Going Beyond Good Environmental Data

Environmental data accuracy goes beyond ‘just’ having good data – it’s the key to uncovering meaningful insights, which can go a long way in preventing project delays and meeting regulatory requirements.

Some common causes of data inaccuracy include:

Human error – Typing errors, faulty entries, and misformatted data are just some possible examples of human error. While minor (and easy to miss!), a single data entry error can significantly affect statistical results and conclusions. Unchecked errors lead to unreliable results, and manually checking datasets for minor errors takes time, leading to project delays. If left undetected, human errors can impact research conclusions – which calls for report reworks, leading to missed deadlines and budget issues.

Inconsistent data formats – When data is sourced from multiple spreadsheets, files and databases, there can be discrepancies when compiling the data for interpretation and reporting – especially when working across multiple projects. If not addressed, these inconsistencies build up over time, resulting in unusable data that can’t be relied upon for reporting.

How to avoid inaccuracy and uncover meaningful insights
To stay on top of project deadlines and compliance requirements, it’s important to use the right data management tools. Here’s how ESdat enhances your data, helping you uncover meaningful insights for your project:

All-in-one integration – ESdat supports data exchange with a global network of environmental laboratories, bringing all your environmental data together in one convenient location. This minimises the risk of inconsistency and integration issues. You can integrate non-lab data via the Data Migration Manager, manage field programs and capture data with our Field Data Management add-ins.

Automated Laboratory QA reporting – ESdat’s LabSync feature automatically compares your data against QA/QC parameters – eliminating the need for manual data validation and preventing project delays.

Collaborative error reporting – Any errors detected by ESdat are reported to you and your lab. Furthermore, ESdat allows you to see which user(s) have been working on your data, allowing you to collaboratively track and approve lab reports within the system.

Validation – Data loaded into ESdat is also validated on import, based on a uniform data schema – if any errors are detected, our error messages will guide you through the import process!

With our data validation and standardisation tools, we at ESdat streamline your data management process – helping you easily and repeatably create data outputs.

Upgrade your data with ESdat today – get in touch with our team or visit our webpage to learn more!