The Avoidable Waste of Scholarly Publishing
Peter Murray-Rust*,
ContentMine.org and the University of Cambridge
PLoS, Cambridge, UK 2015-07-09
Scholarly Publishing un/wittingly destroys huge amounts of publicly
funded research.
There are solutions; what is needed is will
Background
• Contentmine aims to make large areas of scientific fact OPEN (100
million facts/year)
• We’re working with WellcomeTrust, Europe PubMedCentral, etc.
• A politically “hot” area (Hargreaves legislation, EU activity)
• 2015 WellcomeTrust workshop on TDM and Neuroscience; “rough
consensus” on what was needed.
• Day workshop at Cochrane, UK (Amy Price, Anna Noel Storr, Ben
Goldacre)
• 2-day workshop at Edinburgh on Systematic Reviews of Animal Test
publications
• In the last few months we’ve prototyped a unique Open starting
point, continuously released.
• Can PLoS and ContentMine find constructive ways forward?
PM-R’s “first real paper”, doing science by
re-using the results of otherts in a novel way
1974:
Each point represented 1-4 hours
in library – discovery, volume delivery,
Transcription, hand calculation.
http://www.nytimes.com/2015/04/08/opinion/yes-we-were-warned-about-
ebola.html
We were stunned recently when we stumbled across an article by European
researchers in Annals of Virology [1982]: “The results seem to indicate that
Liberia has to be included in the Ebola virus endemic zone.” In the future,
the authors asserted, “medical personnel in Liberian health centers should be
aware of the possibility that they may come across active cases and thus be
prepared to avoid nosocomial epidemics,” referring to hospital-acquired
infection.
Adage in public health: “The road to inaction is paved with research
papers.”
Bernice Dahn (chief medical officer of Liberia’s Ministry of Health)
Vera Mussah (director of county health services)
Cameron Nutt (Ebola response adviser to Partners in Health)
A System Failure of Scholarly Publishing
MONROVIA, Liberia — The conventional
wisdom among public health authorities is
that the Ebola virus, which killed at least
10,000 people in Liberia, Sierra Leone and
Guinea, was a new phenomenon, not seen in
West Africa before 2013. (The one exception
was an anomalous case in Ivory Coast in 1994,
when a Swiss primatologist was infected after
performing an autopsy on a chimpanzee.)
The conventional wisdom is wrong. We were
stunned recently when we stumbled across an
article by European researchers in Annals of
Virology: “The results seem to indicate that
Liberia has to be included in the Ebola virus
endemic zone.” In the future, the authors
asserted, “medical personnel in Liberian health
centers should be aware of the possibility that
they may come across active cases and thus be
prepared to avoid nosocomial epidemics,”
referring to hospital-acquired infection.
As members of a team drafting Liberia’s Ebola
recovery plan last month, we systematically
reviewed the literature on Ebola surveillance
since the virus’s discovery in central Africa in
1976. We learned that the virologists who wrote
that report, who were from Germany, had
analyzed frozen blood samples taken in 1978 and
1979 from 433 Liberian citizens. They found that
26 (or 6 percent) had antibodies to the Ebola
virus.
Three other studies published in 1986
documented Ebola antibody prevalence rates of
10.6, 13.4 and 14 percent, respectively, in
northwestern Liberia, not far from its borders
with Sierra Leone and Guinea. These articles,
along with other forgotten reports from the
1980s on antibody prevalence in neighboring
Sierra Leone and Guinea, suggest the possibility
of what some call “sanctuary sites,” or
persistent, if latent, Ebola infection in humans.
Bernice Dahn is the chief medical officer of Liberia’s Ministry of Health, where Vera Mussah
is the director of county health services. Cameron Nutt is the Ebola response adviser to Dr.
Paul Farmer at the nonprofit group Partners in Health.
“Free” and “Open”
• "Free software is a matter of liberty, not price.
’free speech', not 'free beer'”. (R M Stallman)
• “A piece of data or content is open if anyone is
free to use, reuse, and redistribute it”
(OKFN)http://opendefinition.org/
• “open” (access) has multiple incompatible “definitions”. Major split
is “human eyeballs” vs copying and machine “reusability”
• “Open” is a marketing term for publishers, who frequently (often
deliberately) do not grant full Openness.
“Gratis” vs “Libre”
http://www.budapestopenaccessinitiative.org/read
… an unprecedented public good. …
… completely free and unrestricted access to [peer-
reviewed literature] by all scientists, scholars, teachers,
students, and other curious minds. …
…Removing access barriers to this literature will
accelerate research, enrich education, share the
learning of the rich with the poor and the poor with
the rich, make this literature as useful as it can be, and
lay the foundation for uniting humanity in a common
intellectual conversation and quest for knowledge.
