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April, 2019
Metadata En Croûte
Making metadata appetizing
to decision makers
Fiona Counsell, Taylor & Francis
Sushi Dish With Vegetable by
Pixabay CC0 from Pexels
Metadata is important!
Metadata: Tech or business concern?
...contributing to
delicious dishes of
powerful and effective
business needs
Metadata technology
provides raw
ingredients...
workflows micro-payments compliance reportingbusiness development
Five White Plates With Different Kinds of
Dishes by Pixabay CC0 from Pexels
Spices Avocado and Ingredients on Table by
mali maeder CC0 from Pexels
What is Metadata 2020?
A collaboration that advocates research
output metadata that is
to advance scholarly pursuits for the benefit
of society.
RICHER
fuels discoverability &
innovation
CONNECTED
bridges gaps between
systems & communities
REUSABLE / OPEN
eliminates duplication of
effort
Community-identified challenges
Metadata entry
takes time, and
must be entered
multiple times
Establishing streamlined,
efficient workflows for metadata
is challenging - siloed expertise
& unclear prioritization
Low adoption of metadata
efforts creates a tension
between quantity & quality
of metadata
RESEARCHERS
PUBLISHERS
REPOSITORIES
Metadata culture is often
focused on technical details
rather than the bigger
system-level picture
LIBRARIANS
Interoperability is
challenging:
inconsistent metadata
vocabulary and
community standards
SERVICE PROVIDERS
● Communities have similar problems and similar
solutions available if they collaborate
● Efforts have been made to address challenges within
each community, but few efforts have been truly cross-
community
● We hope to increase effectiveness and efficiency and
avoid duplication of work
Projects
● Having identified core concerns for multiple communities, we
formed 6 closely related projects in March 2018
● The projects were designed to address the concerns of the
community groups
● Projects include participants from different communities
Components of a great dish
Metadata Mapping and Evaluation
● Metadata recommendations & element mappings
● Metadata evaluation & guidance
PLANNINGPREPARINGPRESENTATION
Best Practice, Principles, and Definitions for
Metadata
● Defining the terms we use about metadata
● Best practices & principles
Researcher Communications & Incentives for
Improving Metadata
● Researcher communications
● Incentives for improving metadata quality
Photo by Stokpic from Pexels
Photo by rawpixel.com from Pexels
Photo by Daria Shevtsova from Pexels
Metadata Mapping and Evaluation
Metadata Recommendations & Element Mappings
Group Lead: Jim Swainston, Emerald Group Publishing
Purpose: To converge communities and publishers towards a
shared set of recommended metadata concepts with related
mappings between those recommended concepts and elements in
important dialects.
Outputs
● Schema index
● Schema mapping
● Flow diagram
Metadata Evaluation and Guidance
Group Lead: Ted Habermann, Metadata Game Changers
Purpose: To identify and compare existing metadata evaluation
tools and mechanisms for connecting the results of those
evaluations to clear, cross-community guidance.
Outputs
● Index of evaluation tools
● Element-level best practice notes
● Best practices index
Best Practice, Principles & Definitions
Defining the Terms We Use About Metadata
Group Lead: Scott Plutchak, University of Alabama at
Birmingham (retired)
Purpose: In order to communicate effectively about anything, a
common language must be acknowledged, tacitly or purposefully.
In the metadata space, there is not agreement on what words like
property, term, concept, schema, title refer to. This project will
develop a glossary of words associated with metadata, both for
core concepts and disciplinary areas.
Outputs
● Global metadata glossary
Shared Best Practices and Principles
Group Leads: Howard Ratner, CHORUS; and Jennifer Kemp,
Crossref
Purpose: To build a set of high level best practices for using
metadata across the scholarly communication cycle, in order to
facilitate interoperability and easier exchange of information and
data across the stakeholders in the process.
Outputs
● Links to best practices & guidelines
● Metadata principles
● Metadata practices / sentiments (principles preamble)
Researcher Communications & Incentives
Researcher Communications
Group Lead: Alice Meadows, ORCID; Michelle Urberg,
ProQuest
Purpose: Exploring ways to align efforts between communities
who aim to increase the impact and consistency of
communication with researchers about metadata.
Outputs
● Literature Review
● Survey Results
Incentives for Improving Metadata Quality
Group Lead: Fiona Counsell, Taylor & Francis
Purpose: To highlight downstream applications and value of
metadata for all parts of the community, telling real stories as
evidence of how better metadata will meet their goals.
Outputs
● Metadata personas
● Big benefits
The Metadata2020 Incentives Pyramid
Advancing
Research
Impact Innovation
Discoverability Accessibility
Reducing
Friction Integrity & Trust
Metadata Big Benefits
Discoverability
● Discoverability of research maximises dissemination to create impact
● High-quality metadata = topic content discovery
● Metadata links diverse content & outputs > Connections! Discoveries!
