Session 1A: Detecting Misconduct - EASE · Session 1A: Detecting Misconduct. Speakers Rachael...
Transcript of Session 1A: Detecting Misconduct - EASE · Session 1A: Detecting Misconduct. Speakers Rachael...
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Session 1A: Detecting Misconduct
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Speakers
Rachael Lammey, Crossref
Sioux Cumming, INASP
Chris Palmer, Lancet statistical reviewer
Sun Huh, Hallym University
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Text-screening. An Update on the Crossref Similarity Check service
13th EASE Conference
Rachael LammeyMember & Community Outreach@CrossrefOrg
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What’s in a name?
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What’s in a name?• CrossCheck —> Crossref Similarity Check
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What’s in a name?• CrossCheck —> Crossref Similarity Check• More cohesive approach to naming and branding: the aim is to
stem confusion and provide clear messages and useful resources
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What’s in a name?• CrossCheck —> Crossref Similarity Check• More cohesive approach to naming and branding: the aim is to
stem confusion and provide clear messages and useful resources• Across whole Crossref portfolio
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What’s in a name?• CrossCheck —> Crossref Similarity Check• More cohesive approach to naming and branding: the aim is to
stem confusion and provide clear messages and useful resources• Across whole Crossref portfolio• See blog: http://blog.crossref.org/2016/04/brand-guide-names-
logos.html
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What’s in a name?• CrossCheck —> Crossref Similarity Check• More cohesive approach to naming and branding: the aim is to
stem confusion and provide clear messages and useful resources• Across whole Crossref portfolio• See blog: http://blog.crossref.org/2016/04/brand-guide-names-
logos.html • So while it may be a bit of a pain short term it will be worth it!
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Similarity Check Database
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Similarity Check Database
•What are papers checked against?
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Similarity Check Database
•What are papers checked against?• 49 million items from over 800 Crossref member
publishers
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Similarity Check Database
•What are papers checked against?• 49 million items from over 800 Crossref member
publishers• Actively working to improve the speed and
comprehensiveness of indexing
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Similarity Check Database
•What are papers checked against?• 49 million items from over 800 Crossref member
publishers• Actively working to improve the speed and
comprehensiveness of indexing• 105 million items from other content partners like
Pearson, McGraw Hill, Cengage, EBSCOHost
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Similarity Check Database
•What are papers checked against?• 49 million items from over 800 Crossref member
publishers• Actively working to improve the speed and
comprehensiveness of indexing• 105 million items from other content partners like
Pearson, McGraw Hill, Cengage, EBSCOHost•Over 60 billion web pages archived back nearly a
decade
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050000
100000150000200000250000300000350000400000
May-15
Jun-15
Jul-15
Aug-15
Sep-15
Oct-15
Nov-15
Dec-15
Jan-16
Feb-16
Mar-16
Apr-16
DocumentsChecked
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Using the Service
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Using the Service
• Similarity Check is a useful service for Crossref members
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Using the Service
• Similarity Check is a useful service for Crossref members
• Publishers and editors are using the service in increasingly sophisticated ways
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Using the Service
• Similarity Check is a useful service for Crossref members
• Publishers and editors are using the service in increasingly sophisticated ways
• But…people want it to do more!
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76%
2%
12%
10%
HaveyoudetectedanyplagiarisedcontentusingCrossCheck?
Yes WeuseCrossChecktocheckconcernsalreadyraisedbyeditors Notsure No
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Can you comment on how much suspected plagiarism you are finding? Was the level surprising or at an expected level?
• A surprising amount of self-plagiarism.
• Direct copy and pasting of sentences or even whole paragraphs is more common than I would have thought.
• There are a high number of occasions when the author has cited an outside work, but not indicated that it is a direct, word for word quote.
• I've been pleased how few badly plagiarized manuscripts we receive. It is more 'patchy' where copying occurs.
• Small plagiarism (copying less than 100 words, or patch writing) can be found in every articles, and it was an expected level, although whether they are acceptable of not is a matter of great concern.
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How are people using it?
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How are people using it?
Publishers putting time and effort into their plagiarism policies
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)• Cost
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)• Cost• Workflow
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)• Cost• Workflow• What will you look for & how will you look for it?
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)• Cost• Workflow• What will you look for & how will you look for it?• Education
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How are people using it?
Publishers putting time and effort into their plagiarism policies
• Resources (staff & time)• Cost• Workflow• What will you look for & how will you look for it?• Education• Follow-up actions
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Education > Punishment
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Developing the Service
28%$
17%$
14%$
10%$
8%$
7%$
6%$6%$ 4%$
Do#you#feel#any#aspects#of#the#iThen2cate#tool#could#be#improved?##
Ability$to$compare$figures,$tables$or$equa=ons$ Ability$to$check$two$documents$against$each$other$
More$comprehensive$database$to$search$against$ Translated$matching$of$text$
Clearer$similarity$reports$ Faster$genera=on$of$reports$
BeKer$integra=on$with$online$submission$and$peer$review$systems$ Other$
BeKer$publisherMlevel$repor=ng$
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Thank you!