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Supporting open science oriented skills building by virtual research environments
This document discusses how the BlueBRIDGE project supports open science skills building through virtual research environments. It outlines the challenges of integrating scattered data and tools for educational courses. BlueBRIDGE addresses these challenges by automatically creating tailored environments for each course that integrate various data processing services and models. This enables collaborative research and experimentation while managing access policies and reproducibility. BlueBRIDGE closes the gap between scientific and educational environments and promotes open science practices.
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Supporting open science oriented skills building by virtual research environments
- 1. BlueBRIDGE receives fundingfrom the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 675680 www.bluebridge-vres.euBlueBRIDGE receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 675680 www.bluebridge-vres.eu Supporting Open Science Oriented skills building by Virtual Research Environments Digital Infrastructures for Research November 30 2017 Brussels, Belgium Pasquale Pagano BlueBRIDGE Technical Director CNR-ISTI pasquale.pagano@isti.cnr.it
- 2. Outline Supporting Open ScienceOriented skills building by Virtual Research Environments BlueBRIDGE Requirements for Open Science Delivering Capacities for OS Skills Building 2
- 3. BlueBRIDGE objective To exploitthe new technological landscape for facilitating communities of scientists, innovators from SMEs and educators from different domains in their knowledge production chain, from the initial phases, data collection and aggregation, to the production of indicators for competent authorities and investors. Supporting Open Science Oriented skills building by Virtual Research Environments 3
- 4. BlueBRIDGE Services Offer Tailoredservices addressing three heterogeneous domains One common infrastructure D4Science Infrastructure Supporting Open Science Oriented skills building by Virtual Research Environments 4
- 5. BlueBRIDGE Infrastructure ServicesOffer Supporting Open Science Oriented skills building by Virtual Research Environments Data services addressing the whole data management value chain Infrastructure services addressing the access and management of infrastructure resources 5
- 6. BlueBRIDGE hides ICTcomplexities Supporting Open Science Oriented skills building by Virtual Research Environments Storage Database GIS NoSQL Computing D4Science EGI SeaDataNet Data OSCAR Copernicus 6
- 7. BlueBRIDGE hides ICTcomplexities Data and Services Hosted by different Organizations Accessible through different Protocols Described with different Metadata Policies Different Licenses Different Terms of Use Different approaches for Credits Heterogeneity Provide Discovery, Access, Use Support Validation, Curation, Harmonization Trace Provenance Supporting Open Science Oriented skills building by Virtual Research Environments BlueBRIDGE provides solutions for dealing with modern science increasingly global, multi-disciplinary and networked 7
- 8. REQUIREMENTS FOR OPEN SCIENCE Providingresearchers with the skills and competencies they need to practise Open Science Courtesy of Open Science Skills Working Group Supporting Open Science Oriented skills building by Virtual Research Environments 8
- 9. Vision Supporting Open ScienceOriented skills building by Virtual Research Environments When all researchers are aware of Open Science, and are trained, supported and guided at all career stages to practice Open Science, the potential is there to fundamentally change the way research is performed and disseminated, fostering a scientific ecosystem in which research gains increased visibility, is shared more efficiently, and is performed with enhanced research integrity 9
- 10. Categories of Open ScienceSkills Supporting Open Science Oriented skills building by Virtual Research Environments Skills and expertise necessary for open access publishing. Skills and expertise regarding research data, data production, management, analysis/use/reuse, dissemination and a change of paradigm from “protected data by default” to “open data by default”, respecting legal, and other constraints. Skills and expertise to act in and beyond one’s own scholarly and disciplinary community. Skills and expertise resulting from a general and broad concept of citizen science, where researchers interact with the general public to enhance the impact of science and research. 10
- 11. Data Science Competences SupportingOpen Science Oriented skills building by Virtual Research Environments 11
