This document discusses Jisc and its role in supporting research through shared digital infrastructure, services, and research and development. It outlines some of Jisc's key activities like negotiating access to journals and databases, providing open access services, and developing tools to support libraries and research. The document then discusses how the Fourth Industrial Revolution is blurring physical, digital and biological spheres and will impact research. It presents Jisc's vision of "Research 4.0" and validating/engaging stakeholders on services related to research analytics, open scholarship, and other areas to support digital research.
ICT Observatories as a Policy Support Tool: The Picto Experience.Enrico Ferro
This presentation contains the experience of the Piedmont Region in using an ICT Observatory as a policy intelligence support tool in the design and analysis of regional policies on ICT matters.
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation on the European Open Science Cloud (EOSC) was delivered by Sarah Jones (GÉANT).
(Inter)disciplinary Infrastructures for Social Sciences and Humanitiesdri_ireland
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation on (inter)disciplinary infrastructures for social sciences and humanities was delivered by Sally Chambers (Ghent Centre for Digital Humanities).
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
Open Research in Ireland: Infrastructures for Open Researchdri_ireland
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation features an introduction to NORF, delivered by Dr Daniel Bangert (Digital Repository of Ireland), and a summary of landscaping work by the NORF Working Group on Infrastructures delivered by Eoghan O’Carragain (University College Cork) and Caleb Derven (University of Limerick).
A proposed solution for changing the development landscapeThulo Monyatsi
A summary of how data can be used to change lives and develop trust, equity and value on service deliver - focusing on data infrastructure policy; Tools and Techniques; Functional Autonomy of Organizations; and Data Literacy to increase demand for quality data.
ICT Observatories as a Policy Support Tool: The Picto Experience.Enrico Ferro
This presentation contains the experience of the Piedmont Region in using an ICT Observatory as a policy intelligence support tool in the design and analysis of regional policies on ICT matters.
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation on the European Open Science Cloud (EOSC) was delivered by Sarah Jones (GÉANT).
(Inter)disciplinary Infrastructures for Social Sciences and Humanitiesdri_ireland
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation on (inter)disciplinary infrastructures for social sciences and humanities was delivered by Sally Chambers (Ghent Centre for Digital Humanities).
EDF2014: Kush Wadhwa, Senior Partner, Trilateral Research & Consulting: Addre...European Data Forum
Selected Talk by Kush Wadhwa, Senior Partner, Trilateral Research & Consulting at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Addressing risks and opportunities engendered by big data: The BYTE project
Open Research in Ireland: Infrastructures for Open Researchdri_ireland
As part of a webinar series on Open Research in Ireland, the National Open Research Forum (NORF) presented a webinar focused on Infrastructures to support Open Research on 30 March 2021. This presentation features an introduction to NORF, delivered by Dr Daniel Bangert (Digital Repository of Ireland), and a summary of landscaping work by the NORF Working Group on Infrastructures delivered by Eoghan O’Carragain (University College Cork) and Caleb Derven (University of Limerick).
A proposed solution for changing the development landscapeThulo Monyatsi
A summary of how data can be used to change lives and develop trust, equity and value on service deliver - focusing on data infrastructure policy; Tools and Techniques; Functional Autonomy of Organizations; and Data Literacy to increase demand for quality data.
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
Slides presented by Jan Müller (CEO Netherlands Institute for Sound and Vision) at the CLARIAH kick-off.
http://www.clariah.nl/activiteiten/clariah-kick-off
EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...European Data Forum
Invited Talk of Ksenia Petrichenko, Building Policy Analyst, Global Buildings Performance Network at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Making a ‘black box’ transparent: role of the open data in the building sector
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
PPP on Data & Executive Panel on Big Data, Introduction by Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Data Value Chain Partership in Europe.
Open Science Commons: a holistic and ecological view of science OpenAIRE
OpenAIRE presentation at IFLA 2019 annual conference.
Open science comes on the heels of the fourth paradigm of science, which is based on data-intensive scientific discovery, and represents a new paradigm shift, affecting the entire research lifecycle and all aspects of science execution, collaboration, communication, innovation. From supporting and using (big) data infrastructures for data archiving and analysis, to continuously sharing with peers all types of research results at any stage of the research endeavor and to communicating them to the broad public or commercial audiences, openness moves science away from being a concern exclusively of researchers and research performing organisations and brings it to center stage of our connected society, requiring the engagement of a much wider range of stakeholders: digital and research infrastructures, policy decision makers, funders, industry, and the public itself.
