contentmining for france and europe; lessons from 2 years in uk

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ADBU, BULAC, Paris, FR, 2016-12-13 Two years of Content Mining in UK: Lessons for France/Europe? Peter Murray-Rust 1,2 [1]University of Cambridge [2]TheContentMine pm286 AT cam DOT ac DOT uk Changing the law is not enough. The government, universities and libra have to actively support researcher

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Page 1: ContentMining for France and Europe; Lessons from 2 years in UK

ADBU, BULAC, Paris, FR, 2016-12-13

Two years of Content Mining in UK: Lessons for France/Europe?

Peter Murray-Rust1,2

[1]University of Cambridge[2]TheContentMine pm286 AT cam DOT ac DOT uk

Changing the law is not enough.The government, universities and libraries

have to actively support researchers.

Page 2: ContentMining for France and Europe; Lessons from 2 years in UK

(2x digital music industry!)

ContentMine is an OpenLocked Non-Profit company

Page 3: ContentMining for France and Europe; Lessons from 2 years in UK

Scholarly publishing is “Big Data”

[2] https://en.wikipedia.org/wiki/Mont_Blanc#/media/File:Mont_Blanc_depuis_Valmorel.jpg

586,364 Crossref DOIs [1] per month (2015-07)2.5 million (papers + supplemental data) /year [citation needed]*

each 3 mm thick 4500 m high per year [2] * Most is not Publicly readable[1] http://www.crossref.org/01company/crossref_indicators.html

1 year’s scholarly output!

Page 4: ContentMining for France and Europe; Lessons from 2 years in UK

Topics

• What UK got right / and not• People!• Examples: science and tools• What we must DO

• Take-away Messages:– France/EU must support and protect researchers. YOU

must do more than talk. – 10,000 papers / day

Slides at http://slideshare.net/petermurrayrust/

Page 5: ContentMining for France and Europe; Lessons from 2 years in UK

What France, Europe and UK must do

• ACTIVELY ENCOURAGE Mining and researchers• INVEST in people, tools, resources, training• ENCOURAGE cooperative publishers• PROTECT researchers from other publishers

Page 6: ContentMining for France and Europe; Lessons from 2 years in UK

National UK support for TDM since 2014?

Page 7: ContentMining for France and Europe; Lessons from 2 years in UK

Content Mining can save lives

• Search for papers with “Ebola” and “Liberia”

Page 8: ContentMining for France and Europe; Lessons from 2 years in UK
Page 9: ContentMining for France and Europe; Lessons from 2 years in UK
Page 10: ContentMining for France and Europe; Lessons from 2 years in UK

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

Page 11: ContentMining for France and Europe; Lessons from 2 years in UK

What is “Content”?

http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0111303&representation=PDF CC-BY

SECTIONS

MAPS

TABLES

CHEMISTRYTEXT

MATH

contentmine.org tackles these

Page 12: ContentMining for France and Europe; Lessons from 2 years in UK
Page 13: ContentMining for France and Europe; Lessons from 2 years in UK

OUP1 Data Mining Policy

http://www.oxfordjournals.org/en/help/third-party-data-mining.html

… we are happy to accommodate TDM for non-commercial use. Although researchers are not required to request permission for non-commercial text-mining, OUP is happy to offer consultation … including avoidance of any technical safeguards triggers OUP has in place

1 Oxford University Press

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Examples

• Bag of words• Chemistry• Zika• Phylogenetics

Page 15: ContentMining for France and Europe; Lessons from 2 years in UK

HAL repository FR

Page 16: ContentMining for France and Europe; Lessons from 2 years in UK

Bag of Words

Theses from HAL repository

Page 17: ContentMining for France and Europe; Lessons from 2 years in UK

http://chemicaltagger.ch.cam.ac.uk/

• Typical

Typical chemical synthesis

Page 18: ContentMining for France and Europe; Lessons from 2 years in UK

Automatic semantic markup of chemistry

Could be used for analytical, crystallization, etc.