(Budapest Open Access Initiative, 2003)
Scientific and Medical publication (STM)[+]
• World Citizens pay $400,000,000,000…
• … for research in 1,500,000 articles …
• … cost $300,000 each to create …
• … $7000 each to “publish” [*]…
• … $10,000,000,000 from academic libraries …
• … to “publishers” who forbid access to 99.9% of citizens of
the world …
• 85% of medical research is wasted (not published, badly
conceived, duplicated, …)
[+] Figures probably +- 50 %
[*] arXiV preprint server costs $7 USD per paper
• “creative use of these large data sets in the US health care sector
could generate more than $300bn in value per annum” [MGI,
McKinsey]
• Gartner Inc. has identified 'Big Data' and 'Next-Generation
Analytics' as two of the 'Top 10 Strategic Technologies' for 2012.
• Given the volume of text generated by business, academic and
social activities – in for example competitor reports, research
publications or customer opinions on social networking sites – text
mining is, however, highly important. [JISC]
• there are some tasks that simply could not be achieved without
using text mining. For example, a major pharmaceutical company
used text mining tools to evaluate 50,000 patents in 18 months.
This would have taken 50 person years to achieve manually,
meaning that it would not even have been contemplated. [JISC]
“Big Data – and Analytics (ContentMining)
Prof. Ian Hargreaves (2011): "David Cameron's
exam question”: "Could it be true that laws
designed more than three centuries ago with the
express purpose of creating economic incentives
for innovation by protecting creators' rights are
today obstructing innovation and economic
growth?”
“yes. We have found that the UK's intellectual
property framework, especially with regard to
copyright, is falling behind what is needed.” "Digital
Opportunity" by Prof Ian Hargreaves - http://www.ipo.gov.uk/ipreview.htm. Licensed under CC BY 3.0 via Wikipedia -
https://en.wikipedia.org/wiki/File:Digital_Opportunity.jpg#/media/File:Digital_Opportunity.jpg
PUBLISHER TDM LICENCE INITIATIVES
GENERALLY DO NOT HELP
• Publishers have started offering their own TDM licences and policies
• Their licences often impose unfair (and in the case of the UK, unenforceable)
constraints on researchers’ freedom to exploit TDM, e.g., requiring users to
employ publisher’s API, putting unnecessary restrictions on how much can be
copied, or how fast it can be copied.
• Why “unenforceable”? Because, as noted earlier, UK law specifically states
that any contract or licence term that prevents anyone from doing TDM in the
manner prescribed in the new exception shall be deemed null and void.
• Really need a test case on these attempted restrictions.
• Springer and Royal Society offer generous TDM provisions.
• So why are so many publishers offering restrictive licences in the UK? Maybe
they hope licensees are ignorant of the strength of the new law, or the
publishers in fact don’t know about it. So they are either deliberately
misleading, or ignorant
Prof Charles Oppenheim and contentmine.org
Elsevier wants to control Open Data
[asked by Michelle Brook]
Front. Pharmacol., 03 October 2011 |
http://dx.doi.org/10.3389/fphar.2011.00051
How “data” are published in the 21st C
http://drugmonkey.scientopia.org/2010/08/11/yay-j-neuroscience-agrees-with-me-that-
supplementary-materials-is-bs-and-ruining-science/
w00000t!!!!1111!!!!ELEVEN!!!!
YAYAYAYAYAYAY!!!! Damn
tootin'!!!!!
Supplemental material also
undermines the concept of a
self-contained research report
by providing a place for critical
material to get lost. Methods
that are essential for replicating
the experiments, analyses that
are central to validating the
results, and awkward
observations are increasingly
being relegated to supplemental
material. Such material is not
supplemental and belongs in the
body of the article, but authors
can be tempted (or, with some
journals, encouraged) to place
essential article components in
the supplemental material.
catalogue
getpapers
query
Daily
Crawl
EuPMC, arXiv
CORE , HAL,
(UNIV repos)
ToC
services
PDF HTML
DOC ePUB
TeX XML
PNG
EPS CSV
XLSURLs
DOIs
crawl
quickscrape
norma
Normalizer
Structurer
Semantic
Tagger
Text
Data
Figures
ami
UNIV
Repos
search
Lookup
CONTENT
MINING
Chem
Phylo
Trials
Crystal
Plants
COMMUNITY
plugins
Visualization
and Analysis
PloSONE, BMC,
peerJ… Nature, IEEE,
Elsevier…
Publisher Sites
scrapers
queries
taggers
abstract
methods
references
Captioned
Figures
Fig. 1
HTML tables
30, 000 pages/day
Semantic ScholarlyHTML
Facts
Regular Expressions for Systematic Reviews of Animal Tests
Preceding Text
Following Text
Extracted term
Today’s Results!! We searched papers for 200 regex-based
Terms and got ca 100 hits per paper
Questions we can tackle
• How to we find (mentions of) clinical/animal trials?