This presentation focuses on two Europe’s flagship initiatives for Open Science, the European Open Science Cloud and Open AIRE (www.openaire.eu), and discusses the role of the libraries in the wider data ecosystem as that of (i) an enabler for openness, FAIRness, participation, transparency and social impact, active in the preservation, curation, publication and dissemination of digital scientific materials, and (ii) a multiplier for training and supporting scientists and non-scientists alike (citizen science, open innovation) for a harmonic co-existence in this emerging environment.
EDF2014: Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, It...European Data Forum
Selected Talk by Michele Vescovi, Researcher, Semantic & Knowledge Innovation Lab, Italy at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience
Slides presented by Jan Müller (CEO Netherlands Institute for Sound and Vision) at the CLARIAH kick-off.
http://www.clariah.nl/activiteiten/clariah-kick-off
EDF2014: Talk of Ksenia Petrichenko, Building Policy Analyst, Global Building...European Data Forum
Invited Talk of Ksenia Petrichenko, Building Policy Analyst, Global Buildings Performance Network at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Making a ‘black box’ transparent: role of the open data in the building sector
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
PPP on Data & Executive Panel on Big Data, Introduction by Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Data Value Chain Partership in Europe.
Open Science Commons: a holistic and ecological view of science OpenAIRE
OpenAIRE presentation at IFLA 2019 annual conference.
Open science comes on the heels of the fourth paradigm of science, which is based on data-intensive scientific discovery, and represents a new paradigm shift, affecting the entire research lifecycle and all aspects of science execution, collaboration, communication, innovation. From supporting and using (big) data infrastructures for data archiving and analysis, to continuously sharing with peers all types of research results at any stage of the research endeavor and to communicating them to the broad public or commercial audiences, openness moves science away from being a concern exclusively of researchers and research performing organisations and brings it to center stage of our connected society, requiring the engagement of a much wider range of stakeholders: digital and research infrastructures, policy decision makers, funders, industry, and the public itself.
This presentation focuses on two Europe’s flagship initiatives for Open Science, the European Open Science Cloud and Open AIRE (www.openaire.eu), and discusses the role of the libraries in the wider data ecosystem as that of (i) an enabler for openness, FAIRness, participation, transparency and social impact, active in the preservation, curation, publication and dissemination of digital scientific materials, and (ii) a multiplier for training and supporting scientists and non-scientists alike (citizen science, open innovation) for a harmonic co-existence in this emerging environment.
Susanna Sansone's talk at the "Beyond Open" Knowledge Dialogues/Open Data Hong Kong event on research data, hosted at the Hong Kong Innocentre on Monday 20 November 2017.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Talk given at Griffith University in Australia on trends in Research Data Management, FAIR and current progress towards this in the European Open Science Cloud
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...Sarah Jones
A multi-speaker presentation given by the European Commission FAIR Data Expert Group at ScieDataCon as part of International Data Week in Botswana in November 2018.
Simon Hodson, Chair of the Group explained the remit and background. Natalie Harrower outlined key concepts. Francoise Genova spoke on the recommendations related to research data culture. Daniel Mietchen addressed the infrastructure needed and our proposals for a FAIR ecosystem, and Sarah Jones spoke to the cultural aspects needed to drive change and outlined the FAIR Action Plan.
The report has been revised in light of the 500+ comments received as part of the open consultation and will be formally released on 23rd November as part of the Austrian Presidency events.
Jisc Analytics Labs is an approach to the development of decision-making tools underpinned by data. This presentation will briefly outline this approach and then focus on the results of the reproducibility lab which used data from articles on animal-based research to assess the degree to which factors affecting research reproducibility are reported
The aim of this project was to develop and evaluate a prediction market tool that higher education institutions can use to rank outputs for potential REF submissions as part of their internal REF (Research Excellence Framework) planning. A prediction market is a bit like the stock market, except instead of investing in companies, participants invest in the outcomes of future events (in this case, ratings of research outputs). This presentation will give some background to the project and details of the prediction markets that have been tested with Units of Assessment at the University of Bristol. It will include a demo of the tool used and the lessons learned from the first round of markets.
Primary data collected during a research study is increasingly shared and may be re-used for new research. The aim of this project was to assess the extent of data sharing of summary statistics of primary human genome-wide association studies (GWAS) as an example of data sharing in favourable circumstances in a particular discipline and whether such checks can be automated. This presentation will summarise the findings of the project and demonstrate a tool to extract information from data availability statements
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.
