SlideShare a Scribd company logo
Overview:
Illustrative interactive theme
Elaine Toomey [1] wants to collect published knowledge on
“Childhood obesity prevention”
How can we use the current literature to find answers?
(PEOPLE) ECRs have fought for the right to search, and have built tools.
(INFRASTRUCTURE) We’ll
• search/download the literature (getpapers + EuropePMC).
• Add semantics with Wikipedia and Wikidata
Let’s use these to get a sample, scoping review within minutes
[1] http://www.nuigalway.ie/colleges-and-schools/arts-social-sciences-and-celtic-studies/staffprofiles/elainetoomey/
(Many slides are primarily intended for reference)
(2x digital music industry!)
ContentMine is an OpenLocked Non-Profit company
Mining millions of Open facts every week
The Right to Read is the Right to Mine
Oxford 2013
Berlin 2014
Delhi 2014
Jenny Molloy with mascot AMI
Gita Yadav + colleagues
ContentMine-ing
Community
Why Open?
• Better Science (in every aspect)
• Quicker
• Flexible
• Inclusive
• Preservable
• Principled
Opening Knowledge overcomes
injustice
• Open comes from the heart.
• Closed Access Means People Die.
• Megacorporations are pwning the knowledge
infrastructure/
• The Right to Read is the Right to Mine
• Young people change the world. Give them
the chance.
• ACT: Advocacy , Community, Tools
(ContentMine) software can do a simple triage in a few minutes
Ellie: “there were 10,000 abstracts and due
to time pressures, we split this between 6
researchers. It took about 2-3 days of work
(working only on this) to get through
~1,600 papers each. So, at a minimum this
equates to 12 days of full-time work (and
would normally be done over several weeks
under normal time pressures).”
The Problem…
http://chemicaltagger.ch.cam.ac.uk/
• Typical
Typical scientific language
Online demo of Natural Language Processing (NLP)
Text => Science instantaneously
… machines
can help
… machines can “understand” every phrase
… can be configured for drugs, diseases, statistics
Community
Panton Authors and Fellows
Jenny
Molloy
Rufus
Pollock
Panton Arms
Pub Cambridge
2009 Panton Principles
For Open Science Data
Ross Mounce
Sophie Kay-Kershaw
Sam Smith
Open publishing
Peter Kraker
Open Knowledge
Maps
Panton Fellows
Ross Mounce
Bioscientist and palaeontologist
Tireless champion of Open and gadfly of
publishers.
When still a grad student he championed “The
Right to Mine” in The European Commission,
defeating the publishers’ “Licences for Europe”
PMR’s Shuttleworth Flash Grantees
• Erin McKiernan (Open Access)
• Daniel Mietchen (Wikimedian)
• Joe McArthur (Right to Research, SPARC)
• Chris Hartgerink (Text mining)
• Pinkie Chan* (Fighting land grabs in Cambodia w OpenData)
• Heather Piwowar (Impact Story, Unpaywall)
• Sophie Kay-Kershaw (OSTI, reproducibility)
• Corina Logan (Bullied into Bad Science)
• Jon Tennant (Open Science MOOC)
• Lorraine Chuen (Opencon)
Unpaywall
Jason
Priem
Heather
Piwowar
https://unpaywall.org/products/extension
A gamechanger. Professionally run and hopefully reaching the stage where
publishers can’t afford NOT to be in unpaywall.
Expect more APIs and discovery over the next year.