• Is a document a trial?
• What is the subject of the trial?
• What is the methodology used?
• Does the design and practice conform to
CONSORT/ARRIVE?
• What are the outcomes?
• Can we extract specific re-usable information?
• Who are involved? (researchers, sponsors, patients?)
• Has a proposed trial been completed and reported?
Linked Open Data – the world’s knowledge
very little physical science and THESES?? 
http://upload.wikimedia.org/wikipedia/commons/3/34/LOD_Cloud_Diagram_as_of_September_2011.png
DBPedia
BIO
Comp
Lib
PDB
Ontologies
GOV
GOV.uk
Music,
Art
Literature
Social
Knowledge
bases
RDF
triples
Liberation Software
The Right to Read is the Right to Mine
http://contentmine.org
https://en.wikipedia.org/wiki/Irrigation#mediaviewer/File:Pump-
enabled_Riverside_Irrigation_in_Comilla,_Bangladesh,_25_April_2014.jpg CC BY-SA 3.0
Daily Stream of 100,000 Open Facts
Twitter?Indexed by CAT
What is “Content”?
http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.01113
03&representation=PDF CC-BY
SECTIONS
MAPS
TABLES
CHEMISTRY
TEXT
MATH
contentmine.org tackles these
PLoSONE BMC
1
BMC
2
Closed1 Closed2Hybrid
CATalog
Enhanced annotated
articles
FACTSFACTS
Daily Crawl
Crawl … Scrape … Normalize … Mine
Linked OpenData
Semantic
Scientific Objects
2000-5000
Articles
What is “Content”?
catalogue
getpapers
query
Daily
Crawl
EuPMC, arXiv
CORE , HAL,
(UNIV repos)
ToC
services
PDF HTML
DOC ePUB
TeX XML
PNG
EPS CSV
XLSURLs
DOIs
crawl
quickscrape
norma
Normalizer
Structurer
Semantic
Tagger
Text
Data
Figures
ami
UNIV
Repos
search
Lookup
CONTENT
MINING
Chem
Phylo
Trials
Crystal
Plants
COMMUNITY
plugins
Visualization
and Analysis
PloSONE, BMC,
peerJ… Nature, IEEE,
Elsevier…
Publisher Sites
scrapers
queries
taggers
abstract
methods
references
Captioned
Figures
Fig. 1
HTML tables
30, 000 pages/day
Semantic ScholarlyHTML
Facts
Machine-Human symbioses
• Wikipedia
• Open StreetMap
• Google
We aim to make it trivial for a human+machine
to mine the scientific literature.
By building Communities
ContentMine Workshops and
Hackdays
Open Science Brazil, 2014-08
Easily distributed software
Get started in 30 mins
Build application
in a morning
Start simple: bagOfWords, Stemming, Regex, templates
Facts Marked by “non-scientists” in ContentMine workshops
With Wikipedia everyone can be a scientist
Oxford 2013
Berlin 2014
Delhi 2014
Jenny Molloy with mascot AMI
Workshops
(1-hour -> full day or more)
2014-May->Nov
• Budapest/Shuttleworth
• Leicester Univ
• Electronic Theses and Dissertations
• Austrian Science Fund AT
• OKFest DE
• Eur. Bioinformatics Institute
• Open Science Rio de Janeiro BR
• Sci DataCon , Delhi IN
• Univ of Chicago US
• OpenCon 2014, Wash DC. US
• JISC , London
Upcoming
• LIBER
• Cochrane
• BL
• Wellcome Trust (April)
• WHO
Collaborators
• Wikimedia/Wikidata
• Mozilla
• Open Knowledge
• LIBER (European Research Libraries)
• British Library
• Wellcome Trust
• EBI (Eur. Bioinf. Inst.)
