Brief summary for the INCF Neuroscience Assembly (https://neuroinformatics.incf.org/2021/program-week-2) of the two sessions run at the RDA Plenary 17th, which FAIRsharing WG has contributed t.
Overview of FAIR and the IMI FAIRplus project at the UK Conference of Bioinformatics and Computational Biology 2020: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020
Breif overview of FAIR and FAIRsharing, with focus on publishers for the Euroscience Open Forum (ESOF) 2020 session on FAIR and Data Sharing:
https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-sharing-and-its-impact-on-scientific-careers-and-their-evaluation.html
The FAIR Cookbook poster, as presented at the ELIXIR-UK Node and the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Presented at http://mcbios-maqc.org. The FAIR Principles have propelled the global debate in all disciplines about better RDM, transparent and reproducible data worldwide, and in all disciplines. FAIR has de facto become a global norm for good RDM, a prerequisite for data science, since their endorsement by global and intergovernmental leaders. Funding bodies are consolidating FAIR into their funding agreements; publishers have united behind FAIR as a way to remain at the forefront of open research; and in the private sector FAIR is adopted and enshrined in policy in major biopharmas, libraries, and unions. FAIR is changing the culture of data science, but work is needed to turn the principles into reality. I will use the work of the FAIRplus project as examplar to illustrate challenges and progresses.
Overview of FAIR and the IMI FAIRplus project at the UK Conference of Bioinformatics and Computational Biology 2020: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020
Breif overview of FAIR and FAIRsharing, with focus on publishers for the Euroscience Open Forum (ESOF) 2020 session on FAIR and Data Sharing:
https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-sharing-and-its-impact-on-scientific-careers-and-their-evaluation.html
The FAIR Cookbook poster, as presented at the ELIXIR-UK Node and the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Presented at http://mcbios-maqc.org. The FAIR Principles have propelled the global debate in all disciplines about better RDM, transparent and reproducible data worldwide, and in all disciplines. FAIR has de facto become a global norm for good RDM, a prerequisite for data science, since their endorsement by global and intergovernmental leaders. Funding bodies are consolidating FAIR into their funding agreements; publishers have united behind FAIR as a way to remain at the forefront of open research; and in the private sector FAIR is adopted and enshrined in policy in major biopharmas, libraries, and unions. FAIR is changing the culture of data science, but work is needed to turn the principles into reality. I will use the work of the FAIRplus project as examplar to illustrate challenges and progresses.
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
Brief introduction to FAIRsharing work with industry (publishers, pharmas) and the FAIR Cookbook (for the Life Science): https://www.opensciencefair.eu/2021/workshops/applying-fair-principles-to-open-science-and-industry-to-drive-innovation-challenges-and-opportunities
Breif overview of the FAIR Cookbook for the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
The FAIR Cookbook poster, as presented at the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop I, October 11, 2021.
Overview of the role of FAIRsharing and a dedicated Collection of data resources (platforms and registries that collect, harmonize, and share participant-level clinical-epidemiological, OMICs, and/or imaging data) for the COVID-19 Clinical Research Coalition and The Tropical Disease Research initiatives: https://coronavirus.tghn.org/research-resources/data-sharing-covid-19
The role of FAIRsharing in assessing FAIRness of digital objects: we assist, not assess. The workshop brought together a number of FAIR evaluation tools to discuss and design common FAIR tests to ensure tools deliver consistet results. Our presentation illustrates how FAIRsharing's content helps and how FAIRsharing's service contributes. The work will contribute to the work of the EOSC FAIR Metrics Task Force.
2021 04 Introduction to FAIRsharing - cinecaAllyson Lister
Part of the The “How FAIR are you” webinar series and hackathon, which aim at increasing and facilitating the uptake of FAIR approaches into software, training materials and cohort data, to facilitate responsible and ethical data and resource sharing and implementation of federated applications for data analysis.
