> For the complete documentation index, see [llms.txt](https://brightwind.gitbook.io/brighthub-user-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://brightwind.gitbook.io/brighthub-user-docs/data-monitoring-guide.md).

# Data Monitoring Guide

Data monitoring involves overseeing and managing data from ongoing measurement campaigns. It helps improve data quality and allows for early detection of issues, ultimately leading to better outcomes from the campaign.

BrightHub offers **five key features** to facilitate an effective data monitoring service: 

<details>

<summary><i class="fa-download">:download:</i> Automated Data Retrieval</summary>

This can be configured via a variety of methods including Microsoft Exchange email, BOX, Google Cloud, FTP and SFTP.

</details>

<details>

<summary><i class="fa-file-chart-column">:file-chart-column:</i> Daily Data Reports</summary>

Daily data reports can be configured to be emailed automatically to user(s) responsible for monitoring a measurement stations. This facilitates easy monitoring of data retrieved from the measurement station, to check that data has been retrieved when expected and that data is behaving as expected.

If issues with data communication from the measurement station or with any measurements analysts responsible for monitoring the station can then notify relevant parties on a timely basis.

</details>

<details>

<summary><i class="fa-calendar-days">:calendar-days:</i> Monthly Reports</summary>

Monthly reports can be created each month to summarise data for a selected reporting month. The report includes timeseries plots of measurements, data statistics and data coverage for the reporting month and overall and includes a summary of the issue log.&#x20;

</details>

<details>

<summary><i class="fa-square-exclamation">:square-exclamation:</i> Issue Log</summary>

The issue log can be used to record issues and track updates to issues and their status. This may include communications issues and sensor failures or issues that may affect data analysis.

</details>

<details>

<summary><i class="fa-broom-wide">:broom-wide:</i> Cleaning Tool</summary>

The cleaning tool can be used to inspect data and create cleaning logs for data to be removed in cleaning. This cleaning log is applied to the data by BrightHub when generating monthly reports, and can optionally be applied when downloading the assembled timeseries data from the measurement station.

</details>

### Explore the guide

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><a data-mention href="/pages/RoIstjQpEL7OCMVoMt9m">/pages/RoIstjQpEL7OCMVoMt9m</a></td><td>How to configure automated data retrieval</td><td></td></tr><tr><td><a data-mention href="/pages/F4D4BhKimXitCyZ7OIyR">/pages/F4D4BhKimXitCyZ7OIyR</a></td><td>Configuring an automated daily data report</td><td></td></tr><tr><td><a data-mention href="/pages/ytig6lbpZvg12rEO9QPl">/pages/ytig6lbpZvg12rEO9QPl</a></td><td>How to set up cleaning plots and clean data</td><td></td></tr><tr><td><a data-mention href="/pages/5xUFv7tm3tpcrhMZctx5">/pages/5xUFv7tm3tpcrhMZctx5</a></td><td>How to configure and create monthly data reports</td><td></td></tr></tbody></table>


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