Talk given at the Westminster Higher Education Forum Keynote Seminar: Next steps for Open Access and Open Data research policy, Tuesday, 22nd November 2016
Are you interested in finding out how your organisation can comply with the new European Commission Directive on Open Data and the Re-use of Public Sector Information (also known as the ‘Open Data Directive’)? The Open Data Directive entered into force on 16 July 2019 and will transposed into National Law in July 2021.
https://digital-strategy.ec.europa.eu/en/policies/open-data
In this presentation, we look at how an organisation can get started with Open Data publishing, including what data do we manage, which data should we publish as Open Data, or how can we make data available as Open Data?
Presented as part of the webinar 'It’s time to Open - Preparing for new Open Data and Reuse of PSI Directive'.
https://www.eventbrite.co.uk/e/its-time-to-open-preparing-for-new-open-data-and-reuse-of-psi-directive-tickets-143034131939#
Presentation given at the conference "open data for impact"
Erasmus+ project "Public Makers"
https://www.linkedin.com/posts/wide-luxembourg_opendata-publicmakers-activity-6818166878473596928-7ImU/
In this presentation, I present a Beginner Guide for Open Data publishers, including 'What to publish', 'How to publish', 'Where to publish', and 'Why publish'.
Includes practical guidelines, tips, and examples.
Presented at the Irish National Open Data Conference, 27th Nov, Dublin, Ireland
https://data.gov.ie/
Presentation on 'Why Open Data?', 'What can Open Data do for me?', and 'Local authorities - a unique opportunity.' Presented by Julia Glidden at 21c Consultancy, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
Open Data: Barriers, Risks, and OpportunitiesSlim Turki, Dr.
Despite the development of Open Data platforms, the wider deployment of Open Data still faces significant barriers. It requires identifying the obstacles that have prevented e-government bodies either from implementing an Open Data strategy or from ensuring its sustainability.
This paper presents the results of a study carried out between June and November 2012, in which we analyzed three cases of Open Data development through their platforms, in a medium size city (Rennes, France), a large city (Berlin, Germany), and at national level (UK). It aims to draw a clear typology of challenges, risks, limitations and barriers related to Open Data. Indeed the issues and constraints faced by re-users of public data differ from the ones encountered by the public data providers. Through the analysis of the experiences in opening data, we attempt to identify how barriers were overcome and how risks were managed. Beyond passionate debates in favor or against Open Data, we propose to consider the development of an Open Data initiative in terms of risks, contingency actions, and expected opportunities. We therefore present in this paper the risks to Open Data organized in 7 categories: (1) governance, (2) economic issues, (3) licenses and legal frameworks, (4) data characteristics, (5) metadata, (6) access, and (7) skills.
Sébastien Martin 1, Muriel Foulonneau 2, Slim Turki 2, Madjid Ihadjadene 1
1 Université Paris 8, Vincennes-Saint-Denis, France
2 PRC Henri Tudor, Luxembourg, Luxembourg
Are you interested in finding out how your organisation can comply with the new European Commission Directive on Open Data and the Re-use of Public Sector Information (also known as the ‘Open Data Directive’)? The Open Data Directive entered into force on 16 July 2019 and will transposed into National Law in July 2021.
https://digital-strategy.ec.europa.eu/en/policies/open-data
In this presentation, we look at how an organisation can get started with Open Data publishing, including what data do we manage, which data should we publish as Open Data, or how can we make data available as Open Data?
Presented as part of the webinar 'It’s time to Open - Preparing for new Open Data and Reuse of PSI Directive'.
https://www.eventbrite.co.uk/e/its-time-to-open-preparing-for-new-open-data-and-reuse-of-psi-directive-tickets-143034131939#
Presentation given at the conference "open data for impact"
Erasmus+ project "Public Makers"
https://www.linkedin.com/posts/wide-luxembourg_opendata-publicmakers-activity-6818166878473596928-7ImU/
In this presentation, I present a Beginner Guide for Open Data publishers, including 'What to publish', 'How to publish', 'Where to publish', and 'Why publish'.
Includes practical guidelines, tips, and examples.
Presented at the Irish National Open Data Conference, 27th Nov, Dublin, Ireland
https://data.gov.ie/
Presentation on 'Why Open Data?', 'What can Open Data do for me?', and 'Local authorities - a unique opportunity.' Presented by Julia Glidden at 21c Consultancy, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
Open Data: Barriers, Risks, and OpportunitiesSlim Turki, Dr.
Despite the development of Open Data platforms, the wider deployment of Open Data still faces significant barriers. It requires identifying the obstacles that have prevented e-government bodies either from implementing an Open Data strategy or from ensuring its sustainability.
This paper presents the results of a study carried out between June and November 2012, in which we analyzed three cases of Open Data development through their platforms, in a medium size city (Rennes, France), a large city (Berlin, Germany), and at national level (UK). It aims to draw a clear typology of challenges, risks, limitations and barriers related to Open Data. Indeed the issues and constraints faced by re-users of public data differ from the ones encountered by the public data providers. Through the analysis of the experiences in opening data, we attempt to identify how barriers were overcome and how risks were managed. Beyond passionate debates in favor or against Open Data, we propose to consider the development of an Open Data initiative in terms of risks, contingency actions, and expected opportunities. We therefore present in this paper the risks to Open Data organized in 7 categories: (1) governance, (2) economic issues, (3) licenses and legal frameworks, (4) data characteristics, (5) metadata, (6) access, and (7) skills.
