Hi Reid,

This is a fabulous idea. In fact, it is in this line that we put out all our 
results so far on the WP:ACST page, though we never thought of something so 
ambitious. Here are my responses to your five steps:

1. Create a public Mediawiki instance: I take it that your group is handling 
this? I have a server I could contribute, but we probably wouldn't be able to 
handle the server admin.
2. Decide on a relatively standardized format of reviewing each paper (metadata 
formats, an infobox, how to write reviews of each, etc.): In our initial thread 
deciding this project, we listed a bunch of research questions; this could be 
used as a draft of some key aspects of papers that researchers would like to 
know.
3. Upload your existing Zotero database into this new wiki (I would be happy to 
write a script to do this): We'll be glad to share our Zotero database as you 
suggested. We could export it as Zotero RDF XML (which would save almost all 
the data, though we have a huge bank of PDFs as well), or as any format into 
which Zotero exports.
4. Proceed with paper readings, with the goal that every single paper is looked 
at by human eyes: Comments on this below. However, we hope that the results of 
our literature review could give a major boost to this project.
5. Use this content to produce one or more review articles: Comments on this 
below

The stickiest part of this project, though, has to do with authorship issues. 
In fact, so sticky and so important that I'll continue it on another thread. 
However, I am very interested in such a collaboration. And I fully agree with 
you that it is sufficiently important to all of us that it needs to go forward 
in some form, even if all authorship issues are not yet resolved.

And yes, I'm subscribed to the list, as are Arto, Mohamad and Mostafa. I've 
been a silent lurker for a couple years now :-). So, no need to CC me 
separately.

Thanks,
Chitu

-------- Message original --------
Sujet: Proposal: build a wiki literature review wiki-style (was: Re: Wikipedia 
literature review - include or exclude conference articles)
De : Reid Priedhorsky <[email protected]>
Pour : Research into Wikimedia content and communities 
<[email protected]>
Copie à : Chitu Okoli <[email protected]>
Date : March-16-11 12:20:47 PM
Chitu and others,

I too see great need for a comprehensive survey paper in this field. My own 
personal interest is in one that covers wiki research in general, not just 
research of Wikipedia; this of course makes the intractable number of papers 
even more intractable.

In fact, I am involved with a team of researchers with the same goal as you, 
though we are just getting started.

It seems to me that you are in a very difficult position. As others have noted, 
the scoping filter you propose is not a good one, but the number of papers is 
simply intractable without a very aggressive filter that excludes 2/3 or more 
of the known papers. (To further complicate the issue, I am skeptical of 
machine filtering period, fearing that any useful filter would necessarily be 
complex and difficult to justify in a writeup.)

However, I believe that there is a solution, and that is to dramatically 
increase the team size by doing the analysis wiki style. Rather than a small 
team creating the review, do it in public with an open set of contributors. 
Specifically, I propose:

1. Create a public Mediawiki instance.
2. Decide on a relatively standardized format of reviewing each paper (metadata 
formats, an infobox, how to write reviews of each, etc.)
3. Upload your existing Zotero database into this new wiki (I would be happy to 
write a script to do this).
4. Proceed with paper readings, with the goal that every single paper is looked 
at by human eyes.
5. Use this content to produce one or more review articles.

The goals of the effort would be threefold.

* Create an annotated bibliography of wiki research that is easy to keep up to 
date.
* Identify the N most important papers for more focused study and synthesis 
(perhaps leading towards more than one survey article).
* Provide metadata on the complete set of papers so that it can be described 
statistically.

Simply put, I believe that we as modern researchers need to be able to build 
survey articles which analyze 2,000-5,000 or more papers, and maybe this is a 
way to do that.

I and the other members of my team have already planned significant time 
towards this effort and would be very excited to join forces to lead such a 
mass collaboration.

Why use Mediawiki rather than Zotero or some other bibliography manager? First, 
it would be easy for anyone to participate because there is no software to 
install, no database to import, etc. Second, I personally have found Zotero, 
CiteULike, and every other bibliography manager I've tried to be clunky and 
tedious to use and not flexible enough for my needs (for example, three-state 
tags that let us say a paper has, does not have, or we do not know if it has, a 
certain property could be useful). We can always export the data into whatever 
bibliography software is preferred by particular authors.

Authorship is of course an issue, and one that should be worked out before 
people start contributing IMO, but not an intractable one, and there is 
precedent for scientific papers to have hundreds of authors (and it would 
certainly be in the wiki spirit). I myself would love to have a prominent place 
in the author list, but having the survey article written at all is a much 
higher priority.

Finally, one of my dreams has been to create a more or less complete database 
of *all* scientific publications, with reviews, a citation graph, private 
notes, and a robust data model (e.g., one that can tell two John Smiths apart 
and know when J. Smith is the same as John Smith). Maybe this is the first step 
along that path. (I did work a bit on data models for citation databases a bit 
about five years go and still use the software I created - Yabman, 
http://yabman.sf.net/.)

Thoughts?

Reid

p.s. Chitu, do you subscribe to this list? If so, we'll stop CC'ing you; if 
not, I encourage you to do so - it's pretty low traffic and certainly relevant 
to your work.

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