More information at
* the webinar page: https://www.cineca-project.eu/news-events-all/how-fair-are-you-hackathon
* the recording of the talk: https://www.youtube.com/watch?v=UdGZOynyuGo
Increased access to the data generated is fuelling increased consumption and accelerating the cycle of discovery. But the successful integration and re-use of heterogeneous data from multiple providers and scientific domains is a major challenge within academia and industry, often due to incomplete description of the study details or metadata about the study. Using the BioSharing, ISA Commons and the STATistics Ontology (STATO) projects as exemplar community efforts, in this breakout session we will discuss the evolving portfolio of community-based standards and methods for structuring and curating datasets, from experimental descriptions to the results of analysis.
http://www.methodsinecologyandevolution.org/view/0/events.html#Data_workshop
My presentation at the http://neuroinformatics2017.org (Kuala Lumpur, Malaysia) on FAIR and FAIRsharing (previously BioSharing); metadata standards and their implementation by databases/repositories and adoption by journals' and funders' data policies.
Turning FAIR into Reality: Briefing on the EC’s report on FAIR datadri_ireland
DRI Director Natalie Harrower, a member of the European Commission's Expert Group on FAIR (Findable, Accessible, Interoperable and Re-usable) data, delivered a lunchtime briefing on the recently published 'Turning FAIR into Reality' report on Tuesday 26 February in the Royal Irish Academy, Dublin.
In 2016 the FAIR Data Principles were developed to support the position that effective research data management is ‘not a goal in itself but rather is the key conduit leading to knowledge discovery and innovation’. The new publication is both a report and an action plan for turning FAIR into reality. It offers a survey and analysis of what is needed to implement FAIR and it provides a set of concrete recommendations and actions for stakeholders in Europe and beyond.
The briefing provided an overview of the contents of the report, which include the principles of FAIR, as well as the elements required to implement FAIR data.
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
Brief introduction to FAIRsharing work with industry (publishers, pharmas) and the FAIR Cookbook (for the Life Science): https://www.opensciencefair.eu/2021/workshops/applying-fair-principles-to-open-science-and-industry-to-drive-innovation-challenges-and-opportunities
Breif overview of the FAIR Cookbook for the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
The FAIR Cookbook poster, as presented at the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop I, October 11, 2021.
Overview of the role of FAIRsharing and a dedicated Collection of data resources (platforms and registries that collect, harmonize, and share participant-level clinical-epidemiological, OMICs, and/or imaging data) for the COVID-19 Clinical Research Coalition and The Tropical Disease Research initiatives: https://coronavirus.tghn.org/research-resources/data-sharing-covid-19
The role of FAIRsharing in assessing FAIRness of digital objects: we assist, not assess. The workshop brought together a number of FAIR evaluation tools to discuss and design common FAIR tests to ensure tools deliver consistet results. Our presentation illustrates how FAIRsharing's content helps and how FAIRsharing's service contributes. The work will contribute to the work of the EOSC FAIR Metrics Task Force.
2021 04 Introduction to FAIRsharing - cinecaAllyson Lister
Part of the The “How FAIR are you” webinar series and hackathon, which aim at increasing and facilitating the uptake of FAIR approaches into software, training materials and cohort data, to facilitate responsible and ethical data and resource sharing and implementation of federated applications for data analysis.
More information at
* the webinar page: https://www.cineca-project.eu/news-events-all/how-fair-are-you-hackathon
* the recording of the talk: https://www.youtube.com/watch?v=UdGZOynyuGo
Increased access to the data generated is fuelling increased consumption and accelerating the cycle of discovery. But the successful integration and re-use of heterogeneous data from multiple providers and scientific domains is a major challenge within academia and industry, often due to incomplete description of the study details or metadata about the study. Using the BioSharing, ISA Commons and the STATistics Ontology (STATO) projects as exemplar community efforts, in this breakout session we will discuss the evolving portfolio of community-based standards and methods for structuring and curating datasets, from experimental descriptions to the results of analysis.
http://www.methodsinecologyandevolution.org/view/0/events.html#Data_workshop
My presentation at the http://neuroinformatics2017.org (Kuala Lumpur, Malaysia) on FAIR and FAIRsharing (previously BioSharing); metadata standards and their implementation by databases/repositories and adoption by journals' and funders' data policies.
Turning FAIR into Reality: Briefing on the EC’s report on FAIR datadri_ireland
DRI Director Natalie Harrower, a member of the European Commission's Expert Group on FAIR (Findable, Accessible, Interoperable and Re-usable) data, delivered a lunchtime briefing on the recently published 'Turning FAIR into Reality' report on Tuesday 26 February in the Royal Irish Academy, Dublin.
