Build Aesthetic Tech Article Dataset
Budget: $8 – $15 USD
I am compiling a meticulously curated dataset of peer-reviewed articles that cover lasers and other energy-based devices applied for cosmetic indications. All discovery, clustering, and extraction work will be carried out directly inside my ResearchRabbit workspace
Watch this: https://learn.researchrabbit.ai/en/articles/12439939-how-to-get-started-with-researchrabbit
Scope and focus
• This is AI, based research
• Estimated workload: 15–20 focused hours, to be completed no later than 2 January.
• High-speed internet is essential because the platform is web-based and data-rich.
• Please follow the step-by-step brief I will share; precision and clean organisation matter more to me than speed.
Deliverables
1. A well-organised dataset (CSV or Excel) exported from ResearchRabbit, containing full citation, abstract, DOI, publication year, journal, and assigned cosmetic indication tags.
2. All articles saved in researchrabbit
2. A short methods note outlining the search strings, exclusion criteria, and any manual adjustments made so the process can be reproduced.
Acceptance criteria
• Dataset formatting aligns with the template I will provide
• All records link back to their ResearchRabbit collections for easy verification.
If you are comfortable navigating ResearchRabbit and enjoy AI-Based methodical academic discovery, this should be a straightforward yet rewarding project.
This isnt for writers, its for researchers
Watch this: https://learn.researchrabbit.ai/en/articles/12439939-how-to-get-started-with-researchrabbit
Scope and focus
• This is AI, based research
• Estimated workload: 15–20 focused hours, to be completed no later than 2 January.
• High-speed internet is essential because the platform is web-based and data-rich.
• Please follow the step-by-step brief I will share; precision and clean organisation matter more to me than speed.
Deliverables
1. A well-organised dataset (CSV or Excel) exported from ResearchRabbit, containing full citation, abstract, DOI, publication year, journal, and assigned cosmetic indication tags.
2. All articles saved in researchrabbit
2. A short methods note outlining the search strings, exclusion criteria, and any manual adjustments made so the process can be reproduced.
Acceptance criteria
• Dataset formatting aligns with the template I will provide
• All records link back to their ResearchRabbit collections for easy verification.
If you are comfortable navigating ResearchRabbit and enjoy AI-Based methodical academic discovery, this should be a straightforward yet rewarding project.
This isnt for writers, its for researchers