• JISC
• Open Access Button
• SPARC
• Creative Commons
• CORE
• EuropePubmedCentral
• CRAWL the web for scientific documents
(articles, grey literature, repositories)
• quickSCRAPE pages (text, graphics, images, data)
• NORMA-lize page to semantic form
…Open semantic science …
• MINE pages with your methods and tools (AMI)
• CAT-alogue results in searchable index
• Automate daily process (CANARY)
contentmine.org Infrastructure
catalogue
getpapers
query
Daily
Crawl
EuPMC, arXiv
CORE , HAL,
(UNIV repos)
ToC
services
PDF HTML
DOC ePUB
TeX XML
PNG
EPS CSV
XLSURLs
DOIs
crawl
quickscrape
norma
Normalizer
Structurer
Semantic
Tagger
Text
Data
Figures
ami
UNIV
Repos
search
Lookup
CONTENT
MINING
Chem
Phylo
Trials
Crystal
Plants
COMMUNITY
plugins
Visualization
and Analysis
PloSONE, BMC,
peerJ… Nature, IEEE,
Elsevier…
Publisher Sites
scrapers
queries
taggers
abstract
methods
references
Captioned
Figures
Fig. 1
HTML tables
30, 000 pages/day
Semantic ScholarlyHTML
Facts
quickscrape
Crawl
Feed
Norma Index &
Transform
TXT
XML
URL
DOI
Scientific
literature
Repositories DOC
CSV
sHTML
Plugins
Regex
SequencesSpecies
Bespoke
Scrapers
XPathPer-Journal
Taggers
Per- Journal
MetadataChemistry
Phylogenetics Farming
AMI
BadHTML
OCR
Diagrams
Open NORMA-lized Scientific
Literature + Facts
CANARY pipeline
CAT-alogue index
PDF
https://commons.wikimedia.org/wiki/File:Flickr_-_DVIDSHUB_-_RSP_Warrior_Challenge_Prepares_Soldiers_Mentally,_Physically_%281%29.jpg
CRAWLing the Literature
NO Central Table of Contents
Massive technical, political, legal opposition
Little interest from Academia
Tedious
Few general tools
The Right to Read is The Right To Mine
PMR in 2012: http://blog.okfn.org/2012/06/01/the-right-to-read-is-the-right-to-mine/
SCRAPE
https://en.wikipedia.org/wiki/Gleaning#mediaviewer/File:Millet_Gleaners.jpg PublicDomain
PDF
HTML
XML quickscrape*
*Scrapers created by
Richard Smith-Unna +
Community
HTML
PDF
XML
PNG
SVG
CSV
DOC
LaTeX
CIF
…
Non-standard per-publisher site
https://en.wikipedia.org/wiki/W._Heath_Robinson#mediaviewer/File:Robinson%28WH%29-%28%27Uncle_Lubin%27%29.jpg PublicDomain
NORMA-lization of Scientific Literature
PDFs, Broken HTML
PNGs for Math, etc.
NORMA
Unicode
Diacritics
Well-formed
Sectioned
Tagged
SVG diagrams
AMI-plugins
• BagOfWords, Stemming and Regular Expressions
• Species
• Biological Sequences
• Chemical compounds & reactions
• Farming * (Rory Aaronson)
• Crystallography * (Saulius Grazulis, COD)
• Clinical Trials * (Amy Price)
• Phylogenetics * (Ross Mounce)
• Phytochemistry * (Chris Steinbeck, PMR)
* subcommunities
Text-based plugins
• Bag of words
(https://en.wikipedia.org/wiki/Bag-of-
words_model)
• https://en.wikipedia.org/wiki/Tf%E2%80%93idf
(Term-frequency, inverse document frequency)
• Templates and regexes (regular expressions).
“Bag of Words”
Three fulltext articles from trialsjournal.com
Regular Expressions for Systematic Reviews of Animal Tests
Preceding Text
Following Text
Extracted term
“nuggets” in a scientific paper
quantity
units
Value ranges
Humans aren’t designed to mine this … 
chemical
project places
http://chemicaltagger.ch.cam.ac.uk/
• Typical
Typical chemical synthesis
Open Content Mining of FACTs
Machines can interpret chemical reactions
We have done 500,000 patents. There are >
3,000,000 reactions/year. Added value > 1B Eur.
Ln Bacterial load per fly
11.5
11.0
10.5
10.0
9.5
9.0
6.5
6.0
Days post—infection
0 1 2 3 4 5
Bitmap Image and Tesseract OCR
UNITS
TICKS
QUANTITY
SCALE
TITLES
DATA!!
2000+ points
Dumb PDF
CSV
Semantic
Spectrum
2nd Derivative
Smoothing
Gaussian Filter
Automatic
extraction
AMI https://bitbucket.org/petermr/xhtml2stm/wiki/Home
Example reaction scheme, taken from MDPI Metabolites 2012, 2, 100-133; page 8, CC-BY:
AMI reads the complete diagram,
recognizes the paths and
generates the molecules. Then
she creates a stop-fram animation
showing how the 12 reactions
lead into each other
CLICK HERE FOR ANIMATION
(may be browser dependent)
https://blogs.ch.cam.ac.uk/pmr/2014/06/25/content-mining-we-can-now-
mine-images-of-phylogenetic-trees-and-more/ for story of extraction
Thinning Topology
Serialization
Newick
Peter
Murray-Rust
BMC publisher
Blue Obelisk paper (20
co-authors)
Sub-network
From CATalog
Phytochemistry extraction
O. dayi
“volatile composition of “
A.sibeiri
A. judaica
Displayed by CAT (CottageLabs)
What we can do
• Recognize and promote autonomous sub-
communities
• Engage Early Career Researchers, including
undergraduates and let THEM BUILD the
systems.