In 2016 the FAIR Data Principles were developed to support the position that effective research data management is ‘not a goal in itself but rather is the key conduit leading to knowledge discovery and innovation’. The new publication is both a report and an action plan for turning FAIR into reality. It offers a survey and analysis of what is needed to implement FAIR and it provides a set of concrete recommendations and actions for stakeholders in Europe and beyond.
The briefing provided an overview of the contents of the report, which include the principles of FAIR, as well as the elements required to implement FAIR data.
Turning FAIR into Reality - Role for Libraries dri_ireland
Presentation by Dr. Natalie Harrower, Director Digital Repository of Ireland and European Commission FAIR data expert group member, on what role librarians can play in the FAIR ecosystem. "Applying the FAIR data principles in day-to-day library practice" session by the Research Data Management Working Group, LIBER Steering Committee Research Infrastructures, LIBER2019, Dublin, 26 June 2019
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Introduction to the workshop Services to support FAIR data - Sarah JonesOpenAIRE
Introduction to the workshop Services to support FAIR data presented by Sarah Jones during the OpenAIRE workshop Services to support FAIR data, Vienna: https://www.openaire.eu/openaire-workshop-making-services-fair-vienna-april-24th-2019
From "A National Approach to Open Research Data in Ireland", a workshop held on 8 September 2017 in National Library of Ireland, organised by The National Library of Ireland, the Digital Repository of Ireland, the Research Data Alliance and Open Research Ireland.
FAIRsharing consists of three registries: data standards, databases and data policies. This short talk focuses on the FAIRsharing data policy registry, and how including your institutional, funder, publisher, journal, society, project in FAIRsharing can improve findability and machine readability of your policy
A presentation on FAIR, FAIRsharing and the FAIR ecosystem for the ENVRI-FAIR community on the 13th December 2019. This presentation covers the basics of what FAIR is, how FAIRsharing can help 'FAIRify' standards, repositories, knowledgebases and data policies, and then the connections FAIRsharing has with other initiatives, such as the FAIR Evaluator, Data Stewardship Wizard, our RDA WG, GO-FAIR and EOSC-Life.
Presentation to the EOSC workshop on policies (https://www.google.com/url?q=https://eoscfuture.eu/eventsfuture/monitoring-eosc-readiness-fair-data-policies) on what FAIRsharing does for policies, including providing registration, discovery, flexible and clearer descriptions, relationships, machine readability and comparability.
12.10.14 Slides, “Roadmap to the Future of SHARE”DuraSpace
Hot Topics: The DuraSpace Community Webinar Series
Series 10: All About the SHared Access Research Ecosystem (SHARE)
Webinar 3: Roadmap to the Future of SHARE
Wednesday, January 14, 2015
Presented by Judy Ruttenberg, Program Director, Association of Research Libraries
Overview of metadata standards, and how FAIRsharing and the FAIR Cookbook help selecting and using them. Presentation to the What is metadata? Common standards and properties. EHP Workshop, November 9, 2022: https://ephconference.eu/pre-conference-programme-441
Overview to: BBSRC Oxford Doctoral Training Partnership - Dr Sansone - July 2014Susanna-Assunta Sansone
What to know when planning for your data management strategy and preparing a data management statement for a research proposal for BBSRC DTP first year students
FAIRsharing presentation at the Japan Science and Technology AgencyPeter McQuilton
A 30 minute seminar presented at the National Bioscience Database Center, part of the Japanese Science and Technology Agency, based in Tokyo, Japan. This presentation covers the FAIR Principles, the aims, methodology and use of FAIRsharing, related projects such as Bioschemas, and international initiatives such as ELIXIR and EOSC.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
FAIRsharing and DataCite: Data Repository Selection- Criteria That MatterSusanna-Assunta Sansone
Through a collaboration with Datacite, FAIRsharing is working with a number of journal publishers (PLOS, Springer Nature, F1000, Wiley, Taylor and Francis, Elsevier, EMBO Press, eLife, GigaScience and Cambridge University Press) to identify a common set of criteria for selecting and recommending data repositories (and associated standards) that will be implemented in FAIRsharing. Details of this work and participants at https://osf.io/m2bce
FAIR, community standards and data FAIRification: components and recipesSusanna-Assunta Sansone
Overview of FAIR, FAIRsharing and the FAIR Cookbook at the ATI event on Knowledge Graphs: https://github.com/turing-knowledge-graphs/meet-ups/blob/main/symposium-2022.md
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop III, November 8, 2021.