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Evolutionary (phylogenetic) trees

• International Journal Systematic and Evolutionary Microbiology

• Diagrams from 4300 independent articles

Page 20: ContentMining for France and Europe; Lessons from 2 years in UK

“Root”

Page 21: ContentMining for France and Europe; Lessons from 2 years in UK

OCR (Tesseract)

Norma (imageanalysis)

(((((Pyramidobacter_piscolens:195,Jonquetella_anthropi:135):86,Synergistes_jonesii:301):131,Thermotoga_maritime:357):12,(Mycobacterium_tuberculosis:223,Bifidobacterium_longum:333):158):10,((Optiutus_terrae:441,(((Borrelia_burgdorferi:…202):91):22):32,(Proprinogenum_modestus:124,Fusobacterium_nucleatum:167):217):11):9);

Semantic re-usable/computable output (ca 4 secs/image)

Page 22: ContentMining for France and Europe; Lessons from 2 years in UK

Supertree created from 4300 papers

Page 23: ContentMining for France and Europe; Lessons from 2 years in UK

Search for 200 articles with “Zika”

file:///Users/pm286/workspace/projects/zika/full.dataTables.html

Page 24: ContentMining for France and Europe; Lessons from 2 years in UK

H2020 project, Coordinated by LIBEREvidence collection

Page 25: ContentMining for France and Europe; Lessons from 2 years in UK

ContentMine believes in young people

Page 26: ContentMining for France and Europe; Lessons from 2 years in UK

ContentMine Workshops on Mining

Chris Kittel, CM, atMozfest 2015

Stefan Kasberger, CM

Page 27: ContentMining for France and Europe; Lessons from 2 years in UK

6 ContentMine Fellows for 6 months

Page 28: ContentMining for France and Europe; Lessons from 2 years in UK

Neo Christopher Chung

Warsaw, Computational Biology Wants to find out geographic and temporal differences in the use of genomic software tools

Page 29: ContentMining for France and Europe; Lessons from 2 years in UK

Paola Masuzzo Ghent, Computational Omics and Systems Biology Wants to mine literature around cell migrations and invasion to create 1) collection of

minimum requirements, 2) check for nomenclatura consistency and 3) construct a knowledge map

Page 30: ContentMining for France and Europe; Lessons from 2 years in UK

Alexandra Bannach-Brown Edinburgh, Neuroscience Problem: huge body of works in animal studies about depressions. systematic review is the main

approach for getting insight. Wants: identify papers in systematic review of depressive behaviour in animals. What

drugs, what methods, what outcomes and signs/phenotypes. Use outcomes for document clustering.

and expedite scientific advances."

Corpus: 70.000 Papers

Page 31: ContentMining for France and Europe; Lessons from 2 years in UK

Alexandre Hannud Abdo “Our goal is to mine facts from global health research and provide automated referenced

summaries to practitioners and agents who don’t have the means or the time to navigate the literature.

From Brazil, Life Sciences, works on project about evolution of oncology Wants: extract facts from cancer research conference papers and global health papers

OPEN NOTEBOOK RESEARCH

Page 32: ContentMining for France and Europe; Lessons from 2 years in UK

Alexandre Hannud Abdo “Our goal is to mine facts from global health research and provide automated referenced

summaries to practitioners and agents who don’t have the means or the time to navigate the literature.

From Brazil, Life Sciences, works on project about evolution of oncology „I am extremely happy to join this first cohort of ContentMine Fellows. I participated in a

ContentMine workshop in 2014 and have been following the progress of the project ever since, looking for an opportunity to collaborate which now materializes.“

Problem: Get text and metadata out of old conference proceedings and measure the evolution of ideas and practice using entity analysis, especially trends.

Wants: extract facts from cancer research conference papers and global health papers. Extracting topics (innovations, developments) and comparing the two types of publications. Find out which facts from conferences get later on published in articles.

Has some issues with software

Page 33: ContentMining for France and Europe; Lessons from 2 years in UK

Guanyang Zhang Biology, Arizona „My ContentMine Fellowship project will focus on mining weevil-plant associations from literature

records.“ „Motivation. Comprising ~70,000 described and 220,000 estimated species, weevils

(Curculionoidea) are one of the most diverse plant-feeding insect lineages and constitute nearly 5% of all known animals.“

„Knowledge of host plant associations is critical for pest management, conservation, and comparative biological research. This knowledge is, however, scattered in 300 years of historical literature and difficult to access.“

Weevil-plant association network graph made with Google Fusion Table. Each blue circle is a weevil tribe and yellow circle a plant genus. The size of a circle represents the number of associations.