KNOWLEDGE IS A PUBLIC GOOD
Early Career Reseachers and Open Healthcare
ECRs often feel pressured into taking actions
against our ethics to pursue an academic career
(e.g., publishing in particular journals)
ECRs: Sign the petition to help us change academic culture
Non-ECRs: Join the supporters by valuing open practices, especially
when making decisions about hiring, promotion, and grants
Leading individuals and institutions
in adopting open practices to
improve research rigor
We won’t be…
Corina Logan & Laurent
Gatto
BIBS Leading Team: Dr. Laurent Gatto, Dr. Ross Mounce, Dr. Stephen Eglen, Dr. Adrian
Currie, Dr. Lauren Maggio
www.BulliedIntoBadScience.org | Twitter: #BulliedIntoBadScience
Julia Reda, Pirate MEP, running ContentMine
software to liberate science 2016-04-16
@Senficon (Julia Reda) :Text & Data mining in times of
#copyright maximalism:
"Elsevier stopped me doing my research"
http://onsnetwork.org/chartgerink/2015/11/16/elsevi
er-stopped-me-doing-my-research/ … #opencon #TDM
Elsevier stopped me doing my research
Chris Hartgerink
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
chris@libscie.org
@chartgerink
Open (to me) is...
* redistributing resources
* improving (e)quality
Advice
* All problems nested in a bigger
problem; what’s the bigger
problem for what you’re trying to
address?
* Personal, empathetic growth is
key to growing more open (email
if you’d like to chat)
Working on…
* creating an *open* scholarly
communication infrastructure that
makes research fun
* disregarding stakeholder
engagement (promotes the
already powerful players)
6 ContentMine Fellows for 6 months
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
Alexandra Bannach-Brown
To me, Open Science is…
• ensuring your work transparent & reproducible
• ensuring the knowledge you create is open & accessible
Research Fellow in Automation of Evidence Synthesis
Centre for Research in Evidence-Based Practice, Bond University
ContentMine Fellow 2016: Animal Models of Depression
AMI Dictionaries: Anti-depressants
Automation Tools for Medical & Biomedical Reviews
• SyRF (CAMARADES, Edinburgh) – SyRF.org.uk
• Systematic Review Accelerator (CREBP, Bond Uni)
CREBP-SRA.com & Github
Contact:
Twitter: @ABannachBrown
Email: Alexandra_bannachbrown@bond.edu.au
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.“
Daniel Mietchen, Wikimedia
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2011-07-25/Wikimedian_in_Residence_interview
https://en.wikipedia.org/wiki/User:Daniel_Mietchen
https://commons.wikipedia.org/wiki/User:Daniel_Mietchen
Thesupermat - Own work Intervention de Daniel Mietchen aux Rencontres Wikimedia France. CC BY-SA 3.0
File:Rencontres Wikimedia France - Intervention de Daniel Mietchen.JPG Created: 4 December 2010
Infrastructure components
Wikidata links to 100+ Wikipedias
en
https://www.wikidata.org/wiki/Q3241451 childhood obesit
https://www.wikidata.org/wiki/Q12174 obesity
https://en.wikipedia.org/wiki/Childhood_obesity CC BY-SA
Wikidata.org
Wikidata has over 50 million items of
public metadata
“childhood Obesity” dictionary created
from Wikipedia page
• <dictionary title="childobese" name="childhobese">
• <desc>hand-created from Wikipedia
https://en.wikipedia.org/wiki/Childhood_obesity PeterMR 2019-
03</desc>
• <entry wikipedia=”
https://en.wikipedia.org/wiki/Abdominal_surgery "
term="Abdominal surgery" name="Abdominal surgery"/>
• <entry wikipedia=”https://en.wikipedia.org/wiki/Adipose_tissue "
term="Adipose tissue" name="Adipose tissue"/>
• <entry
wikipedia=”https://en.wikipedia.org/wiki/American_Obesity_Associ
ation " term="American Obesity Association" name="American
Obesity Association"/>
… 100 more …
#DontLeaveItToGoogle
Peter Kraker An Open Infrastructure is essential
Or…
...Mendeley
…WebOfScience
…Scopus
… Elsevier