• COMMUNALLY build tools for data checking
• Insist on semantic data input, even if it costs
submissions
contentmine.org team

Plosslides

  • 1.
    The Avoidable Wasteof Scholarly Publishing Peter Murray-Rust*, ContentMine.org and the University of Cambridge PLoS, Cambridge, UK 2015-07-09 Scholarly Publishing un/wittingly destroys huge amounts of publicly funded research. There are solutions; what is needed is will
  • 2.
    Background • Contentmine aimsto make large areas of scientific fact OPEN (100 million facts/year) • We’re working with WellcomeTrust, Europe PubMedCentral, etc. • A politically “hot” area (Hargreaves legislation, EU activity) • 2015 WellcomeTrust workshop on TDM and Neuroscience; “rough consensus” on what was needed. • Day workshop at Cochrane, UK (Amy Price, Anna Noel Storr, Ben Goldacre) • 2-day workshop at Edinburgh on Systematic Reviews of Animal Test publications • In the last few months we’ve prototyped a unique Open starting point, continuously released. • Can PLoS and ContentMine find constructive ways forward?
  • 3.
    PM-R’s “first realpaper”, doing science by re-using the results of otherts in a novel way
  • 4.
    1974: Each point represented1-4 hours in library – discovery, volume delivery, Transcription, hand calculation.
  • 6.
    http://www.nytimes.com/2015/04/08/opinion/yes-we-were-warned-about- ebola.html We were stunnedrecently when we stumbled across an article by European researchers in Annals of Virology [1982]: “The results seem to indicate that Liberia has to be included in the Ebola virus endemic zone.” In the future, the authors asserted, “medical personnel in Liberian health centers should be aware of the possibility that they may come across active cases and thus be prepared to avoid nosocomial epidemics,” referring to hospital-acquired infection. Adage in public health: “The road to inaction is paved with research papers.” Bernice Dahn (chief medical officer of Liberia’s Ministry of Health) Vera Mussah (director of county health services) Cameron Nutt (Ebola response adviser to Partners in Health) A System Failure of Scholarly Publishing
  • 7.
    MONROVIA, Liberia —The conventional wisdom among public health authorities is that the Ebola virus, which killed at least 10,000 people in Liberia, Sierra Leone and Guinea, was a new phenomenon, not seen in West Africa before 2013. (The one exception was an anomalous case in Ivory Coast in 1994, when a Swiss primatologist was infected after performing an autopsy on a chimpanzee.) The conventional wisdom is wrong. We were stunned recently when we stumbled across an article by European researchers in Annals of Virology: “The results seem to indicate that Liberia has to be included in the Ebola virus endemic zone.” In the future, the authors asserted, “medical personnel in Liberian health centers should be aware of the possibility that they may come across active cases and thus be prepared to avoid nosocomial epidemics,” referring to hospital-acquired infection. As members of a team drafting Liberia’s Ebola recovery plan last month, we systematically reviewed the literature on Ebola surveillance since the virus’s discovery in central Africa in 1976. We learned that the virologists who wrote that report, who were from Germany, had analyzed frozen blood samples taken in 1978 and 1979 from 433 Liberian citizens. They found that 26 (or 6 percent) had antibodies to the Ebola virus. Three other studies published in 1986 documented Ebola antibody prevalence rates of 10.6, 13.4 and 14 percent, respectively, in northwestern Liberia, not far from its borders with Sierra Leone and Guinea. These articles, along with other forgotten reports from the 1980s on antibody prevalence in neighboring Sierra Leone and Guinea, suggest the possibility of what some call “sanctuary sites,” or persistent, if latent, Ebola infection in humans. Bernice Dahn is the chief medical officer of Liberia’s Ministry of Health, where Vera Mussah is the director of county health services. Cameron Nutt is the Ebola response adviser to Dr. Paul Farmer at the nonprofit group Partners in Health.
  • 8.
    “Free” and “Open” •"Free software is a matter of liberty, not price. ’free speech', not 'free beer'”. (R M Stallman) • “A piece of data or content is open if anyone is free to use, reuse, and redistribute it” (OKFN)http://opendefinition.org/ • “open” (access) has multiple incompatible “definitions”. Major split is “human eyeballs” vs copying and machine “reusability” • “Open” is a marketing term for publishers, who frequently (often deliberately) do not grant full Openness. “Gratis” vs “Libre”
  • 9.
    http://www.budapestopenaccessinitiative.org/read … an unprecedentedpublic good. … … completely free and unrestricted access to [peer- reviewed literature] by all scientists, scholars, teachers, students, and other curious minds. … …Removing access barriers to this literature will accelerate research, enrich education, share the learning of the rich with the poor and the poor with the rich, make this literature as useful as it can be, and lay the foundation for uniting humanity in a common intellectual conversation and quest for knowledge. (Budapest Open Access Initiative, 2003)
  • 10.
