Evaluation

Evaluating Geological Data

As part of data evaluation, ensure to assess the quality of data by looking for anomalies, inaccuracies or inconsistencies.
Carry out sanity checks for plausible values, particularly useful when dealing with quantitative data such as measurements.
Ensure the correct units have been used consistently for each variable. Remember to convert units where necessary.
Cross-check the recorded values or observations for similar samples or locations to ensure data consistency.

Use the collected data to draw meaningful interpretations, in relation to the aim and objectives of the investigation.
Be careful to note the benchmark references used, such as the stratigraphic column or palaeogeographic maps, in any interpretation of your geological data.
As part of data validation, look for patterns, relationships, or trends in the data that support your interpretations.
Connect your results to previous similar field studies or empirical evidence to lend credibility to your interpretations.

Be critical of the fieldwork techniques implemented. Consider their efficiency, effectiveness, and relevance to your investigation.
Assess the reliability of your field methods by analysing whether they would yield similar results if repeated under the same conditions, this is known as the reproducibility of your techniques.
Reflect on alternative methods that might have been more suitable or could be considered for future work.

Identify any limitations in the data collected or the fieldwork techniques used. Consider how these limitations may have influenced your results and findings.
Discuss any unusual occurrences during fieldwork and how they might have affected the data or interpretations.
Reflect on the spatial and temporal constraints of fieldwork and their impact on the results.

Formulate a precise and clear overall conclusion that encapsulates the findings of your investigation.
The conclusion should directly address the aim and objectives of the fieldwork and should be supported by the data collected.
Any claims made in the conclusion should be evidence-based and clearly aligned with the data and its interpretations. Any assumptions should be articulated and justified.