Tag Archives: figshare

The price of publishing with GitHub, Figshare, G+, etc

Three years ago I posted The price of publishing with arXiv. If you look at my arXiv articles then you’ll notice that I barely posted on arXiv.org since then. Instead I went into territory which is even less recognized as serious by a big part of academia. I used:

The effects of this choice are put in front of my homepage, so go there to read them. (Besides, it is a good exercise to remember how to click on links and use them, that lost art from the age when internet was free.)

In this post I want to explain what is the price I paid for these choices and what I think now about them.

First, it is a very stressful way of living. I am not joking, as you know stress comes from realizing that there are many choices and one has to choose. Random reward from the social media is addictive. The discovery that there is a way to get out from the situation which keeps us locked into the legacy publishing system (validation). The realization that the problem is not technical but social. A much more cynical view of the undercurrents of the social life of researchers.

The feeling that I can really change the world with my research. The worries that some possible changes might be very dangerous.

The debt I owe concerning the scarcity of my explanations. The effort to show only the aspects I think are relevant, putting aside those who are not. (Btw, if you look at my About page then you’ll read “This blog contains ideas from the future”. It is true because I already pruned the 99% of the paths leading nowhere interesting.)

The desire to go much deeper, the desire to explain once again what and why, to people who seem either lacking long term attention capability or having shallow pet theories.

Is like fishing for Moby Dick.

How to use the chemlambda collection of simulations

The chemlambda_casting folder (1GB) of simulations is now available on Figshare [1].

How to use the chemlambda collection of simulations? Here’s an example. The synthesis from a tape video [2] is reproduced here with a cheap animated gif. The movie records the simulation file 3_tape_long_5346.html which is available for download at [1].

That simple.

If you want to run it in your computer then all you have to do is to download 3_tape_long_5346.html from [1], download from the same place d3.min.js and jquery.min.js (which are there for your convenience). Put the js libs in the same folder as the html file. Open the html file with a browser, strongly recommend Safari or Chrome (not Firefox which blocks with these d3.js animations, for reasons related to d3). In case your computer has problems with the simulation (I used a macbook pro with safari) then slow it like this: edit the html file (with any editor) and look for the line starting with

return 3000 + (4*(step+(Math.random()*

and replace the “4” by “150”, it should be enough.

Here is a longer explanation. The best would be to read carefully the README [4].
“Advanced”: If you want to make another simulation for the same molecule then follow the steps.

1. The molecule used is 3_tape_long_5346.mol which is available at the library of chemlambda molecules [3].

2. So download the content of the gh-pages branch of the chemlambda repository at github [4] as explained in that link.

3. then follow the steps explained there and you’ll get a shiny new 3_tape_long_5346.html which of course may be different in details than the initial one (it depends on the script used, if you use the random rewrites scripts then of course the order of rewrites may be different).

[1] The Chemlambda collection of simulations
https://doi.org/10.6084/m9.figshare.4747390.v1

[2] Synthesis from a tape
https://plus.google.com/+MariusBuliga/posts/Kv5EUz4Mdyp

[3] The library of chemlambda molecules
https://github.com/chorasimilarity/chemlambda-gui/tree/gh-pages/dynamic/mol

[4] Chemlambda repository (readme) https://github.com/chorasimilarity/chemlambda-gui/blob/gh-pages/dynamic/README.md

Bitcoin, figshare, dropbox, open peer-review and hyperbolic discounting

Thinking out loud about the subject  of models of OA publication

  1. which are also open peer-review friendly,
  2. which work in the real world,
  3. which offer an advantage to the researchers using them,
  4. which have  small costs for the initiators.

PeerJ  is such an example, I want to understand why does it work and find a way to emulate it’s success, as quickly as possible.

You may wonder what difference is between 2 (works in real world) and  3(gives advantage to the user). If it gives an advantage to the user than it should work in real life, right? I don’t think so, because the behaviour of real people is far from being rational .

A hypothesis for achieving 2 is to exploit hyperbolic discounting.  I believe that one of the reasons PeerJ works is not only that it is cheaper than PLOS, but it also exploits this human behaviour.

It motivates the users to  review and to submit and it also finances the site (buys the cloud time, etc).

How much of the problem 4 can be solved by using the trickle of money which comes from exploiting hyperbolic discounting? Some experiments can be made.

What else? Let’s see, there is more which intrigues me:

  • the excellent figshare   of Mark Hahnel. It’s a  free repository,  which provides a DOI and collects some citation and use data.
  • there is a possibility to make blogs on dropbox. I have to understand well, but it seems that Scriptogr.am offers this service, which is an interesting thing in many ways. For example can one use a dropbox blog for sharing the articles, making it easy to collect reactions to them (as comments), in parallel with using figshare for getting a DOI for the article and for depositing versions of the article?
  • tools like git.macropus.org/twitter-viewer  for collecting twitter reactions to the articles (and possibly write other tools like this one)
  •  what is a review good for? a service which an open review could bring to the user is to connect the user with other people interested in the same thing. Thus, by collecting “social mentions” of the article, the author of the article might contact the interested people.
  • finally, and coming back to the money subject (and hyperbolic discounting), if you think, there is some resemblance in the references of an article and the block chains of bitcoin.  Could this be used?

I agree that these are very vague ideas, but it looks like there may be several sweet spots in this 4 dim space

  • (behavioral pricing , citing as  block chain)
  • (stable links like DOI , free repository)
  • (editor independent blog as open article)
  • (APIs for collecting social mentions as reviews)

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