…Springer-Nature
https://elephantinthelab.org/google-and-research-data/
Repositories: BASE , EuropePMC
Free articles: Unpaywall
Preprints: arXiv, bioRxiv, medRxiv
Indexing: Crossref
Scraping: getpapers, quickscrape
Text analysis: OpenKnowledgeMaps, ami
OpenKnowledgeMaps
• Peter Kraker[1] and colleagues, Austria
• Open; protected against takeover by Austrian Law
• Unsupervised machine learning on Open Access
• Easy to use
• Vibrant community
• http://openknowledgemaps.org
• [1] Panton Fellow
Peter Kraker and team
http://openknowledgemaps.org
Let’s ask for “childhood obesity prevention”
ContentMine software
• Open Source, platform-independent, free
• Tutorial material [1]
• getpapers search and download [2]
• ami dictionary-based search and analysis [3]
• Explicit use of Wikipedia and Wikidata
[1] (http://github.com/petermr/tigr2ess ) example shows
crops in India but easily extensible to most disciplines
[2] Rik Smith-Unna;
http://github.com/ContentMine/getpapers, Node.js
[2] Peter Murray-Rust;
http://github.com/ContentMine/normami , Java7
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
CONTENTMINE Complete OPEN Platform for Mining Scientific Literature
getpapers
Rik Smith-Unna
To install the software see http://github.com/petermr/tigr2ess
ami for ”childhood obesity prevention”
• Builtin dictionaries for:
– Country
– Funders
– Drugs
– Disease
• Bespoke dictionary for Wikipedia “childhood obesity”
(see aboveO
• Word frequency (cloud)
Components at http://github.com/petermr/galwayecr
Wikipedia +Wikidata for “childhood
obesity”
ami-search -p . -–dictionary country disease drugs $PMR/childobese
Ami finds: embedded words and phrases
All blue links are to active documents
<- original papers. Wikipedia / wikidata ->
Co-occurrence of phrases in the document
(not necessarily semantically linked)
Chemicals (INN) and obesity terms
Mentioned In paper (not necessarily
semantically linked)
Open Thoughts for ECRs
An Open presence:
Blog, reviews, software, data resources, advocacy, activism.
Think globally. Redalyc (Latam), africarxiv
Collaborate.
Go to Open Science meetings, hacks
Imagine futures.
Have fun
Other options than becoming an academic?
Believe in yourself!
Resources :
http://sparcopen.org is probably the best starting place. Also the ECRs mentioned are very approachable.

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Early Career Reseachers and Open Healthcare

  • 1. Overview: Illustrative interactive theme Elaine Toomey [1] wants to collect published knowledge on “Childhood obesity prevention” How can we use the current literature to find answers? (PEOPLE) ECRs have fought for the right to search, and have built tools. (INFRASTRUCTURE) We’ll • search/download the literature (getpapers + EuropePMC). • Add semantics with Wikipedia and Wikidata Let’s use these to get a sample, scoping review within minutes [1] http://www.nuigalway.ie/colleges-and-schools/arts-social-sciences-and-celtic-studies/staffprofiles/elainetoomey/ (Many slides are primarily intended for reference)
  • 2. (2x digital music industry!) ContentMine is an OpenLocked Non-Profit company Mining millions of Open facts every week The Right to Read is the Right to Mine
  • 3. Oxford 2013 Berlin 2014 Delhi 2014 Jenny Molloy with mascot AMI Gita Yadav + colleagues ContentMine-ing Community
  • 4. Why Open? • Better Science (in every aspect) • Quicker • Flexible • Inclusive • Preservable • Principled
  • 5. Opening Knowledge overcomes injustice • Open comes from the heart. • Closed Access Means People Die. • Megacorporations are pwning the knowledge infrastructure/ • The Right to Read is the Right to Mine • Young people change the world. Give them the chance. • ACT: Advocacy , Community, Tools
