This question is for folks who have done some kind of computing research.
Did you ever get formal training in how to do a literature review? What about informal training?
Some options, in case that lowers the barrier to entering the conversation:
This question is for folks who have done some kind of computing research.
Did you ever get formal training in how to do a literature review? What about informal training?
Some options, in case that lowers the barrier to entering the conversation:
@cxli For context: the #acmdl frictions make systematic reviews painful. It feels borderline unusable as a research tool and is incomplete.
#googlescholar is more complete, but the accuracy of the metadata drops off. I've found that historic searches (e.g., <1950) are mostly incorrectly dated.
I was curious whether this is corroborated by research and came across: https://pmc.ncbi.nlm.nih.gov/articles/PMC7079055/
...
@cxli FWIW the tl;dr version of this article is in the Discussion section:
> Overall, we found that only 14 of the 28 academic search systems examined are well‐suited to evidence synthesis in the form of systematic reviews...[and...can be used as principal search systems: ACM Digital Library, BASE, ClinicalTrials.gov, Cochrane Library, EbscoHost ..., OVID ..., ProQuest ..., PubMed, ScienceDirect, Scopus, TRID, Virtual Health Library, Web of Science ..., and Wiley Online Library.