Page 34: ContentMining for France and Europe; Lessons from 2 years in UK

Lars Willighagen 15 years old NL Wants: extract data about conifers (relations to chemicals, height etc.) Outcome: database with webpage containing conifer properties Table Facts Visualiser DEMO Card DEMO Word Cloud „ I applied to this fellowship to learn new things and combine the ContentMine with two previous

projects I never got to finish, and I got really excited by the idea and the ContentMine at large.“

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Infrastrucure

• ContentMine has had to build nearly everything

• Interoperates with SciPy, R-OpenSci, GitHub …• Fully Open (CC BY, Apache 2)

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• 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

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catalogue

getpapers

query

DailyCrawl

EuPMC, arXivCORE , HAL,(UNIV repos)

ToCservices

PDF HTMLDOC ePUB TeX XML

PNGEPS CSV

XLSURLsDOIs

crawl

quickscrape

normaNormalizerStructurerSemanticTagger

Text

DataFigures

ami

UNIVRepos

search

LookupCONTENTMINING

Chem

Phylo

Trials

CrystalPlants

COMMUNITY

plugins

Visualizationand Analysis

PloSONE, BMC, peerJ… Nature, IEEE, Elsevier…

Publisher Sites

scrapersqueries

taggers

abstract

methods

references

CaptionedFigures

Fig. 1

HTML tables

30, 000 pages/day Semantic ScholarlyHTML

Facts

CONTENTMINE Complete OPEN Platform for Mining Scientific Literature

INFRASTRUCTURE!

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• Chris Hartgerink Tilburg University (NL) • Reproducible Science• Extracting statistical information• Helping authors check reported results• Detecting problematic study results (e.g., clinical trials)

Page 39: ContentMining for France and Europe; Lessons from 2 years in UK

[1]

[1] STATCHECK from Chris Hartgerink

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“Symmetry [is] indication of potential publication bias”

Machines are BETTER than humans here

Can we believe meta-analyses of clinical trials?

Page 41: ContentMining for France and Europe; Lessons from 2 years in UK

file:///Users/pm286/workspace/svg2xml/target/table/ada2PH1Total.html

ContentMine converts PDF to HTML5

Perfect for machines!

PDF table

HTML5 table Horrible for machines!

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And now the main problem…

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@Senficon (Julia Reda) :Text & Data mining in times of #copyright maximalism:

"Elsevier stopped me doing my research" http://onsnetwork.org/chartgerink/2015/11/16/elsevier-stopped-me-doing-my-research/ …

#opencon #TDM

Elsevier stopped me doing my researchChris Hartgerink

Page 44: ContentMining for France and Europe; Lessons from 2 years in UK

I am a statistician interested in detecting potentially problematic research such as data fabrication, which results in unreliable findings and can harm policy-making, confound funding decisions, and hampers research progress.To this end, I am content mining results reported in the psychology literature. Content mining the literature is a valuable avenue of investigating research questions with innovative methods. For example, our research group has written an automated program to mine research papers for errors in the reported results and found that 1/8 papers (of 30,000) contains at least one result that could directly influence the substantive conclusion [1].In new research, I am trying to extract test results, figures, tables, and other information reported in papers throughout the majority of the psychology literature. As such, I need the research papers published in psychology that I can mine for these data. To this end, I started ‘bulk’ downloading research papers from, for instance, Sciencedirect. I was doing this for scholarly purposes and took into account potential server load by limiting the amount of papers I downloaded per minute to 9. I had no intention to redistribute the downloaded materials, had legal access to them because my university pays a subscription, and I only wanted to extract facts from these papers.Full disclosure, I downloaded approximately 30GB of data from Sciencedirect in approximately 10 days. This boils down to a server load of 0.0021GB/[min], 0.125GB/h, 3GB/day.Approximately two weeks after I started downloading psychology research papers, Elsevier notified my university that this was a violation of the access contract, that this could be considered stealing of content, and that they wanted it to stop. My librarian explicitly instructed me to stop downloading (which I did immediately), otherwise Elsevier would cut all access to Sciencedirect for my university.I am now not able to mine a substantial part of the literature, and because of this Elsevier is directly hampering me in my research.[1] Nuijten, M. B., Hartgerink, C. H. J., van Assen, M. A. L. M., Epskamp, S., & Wicherts, J. M. (2015). The prevalence of statistical reporting errors in psychology (1985–2013). Behavior Research Methods, 1–22. doi: 10.3758/s13428-015-0664-2

Chris Hartgerink’s blog post

Page 45: ContentMining for France and Europe; Lessons from 2 years in UK

http://onsnetwork.org/chartgerink/2016/02/23/wiley-also-stopped-my-doing-my-research/

Wiley also stopped me (Chris Hartgerink) doing my researchIn November, I wrote about how Elsevier wanted me to stop downloading scientific articles for my research. Today, Wiley also ordered me to stop downloading.

