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 Interestingly, this study (conducted in 2019) reports that the #ACMDL allows bulk download. I don't know if this feature is just hard to find or if it's been removed since then.
(Maybe @JonathanAldrich would know?)
@JonathanAldrich @cxli Hm. I suspect a lot of the ACM members who don't want their work to be training data are also proponents of open access. I don't know if these options are as mutually exclusive as they appear.
I'm also not convinced that firms selling LLMs services would have a competitive advantage over what a usable ACMDL UI could provide, but maybe I'm alone here?