Re: Ideas for building a system that parses medical research publications/articles

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От Achilleas Mantzios
Тема Re: Ideas for building a system that parses medical research publications/articles
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Msg-id 081f0d17-177f-a0dc-d0df-d4d77cdc28a7@matrix.gatewaynet.com
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Ответ на Re: Ideas for building a system that parses medical research publications/articles  (Laura Smith <n5d9xq3ti233xiyif2vp@protonmail.ch>)
Ответы Re: Ideas for building a system that parses medical research publications/articles  (Laura Smith <n5d9xq3ti233xiyif2vp@protonmail.ch>)
Список pgsql-general
Στις 5/6/21 1:52 μ.μ., ο/η Laura Smith έγραψε:

> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
> On Saturday, 5 June 2021 10:49, Achilleas Mantzios <achill@matrix.gatewaynet.com> wrote:
>
>> Hello
>>
>> I am imagining a system that can parse papers from various sources
>> (web/files/etc) and in various formats (text, pdf, etc) and can store
>> metadata for this paper ,some kind of global ID if applicable, authors,
>> areas of research, whether the paper is "new", "highlighted",
>> "historical", type (e.g. Case reports, Clinical trials), symptoms (e.g.
>> tics, GI pain, psychological changes, anxiety, ), and other key
>> attributes (I guess dynamic), it must be full text searchable, etc.
>>
>> I am at the very beginning in this and it is done on a fully volunteer
>> basis.
>>
>> Lots of questions : is there any scientific/scholar analysis software
>> already available? If yes and is really good and open source , then this
>> will influence the rest of decisions. Otherwise , I'll have to form a
>> team that can write one, in this case I'll have to decide DB, language,
>> etc. I work 20 years with pgsql so it is the natural choice for any kind
>> of data, I just ask this for the sake of completeness.
>>
>> All ideas welcome.
> Hello Achilleas
>
> Not wishing to be discouraging, but you have very ambitious goals for what sounds like a one-person project ?
>
> You are effectively looking at competing with platforms such as Elsevier Scopus/Scival which are market-leaders in
thearea for good reason (i.e. it takes a lot of manpower to write algorithms, manage metadata etc., and the only way to
consistentlymaintain that manpower is to employ people, lots of them).   There are also things like Google Scholar
aroundthe place.
 
>
> I think before starting on the technical side of Postgres etc., the honest truth is that you need to do more
planning,both in terms of implementation and long-term sustainability.
 
>
> For example, before we even get to metadata, you talk of various sources and formats.  Have you considered licensing
issues?  Have you considered how to keep the dataset clean ? (If you are thinking you can just scrape the web, then
you'llbe in for a surprise).
 

All I got is some very vague descriptions coming from either ppl from 
the advocacy side or the medical side.

I got no idea on the legal status of those documents, as you know some 
are covered by the artistic license (a few in PubMed) some not,

I am not a lawyer. The data are not to be stored locally AFAIK, so only 
metadata will be kept locally and can be reset, refreshed, amended, etc

Parsing will be equivalent to a one-off human reading the article on the 
web. There is a lawyer handling all those. From the whole network of ppl 
interested in this whole endeavor,  I am the only guy with DB/software 
knowledge, hence why I volunteered.

I know its a huge work, but you are missing a point. Nobody wishes to 
compete with anyone. This is a about a project, a parent-advocacy 
non-profit that *ONLY* aims to save the sick children (or maybe also 
very young adults) of a certain spectrum . So the goal is to make the 
right tools for researchers, clinicians and parents. This market is too 
small to even consider making any money out of it, but the research is 
still very expensive and the progress slower than optimum.

> Laura



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