As a quick recapitulation: I am a statistician doing research into detecting potentially problematic research such as data fabrication and estimating how often it occurs. For this, I need to download many scientific articles, because my research applies content mining methods that extract facts from them (e.g., test statistics). These facts serve as my data to answer my research questions. If I cannot download these research articles, I cannot collect the data I need to do my research.I was downloading psychology research articles from the Wiley library, with a maximum of 5 per minute. I did this using the tool quickscrape, developed by the ContentMine organization. With this, I have downloaded approximately 18,680 research articles from the Wiley library, which I was downloading solely for research purposes.Wiley noticed my downloading and notified my university library that they detected a compromised proxy, which they

had immediately restricted. They called it “illegally downloading copyrighted content licensed by your institution”. However, at no point was there any investigation into whether my user credentials were actually compromised (they were not). Whether I had legitimate reasons to download these articles was never discussed. The original email from Wiley is available here.

As a result of Wiley denying me to download these research articles, I cannot collect data from another one of the big publishers, alongside Elsevier. Wiley is more strict than Elsevier by immediately condemning the downloading as illegal, whereas Elsevier offers an (inadequate) API with additional terms of use (while legitimate access has already been obtained). I am really confused about what the publisher’s stance on content mining is, because Sage and Springer seemingly allow it; I have downloaded 150,210 research articles from Springer and 12,971 from Sage and they never complained about it.

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Page 47: ContentMining for France and Europe; Lessons from 2 years in UK

Julia Reda, Pirate MEP, running ContentMine software to liberate science 2016-04-16

Page 48: ContentMining for France and Europe; Lessons from 2 years in UK

University of Cambridge, and ContentMine/OKI

• Work with benign publishers to establish protocols and legal certainty

• Meeting/workshop in Cambridge (March 2017) • Some publishers welcoming Mining:

– Cambridge University Press– International Union of Crystallography– Oxford University Press– The Royal Society

– ?Springer, ?Sage

Page 49: ContentMining for France and Europe; Lessons from 2 years in UK

What France, UK and Europe must do

• ACTIVELY encourage Mining and researchers• INVEST in tools, resources, training• ENCOURAGE cooperative publishers• PROTECT researchers from aggressive publishers

• Need ACTIONS, not WORDS or it will be too late

Page 50: ContentMining for France and Europe; Lessons from 2 years in UK

Credits for pictures

Lars: https://commons.wikimedia.org/wiki/File:Conifer_cone_park.jpg https://commons.wikimedia.org/wiki/File:Hylobius_abietis_up.jpg Guanyan: https://upload.wikimedia.org/wikipedia/commons/4/47/Adult_citrus_root_weevil,_Diaprepes_abbreviatus.jpg Paola: https://commons.wikimedia.org/wiki/File:Four_steps_of_cell_migration.png https://commons.wikimedia.org/wiki/File:Cellmigrationmodels.png Alexandra: https://de.wikipedia.org/wiki/Rat_Park#/media/File:Wistar_rat.jpg https://en.wikipedia.org/wiki/Laboratory_mouse#/media/File:Scid_mouse.jpg Ale https://commons.wikimedia.org/wiki/File:Mouth_and_oropharynx_cancers_world_map_-_Death_-_WHO2004.svg https://commons.wikimedia.org/wiki/File:Lung_cancer_US_distribution.gif https://en.wikipedia.org/wiki/Liver_cancer#/media/File:Liver_cancer_world_map-Deaths_per_million_persons-WHO2012.svg

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Page 52: ContentMining for France and Europe; Lessons from 2 years in UK

“… simulated by 21cmFAST is in principle independent”

“it is a feature of the 21cmFAST code, and is explained in §3.1.”

SciCodes[1]: Searching for software in arXiv[1]

[1] Proposal to LJ Arnold Foundation (Alice Allen ASCL and PMR)

Using the semi-numerical simulation, 21cmFAST,

[2] arxiv.org: the physics/maths/astronomy.. Preprint server

The language identifies the software!

arxIv has >500 mentions of “21cmFast”