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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.
1. Introduction to Jisc and
research analytics.
July 2019
Chris Keene, head of library and scholarly futures, Jisc
2. What do we do?
Shared digital
infrastructure and
services
Expert and trusted
practical support and
assistance
Sector wide deals
with IT vendors and
commercial publishers
Research and development
Janet / Eduroam Jisc collections GDPR, Cloud…
6. Jisc role and services
Integration
platform
Preservation
Data repository
OA repository
Reporting tools
Research tools
Open research hub
Research analytics?
University data
HESA data
Jisc data
3rd party/open
data
Dashboards etc
Integration
platform
8. The Fourth Industrial Revolution
The First Industrial Revolution used water and steam power to
mechanize production.
The Second used electric power to create mass production.
The Third used electronics and information technology to automate
production.
Now a Fourth Industrial Revolution is building on the Third, the
digital revolution that has been occurring since the middle of the last
century. It is characterized by a fusion of technologies that is
blurring the lines between the physical, digital, and biological
spheres.
The Fourth Industrial Revolution, Klaus Schwab
https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution
9. Insert footer9
Vision
“Research 4.0”: convergence of ubiquitous networks, big
data, machine learning, IoT, robotics…
Will affect research, its organisation, and its relation with
wider economy and society
10. Research - Our understanding of the context
10
• Vision
• “Research 4.0”: convergence of
ubiquitous networks, big data,
machine learning, IoT, robotics…
• Will affect research, its organisation, and
its relation with wider economy and society
• Validation and engagement
• Consultation and engagement with
institutional leaders, professional
support staff, researchers, funders…
• Services
• Research information and analytics
• FAIR and open scholarship
• Authentication and access
• Network and cybersecurity
• Cloud / data infrastructure
Financial sustainability – reducing costs, attracting investment, diversifying
revenue to increase resilience
Expertise needed / developed by sector (‘talent pipeline’) – skills and CPD,
effect of digital on EDI, mobility across sectors / internationally, team research,
positive research culture, and public engagement to inspire future researchers
Performance – enabling excellent, cutting edge, pure and applied research and
innovation that fully exploits the potential of digital technologies
Integrity and ethics – making sure digital research is ethical (responsible research
and innovation), has integrity (eg reproducibility), transparency (open research) and
security (AAAI and cybersecurity)
Knowledge exchange – digital technologies enabling research and innovation
collaboration with business, civil society, culture, policy and society, etc, across all
parts of the UK / regions.
International – digital technologies enabling collaboration, providing a research
environment that encourages investment and staff mobility, and that benefit from
compatible regulation in the context of Brexit
Organisational strategies – that support data-intensive research, and that
themselves are data-informed, using indicators responsibly, being aware of the
incentives they can create
Sector prioritiesJisc approach
11. Forum for responsible metrics
11
• The Forum have a programme of activities, including:
• · Advice to the higher education funding bodies on quantitative indicators in the Research
Excellence Framework (REF) 2021
• · Advice on, and work to improve, the data infrastructure that underpins metric use
• · Advocacy and leadership on the use of research metrics responsibly
• · International engagement on the use of metrics in research and researcher assessment
12. Research analytics
Jisc research analytics12
• Building on our experience with learning analytics, analytics labs.
• Consultation and engagement with institutional leaders, professional support staff,
researchers, funders…
• Exploring options and small experiments.
• But thinking about the future, and what opportunities and challenges the sector
will face
Editor's Notes
We do three main things:
We operate shared digital infrastructure and services
We negotiate sector-wide deals with IT vendors and commercial publishers
We provide trusted advice and practical assistance for universities, colleges and learning providers
Our research and development work is integrated across these three areas.
We are supported by several key platforms (?) including:
the high speed, high bandwidth and very reliable Janet network plus Eduroam (giving network access across locations)
The Jisc Collections web site
The learning data hub (our cloud-based storage solution for student records and data. It includes the data of 30 HEIs and is growing- and supports the world’s first national learning analytics service of its kind).
We are a long-term, trusted sector body with the capability and capacity for delivery.
James wilsdon
Robustness – basing metrics on the best possible data in terms of accuracy and scope
Humility – recognising that quantitative evaluation should support, but not supplant, qualitative, expert assessment
Transparency – that those being evaluated can test and verify the results
Diversity – accounting for variation by research field, and using a range of indicators to reflect and support a plurality of research and researcher career paths across the system
Reflexivity – recognising and anticipating the systemic and potential effects of indicators, and updating them in response