    Scientific and Medicalpublication (STM)[+] • World Citizens pay $400,000,000,000… • … for research in 1,500,000 articles … • … cost $300,000 each to create … • … $7000 each to “publish” [*]… • … $10,000,000,000 from academic libraries … • … to “publishers” who forbid access to 99.9% of citizens of the world … • 85% of medical research is wasted (not published, badly conceived, duplicated, …) [+] Figures probably +- 50 % [*] arXiV preprint server costs $7 USD per paper
  • 11.
    • “creative useof these large data sets in the US health care sector could generate more than $300bn in value per annum” [MGI, McKinsey] • Gartner Inc. has identified 'Big Data' and 'Next-Generation Analytics' as two of the 'Top 10 Strategic Technologies' for 2012. • Given the volume of text generated by business, academic and social activities – in for example competitor reports, research publications or customer opinions on social networking sites – text mining is, however, highly important. [JISC] • there are some tasks that simply could not be achieved without using text mining. For example, a major pharmaceutical company used text mining tools to evaluate 50,000 patents in 18 months. This would have taken 50 person years to achieve manually, meaning that it would not even have been contemplated. [JISC] “Big Data – and Analytics (ContentMining)
  • 12.
    Prof. Ian Hargreaves(2011): "David Cameron's exam question”: "Could it be true that laws designed more than three centuries ago with the express purpose of creating economic incentives for innovation by protecting creators' rights are today obstructing innovation and economic growth?” “yes. We have found that the UK's intellectual property framework, especially with regard to copyright, is falling behind what is needed.” "Digital Opportunity" by Prof Ian Hargreaves - http://www.ipo.gov.uk/ipreview.htm. Licensed under CC BY 3.0 via Wikipedia - https://en.wikipedia.org/wiki/File:Digital_Opportunity.jpg#/media/File:Digital_Opportunity.jpg
  • 13.
    PUBLISHER TDM LICENCEINITIATIVES GENERALLY DO NOT HELP • Publishers have started offering their own TDM licences and policies • Their licences often impose unfair (and in the case of the UK, unenforceable) constraints on researchers’ freedom to exploit TDM, e.g., requiring users to employ publisher’s API, putting unnecessary restrictions on how much can be copied, or how fast it can be copied. • Why “unenforceable”? Because, as noted earlier, UK law specifically states that any contract or licence term that prevents anyone from doing TDM in the manner prescribed in the new exception shall be deemed null and void. • Really need a test case on these attempted restrictions. • Springer and Royal Society offer generous TDM provisions. • So why are so many publishers offering restrictive licences in the UK? Maybe they hope licensees are ignorant of the strength of the new law, or the publishers in fact don’t know about it. So they are either deliberately misleading, or ignorant Prof Charles Oppenheim and contentmine.org
  • 14.
    Elsevier wants tocontrol Open Data [asked by Michelle Brook]
  • 17.
    Front. Pharmacol., 03October 2011 | http://dx.doi.org/10.3389/fphar.2011.00051
  • 20.
    How “data” arepublished in the 21st C
  • 22.
    http://drugmonkey.scientopia.org/2010/08/11/yay-j-neuroscience-agrees-with-me-that- supplementary-materials-is-bs-and-ruining-science/ w00000t!!!!1111!!!!ELEVEN!!!! YAYAYAYAYAYAY!!!! Damn tootin'!!!!! Supplemental materialalso undermines the concept of a self-contained research report by providing a place for critical material to get lost. Methods that are essential for replicating the experiments, analyses that are central to validating the results, and awkward observations are increasingly being relegated to supplemental material. Such material is not supplemental and belongs in the body of the article, but authors can be tempted (or, with some journals, encouraged) to place essential article components in the supplemental material.
  • 35.
    catalogue getpapers query Daily Crawl EuPMC, arXiv CORE ,HAL, (UNIV repos) ToC services PDF HTML DOC ePUB TeX XML PNG EPS CSV XLSURLs DOIs crawl quickscrape norma Normalizer Structurer Semantic Tagger Text Data Figures ami UNIV Repos search Lookup CONTENT MINING Chem Phylo Trials Crystal Plants COMMUNITY plugins Visualization and Analysis PloSONE, BMC, peerJ… Nature, IEEE, Elsevier… Publisher Sites scrapers queries taggers abstract methods references Captioned Figures Fig. 1 HTML tables 30, 000 pages/day Semantic ScholarlyHTML Facts
  • 36.