Accessibility
● High-quality metadata provides accessibility to research results
● high quality metadata utilising standards enables
○ Curation and custodianship
○ Long-term preservation
○ Machine & human readability
Metadata Big Benefits
Reducing Friction
● Metadata standards enable system interoperability
● Interoperability enables efficiency in people and processes
● Greater efficiency leads to higher productivity
● Standards and interoperable systems reduce administrative burden
Integrity & Trust
● Communities will preserve, protect and enhance trust in research
● Research transparency is key to building credibility and integrity
● Provenance metadata > resources people involved; chain of custody
● Metadata enables reproducibility of research data
Metadata Big Benefits
Impact
● Communities/ organisation measure impact differently
● All want to position themselves to stay ahead of technology,
opportunities & competitors
● Investment = benefits + increased leadership/ service reputation
Innovation
● Benefits lead to greater innovation
● New services and business models for existing & start-up orgs
● Catalyst for innovation within research itself
○ New research result trends and connections
○ Increased trust and trust indicators across scientific communities
○ Research method innovation via large scale text and data mining
Metadata Principles
For metadata to support the community, it should be
COMPATIBLE: a guide to content for machines and people
So, metadata must be open, interoperable, parsable, machine
actionable, human readable as possible.
COMPLETE: reflect the content, components and relationships as
published
So, metadata must be as complete and comprehensive as possible.
CREDIBLE: enable content discoverability and longevity
So, metadata must be of clear provenance, trustworthy and accurate.
CURATED: reflect updates and new elements
So, metadata must be maintained over time.
Personas
● Creators
Those who provide descriptive information (metadata) about research
and scholarly outputs
● Curators
Those who classify, normalize and standardize this descriptive
information to increase its value as a resource
● Custodians
Those who store and maintain this descriptive information and make it
available for Consumers
● Consumers
Those who knowingly or unknowingly use the descriptive information to
find, discover, connect and cite research and scholarly outputs
Adopt a persona
● What innovations do you wish were available for this
role?
● What impact do you think would come from
better/easier fulfilment of this role?
● What incentives would make it more desirable to
perform this role?
Creators | Curators | Custodians | Consumers
Record your thoughts
http://bit.ly/M2020_UKSGPresentationNOTES
How well served are you?
Importance
How important is the
attribute?
Least
Most
Well served?
How well do current tools
and process serve you?
Not at all Very
Attribute 1 3 5 1 3 5
Metadata Credibility/Accuracy - how correct and
understandable the information I provide/use is
◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯
Metadata Completeness - how complete the
information is can be compared to the available fields
◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯
Metadata Compatibility - how compatible the
information I provide/use is to metadata found about
other outputs, including ones submitted by others
◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯
Metadata Curation/Maintainability - how the
metadata that I provide/use is maintained over time
◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯
Record your thoughts
http://bit.ly/M2020_UKSGPresentationNOTES
Can you help?
● Over 140 individuals are involved in Metadata 2020
● Contribute to Metadata 2020 projects!
Email info@metadata2020.org for details
● Help promote our efforts to the wider community through
your organizations, and social media
● Respond the the survey, circulate the survey to your
colleagues/researchers
● Find us on @Metadata2020 Twitter, Facebook, LinkedIn,
and at metadata2020.org
Metadata2020.org
@metadata2020
info@metadata2020.org
@fionacounsell
fiona.counsell@tandf.co.uk
Thank you!
Questions

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Metadata En Croûte: How to make metadata more appetizing to decision makers

  • 1.
