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Workflow and Manuscript 
Contributor Role Tagging 
Richard Wynne 
VP Sales and Marketing 
Aries Systems Corporation
Competing Interests 
Funders and Institutions want: 
• Structured Data 
• Accurate Data 
• Granular Data 
Authors want: 
• To focus on the research 
• Freedom to prepare the 
manuscript however they want 
• Quick, easy submission with low 
administrative overhead
Conflicting Messages 
“Why can’t publishers provide more, clean data?” 
Funders and Institutions 
“Why do publishers keep asking us for all this stuff?” 
Authors 
Context: 
Publishers 
Peer Review Systems 
• Publishers’ “value add” questioned 
• Downward pressure on APCs and subscription prices resulting in cost constraints 
• Assumptions about technology
Data Quantity – No End in Sight 
• Conflict of interest 
• Funding sources 
• Disclosures 
• Animal research 
• Statistical methods 
• Data sets 
• Ethics statements 
• Contributor ID (ORCID) 
• Institutional ID (e.g. Ringgold) 
• Credentials 
• Methodologies 
• Protocols 
• Authors and Co-contributors 
• Plagiarism checking 
• Identity validation 
• License data 
• Most of this has to be entered by humans in a timely manner
Data Structure 
THE PAST: Flat, Static, Indexed, 
Data based on Single Primary 
Object (the Manuscript) 
Manuscript 
Title 
Authors 
Abstract 
…etc. 
THE FUTURE: Relational, 
Dynamic with Multiple 
Objects 
Manuscript 
Funder 
Contributor 
Taxonomy 
Institution 
Contributors
Contributor Taxonomy 
Creating a Useful Solution 
• Defining the taxonomy 
• Integration with peer review systems 
– Workflow questions 
• Integration with production systems 
• Integration with composition 
• Integration with discovery tools 
• Operating costs per manuscript
Collecting Contributor Data
Adding the Taxonomy
Workflow Models and Considerations 
• Submitting author unilaterally assigns tags on behalf of all 
contributors: 
– Simplest front-end approach 
– Burden on submitting author 
– Downstream contention possible 
• Tags assigned by submitting author and “confirmed” by contributors: 
– Highest fidelity 
• Each contributor assigns their own tags 
– Shared burden 
– “Democratic” 
• What point in the workflow? (Initial submission, Revision, Final 
acceptance). Mandatory or optional? 
• Reporting, chasing, exception handling, output.. 
• What article types? Different for different article types?
More Questions 
• Are all Contributors “Authors” for publication workflow 
purposes? Implications? Confusing with 
acknowledgements, credits? 
• Deceased Contributors? 
• Contributor conflicts 
• Cultural influences 
• Contributor groups 
• Corrections 
• Historical consistency (e.g. tag no longer used)
Summary 
• Manuscript contributor tagging beneficial to 
the scholarly process, and to many consumers 
of scholarly manuscripts 
• Technologically viable? 
• Operationally viable? 
• Economically viable? (Start up cost funding. 
Operating cost funding)
Workflow and Manuscript 
Contributor Role Tagging 
Richard Wynne 
VP Sales and Marketing 
Aries Systems Corporation

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Project Credit: Richard Wynne - Workflow and Manuscript Contributor Role Tagging

  • 1. Workflow and Manuscript Contributor Role Tagging Richard Wynne VP Sales and Marketing Aries Systems Corporation
  • 2. Competing Interests Funders and Institutions want: • Structured Data • Accurate Data • Granular Data Authors want: • To focus on the research • Freedom to prepare the manuscript however they want • Quick, easy submission with low administrative overhead
  • 3. Conflicting Messages “Why can’t publishers provide more, clean data?” Funders and Institutions “Why do publishers keep asking us for all this stuff?” Authors Context: Publishers Peer Review Systems • Publishers’ “value add” questioned • Downward pressure on APCs and subscription prices resulting in cost constraints • Assumptions about technology
  • 4. Data Quantity – No End in Sight • Conflict of interest • Funding sources • Disclosures • Animal research • Statistical methods • Data sets • Ethics statements • Contributor ID (ORCID) • Institutional ID (e.g. Ringgold) • Credentials • Methodologies • Protocols • Authors and Co-contributors • Plagiarism checking • Identity validation • License data • Most of this has to be entered by humans in a timely manner
  • 5. Data Structure THE PAST: Flat, Static, Indexed, Data based on Single Primary Object (the Manuscript) Manuscript Title Authors Abstract …etc. THE FUTURE: Relational, Dynamic with Multiple Objects Manuscript Funder Contributor Taxonomy Institution Contributors
  • 6. Contributor Taxonomy Creating a Useful Solution • Defining the taxonomy • Integration with peer review systems – Workflow questions • Integration with production systems • Integration with composition • Integration with discovery tools • Operating costs per manuscript
  • 9. Workflow Models and Considerations • Submitting author unilaterally assigns tags on behalf of all contributors: – Simplest front-end approach – Burden on submitting author – Downstream contention possible • Tags assigned by submitting author and “confirmed” by contributors: – Highest fidelity • Each contributor assigns their own tags – Shared burden – “Democratic” • What point in the workflow? (Initial submission, Revision, Final acceptance). Mandatory or optional? • Reporting, chasing, exception handling, output.. • What article types? Different for different article types?
  • 10. More Questions • Are all Contributors “Authors” for publication workflow purposes? Implications? Confusing with acknowledgements, credits? • Deceased Contributors? • Contributor conflicts • Cultural influences • Contributor groups • Corrections • Historical consistency (e.g. tag no longer used)
  • 11. Summary • Manuscript contributor tagging beneficial to the scholarly process, and to many consumers of scholarly manuscripts • Technologically viable? • Operationally viable? • Economically viable? (Start up cost funding. Operating cost funding)
  • 12. Workflow and Manuscript Contributor Role Tagging Richard Wynne VP Sales and Marketing Aries Systems Corporation