    Regular Expressions forSystematic Reviews of Animal Tests Preceding Text Following Text Extracted term Today’s Results!! We searched papers for 200 regex-based Terms and got ca 100 hits per paper
  • 37.
    Questions we cantackle • How to we find (mentions of) clinical/animal trials? • Is a document a trial? • What is the subject of the trial? • What is the methodology used? • Does the design and practice conform to CONSORT/ARRIVE? • What are the outcomes? • Can we extract specific re-usable information? • Who are involved? (researchers, sponsors, patients?) • Has a proposed trial been completed and reported?
  • 38.
    Linked Open Data– the world’s knowledge very little physical science and THESES??  http://upload.wikimedia.org/wikipedia/commons/3/34/LOD_Cloud_Diagram_as_of_September_2011.png DBPedia BIO Comp Lib PDB Ontologies GOV GOV.uk Music, Art Literature Social Knowledge bases RDF triples
  • 39.
  • 40.
    The Right toRead is the Right to Mine http://contentmine.org
  • 41.
  • 42.
  • 43.
    PLoSONE BMC 1 BMC 2 Closed1 Closed2Hybrid CATalog Enhancedannotated articles FACTSFACTS Daily Crawl Crawl … Scrape … Normalize … Mine Linked OpenData Semantic Scientific Objects 2000-5000 Articles
  • 44.
  • 45.
    catalogue getpapers query Daily Crawl EuPMC, arXiv CORE ,HAL, (UNIV repos) ToC services PDF HTML DOC ePUB TeX XML PNG EPS CSV XLSURLs DOIs crawl quickscrape norma Normalizer Structurer Semantic Tagger Text Data Figures ami UNIV Repos search Lookup CONTENT MINING Chem Phylo Trials Crystal Plants COMMUNITY plugins Visualization and Analysis PloSONE, BMC, peerJ… Nature, IEEE, Elsevier… Publisher Sites scrapers queries taggers abstract methods references Captioned Figures Fig. 1 HTML tables 30, 000 pages/day Semantic ScholarlyHTML Facts
  • 46.
    Machine-Human symbioses • Wikipedia •Open StreetMap • Google We aim to make it trivial for a human+machine to mine the scientific literature. By building Communities
  • 47.
    ContentMine Workshops and Hackdays OpenScience Brazil, 2014-08 Easily distributed software Get started in 30 mins Build application in a morning Start simple: bagOfWords, Stemming, Regex, templates
  • 48.
    Facts Marked by“non-scientists” in ContentMine workshops With Wikipedia everyone can be a scientist
  • 49.
    Oxford 2013 Berlin 2014 Delhi2014 Jenny Molloy with mascot AMI
  • 50.
    Workshops (1-hour -> fullday or more) 2014-May->Nov • Budapest/Shuttleworth • Leicester Univ • Electronic Theses and Dissertations • Austrian Science Fund AT • OKFest DE • Eur. Bioinformatics Institute • Open Science Rio de Janeiro BR • Sci DataCon , Delhi IN • Univ of Chicago US • OpenCon 2014, Wash DC. US • JISC , London Upcoming • LIBER • Cochrane • BL • Wellcome Trust (April) • WHO Collaborators • Wikimedia/Wikidata • Mozilla • Open Knowledge • LIBER (European Research Libraries) • British Library • Wellcome Trust • EBI (Eur. Bioinf. Inst.) • JISC • Open Access Button • SPARC • Creative Commons • CORE • EuropePubmedCentral
  • 51.
    • CRAWL theweb for scientific documents (articles, grey literature, repositories) • quickSCRAPE pages (text, graphics, images, data) • NORMA-lize page to semantic form …Open semantic science … • MINE pages with your methods and tools (AMI) • CAT-alogue results in searchable index • Automate daily process (CANARY) contentmine.org Infrastructure
  • 52.
    catalogue getpapers query Daily Crawl EuPMC, arXiv CORE ,HAL, (UNIV repos) ToC services PDF HTML DOC ePUB TeX XML PNG EPS CSV XLSURLs DOIs crawl quickscrape norma Normalizer Structurer Semantic Tagger Text Data Figures ami UNIV Repos search Lookup CONTENT MINING Chem Phylo Trials Crystal Plants COMMUNITY plugins Visualization and Analysis PloSONE, BMC, peerJ… Nature, IEEE, Elsevier… Publisher Sites scrapers queries taggers abstract methods references Captioned Figures Fig. 1 HTML tables 30, 000 pages/day Semantic ScholarlyHTML Facts
  • 53.
    quickscrape Crawl Feed Norma Index & Transform TXT XML URL DOI Scientific literature RepositoriesDOC CSV sHTML Plugins Regex SequencesSpecies Bespoke Scrapers XPathPer-Journal Taggers Per- Journal MetadataChemistry Phylogenetics Farming AMI BadHTML OCR Diagrams Open NORMA-lized Scientific Literature + Facts CANARY pipeline CAT-alogue index PDF
  • 54.
    https://commons.wikimedia.org/wiki/File:Flickr_-_DVIDSHUB_-_RSP_Warrior_Challenge_Prepares_Soldiers_Mentally,_Physically_%281%29.jpg CRAWLing the Literature NOCentral Table of Contents Massive technical, political, legal opposition Little interest from Academia Tedious Few general tools
  • 55.
