CDLs Path Towards Data Publishing Adoption: Community - - PowerPoint PPT Presentation

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CDLs Path Towards Data Publishing Adoption: Community - - PowerPoint PPT Presentation

Oct 31, 2023 110 likes •500 views

CDLs Path Towards Data Publishing Adoption: Community Infrastructure John Chodacki, UC Curation Center (UC3) Looking Inward: Self Assessment Last year... Institutions build or buy general data repositories (a.k.a. data IRs, non-domain

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CDL’s Path Towards Data Publishing Adoption: Community Infrastructure

John Chodacki, UC Curation Center (UC3)

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Looking Inward: Self Assessment

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Last year...

Institutions build or buy general data repositories (a.k.a. data IRs, non-domain data repositories, campus data solutions)

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What we learned

Tools are not researcher centric Focus on tools has distracted community from our adoption efforts Researchers do not think at the institutional level We have to meet researchers where are they are at within their workflows

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Evaluating Our Success

❌ # of Deposits ❌ Awareness in the researcher community ❌ Integration into workflows ❌ Simplified story of value proposition

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1. Commercialization of this space continues 2. Research data services/investments are unaffordable with library budgets 3. Researchers have continued to deposit where publishers refer them 4. Our focus, rightly so, has been on community infrastructure for articles

Meanwhile....

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Community Infrastructure

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Principles for Open Scholarly Infrastructures

Bilder G, Lin J, Neylon C (2015) Principles for Open Scholarly Infrastructure-v1, http://dx.doi.org/10.6084/m9.figshare.1314859

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Supporter Community Values

  • 6. Respect multiple solutions
  • 7. Stick to your scope
  • 8. Leverage communal wisdom to move

quickly

  • 9. Encourage healthy skepticism
  • 10. Collaborate and be stronger together

Full book available: supporters.guide - @supportersguide

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Effective support to the research community does not always mean building new or more tools

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Looking Outward: Community Success

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Dryad

  • Researcher supported and adopted
  • Curation for FAIR data & compliance on every dataset
  • Embedded in researchers workflows
  • Open source & non-profit
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Dryad: leader in open data publishing

90,000 researchers 24,500 data submissions 2100 international institutions 700+ academic journals represented Curation checks on every submission

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We Are Launching a New Dryad Service!

★ New product development team ★ Migrating classic Dryad onto open-source, nimble CDL technology ★ Transparent reporting and curation with administrative layer ★ Enhanced submission features: publisher integrations

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We are launching a new community model

  • Dryad is building an institutional membership community
  • Dryad will be supporting a new set of institutional features
  • Institutions can support curated research data publishing

where researchers are already depositing

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Our Values

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We are researcher centered

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We are adoption focused

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Call to Action

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We are an institutional community who support data curation, data publishing, and data preservation adoption. We should effectively band together and support community-owned research data infrastructure!

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It is not about technology. It is about meeting researchers where they are at and building global, sustainable, centralized approaches to achieve adoption.

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Values translated to features

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New Dryad Platform

❏ Leverages a Core Trust Seal Certified Preservation Repository ❏ Technology is standards-based: ❏ SWORD, OAI-PMH, Schema.org ❏ DataCite schema, ORCiD login/co-author ORCiDs, Funder Registry, Versioning ❏ Large datasets accepted via cloud manifest ❏ Submission and Download APIs ❏ Administration and curation layer ❏ Standardized data usage and citation metrics (Make Data Count)

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Dryad Curation

  • Metadata and file checking on every submission
  • Team of expert curation staff
  • Plugging into institutional data curators
  • Modified checks and policies enforced for publishers
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Seamless Deposits

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Publisher Integrations

  • Deposit of data at same time as article
  • Researcher never has to leave article submission system
  • Privacy during peer review
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Transparency & Reporting

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Discoverability & Usability

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Compliance

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Compliance

  • FAIR Data: Curation
  • Funder Requirements:

○ CoreTrustSeal, FAIR Data, Preservation

  • Publisher Policies:

○ Private during peer review, published alongside article, citations

  • Institutional Values: [Your Input Here!]
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What sets Dryad apart?

  • Focus: ease of deposit and user centered
  • Goal: drive adoption of curated, compliant, research data

publishing

  • Features: innovations to uphold our goals & values