The Research Data Alliance (RDA) is an international organization focused on data sharing infrastructure. With over 3,200 members from over 100 countries, RDA develops recommendations and outputs to reduce barriers to data sharing. Key activities include working groups that develop standards, best practices, and reference frameworks. RDA also holds plenary meetings to share developments and foster collaboration across disciplines. The organization aims to build the social and technical foundations for open data sharing to address global challenges.
Closing address by John Wood on the role of the Research Data Alliance given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Closing address by John Wood on the role of the Research Data Alliance given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
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We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Research Data Alliance Member Statistics December 2015
1. All you wanted to
know about The
Research Data
Alliance
<NAME SURNAME>, <AFFILIATIPON>
<EMAIL> <TWITTER ACCOUNT>
@RESDATALL @RDA_EUROPE @RDA_US
https://rd-alliance.org/
2. What is RDA?
RDA is an international organization focused on the development of
infrastructure and community activities that reduce barriers to data
sharing and exchange, and the acceleration of data driven innovation
worldwide.
With more than 3,200 members globally representing more than 100
countries, RDA includes data science professionals from multiple
disciplines, including but not limited to academia, library sciences, earth
science, astronomy and meteorology.
RDA is building the social and technical bridges that enable open sharing of
data to achieve its vision of researchers and innovators openly sharing data
across technologies, disciplines, and countries to address the grand challenges
of society.
https://rd-alliance.org/about.html
3. What does RDA do?
Members come together through self-formed, volunteer, focussed Working
Groups, exploratory Interest Groups to exchange knowledge, share
discoveries, discuss barriers and potential solutions, explore and define
policies and test as well as harmonise standards to enhance and facilitate
global data sharing.
RDA members collaborate together regionally and with the global RDA
community to tackle numerous infrastructure challenges related to:
Reproducibility
Data preservation
Best practices for domain
repositories
Curriculum development
Data citation
Data type registries
Metadata
and so many more!
https://rd-alliance.org/about.html
4. Who Can Join RDA?
◦ Any individual or organization, regardless of profession or discipline,
with an interest in reducing the barriers to data sharing and exchange
and who agrees to RDA’s guiding principles of:
◦ Openness
◦ Consensus
◦ Balance
◦ Harmonization
◦ Community-driven
◦ Non-profit and technology-neutral
Membership is free @ http://www.rd-alliance.org/user/register
https://rd-alliance.org/about.html
5. Getting involved
Individuals
Observers
Contributors
Drivers
5
Organisations
Insight
Adopt
Drive
National level
Coordination & Knowledge
Exchange, Strategy & / or
Implementation
• Members
• WGs-IGs-BoFs
• Requests for
Comments
• Plenaries
• Member
• WGs-IGs-BoFs
• RfCs
• H2020 projects
• Adoption /
Uptake
• Papers & Events
• Meetings & Fora
• Training & Workshops
• Uptake pilots
https://rd-alliance.org/about/get-involved.html
6. Why Join RDA?
Individual RDA Member Benefits
◦ Contribute to acceleration of data
infrastructure development
◦ Work and share experiences with
collaborators throughout the world
◦ Access to extraordinary network of
colleagues with various levels of
experience, perspectives and practices
◦ Gain greater expertise in data science
regardless of whether one is a student,
early or seasoned career professional
◦ Enhance the quality and effectiveness of
personal work and activities
◦ Improve one’s competitive advantage
professionally and positioning oneself for
leadership within the broader research
community
Organizational RDA Member
Benefits
◦ Provide an organizational perspective on the
work of RDA and ability to influence RDA’s
direction
◦ Assist in implementation of RDA Outputs
◦ Participate in all RDA Organizational Forums
◦ Receive regular updates on the work of the
RDA
◦ Attend Organizational Assembly meetings and
vote on proposed policies for consideration by
the RDA Council and for members of the
Organizational Advisory Board
◦ Provide advice to the Council through the
Organizational Advisory Board
◦ Be recognized on the RDA Website and at RDA
Meetings as a supporter of data
interoperability
https://rd-alliance.org/about/get-involved.html
7. 392
991
1274
1656
2048
2404
2636
2881 3126 3434
May -
July
Aug - Oct Nov - Jan Feb - Apr May -
July
Aug - Oct Nov - Jan Feb -Apr May -
July
Aug -Oct Nov - Jan
Africa
3%
Asia
7%
Australasia
4%
Europe
50%
North America
35%
South America
1%
Total RDA Community Members: 3499
from 104 countries
Who is RDA?