- 12. Recommendations Supporting Open ScienceOriented skills building by Virtual Research Environments Recommendation 5: Providing Support for Open Science Provide the technical infrastructure for Open Science (high- speed data centres, data repositories and virtual platforms). Provide the technical tools to facilitate researchers in doing Open Science (software for data creation, storage, and sharing). Provide professional support staff for general and specialist support for researchers (data stewards, IT technicians, data scientists, legal experts, discipline specific data managers and librarians). Implement and promote the use of data management plans in all research projects. Ensure a legal framework is in place for the secure, legal, and ethical sharing of data. 12
- 13. DELIVERING CAPACITIES FOR OPENSCIENCE SKILLS BUILDING Challenges, best practices, and technologies for … Supporting Open Science Oriented skills building by Virtual Research Environments 13
- 14. Challenges Supporting Open ScienceOriented skills building by Virtual Research Environments The scattered nature of facilities and data of potential interest for a course or for an instructor, the ever growing multidisciplinary nature of courses, the aim to reduce as much as possible the distance between the way scientists work, the latest research results and what the students are provided with 14
- 15. Practical Challenges Supporting OpenScience Oriented skills building by Virtual Research Environments All the steps in preparing course supporting environments require manual work, which is repeated each time a new course is held. Available data processing services and models come under heterogeneous programming languages, which usually require installing complex software on users’ computers. Executing models on users’ data usually demands a long phase of data preparation and powerful hardware, not always available in the institutions laboratories. Sharing data, parameters and results of experiments is difficult and collaboration between teachers and students is limited to the duration of the physical course. No instrument exists that currently bridges the scientific environments with the training environments. 15
- 16. Delivered Capacities Supporting OpenScience Oriented skills building by Virtual Research Environments An easy, automatic, and costless way to create a new tailored environment for each course Integrate data processing services and models Store and make accessible data Support collaborative research and experimentation Implement Reproducibility-Repeatability-Reusability Manage heterogeneous data/processes access policies low operational and low maintenance costs 16
- 17. Environment Preparation Trainer Supporting OpenScience Oriented skills building by Virtual Research Environments 17
- 18. Environment Exploitation Trainer Updates thescript on his private Workspace The service downloads the script on-the-fly A trainee executes an experiment on his/her data The output, the input and the parameters can be shared with trainees and with the trainer Either the trainee or the trainer can execute the experiment again 1 2 3 4 5 6 7 89 10 Supporting Open Science Oriented skills building by Virtual Research Environments 18
- 19. Integrating New Processes Integration:putting a script/software that works offline into the Cloud computing platform. • Software can be written in R, Python, Java, Octave, Linux compiled, Windows compiled, Knime Workflow. e.g. R script Computing platform Web interface and Web service SAI - Importing tool Automatic Supporting Open Science Oriented skills building by Virtual Research Environments 19
- 20. Advantages Tools and softwareare available also as-a-Service Can be invoked via communication standards Can exploit higher computational capabilities Becomes accessible via a Web interface Data generated through the integrated tools are empowered with provenance management store the results on a high-availability storage The course environment (VRE) enables Security, accounting and multi-tenancy Collaboration and sharing Re-usability, Reproducibility, Repeatability - also using other software (e.g. QGIS) Supporting Open Science Oriented skills building by Virtual Research Environments 20
- 21. Conclusions • BlueBRIDGE simplifiesthe integration of tools and software into e-infrastructure • BlueBRIDGE ensures access to an integrated environment designed by the trainer • BlueBRIDGE closes the gap between scientific and training environments • BlueBRIDGE promotes open science practices by enabling them transparently Supporting Open Science Oriented skills building by Virtual Research Environments BB manages BB supports BB operates Users exploits Policies Authz ToU Training Adoption Use Monitoring Accounting Provision Security Discover Access Re-use Share 21
- 22. Thank You Questions? Supporting OpenScience Oriented skills building by Virtual Research Environments 22 Visit the BlueBRIDGE Website: http://www.bluebridge-vres.eu Visit the BlueBRIDGE Catalogue & VREs: https://bluebridge.d4science.org/catalogue