  • 6. (ContentMine) software can do a simple triage in a few minutes Ellie: “there were 10,000 abstracts and due to time pressures, we split this between 6 researchers. It took about 2-3 days of work (working only on this) to get through ~1,600 papers each. So, at a minimum this equates to 12 days of full-time work (and would normally be done over several weeks under normal time pressures).” The Problem…
  • 7. http://chemicaltagger.ch.cam.ac.uk/ • Typical Typical scientific language Online demo of Natural Language Processing (NLP) Text => Science instantaneously … machines can help
  • 8. … machines can “understand” every phrase … can be configured for drugs, diseases, statistics
  • 10. Panton Authors and Fellows Jenny Molloy Rufus Pollock Panton Arms Pub Cambridge 2009 Panton Principles For Open Science Data Ross Mounce Sophie Kay-Kershaw Sam Smith Open publishing Peter Kraker Open Knowledge Maps Panton Fellows
  • 11. Ross Mounce Bioscientist and palaeontologist Tireless champion of Open and gadfly of publishers. When still a grad student he championed “The Right to Mine” in The European Commission, defeating the publishers’ “Licences for Europe”
  • 12. PMR’s Shuttleworth Flash Grantees • Erin McKiernan (Open Access) • Daniel Mietchen (Wikimedian) • Joe McArthur (Right to Research, SPARC) • Chris Hartgerink (Text mining) • Pinkie Chan* (Fighting land grabs in Cambodia w OpenData) • Heather Piwowar (Impact Story, Unpaywall) • Sophie Kay-Kershaw (OSTI, reproducibility) • Corina Logan (Bullied into Bad Science) • Jon Tennant (Open Science MOOC) • Lorraine Chuen (Opencon)
  • 13. Unpaywall Jason Priem Heather Piwowar https://unpaywall.org/products/extension A gamechanger. Professionally run and hopefully reaching the stage where publishers can’t afford NOT to be in unpaywall. Expect more APIs and discovery over the next year.
  • 14. KNOWLEDGE IS A PUBLIC GOOD
  • 16. ECRs often feel pressured into taking actions against our ethics to pursue an academic career (e.g., publishing in particular journals) ECRs: Sign the petition to help us change academic culture Non-ECRs: Join the supporters by valuing open practices, especially when making decisions about hiring, promotion, and grants Leading individuals and institutions in adopting open practices to improve research rigor We won’t be… Corina Logan & Laurent Gatto BIBS Leading Team: Dr. Laurent Gatto, Dr. Ross Mounce, Dr. Stephen Eglen, Dr. Adrian Currie, Dr. Lauren Maggio www.BulliedIntoBadScience.org | Twitter: #BulliedIntoBadScience
  • 17. Julia Reda, Pirate MEP, running ContentMine software to liberate science 2016-04-16
  • 18. @Senficon (Julia Reda) :Text & Data mining in times of #copyright maximalism: "Elsevier stopped me doing my research" http://onsnetwork.org/chartgerink/2015/11/16/elsevi er-stopped-me-doing-my-research/ … #opencon #TDM Elsevier stopped me doing my research Chris Hartgerink
  • 19. 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
  • 20. [email protected] @chartgerink Open (to me) is... * redistributing resources * improving (e)quality Advice * All problems nested in a bigger problem; what’s the bigger problem for what you’re trying to address? * Personal, empathetic growth is key to growing more open (email if you’d like to chat) Working on… * creating an *open* scholarly communication infrastructure that makes research fun * disregarding stakeholder engagement (promotes the already powerful players)
  • 21. 6 ContentMine Fellows for 6 months
  • 22. 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
  • 23. Alexandra Bannach-Brown To me, Open Science is… • ensuring your work transparent & reproducible • ensuring the knowledge you create is open & accessible Research Fellow in Automation of Evidence Synthesis Centre for Research in Evidence-Based Practice, Bond University ContentMine Fellow 2016: Animal Models of Depression AMI Dictionaries: Anti-depressants Automation Tools for Medical & Biomedical Reviews • SyRF (CAMARADES, Edinburgh) – SyRF.org.uk • Systematic Review Accelerator (CREBP, Bond Uni) CREBP-SRA.com & Github Contact: Twitter: @ABannachBrown Email: [email protected]