3499
Type
Members
(Dec 2015)
Press & Media 21
Policy/Funding Agency 50
Large Enterprise 78
IT Consultancy/Development 113
Small and Medium Enterprise 204
Other 192
Government/Public Services 538
Academia/Research 2303
TOTAL 3499
https://rd-alliance.org/about.html
9. Domain Science - focused
Toxicogenomics Interoperability IG
Structural Biology IG
Biodiversity Data Integration IG
Agricultural Data Interoperability IG
Wheat Data Interoperability WG
Digital Practices in History and Ethnography IG
Geospatial IG
Marine Data Harmonization IG
Metabolomics Data Interoperability IG
RDA/CODATA Materials Data Infrastructure and
Interoperability IG
Research Data Needs of the Photon and Neutron
Science Community IG
Defining Urban Data Exchange for Science IG
The BioSharing Registry: Connecting data policies,
standards and databases in the life sciences WG
Urban Quality of Life Indicators IG
Community Needs - focused
Community Capability Model IG
Engagement IG
RDA/CODATA Summer Schools in Data Science and
Cloud Computing in the Developing World IG
Development of Cloud Computing Capacity and
Education in Developing World Research IG
Data for Development IG
Education and Training on handling of research
data IG
RDA Interest (IG) & Working Groups (WG) by
Focus (1)
https://rd-alliance.org/groups
10. Data Stewardship and Services – focused
• Research Data Provenance IG
• Preservation e-infrastructure IG
• RDA / WDS Publishing Data Services WG
• RDA / WDS Publishing Data Workflows WG
• Long-tail of Research Data IG
• RDA/WDS Publishing Data IG
• RDA/WDS Repository Audit and Certification DSA-
WDS Partnership WG
• Domain Repositories Interest Group
• Brokering Interest Group
• ELIXIR Bridging Force IG
• Libraries for Research Data IG*RDA / WDS Certification
of Digital Repositories IG
• RDA / WDS Publishing Data Cost Recovery for Data
Centres IG
Reference and Sharing - focused
• Data Citation WG
• Standardization of Data Cat. and Codes WG
• RDA/CODATA Legal Interoperability IG
• Reproducibility IG
• Data Description Registry Interoperability Working
Group
• RDA / WDS Publishing Data Bibliometrics WG
Base Infrastructure - focused
• Data Foundation and Terminology WG
• Metadata Standards Directory WG
• Practical Policy WG
• PID Information Types WG
• Data Type Registries WG
• Data in Context IG
• Big Data Analytics IG
• Brokering Governance WG
• Federated Identity Management IG
• Metadata IG
• PID Interest Group
• Service Management IG
• Data Fabric IG
https://rd-alliance.org/groups
RDA Interest (IG) & Working Groups (WG) by
Focus (2)
11. Data Foundation & Terminology: a model for data in the
registered domain.
PID Information Types: a common protocol for providers
and users of persistent ID services worldwide.
Data Type Registries: allowing humans and machines to
act on unknown, but registered, data types.
Practical Policy: defining best practices of how to deal
with data automatically and in a documented way with
computer actionable policy.
https://rd-alliance.org/rda-outputs.html
Recommendations & Outputs
12. Metadata standards directory: Community curated
standards catalogue for metadata interoperability
Data Citation: defining mechanisms to reliably cite
dynamic data
Data Description Registry Interoperability solutions
enabling cross platform discovery based on existing open
protocols and standards
Wheat Data Interoperability impacting the
discoverability, reusability and interoperability of wheat
data by building a common framework for describing,
representing linking and publishing wheat data
https://rd-alliance.org/rda-outputs.html
Recommendations & Outputs
13. Repository Audit and Certification DSA–WDS: A convergent DSA-WDS
certification standard to help eliminate duplication of effort, increase
certification procedure coherence and compatibility thus benefitting
researchers, data managers, librarians and scientific communities.
RDA/WDS Publishing Data Bibliometrics: improved research data metrics
and corresponding services, with the final goal of increasing the overall
availability and quality of citations and research data itself.
RDA/WDS Publishing Data Services: A universal interlinking service between
data and the scientific literature.
RDA/WDS Publishing Data Workflows: enhance the possibilities for greater
discoverability and a more efficient and reliable reuse of research data
benefitting other stakeholders like publishers, libraries and data centres.
https://rd-alliance.org/rda-outputs.html
Recommendations & Outputs
14. Call for Collaboration Projects
Co-organization of domain workshops or training courses on
barriers, solutions, RDA results and adoption possibilities.
Adoption of a specific RDA output and integration into the
infrastructure software stack.
Adaptation of some existing software stack to be compliant with
RDA guidelines.
Writing guidelines on RDA output tuned to domain specialties.