    The Right toRead is The Right To Mine PMR in 2012: http://blog.okfn.org/2012/06/01/the-right-to-read-is-the-right-to-mine/
  • 56.
    SCRAPE https://en.wikipedia.org/wiki/Gleaning#mediaviewer/File:Millet_Gleaners.jpg PublicDomain PDF HTML XML quickscrape* *Scraperscreated by Richard Smith-Unna + Community HTML PDF XML PNG SVG CSV DOC LaTeX CIF … Non-standard per-publisher site
  • 57.
    https://en.wikipedia.org/wiki/W._Heath_Robinson#mediaviewer/File:Robinson%28WH%29-%28%27Uncle_Lubin%27%29.jpg PublicDomain NORMA-lization ofScientific Literature PDFs, Broken HTML PNGs for Math, etc. NORMA Unicode Diacritics Well-formed Sectioned Tagged SVG diagrams
  • 58.
    AMI-plugins • BagOfWords, Stemmingand Regular Expressions • Species • Biological Sequences • Chemical compounds & reactions • Farming * (Rory Aaronson) • Crystallography * (Saulius Grazulis, COD) • Clinical Trials * (Amy Price) • Phylogenetics * (Ross Mounce) • Phytochemistry * (Chris Steinbeck, PMR) * subcommunities
  • 59.
    Text-based plugins • Bagof words (https://en.wikipedia.org/wiki/Bag-of- words_model) • https://en.wikipedia.org/wiki/Tf%E2%80%93idf (Term-frequency, inverse document frequency) • Templates and regexes (regular expressions).
  • 60.
    “Bag of Words” Threefulltext articles from trialsjournal.com
  • 61.
    Regular Expressions forSystematic Reviews of Animal Tests Preceding Text Following Text Extracted term
  • 62.
    “nuggets” in ascientific paper quantity units Value ranges Humans aren’t designed to mine this …  chemical project places
  • 63.
  • 64.
    Open Content Miningof FACTs Machines can interpret chemical reactions We have done 500,000 patents. There are > 3,000,000 reactions/year. Added value > 1B Eur.
  • 66.
    Ln Bacterial loadper fly 11.5 11.0 10.5 10.0 9.5 9.0 6.5 6.0 Days post—infection 0 1 2 3 4 5 Bitmap Image and Tesseract OCR
  • 68.
  • 69.
  • 70.
    AMI https://bitbucket.org/petermr/xhtml2stm/wiki/Home Example reactionscheme, taken from MDPI Metabolites 2012, 2, 100-133; page 8, CC-BY: AMI reads the complete diagram, recognizes the paths and generates the molecules. Then she creates a stop-fram animation showing how the 12 reactions lead into each other CLICK HERE FOR ANIMATION (may be browser dependent)
  • 71.
  • 72.
    Peter Murray-Rust BMC publisher Blue Obeliskpaper (20 co-authors) Sub-network From CATalog
  • 73.
    Phytochemistry extraction O. dayi “volatilecomposition of “ A.sibeiri A. judaica Displayed by CAT (CottageLabs)
  • 74.
    What we cando • Recognize and promote autonomous sub- communities • Engage Early Career Researchers, including undergraduates and let THEM BUILD the systems. • COMMUNALLY build tools for data checking • Insist on semantic data input, even if it costs submissions
  • 75.

Editor's Notes

  • #2 Hi, I’m here to talk about AMI; a data extraction framework and tool. First, I just want highlight some of key contributors to the projects; Andy for his work on the ChemistryVisitor and Peter for the overall architecture. In this talk, I’m going to impress the importance of data in a specific format and its utility to automated machine processing. Then I’m going to demonstrate AMI’s architecture and the transformation of data as it flows through the process. I’m going to dwell a little on a core format used, Scalable Vector Graphics (SVG) before introducing the concept of visitors, which are pluggable context specific data extractors. Next, I’m going to introduce Andy’s ChemVisitor, for extracting semantic chemistry data, along with a few other visitors that can process non-chemistry specific data. Finally, I will demonstrate some uses of the ChemVisitor, within the realm of validation and metabolism.