  • 2. April, 2019 Metadata En Croûte Making metadata appetizing to decision makers Fiona Counsell, Taylor & Francis
  • 3. Sushi Dish With Vegetable by Pixabay CC0 from Pexels
  • 5. Metadata: Tech or business concern? ...contributing to delicious dishes of powerful and effective business needs Metadata technology provides raw ingredients... workflows micro-payments compliance reportingbusiness development Five White Plates With Different Kinds of Dishes by Pixabay CC0 from Pexels Spices Avocado and Ingredients on Table by mali maeder CC0 from Pexels
  • 6. What is Metadata 2020? A collaboration that advocates research output metadata that is to advance scholarly pursuits for the benefit of society. RICHER fuels discoverability & innovation CONNECTED bridges gaps between systems & communities REUSABLE / OPEN eliminates duplication of effort
  • 7. Community-identified challenges Metadata entry takes time, and must be entered multiple times Establishing streamlined, efficient workflows for metadata is challenging - siloed expertise & unclear prioritization Low adoption of metadata efforts creates a tension between quantity & quality of metadata RESEARCHERS PUBLISHERS REPOSITORIES Metadata culture is often focused on technical details rather than the bigger system-level picture LIBRARIANS Interoperability is challenging: inconsistent metadata vocabulary and community standards SERVICE PROVIDERS
  • 8. ● Communities have similar problems and similar solutions available if they collaborate ● Efforts have been made to address challenges within each community, but few efforts have been truly cross- community ● We hope to increase effectiveness and efficiency and avoid duplication of work
  • 9. Projects ● Having identified core concerns for multiple communities, we formed 6 closely related projects in March 2018 ● The projects were designed to address the concerns of the community groups ● Projects include participants from different communities
  • 10. Components of a great dish Metadata Mapping and Evaluation ● Metadata recommendations & element mappings ● Metadata evaluation & guidance PLANNINGPREPARINGPRESENTATION Best Practice, Principles, and Definitions for Metadata ● Defining the terms we use about metadata ● Best practices & principles Researcher Communications & Incentives for Improving Metadata ● Researcher communications ● Incentives for improving metadata quality Photo by Stokpic from Pexels Photo by rawpixel.com from Pexels Photo by Daria Shevtsova from Pexels
  • 11. Metadata Mapping and Evaluation
  • 12. Metadata Recommendations & Element Mappings Group Lead: Jim Swainston, Emerald Group Publishing Purpose: To converge communities and publishers towards a shared set of recommended metadata concepts with related mappings between those recommended concepts and elements in important dialects. Outputs ● Schema index ● Schema mapping ● Flow diagram
  • 13. Metadata Evaluation and Guidance Group Lead: Ted Habermann, Metadata Game Changers Purpose: To identify and compare existing metadata evaluation tools and mechanisms for connecting the results of those evaluations to clear, cross-community guidance. Outputs ● Index of evaluation tools ● Element-level best practice notes ● Best practices index
  • 14. Best Practice, Principles & Definitions
  • 15. Defining the Terms We Use About Metadata Group Lead: Scott Plutchak, University of Alabama at Birmingham (retired) Purpose: In order to communicate effectively about anything, a common language must be acknowledged, tacitly or purposefully. In the metadata space, there is not agreement on what words like property, term, concept, schema, title refer to. This project will develop a glossary of words associated with metadata, both for core concepts and disciplinary areas. Outputs ● Global metadata glossary
  • 16. Shared Best Practices and Principles Group Leads: Howard Ratner, CHORUS; and Jennifer Kemp, Crossref Purpose: To build a set of high level best practices for using metadata across the scholarly communication cycle, in order to facilitate interoperability and easier exchange of information and data across the stakeholders in the process. Outputs ● Links to best practices & guidelines ● Metadata principles ● Metadata practices / sentiments (principles preamble)
  • 18. Researcher Communications Group Lead: Alice Meadows, ORCID; Michelle Urberg, ProQuest Purpose: Exploring ways to align efforts between communities who aim to increase the impact and consistency of communication with researchers about metadata. Outputs ● Literature Review ● Survey Results
  • 19. Incentives for Improving Metadata Quality Group Lead: Fiona Counsell, Taylor & Francis Purpose: To highlight downstream applications and value of metadata for all parts of the community, telling real stories as evidence of how better metadata will meet their goals. Outputs ● Metadata personas ● Big benefits
  • 20. The Metadata2020 Incentives Pyramid Advancing Research Impact Innovation Discoverability Accessibility Reducing Friction Integrity & Trust
  • 21. Metadata Big Benefits Discoverability ● Discoverability of research maximises dissemination to create impact ● High-quality metadata = topic content discovery ● Metadata links diverse content & outputs > Connections! Discoveries! Accessibility ● High-quality metadata provides accessibility to research results ● high quality metadata utilising standards enables ○ Curation and custodianship ○ Long-term preservation ○ Machine & human readability
  • 22. Metadata Big Benefits Reducing Friction ● Metadata standards enable system interoperability ● Interoperability enables efficiency in people and processes ● Greater efficiency leads to higher productivity ● Standards and interoperable systems reduce administrative burden Integrity & Trust ● Communities will preserve, protect and enhance trust in research ● Research transparency is key to building credibility and integrity ● Provenance metadata > resources people involved; chain of custody ● Metadata enables reproducibility of research data
  • 23. Metadata Big Benefits Impact ● Communities/ organisation measure impact differently ● All want to position themselves to stay ahead of technology, opportunities & competitors ● Investment = benefits + increased leadership/ service reputation Innovation ● Benefits lead to greater innovation ● New services and business models for existing & start-up orgs ● Catalyst for innovation within research itself ○ New research result trends and connections ○ Increased trust and trust indicators across scientific communities ○ Research method innovation via large scale text and data mining
  • 24. Metadata Principles For metadata to support the community, it should be COMPATIBLE: a guide to content for machines and people So, metadata must be open, interoperable, parsable, machine actionable, human readable as possible. COMPLETE: reflect the content, components and relationships as published So, metadata must be as complete and comprehensive as possible. CREDIBLE: enable content discoverability and longevity So, metadata must be of clear provenance, trustworthy and accurate. CURATED: reflect updates and new elements So, metadata must be maintained over time.
