data from different studies.