Westminster Higher Education Forum policy conference Open research data in the UK: https://www.westminsterforumprojects.co.uk/conference/open-research-data-20
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
RDA17 FAIRsharing WG sessions: on repositories and policies
1. Repository features,
looking for convergence
Susanna-Assunta Sansone
ORCiD: 0000-0001-5306-5690 | Twitter: @SusannaASansone
datareadiness.eng.ox.ac.uk
Associate Professor, Information Engineering
Associate Director, Oxford e-Research Centre
INCF Neuroscience Assembly, 26 April 2021
Slides: https://www.slideshare.net/SusannaSansone
2. RDA/Force11 FAIRsharing Registry WG:
Connecting data policies, standards and databases
https://www.rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases.html
3. Guides consumers to discover, select and use these resources with confidence
Helps producers to make their resources visible, more widely adopted and cited
RDA/Force11 FAIRsharing WG - endorsed outputs
Registry
Recommendations
4. COVID-19 WG
… 530 resources (standards, policies and databases)
https://fairsharing.org/collection/RDACovid19WG
9. RDA/Force11 FAIRsharing WG - community request
Use and adoption has also led to requests (from user communities) to
improve the resource metadata descriptors that stakeholders want to see in
the registry
Current activities are:
1. Map repositories features across initiatives
a. Session by FAIRsharing WG
2. Align data policy from funders and publishers
a. Joint session between Funders IG, Data Policy Standardization IG, and
FAIRsharing WG
Funders IG Policy IG FAIRsharing WG
10. Policy alignment session - motivation and objectives
Objectives
● Examine funder-publisher policy alignment and provide recommendations on how to
improve alignment
Rationale
● Funder and publisher policies influence and motivate data sharing by researchers
● Need for policy alignment in order for research data policies to be maximally
effective
Initial policy areas of focus
● Data availability statements and data deposit requirements
11. Policy alignment - plan
Phase 1 – Research and analysis
● Conduct research into funder-publisher policy alignment
Phase 2 – Recommendations to Improve Policy Alignment
● Engage stakeholders to discuss current state of policy alignment
● Develop recommendations to improve policy alignment iteratively
Phase 3 – Application of the reccomendations
● Disseminate the recommendations, explore approaches pilot projects, and consider
how the recommendations could be used as a basis for continued policy alignment
● The FAIRsharing registry will prototype the policy templates putting them into
action, making these (harmonized) policies discoverable and comparable
16. We can (all) do more
By harmonizing the description of the policies,
we make them more discoverable, comparable and
clearer, promoting data availability, deposition and
reuse and guiding researchers to meet these goals
17. Repository feature session - motivation and objectives
There are a number of initiatives that have defined features that:
● help users and other stakeholders understand what functionalities repositories offer,
● help provide criteria to formally certify repositories, based on trustworthiness and FAIRness,
● can be used to define good practices to assist repositories to evaluate and improve their current
operations
○ ELIXIR Indicators (2017); CTS certification (set up as entity in 2018); Publishers features (from 2019); TRUST
principles (2020); COAR guidelines (2020); USA NIH repositories characteristics (2021); Science Europe criteria for
trustworthy repositories (2021)
Scope of this session and relevance to this WG:
● Can we map the landscape of these initiatives? Bring them together, raise awareness,
understand their scope and motivation.
● Can we identify a common set of metadata descriptors? Those that all stakeholders want to
see in FAIRsharing and other registries of repositories.