  • 24. 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.“
  • 27. Wikidata links to 100+ Wikipedias en https://www.wikidata.org/wiki/Q3241451 childhood obesit https://www.wikidata.org/wiki/Q12174 obesity https://en.wikipedia.org/wiki/Childhood_obesity CC BY-SA Wikidata.org
  • 28. Wikidata has over 50 million items of public metadata
  • 29. “childhood Obesity” dictionary created from Wikipedia page • <dictionary title="childobese" name="childhobese"> • <desc>hand-created from Wikipedia https://en.wikipedia.org/wiki/Childhood_obesity PeterMR 2019- 03</desc> • <entry wikipedia=” https://en.wikipedia.org/wiki/Abdominal_surgery " term="Abdominal surgery" name="Abdominal surgery"/> • <entry wikipedia=”https://en.wikipedia.org/wiki/Adipose_tissue " term="Adipose tissue" name="Adipose tissue"/> • <entry wikipedia=”https://en.wikipedia.org/wiki/American_Obesity_Associ ation " term="American Obesity Association" name="American Obesity Association"/> … 100 more …
  • 30. #DontLeaveItToGoogle Peter Kraker An Open Infrastructure is essential Or… ...Mendeley …WebOfScience …Scopus … Elsevier …Springer-Nature https://elephantinthelab.org/google-and-research-data/ Repositories: BASE , EuropePMC Free articles: Unpaywall Preprints: arXiv, bioRxiv, medRxiv Indexing: Crossref Scraping: getpapers, quickscrape Text analysis: OpenKnowledgeMaps, ami
  • 31. OpenKnowledgeMaps • Peter Kraker[1] and colleagues, Austria • Open; protected against takeover by Austrian Law • Unsupervised machine learning on Open Access • Easy to use • Vibrant community • http://openknowledgemaps.org • [1] Panton Fellow
  • 32. Peter Kraker and team http://openknowledgemaps.org Let’s ask for “childhood obesity prevention”
  • 33. ContentMine software • Open Source, platform-independent, free • Tutorial material [1] • getpapers search and download [2] • ami dictionary-based search and analysis [3] • Explicit use of Wikipedia and Wikidata [1] (http://github.com/petermr/tigr2ess ) example shows crops in India but easily extensible to most disciplines [2] Rik Smith-Unna; http://github.com/ContentMine/getpapers, Node.js [2] Peter Murray-Rust; http://github.com/ContentMine/normami , Java7
  • 34. 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 CONTENTMINE Complete OPEN Platform for Mining Scientific Literature
  • 35. getpapers Rik Smith-Unna To install the software see http://github.com/petermr/tigr2ess
  • 36. ami for ”childhood obesity prevention” • Builtin dictionaries for: – Country – Funders – Drugs – Disease • Bespoke dictionary for Wikipedia “childhood obesity” (see aboveO • Word frequency (cloud) Components at http://github.com/petermr/galwayecr
  • 37. Wikipedia +Wikidata for “childhood obesity”
  • 38. ami-search -p . -–dictionary country disease drugs $PMR/childobese
  • 39. Ami finds: embedded words and phrases All blue links are to active documents <- original papers. Wikipedia / wikidata ->
  • 40. Co-occurrence of phrases in the document (not necessarily semantically linked)
  • 41. Chemicals (INN) and obesity terms Mentioned In paper (not necessarily semantically linked)
  • 42. Open Thoughts for ECRs An Open presence: Blog, reviews, software, data resources, advocacy, activism. Think globally. Redalyc (Latam), africarxiv Collaborate. Go to Open Science meetings, hacks Imagine futures. Have fun Other options than becoming an academic? Believe in yourself! Resources : http://sparcopen.org is probably the best starting place. Also the ECRs mentioned are very approachable.