# Uploading Review Data

It is possible to upload literature search results exported from an external database:

* Use this option to perform literature screening using data from proprietary third party data sources
* All of MLM-AI's screening, auditing and AI-based automation features can be used on uploaded results

Currently, it is possible to upload results exported from these systems:

<table><thead><tr><th width="201.33333333333331">Source System</th><th>Expected Format from Source System</th></tr></thead><tbody><tr><td><strong>PubMed</strong></td><td>PubMed's <a href="https://pubmed.ncbi.nlm.nih.gov/help/#citation-management-software">nbib reference format</a>. </td></tr><tr><td><strong>PubMed</strong></td><td>PubMed email alerts in nbib reference format as <code>eml</code> email file</td></tr><tr><td><strong>Embase</strong></td><td>RIS citation management export, or <code>csv</code></td></tr><tr><td><strong>EBSCO</strong></td><td>RIS citation management export</td></tr><tr><td><strong>Adis</strong></td><td><code>csv</code> export</td></tr><tr><td><strong>ProQuest/Dialog</strong></td><td>Excel export</td></tr><tr><td><strong>EMA (Excel)</strong></td><td>Eudravigilance EMA MLM files for consolidation</td></tr></tbody></table>

{% hint style="info" %}
Depending on the source of exported results, uploads could be automated. Refer to [Integrations](/application/integrations.md) to find out how.
{% endhint %}

## Uploading Multiple Files

For convenience, uploading files can be done in bulk saving time in routine weekly uploads of search results.

* Select **Upload** as the review type
* You can drag files directly from your desktop anywhere into the area marked as "Drag and Drop files here"

<figure><img src="/files/S7xitS39RZzrOBSKBk3c" alt=""><figcaption></figcaption></figure>

* Once files are uploaded, configure them by mapping to the Monitor, file type and start-end date of search results

## Applying Default Values

Configuring uploads can be done one file at a time, or you can select multiple files and apply the same setting to all.

* Example: if the source data for your files is always the same you can select one default value and apply to all
* Select what files to apply defaults, then choose "Edit Selections"

<figure><img src="/files/COzo3tmi1cdBUqUemIOC" alt=""><figcaption></figcaption></figure>

* In the Dialog, select default values for File format, Dates and Monitor (leave empty the fields you do not need default values for)
* Click "Apply"
* Complete filling any remaining fields as needed

<figure><img src="/files/bKRudPVIZrGlQi9qYowG" alt=""><figcaption></figcaption></figure>

## Verification

Once entering parameters is complete, files can be Verified by clicking the "**Verify**" button. This will pre-process files to ensure the file format is correct and now rows are corrupted.

* If successful, file status will change from "**To Verify**" to a green indicator of the number of records to be processed
* Once verification is complete, the "**Upload**" button will become enabled and files can be uploaded

<figure><img src="/files/kvVnYBDAvCfmopnfy9O6" alt=""><figcaption></figcaption></figure>

## What Happens after the Upload

Uploaded files will generate new [Reviews](/application/reviews.md). They will be visible in the "Processing" tab in the [Review Summary](/application/reviews.md) page, and will become available (ie. move to the "In-Progress" tab) once processing finishes.

From this point, results can then be normally screened, like any other Review produced by MLM-AI.

### Unique Records During Upload

* Uploaded records are identified by their **unique ID from the source** when uploaded
* This ensures only a single record exists for the corresponding unique record from the source and facilitates duplicate detection
* Therefore, subsequent uploads of citations with an existing unique ID do not create new records in the MLM-AI database

During the verification step, users can verify if repeated IDs are present in their upload file and if they will be discarded. Example:

<div align="left"><figure><img src="/files/5wdj5DMnCf9gmkEegZ8w" alt=""><figcaption></figcaption></figure></div>

Clicking the badge shows further details of specific IDs detected as already existing.

{% hint style="info" %}
Article de-duplication is also available for uploaded data. Learn more in the [Duplicate Detection](/topics/duplicate-detection.md) page.
{% endhint %}

## Supporting Guides for Exporting from External Databases

* For PubMed, follow the steps for [exporting into a citation management format](https://pubmed.ncbi.nlm.nih.gov/help/#citation-management-software)
* For Embase, refer to [this guide](http://supportcontent.elsevier.com/Support%20Hub/Embase/Files%20&%20Attachements/5540-Embase%20E105%20-%20Saving%20Searches%20and%20Exporting%20Results%20-%20June%202015.pdf) for steps on how to search results


---

# 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://docs.biologit.com/application/upload-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.
