Our Data Quality Fall 2024 Campaign has officially begun!
For all stakeholders in the research ecosystem, poor metadata poses significant risks and knock-on effects to research integrity, discoverability, and operational excellence.
Good quality metadata empowers stakeholders, and based on our core values of Trust, Collaboration, and Efficiency we launched the Data Quality Challenge in 2023, to call on the community to revolutionise publication (meta)data management.
Read more in our September 2024 blog post.
The focus of our current campaign is specifically on publishers
For publishers, high quality metadata are the building blocks to any commercial arrangement and business modelling. The consequences of not addressing metadata issues are significant: alongside the well documented impact on discovery, usage, and impact, publishing values will be undermined, reputations damaged, and business opportunities jeopardized. In summary the risks of poor metadata practices are (in alphabetical order):
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Harder contract negotiations and custom dissatisfaction
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Loss of control in the open data ecosystem
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Misattribution of scholarly work
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Non-compliance with industry standards
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Operational burden and higher cost
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Reduced discoverability, usage, impact and submissions
Go here for more insights.
Now the good news…
We have talked about the risks, but let's summarise the benefits for publishers of investing in improving metadata quality:
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Business Insights: Enhanced management information and better opportunities for portfolio management
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Customer Insights: Greater insights into your customers and authors
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Stakeholder and Customer Support: Improved services for research funders, institutions, and consortia
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System Integration: Full integration into the scholarly communications ecosystem, resulting in greater potential impact
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Research Integrity: Support for upstream editorial and research integrity objectives and thus better support for your authors
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Discoverability: Enhanced visibility to improve readership and citation
Our Data Quality Fall 2024 Campaign has officially begun!
Join us and commit to improving metadata quality for all.
Data Quality Challenge information below created: October 2023
The Data Quality Challenge calls on the community to revolutionise publication (meta)data management by standardising information provided by publishers and allowing stakeholders to consolidate and process data efficiently.
By enhancing data quality and completeness research funders, institutions, consortia, and publishers will be empowered to make informed decisions based on accurate and robust information.
This initiative is enabled by OA Switchboard and builds upon community-wide lessons learned and best practices and is based on the core values of the OA Switchboard of Trust, Collaboration, and Efficiency.
Your path to continuous improvement starts here.
Aims
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To work collaboratively across the community to improve publication (meta)data quality and completeness.
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To standardise the provision of data across publishers to ease consolidation and processing.
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To empower the community to make evidence-based decisions.
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To increase efficiencies across the community.
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To make this a continuous improvement process to meet emerging standards as the industry moves forward.
The overall goals of the Data Quality Challenge are to:
Standardise & Aggregate:
Ensure the publisher community is providing data in the same format, to make collection and self-storage by research funders and institutions more efficient and trustworthy.
Import & Analyse:
Allow the community to create meaningful analyses and their own reporting out of the data provided, and also enable them to import this data into their own systems to have correct and complete records.
Enhance:
Enable the community to enhance and develop the data provided by publishers to support further internal workflows, decision-making and reporting.
For Publishers: Lead the way by committing to continuous
data improvements
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Demonstrate support for this collaborative, cross industry initiative and create positive brand associations
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Invest in your future by committing to continuous data improvements
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Increase efficiencies – get it right first-time round, cheaper and more efficient than fixing it later
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Improve internal management information
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Develop more effective integration with the complex OA ecosystem.
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Improve customer relations by supporting their data needs
For Research Funders and Institutions:
Join the collaborative effort and achieve change
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Be part of the solution to improve data quality and completeness
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Be part of the future for collaborative, cross industry progress
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Support the call to action by communicating to publishers the problems experienced by inaccurate and non-standardised data
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Promote OA Switchboard to publishers and tell them about the Data Quality Challenge
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Encourage your publishers to collaborate by explaining how improved data also benefits themselves