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Data validation
What data validation means
Data validation is a crucial process within the data lifecycle that involves checking and verifying the accuracy, quality, and integrity of data before processing or analysis.
The main objective of data validation is to ensure that the data is accurate, complete, and compliant with the necessary standards, requirements, or constraints.
This process helps in identifying errors, inconsistencies, or any other anomalies within the data, and involves a series of checks such as:
- format validation
- range checks
- consistency checks
- uniqueness validation
- referential integrity checks
These checks help in confirming that the data is correct, usable, and trustworthy, which is vital for making informed decisions based on the data.
Data validation is often a continual process that can occur at various stages of data handling, such as during data entry, data migration, data processing, and pre-analysis, thereby ensuring that the data maintains its quality and reliability throughout its lifecycle.
Why data validation matters in SSA and SDA operations
In SSA and SDA operations, data validation underpins trust in the space picture used to protect spacecraft and coordinate traffic.
Validating sensor measurements and external data feeds helps catch timing errors, inconsistent formats, duplicate objects, and outliers that can degrade orbit determination, conjunction screening, and event detection.
By reducing uncertainty and preventing flawed inputs from propagating into analytics, operators can issue more reliable alerts, prioritize tasks effectively, and support safer, faster maneuver decisions at constellation scale.
How Look Up uses SYNAPSE and SORASYS to improve reliability
Look Up uses SYNAPSE to fuse multi-source SSA data while applying validation and consistency controls that improve the reliability of cataloguing, alerts, and risk assessments delivered via API or interface, including on-premises deployments for secure operations.
SORASYS radars add high-reactivity measurements in LEO that can be cross-checked against other sources to detect discrepancies and refine object tracking.
Together, SYNAPSE and SORASYS help operators detect, track, characterize, and predict conjunction risk with reduced uncertainty and actionable collision avoidance support.
We deliver space situational awareness (SSA) and space domain awareness (SDA) solutions that help secure active satellites and ensure safe operations in the ever-growing expanse of space.