18. Presentations
● Publisher features - Matt Cannon, Taylor & Francis; and Chris Graf, Wiley
● ELIXIR - Sirarat Sarntivijai, ELIXIR
● Core Trust Seal - Mustapha Mokrane, CoreTrustSeal
● Science Europe - Marie Timmermann, Science Europe
● TRUST - Dawei Lin, NIH
● COAR - Kathleen Shearer, COAR
● NIH - Jerry Sheehan, NIH NLM
19. Publisher view
Repository Features to
Help Researchers
Matt Cannon, Taylor & Francis
Chris Graf, Wiley
Iain Hrynaszkiewicz, Emma Ganley PLOS
Varsha Khodiyar Springer Nature, Research Data
Wei Mun Chan eLife
Nick Everitt,Matthew Cannon Taylor and Francis
Scott Edmunds GigaScience
Molly Cranston, Guillaume Wright, Hollydawn
Murray
F1000Research
Kathryn Sharples, Chris Graf Wiley
Thomas Lemberger EMBO Press
Marina Soares Silva, Ilaria Carnevale, Sarah
Callaghan
Elsevier
Catriona MacCallum Hindawi
Kiera McNeice Cambridge University Press
Adam Leary Oxford University Press
https://doi.org/10.5281/zenodo.4683794
20. Motivation and mapping to other efforts
- Publishers have been rolling out data sharing policies in receptive communities for a number of years. A
large part of what is needed is resources and training for researchers on many topics, including DAS, data
citation, and selecting repositories
- Publishers already provide information about how to select repositories to authors - both on webpages and in
response to email queries. However the level of detail and subject coverage is highly varied and not
transparent.
21. ELIXIR CDR
Recognising the Core Data
Resources
https://elixir-europe.org/platforms/data/core-data-resources
Sirarat Sarntivijai
Data and Interoperability
Coordinator, ELIXIR
https://f1000research.com/articles/5-2422/v2
23. CoreTrustSeal
view
Mustapha Mokrane,
CoreTrustSeal Board member
Trustworthiness is at the center of the
relationship between a Digital Preservation
Repository and its Designated Community of
users.
A Trustworthy Digital Repository (TDR)
mission is to preserve digital objects for the
long-term and ensure their
understandability and reusability to their
Designated Community.
A certified Trustworthy Digital Repository is
transparently and verifiably assessed.
24. 1. Core Requirements for Trustworthy
Data Repositories (TDRs)
● Define the essential characteristics of TDRs
● Based on the OAIS Reference Model (ISO
14721)
● International and multidisciplinary consensus
● Reviewed every 3 years
2. CoreTrustSeal Certification
● Peer-reviewed self-assessment
● Public evidence based and transparent
● Certifications are valid for 3 years
● International and non-profit community effort
Coverage
68 Humanities & Social Sciences
49 Natural Sciences
29 Life Sciences
16 Engineering Sciences
25. Science Europe
RDM guidance should
always put researchers’
needs first!
Marie Timmermann
Senior Policy Officer, Science Europe
scieur.org/rdm
European association representing the interests of major public research funding
organisations (RFOs) and research performing organisations (RPOs) that foster
excellent, ground-breaking research in Europe.
26. Motivations
Provide direct support to researchers:
Researchers need to be able to identify trustworthy
repositories that respond to the needs of their specific project.
Aligning RPOs’ and RFOs’ support for their researchers:
Science Europe believes in the value of aligned policies
and practices. RPOs and RFOs are the first point of contact for
researchers and best suited to guide their choices of repositories.
Be as inclusive as possible
Take into account existing valuable initiatives
Leave the necessary flexibility to researchers, their organisations and their
funders
Published in January 2019
27. TRUST Principles
for Digital
Repositories
Dr. Dawei Lin, Ph.D.
Division of Allergy, Immunology, and
Transplantation, NIAID, NIH
dawei.lin@nih.gov
https://www.nature.com/articles/s41597-020-0486-7
28. Relationship between TRUST with other efforts
● Make it easy to understand the importance of Trustworthy Digital
Repositories
● Develop concise and measurable approaches to achieve Trustworthy Digital
Repositories
● NOT to replace any standards, criteria, or best practices
● Provide a high-level starting point for advocating, supporting and
implementing all certifications and assessments
32. • Willingness to work together
• Identify core characteristics only
• Bring all parties, repositories as well as all relevant registries
• Features (as functionality to adopt) vs best practices (guidelines for improvements)
• We need to distinguish and better define them
• Be very sensitive on how we apply these things
• We have still a long way to go for a good data quality ecosystem
• Repository landscape is evolving so we shouldn’t fix these criteria
• These should reflect researchers need
• Next and onging steps
• Writing a summary this discussion with speakers and interested parties
• Register on the FAIRsharing WG list, to make sure we can engage with you
• Discuss the creation of a new IG or WG to do this work
Repository feature session - conclusion
33. We are all representatives of key parts of the scholarly
community, and we must not forget that we are all here
to support researchers that are ultimately at the centre of
this, it seems imperative that we all move towards a
much more understanding and collaborative approach
We can (all) do more