# The quality of collected data

Generally, in research projects, the quality of gathered data plays an important and undeniable role. If the collected data does not follow some specific standards, especially in neuroscience studies, the project’s outcome will be determined as inaccurate and inconsistent. Therefore, researchers might spend a considerable amount of time and overhead cost to acquire data with higher quality for their projects.

### Solution for the quality of collected data

In the Zarela platform, researchers (Mages) will submit their request for data along with a document called Z- paper. Inside the Z-paper, Mage is introduced and goals and features of their studies are described in a simple and understandable language in order to make responders (Angels) better realize the projects in a nutshell. More importantly, the Z-paper contains descriptions of standards and guidelines that Angle needs to follow or fulfill to submit a high quality of data. Thus, researcher (Mage) ensures that responder (Angel) is aware of the Mage’s expectation of data quality. Moreover, Mages are enabled to examine the quality of received data from Angels prior to execution of BioBit exchange for the provided data.

In Zarela, Hubs are playing a vital role regarding how qualified the collected data are. Hubs are facilitators, validators and sometimes verifiers in the process of data collection. Mostly, they are institutions and centers of neuroscience. They are equipped with various advanced hardware and many neuroscience experts are working inside Hubs. All aspects of the Z-paper submitted by a Mage are clear to Hubs and they are aware of the details of expectation of Mages about the data quality.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://whitepaper.zarela.io/challenges-and-solutions/the-quality-of-collected-data.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.