  • 25. Personas ● Creators Those who provide descriptive information (metadata) about research and scholarly outputs ● Curators Those who classify, normalize and standardize this descriptive information to increase its value as a resource ● Custodians Those who store and maintain this descriptive information and make it available for Consumers ● Consumers Those who knowingly or unknowingly use the descriptive information to find, discover, connect and cite research and scholarly outputs
  • 26. Adopt a persona ● What innovations do you wish were available for this role? ● What impact do you think would come from better/easier fulfilment of this role? ● What incentives would make it more desirable to perform this role? Creators | Curators | Custodians | Consumers Record your thoughts http://bit.ly/M2020_UKSGPresentationNOTES
  • 27. How well served are you? Importance How important is the attribute? Least Most Well served? How well do current tools and process serve you? Not at all Very Attribute 1 3 5 1 3 5 Metadata Credibility/Accuracy - how correct and understandable the information I provide/use is ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ Metadata Completeness - how complete the information is can be compared to the available fields ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ Metadata Compatibility - how compatible the information I provide/use is to metadata found about other outputs, including ones submitted by others ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ Metadata Curation/Maintainability - how the metadata that I provide/use is maintained over time ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ ◯ Record your thoughts http://bit.ly/M2020_UKSGPresentationNOTES
  • 28. Can you help? ● Over 140 individuals are involved in Metadata 2020 ● Contribute to Metadata 2020 projects! Email info@metadata2020.org for details ● Help promote our efforts to the wider community through your organizations, and social media ● Respond the the survey, circulate the survey to your colleagues/researchers ● Find us on @Metadata2020 Twitter, Facebook, LinkedIn, and at metadata2020.org

Editor's Notes

  1. Beginnings: Research was conducted in 2019-17 through interviews with people across all communities This work confirmed a need for better understand of the importance of metadata in multiple communities in scholarly communications. “Metadata is the means to the end, not the goal. We need to demonstrate the importance of the interconnected whole.” - Metadata 2020 interviewee The danger of standards: Metadata 2020 is NOT about standards! “Standards are like toothbrushes; everybody likes the idea of them but everybody wants to use their own.” - Anon Comic: HOW STANDARDS PROLIFERATE: SITUATION: There are 14 competing standards “14?! Ridiculous! We need to develop one universal standard that covers everyone’s use cases.” Soon… SITUATION: There are 15 competing standards source xkcd.com/927 (CC BY-NC 2.5)
  2. Based on interviews, we heard challenges as perceived by those in different parts of the community
  3. Discoverability Researchers and the broad scholarly communications community want to drive global and comprehensive dissemination of research results. Discoverability of research maximises dissemination to create impact. High-quality metadata ensures that researchers, practitioners and policy makers discover topic content. Quality metadata links diverse content and outputs, enabling connections and amplified research discoveries. Accessibility The diverse communities in scholarly communications rely on high-quality metadata to effectively implement accessibility to research results. The acts of curation and custodianship, long-term preservation, machine readability, human readability all rely on high quality metadata utilising standards
  4. Reducing Friction Machine readable metadata standards enable interoperability between systems. Interoperability enables efficiency in people and processes for outputs. Greater efficiency leads to higher productivity for all. ‘Capture once’ and automated processes depend on standards and interoperable systems, and are key to reducing administrative burden. Integrity & Trust Communities are strongly motivated to preserve, protect and enhance integrity trust in the research process. Research transparency is key to building credibility and integrity. Provenance metadata exposes resources used and people involved, and the chain of custody of information. Metadata enables reproducibility of research data and understanding how to use and validate it
  5. Impact Each community and organisation will define and measure impact slightly different depending on mission. It might be commercial advantage, operational efficiency, cost savings or simply making better decisions. However, all scholarly communications organisations share the same desire to position themselves for the future and not get left behind by technology, opportunities or competitors. Through investing in quality metadata organisations can take advantage of the benefits above and build their reputation for leadership and community service. Innovation All of the above benefits of improving metadata quality can lead to greater innovation within organisations and scholarly communications itself. Quality metadata gives potential for new services and business models for both existing organisations and new start-ups. Quality metadata can also be a catalyst for innovation within research itself. It enables hitherto unrecognised trends and connections between research results, and provides the evidence of trust and trust indicators across different scientific communities. Metadata can enable innovation in research method by facilitating large scale text and data mining. All of which leads to the ultimate benefit of improving metadata quality…