I am a scientist who is looking to analyze research data from one of the APIs below. The only problem is that I'm not a programmer, so I have no way to access the APIs. Now that there are a ton of AI platforms out there, I thought I may be able to use on to access one of these APIs. My rationale is that since I don't know how to code, I could give the AI basic verbal/written instructions like you would with chatGPT, and it would query/export data from one of the APIs. Is that even possible, and if so, is there a specific AI platform out there that could work?
Google Scholar: Google Scholar API - SerpApi
ORCID:: Public API
Crossref: REST API - Crossref
CORE: CORE - Aggregating the world's open access research papers
Dimensions: https://www.dimensions.ai/
Scitrus:
I do not know any ChatGPT-like AI-based tool which can show results based on human text or spoken words. However, to utilise research databases, one does not need to be an experienced programmer.
Most of research databases (e.g., Scopus) have documentations, explaining what the syntax of search string should look like. After reading these documentations and with several trial-and-errors, almost every researcher can get a list of their desired outcomes in variety of data formats (Excel, CSV, etc.)
Hello Ronald,
API integration would definitely require coding. However you can explore low code and no code platforms to make a workflow. Try using Alteryx or KNIME. Beware you will have to do some time in getting proficient in using this platforms.
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