Thanks Heather for your continued comments! Good stuff in there. Some
responses below:



> HM: Q1: to clarify, we are talking about peer-reviewed journal articles,
> right? You are planning to annotate journal articles that are written and
> vetted by experts using definitions that are developed by anyone who
> chooses to participate in Wikipedia / Wikidata, i.e. annotating works that
> are carefully vetted by experts using the contributions of non-experts?
>

Correct. An example may be useful here:

The article "More than 75 percent decline over 27 years in total flying
insect biomass in protected areas" was published in 2017 by PLOS ONE [1],
and appeared in hundreds of news stories and thousands of tweets [2]. It's
open access which is great. But if you try to read the article, you run
into sentences like this:

"Here, we used a standardized protocol to measure total insect biomass
using Malaise traps, deployed over 27 years in 63 nature protection areas
in Germany (96 unique location-year combinations) to infer on the status
and trend of local entomofauna."

Even as a somewhat well-educated person, I sure don't know what a Malaise
trap is, or what entomofauna is. The more I trip over words and concepts
like this, the less I want to read the article. I feel like it's just...not
for me.

But Wiktionary can tell me entomofauna means "insect fauna," [3] and
Wikipedia can show me a picture of a Malaise trap (it looks like a tent,
turns out) [4].

We're going to bring those kinds of descriptions and definitions right next
to the text, so it will feel a bit more like this article IS for me. This
isn't going to make the article magically easy to understand, but we think
it will help open a door that makes engaging with the literature a bit more
inviting. Our early tests with this are very promising.

That said, we're certainly going to be iterating on it a lot, and we're not
actually attached to any particular implementation details. The goal is to
help laypeople access the literature, and do it responsibly. If this turns
out to be impossible with this approach, then we'll move on to another one.

For us, the key to the Explanation Engine idea is to be modular and
flexible, using multiple layered techniques, in order to reduce risk and
increase speed.


[1] http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185809
[2] https://www.altmetric.com/details/27610705
[3] https://en.wiktionary.org/wiki/entomofauna
[4] https://en.wikipedia.org/wiki/Malaise_trap




> Q2: who made the decision that this is safe, and how was this decision
> made?
>

Hm, perhaps I should've been more careful in my original statement.
Apologies. There's certainly no formal Decision here...I'm just suggesting
that we think the risk of spreading misinformation is relatively low with
this approach.  That's why we'll start there. But the proof will need to be
in the pudding, of course. We'll need to implement this, test it, and so on.

Maybe I'm wrong and this is actually a horrible, dangerous idea.

If so, we'll find out, and take it from there. Thanks for letting us know
you are concerned it's not safe. We' take that seriously and so we'll make
sure we are evaluating this feature carefully. If you're interested in
helping with that, we'd love to have your input as well...drop me a line
off-list and we can talk about how to work together on it.


>
> If the author has not given permission, this is a violation of the
> author's moral rights under copyright. This includes all CC licensed works
> except CC-0.
>

I'm not sure I see how this would be true? We are not modifying the text or
failing to give credit to the original author, but rather creating a
commentary on it...quite like one might do if discussing the paper in a
journal club.

I am not opposed to your project, just the assumption that a two-year
> project is sufficient to create a real-world system to translate all
> scholarly knowledge for the lay reader.
>

Makes sense. You may be right...could be a quixotic errand. We will do our
best, and hopefully whatever we come up with will be a step in the right
direction, at least. I think something like this could make the world a
better place, and maybe if we aren't able to achieve it we can at least
help give some ideas to the people who ultimately do.


 A cautious and iterative approach is wise; however this is not feasible in
> the context of a two-year grant. May I suggest a small pilot project? Try
> this with a few articles in an area where at least one member of your team
> has a doctorate. Take the time to evaluate the summaries. If they look okay
> to your team, plan a larger evaluation project involving other experts and
> the lay readers you are aiming to engage (because what an expert thinks a
> summary says may not be the same as how a non-expert would interpret the
> same summary).
>

I think this sounds great! Your plan is very much what we have in mind to
do. And then we will continue from there on the "cautious iterative
approach" to rolling out features. I think the only area where we differ is
in the timeline...sounds like you don't project that we can get everything
we need to done in a two-year time frame.

You may be right. Time will tell. Historically, Impactstory has been able
to get stuff done pretty fast, but once again, the proof will be in the
pudding 😃. We're certainly excited and motivated and will be doing our
best!



>
> Thank you for posting openly about the approach and for the opportunity to
> comment.
>

Thank you for your thoughtful comments!
j


>
> best,
>
>
>
> Heather Morrison
>
> Associate Professor, School of Information Studies, University of Ottawa
>
> Professeur Agrégé, École des Sciences de l'Information, Université d'Ottawa
>
> heather.morri...@uottawa.ca
>
> https://uniweb.uottawa.ca/?lang=en#/members/706
>
> _
>
>
> _______________________________________________
> GOAL mailing list
> GOAL@eprints.org
> http://mailman.ecs.soton.ac.uk/mailman/listinfo/goal
>
>


-- 
Jason Priem, co-founder
Impactstory <http://impactstory.org/>: We make tools to power the Open
Science revolution
follow at @jasonpriem <http://twitter.com/jasonpriem> and @impactstory
<http://twitter.com/impactstory>
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