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OSFair2017 Workshop | EOSCpilot monitoring framework overview and goals

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George Papastefanatos presents the EOSCpilot monitoring framework | OSFair2017 Workshop

Workshop title: Open Science Monitor

Workshop overview:
Which are the measurable components of Open Science? How do we build a trustworthy, global open science monitor? This workshop will discuss a potential framework to measure Open Science, including the path from the publishing of an open policy (registries of policies and how these are represented or machine read), to the use of open methodologies, and the opening up of research results, their recording and measurement.


Publié dans : Sciences
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OSFair2017 Workshop | EOSCpilot monitoring framework overview and goals

  1. 1. EOSCPilot Monitoring Framework Overview and goals George Papastefanatos RC Athena gpapas@imis.athena-innovation.gr OSFair 2017 | 6-8 September, Athens Open Science Monitor Workshop OpenAIRE, EOSCpilot, Jisc, DANS
  2. 2. Science 2.0 Processes & Practices http://ec.europa.eu/research/consultations/science-2.0/background.pdf
  3. 3. Open Science Characteristics ● Research results artefacts – Open Access to Publications (pre-prints, post-prints) – Open Datasets (FAIR data, data repositories) – Open Source Software (algorithms, tools, workflows, protocols, services) ● Open Scholarly Communication (open peer-review, open citations) ● Open Educational resources (open courses, presentations, events) ● Citizen Science (scientific blogs, social media engagement) ● …
  4. 4. Stakeholders
  5. 5. Benefits of monitoring Open Science Open Science and Research Initiative (2014). Open Science and Research Handbook.
  6. 6. Measuring Open Science …multiple efforts so far
  7. 7. OA to publications SPARC’s HowOpenIsIt? Guide
  8. 8. OSI 2016 “openness score” http://journals.gmu.edu/osi/article/download/1381/1149
  9. 9. FAIR Principles→ Metrics Towards metrics to assess and encourage FAIRness A FAIRness Index is a collection of metrics that are aligned to the FAIR principles and can be consistently and transparently evaluated. Dumontier@Elixir 2017 https://www.slideshare.net/micheldumontier/towards-metrics-to-assess-and-encourage-fairness
  10. 10. Example of a FAIRness Metric F1 (meta)data are assigned a globally unique and persistent identifier Aspect: Identifier Persistence Rationale: An identifier can be used to find, access, and reuse a resource. As such, it must be available to users in the longest term possible otherwise we will not be able to perform those functions with the identifier in hand. Relevant FAIR Principles: F,A,I,R Metric: Availability of data management plan, which includes a section dealing with continuity and contingencies related to the persistence of identifiers. The value of the metric is true or false. Procedure: Check and verify the URL in the resource metadata points to a data management plan with continuity section. Document should follow a community standard, or recommend a basic structure. Dumontier@Elixir 2017
  11. 11. FAIR research data and repositories
  12. 12. Certification &Badge systems GEO label facets Data Seal of Approval ODI’s Open Data Certificate
  13. 13. EU Open Science Monitor Study (by RAND)
  14. 14. OpenAIRE usage statistics
  15. 15. Open Data Monitor http://opendatamonitor.eu
  16. 16. Open Data
  17. 17. Monitoring Open Science - Challenges •…more than identifying appropriate metrics per each characteristic •Transparent & Open Processes of monitoring –E.g., appropriate sources (availability, trustworthiness) •Connection & Validation with current OS trends •Dynamic and Extensible to new OS practices –New characteristics, indicators,… •Address diverse analysis needs –Researchers, Funders, Service Providers, …
  18. 18. EOSCPilot Monitoring Framework - Goals • User driven methodology – Stakeholders → Goals → Questions → Indicators • Harmonized Indicators on open research results – Aspects of openness, transparency & ownership – Analysis of Practices and Policy-relevant trends • Open Specifications: models, standards and processes – Collection of the appropriate data – Validation & Aggregation services for monitoring • Added value services on top of the framework – Analytics, Visualization, Certificates & Comparison tools • Dynamic & Extensible observatory
  19. 19. EOSCPilot Monitoring Framework – Approach Concept Data Gathering AnalysisPublication Review Research Outputs Educational Resources Policies Scholarly Communication … OA to Publications •#OA repositories •%green access •#Pre-Prints Research Data •Fair metrics •Linked Science cloud OS Software •#downloads •#commits •… Analysis Validation Collection Monitoring Framework Components OS Activities Indicators Processes OS Characteristics Data sources & Indicators OS Characteristics Users Stakeholders Certificates & Badges Services & Statistics Policies Specifications & APIs Validation and Update EOSCPilot Pilots
  20. 20. Workshop Agenda • EOSC Pilot Monitoring Framework - Overview and goals (George Papastefanatos - EOSC Pilot) • OpenAIRE monitoring - Stakeholders, Vision (Natalia Manola - OpenAIRE) • Introduction of the DANS Approach to FAIR Metrics (Peter Doorn and Elly Dijk - DANS) • Policies: representation & registries from a UK perspective from Jisc’s open access services (Frank Manista - JISC) • Monitoring open science trends in Europe (Salil Gunashekar - RAND Europe) • Open Data Monitor: Monitoring Open governmental data (Dimitris Skoutas - OpenDataMonitor)
  21. 21. Thanks you for your Attention OSFair 2017 | 6-8 September, Athens Open Science Monitor Workshop OpenAIRE, EOSCpilot, Jisc, DANS