Cross-disciplinary collaboration involves bringing together professionals from different fields to collaborate on data sourcing projects. This technique helps identify biases that may not be apparent within one domain. Professionals from varied backgrounds can provide unique insights into data collection and sourcing methods, helping ensure the resultant datasets are balanced and less prone to bias.
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