LitOrganizer: Automating the process of data extraction and organization for scientific literature reviews
Scientific literature reviews have become a time-consuming and complex process due to the increasing volume of data. Manual data extraction and organization significantly hinder the efficiency of this process. LitOrganizer, a Python-based software, assists researchers by scanning PDF files with spec...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025001657 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Scientific literature reviews have become a time-consuming and complex process due to the increasing volume of data. Manual data extraction and organization significantly hinder the efficiency of this process. LitOrganizer, a Python-based software, assists researchers by scanning PDF files with specified keywords and consolidating the extracted information into a Word document, including the source name and page number where the information appears. Additionally, it identifies the DOI numbers of files, renaming the documents with the correct citation information, and helps organize both the PDF documents and the specific data efficiently. |
|---|---|
| ISSN: | 2352-7110 |