In the case of RDA
Result Uptake &
Test projects
collaborations
should be short and
focused activities
with concrete
results produced
within a 6 month
time frame and
should be in the
order of 15.000€.
More information http://europe.rd-alliance.org/rda-europe-call-collaboration-projects
Call closed on 30 October 2015
15. RDA Plenary 8 during
International Data Week 2016
When? Autumn 2016
Where? East Coast, USA
Co-located with? SciDataCon2016
RDA Plenary 9
When? 5-7 April 2017
Where? Barcelona, Spain
RDA Plenaries
Why attend?
Working Meeting:
Updates & Progress
Knowledge Exchange,
Networking & Direct
Interaction
Best Practice, Outputs &
Adoption
New ideas, groups, ….
https://rd-alliance.org/
16. RDA Plenary 4 (Amsterdam),
22-24 Sept 2014
Co-located conferences:
EUDAT Conference
Crowd Computing 2014
Data Seal of Approval Conference 2014, etc.
1st RDA deliverables presented:
Data Type Registries
PID Information Types
Practical Policy
Data Foundation and Terminology
Focus on emerging professionals :
RDA/EU sponsored 14 European Early Career Researchers
and Scientists
RDA/US sponsored 8 Student Interns and 5 Early Career
and Student Fellows
https://rd-alliance.org/plenary-meetings/rda-fourth-plenary-meeting.html
Theme: “Reaping the Fruits”
550 attendees from 40+
countries & Co-hosted by
DANS, Netherlands
17. RDA Plenary 5 (San Diego, CA),
8-11 March 2015
1st Adoption Day & Large scale data projects
meeting
2nd Set of RDA deliverables presented:
Data Citation: Making Data Citable
Data Description Registry Interoperability
Metadata Standards Directory
Wheat Data Interoperability
Focus on emerging professionals :
RDA/EU sponsored 5 European Early Career
Researchers and Scientists
RDA/US sponsored 5 Fellowship winners
https://rd-alliance.org/plenary-meetings/rda-fifth-plenary-meeting.html
Theme: “Adopt-a-Deliverable”
385 attendees from 30 countries
& Supported by the San Diego
Super Computing Center
18. RDA Plenary 6 (Paris) – 23- 25
Sept 2015
RDA deliverables presented:
Repository Audit and Certification DSA–WDS
RDA/WDS Publishing Data Bibliometrics
RDA/WDS Publishing Data Services
RDA/WDS Publishing Data Workflows
7 Adoption cases: Deep Carbon Observatory, Platform for
Experimental Collaborative Ethnography, Datafed.net, the Materials
Innovation Infrastructure, EUDAT Collaborative Data Infrastructure,
German Climate Computing Center (DKRZ) & Common Language
Resources and Technology Infrastructure (CLARIN)
Focus on enterprise & climate change:
20 enterprises showcased solutions
3 climate change data challenge winners – Biovel, Plume Labs,
Vizonomy
Focus on emerging professionals :
RDA/EU sponsored 12 European Early Career Researchers and
Scientists & RDA/US sponsored 8 Fellowship winners
https://rd-alliance.org/plenary-meetings/rda-sixth-plenary-meeting.html
Theme: “Enterprise Engagement
with a focus on Climate Change”
700 attendees from 40+ countries
& hosted by Cap Digital – France
Co-located conferences:
1. eInfrastructures & RDA for Data
Intensive Science
2. Persistent Identifiers: Enabling
Services for Data Intensive Research
21. Continuing pipeline of infrastructure deliverables
adopted and used to accelerate data sharing
Increasing coordination of infrastructure
Increasing cross-boundary collaborations between
domains, sectors, organizations
International and regional programs focusing on
workforce, outreach, expansion of infrastructure impact
More Infrastructure
Partnership with Industry
Synergistic Programs
Effective Community
Next Steps for RDA
New partners in the Organizational Assembly
Focused strategy to support development of industry
infrastructure for data sharing
22. <NAMESURNAME>,
<AFFILIATION>
<EMAIL><Twitter
account>
@resdatall @RDA_US
@rda_europe
RDA Global
Email - enquiries@rd-alliance.org
Web - www.rd-alliance.org
Twitter - @resdatall
LinkedIn -
www.linkedin.com/in/ResearchDataAlliance
Slideshare -
http://www.slideshare.net/ResearchDataAlliance
Facebook -
https://www.facebook.com/pages/Research-
Data-Alliance/459608890798924
RDA Europe
Email - info@europe.rd-alliance.org
Web - europe.rd-alliance.org
Twitter - @RDA_Europe
RDA US
Twitter - @RDA_US
Editor's Notes
Guiding Principles:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral