@openaire_eu OpenREL Workshop Rights and Value Flows in Open Science 1 A Hands-on Simulation on Rights Expression, Compliance & Value Return Prodromos Tsiavos(OpenAIRE) · Wim Hugo(DANS) · Melios Katsamakis(OpenAIRE) · Deborah Thorpe(DANS) · Sotiris Minogiannis OSFAIR 2025 – CERN Science Gateway – Geneva 16 September 2025
Key items and components ●Value Matters ●Stakeholders ●Sharing is Caring ●Challenges ●OpenREL ●Workshop Framing ●Discussion 2
Who Are We? https://app.sli.do/event/e2SsXiLTsYNZZbg2RU3g1q/embed/poll s/7bbb015b-6ffd-4f25-9d56-406be37fce93 3
Value Matters ●Increasingly research results are read / accessed not just by humans (H) but (mostly) by non-humans (NH) ●Google Zero effect ●The raise of Agenting Research Assistants ●How is value understood - explicated and expressed at a H-NH environment ●How does value return to the different stakeholders in the research production, storage, dissemination and consumption chain 4
Stakeholders ●Research Funding Organisations (RFOs) as a source of rules ●Research Performing Organisations (RPOs) as a collector and an infrastructure ●The Researcher and the Research team ●LLM producers and providers 5
What's the key value goal for you? https://app.sli.do/event/e2SsXiLTsYNZZbg2RU3g1q/embed/poll s/5a6f439b-4b6f-4687-ae80-62e4007f14da 6
Sharing is caring (but is changing) Need: ●to incorporate rights structure in the science production life-cycle ●to go beyond copyright: ○Personal Data (GDPR) ○Ethics (AI ethics frameworks) ○Third party rights (contractual conditions) ○Terms of Service/ Terms and Conditions (beyond the licensing framework - limit abusive behavior) ●to be able to express rights and Terms in an easy and functional manner ●to minimize transaction costs for content re-use ●to become as open as possible as closed as necessary 7
Challenges: The Age of AI & TDM ●LLM development relies on Text and Data Mining (TDM): analysis of large datasets. ●Traditional open licences per se do not address ●Licensing vs. Limitations/ Exceptions ○Clarity ○Need for contractual / licensing expression ○Commercial vs non-commercial use. ○Secondary Publishing Rights (SPRs) and their legal and contractual implementation 8
Challenges II: existing rights expression language landscape ●Arbitrary terms (in Licences and TnCs) ●Inadequate support of different types of rights (IP vs. personal data), types of conditions (licences vs. ToS) and types of rules (legal vs. ethical) ●Abusive reuse of research results 9
16 ● Metadata → data about data ● Describe rules of use: ○ Who can use ○ When (embargo / open) ○ Under which conditions (licence, GDPR, ethics) ● Make rights clear & machine-readable Workshop Framing II: Metadata in Digital Rights
17 Workshop Framing III: JSON vs XML ● Past: XML → heavy, complex ● Now: JSON → lighter, web-friendly, easier to read ● Used by APIs, repositories, AI tools ● For this exercise: simplified JSON (no brackets/parentheses)
18 Example JSON ● Real JSON: detailed, layered (copyright, GDPR, ethics) ● Simplified JSON: only obligations, permissions, restrictions ● Focus: meaning, not code
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21 Workshop Framing IV: What we will be doing ● Forming teams on the basis of roles ● Identify value goals ● Explicate value goals into conditions ○ Must do (obligation) ○ Cannot do (limitations) ○ What to do (conditions) ● Explicate conditions into REL modules ● Understand and negotiate flows of value
22 Workshop Framing V: Time ● Workshop Introduction and REL Presentation ● Teams formation ● Stage I: Value Identification and Explication ● Stage II: Obligations, Permissions and Conditions Identification ● Stage III: JSON expression ● Stage IV: intra-teams negotiation ● Stage V: Value-centric REL reflection
23 Discussion ● What’s value to you ● What’s your biggest challenge ● What’s the biggest opportunity
Thank you OpenAIRE AMKE General Assembly | September 25, 2024 24
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[email protected] [email protected] [email protected]w.nl THANKS OpenAIRE AMKE General Assembly | September 25, 2024 2 5
