Even data dies. The philosophy of science has studied concepts related to knowledge decay for centuries, yet the information age of big data continues to spur new challenges. We evaluate issues of data reliability, validity, and evenness. This provides consumers with optimal avenues for analyzing the best data available.
Many scientists have referred to the analogy that data, or even knowledge, contains a "half life." We take this notion to the next step and offer a unique way to evaluate existing datasets and identify their lifespans of reliable use.