the infrastructure crisis of science

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The infrastructure crisis of science

Björn BrembsUniversität Regensburg

http://brembs.net

SCHOLARSHIP

Institutions produce publications, data and software

CRISIS I

Dysfunctional scholarly literature

Literature

• Limited access• No global search• No functional hyperlinks• No flexible data

visualization• No submission

standards• (Almost) no statistics• No text/data-mining• No effective way to sort,

filter and discover• No scientific impact

analysis• No networking feature• etc.

…it’s like the web in 1995!

CRISIS II

Scientific data in peril

CRISIS III

Non-existent software archives

Today‘s Digital Dystopia

• Institutional email• Institutional

webspace• Institutional blog• Library access card• Open access

repository

• No archiving of publications

• No archiving of software

• No archiving of data

WHAT NOW?

How to tear down the paywalls?

Potential Solutions

• Outside help– Funder OA mandates (enforcement!)– Removal of legislative (e.g. copyright) barriers– BUT: does not address software/data

• Institutional reform– Destroy journal rank– Provide superior alternative

Superior alternative

• Global search for/access to ALL literature, software and data

• Smart sort, filter and discover functionality• Science-based reputation system• Collaborative writing (GitHub for everything),

one-click submission• Much, much cheaper: US$90/paper (e.g.

SciELO) vs. US$4k/paper today

Requirement: global institutional collaboration à la SciELO, LPC, SHARE…

My Digital Utopia

• No more corporate publishers – libraries archive everything and make it publicly accessible according to a world-wide standard (e.g. SciELO, SHARE, LPC)

• Single semantic, decentralized database of literature, data and software

Technically feasible today (almost)

JournalRank

• Thomson Reuters: Impact Factor• Eigenfactor (now Thomson Reuters)• ScImago JournalRank (SJR)• Scopus: SNIP, SJR

Source Normalized Impact per Paper

Main Problems with the IF

• Negotiable

• Irreproducible

• Mathematically

unsound

Negotiable

• PLoS Medicine, IF 2-11 (8.4)(The PLoS Medicine Editors (2006) The Impact Factor Game. PLoS Med 3(6): e291. http://www.plosmedicine.org/article/info:doi/10.1371%2Fjournal.pmed.0030291)

• Current Biology IF from 7 to 11 in 2003– Bought by Cell Press (Elsevier) in 2001…

Not Reproducible

• Rockefeller University Press bought their data from Thomson Reuters

• Up to 19% deviation from published records• Second dataset still not correct

Rossner M, van Epps H, Hill E (2007): Show me the data. The Journal of Cell Biology, Vol. 179, No. 6, 1091-1092 http://jcb.rupress.org/cgi/content/full/179/6/1091

Not Mathematically Sound

• Left-skewed distributions• Weak correlation of individual article citation

rate with journal IF

Seglen PO (1997): Why the impact factor of journals should not be used for evaluating research. BMJ 1997;314(7079):497 (15 February)http://www.bmj.com/cgi/content/full/314/7079/497

Journal rank and unreliability

Munafò, M., Stothart, G., & Flint, J. (2009). Bias in genetic association studies and impact factor Molecular Psychiatry, 14 (2), 119-120 DOI: 10.1038/mp.2008.77

Journal rank and methodology

Brembs, B., Button, K., & Munafò, M. (2013). Deep impact: unintended consequences of journal rank. Frontiers in Human Neuroscience, 7. doi:10.3389/fnhum.2013.00291

Journal rank and quality

Brown, E. N., & Ramaswamy, S. (2007). Quality of protein crystal structures. Acta Crystallographica Section D Biological Crystallography, 63(9), 941–950. doi:10.1107/S0907444907033847

Journal rank and retractions

Data from: Fang, F., & Casadevall, A. (2011). RETRACTED SCIENCE AND THE RETRACTION INDEX Infection and Immunity DOI: 10.1128/IAI.05661-11

Journal rank and fraud/error

Fang et al. (2012): Misconduct accounts for the majority of retracted scientific publications. PNAS 109 no. 42 17028-17033

OUR LAB

What we are doing to openly archive data and software

Software to control the experiment and save the data

Software to analyze and visualize the data

buridan.sourceforge.net

However, a version is already available

Get your API keys.Insert them in your R code

Add the variables to your code

What to publish on figshare

For instance, produce an image than can be previewed (instead of a multiple page pdf)

Add new, or update an existing article

Run your script and...

Same type of experiments → same scriptDefault: → same categories

→ same tags→ same authors→ same links→ same description

→ One complete article, in one click.

Update the figure: Higher sample size directly published while analysed, your boss may see the results before you do! (or you may see the results of your student before they do)

Possibility to make it public and citable in one click or directly in the R code.

Citable?

http://dx.doi.org/10.6084/m9.figshare.97792

Citable!

JULIEN COLOMB

One person is not an institutional infrastructure!

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