We are currently developing an advanced interactive visualization tool to identify relevant literature for systematic literature reviews. Our aim is to increase the efficiency, reproducibility, and reliability of the literature review process, through the use of natural language processing to analyze the metadata and, ultimately, the full text.
With this 15-minutes anonymous survey, we aim to:
- collect strengths and weaknesses of the literature review process and the existing available solutions to support it,
- identify areas where new visualizations and artificial intelligence features could improve the efficiency of the process and the quality of the outputs.
LASCAR (LArge SCAle Literature Review) project,
hosted by Luxembourg Institute of Science and Technology,
funded by a public grant from FNR JUMP program.
There are 39 questions in this survey.