Sébastien Martin 1, Muriel Foulonneau 2, Slim Turki 2, Madjid Ihadjadene 1
1 Université Paris 8, Vincennes-Saint-Denis, France
2 PRC Henri Tudor, Luxembourg, Luxembourg
Presentation on Open Data at Camden Council: being in the early stages of open data, why the council is interested in it and some of the dilemmas involved in providing open data. Presented by Mike Webb, Strategic Lead – Performance and Improvement at Camden Council, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
Digitalisation and the future of research environmentsJisc
A presentation by Professor Balbir Barn from our 'Shaping future research environments: digital challenges and opportunities' event on 15 December 2020.
EDF2014: Franck Cotton & Kamel Gadouche, France: TeraLab - A Secure Big Data...European Data Forum
Selected Talk of Franck Cotton, Technology Advisor, Institut National de la Statistique et des Etudes Economiques, France & Kamel Gadouche, Director, Centre d'Accès Sécurisé aux Données / Groupe des Ecoles Nationales d'Economie et Statistique, France at the European Data Forum 2014, 19 March 2014 in Athens, Greece: TeraLab - A Secure Big Data Platform, Description And Use Cases
The role of open data in enhancing reproducibility Louise Corti
Talk given at the Westminster Higher Education Forum policy conference: Next steps for protecting research integrity in the UK, Monday 9 September 2019
Presentation on Open Data at Camden Council: being in the early stages of open data, why the council is interested in it and some of the dilemmas involved in providing open data. Presented by Mike Webb, Strategic Lead – Performance and Improvement at Camden Council, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
Digitalisation and the future of research environmentsJisc
A presentation by Professor Balbir Barn from our 'Shaping future research environments: digital challenges and opportunities' event on 15 December 2020.
EDF2014: Franck Cotton & Kamel Gadouche, France: TeraLab - A Secure Big Data...European Data Forum
Selected Talk of Franck Cotton, Technology Advisor, Institut National de la Statistique et des Etudes Economiques, France & Kamel Gadouche, Director, Centre d'Accès Sécurisé aux Données / Groupe des Ecoles Nationales d'Economie et Statistique, France at the European Data Forum 2014, 19 March 2014 in Athens, Greece: TeraLab - A Secure Big Data Platform, Description And Use Cases
The role of open data in enhancing reproducibility Louise Corti
Talk given at the Westminster Higher Education Forum policy conference: Next steps for protecting research integrity in the UK, Monday 9 September 2019
Reproducibility is our gold standard, but what happens when data are analysed in a safe haven? Restrictions, which can be a high bar, on those accessing data mean that reproducers also need to meet any requirements. The UK Statistics Authority Safe Researcher type model can help create a trusted network of people with the training and skills to access data to check and rerun code. Reproducibility certification, like cascad, can help provide a robust checking process for controlled data.
Open Data management is still not trivial nor sustainable - COMSODE results are here to bring automation to publication and management of Open Data in public institutions and companies. Presentation includes Open Data Ready standard proposal, three use cases and invitation for Horizon 2020 projects 2016.
Accessing data for research: data publishing pathways and the Five SafesLouise Corti
Presented atL Assessing Disclosure Risk in Population Research Data and Outputs, Children of the 90s (ALSPAC)
Bristol Medical School, 24 January 2020.
In this half day session, we introduce the concept of a Safe Health Researcher, where both data producers and users are not only aware of key data legal, ethical and security measures surrounding the management and publication of biomedical research data, but also any risk in outputs they are creating.
The practical training session aimed at aimed at data managers looks at key elements of disclosure risk and trust in sharing biomedical data. We will cover the principles and practicalities of reviewing disclosure risk in numeric data sources and in research outputs.
Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
During this session, we will present the concept of BDVA i-Spaces (as it is reflected in the BDVA SRIA), the process and steps of i-Spaces labeling, the value proposition of being an i-Space and activities and examples of collaboration. The session will also include examples of first-hand experience from three recognized i-Spaces: ITAINNOVA (DIH Aragon), UPM, and Demokritos NCSR (aheed DIH).
Data Innovation Spaces are identified by BDVA as a key instrument to foster the Data-Driven Innovation in Europe. They provide innovation and experimentation environments where companies in their respective ecosystems could have their data-driven and AI-related products and solutions piloted, tested, and exploited before going to the market. BDVA launches every year a process to identify and recognize relevant initiatives in Europe that meet specific quality criteria in infrastructures, services, projects, and sectors of application, ecosystem and sustainability (BDVA i-Spaces call for labels).
Building data networks: exploring trust and interoperability between authoris...Repository Fringe
Building data networks: exploring trust and interoperability between authoris, repositories and journals. Varsha Khodiyar , Scientific Data; Neil Chue Hong, Journal of Open Research Software; Rachael Kotarski, DataCite, Peter McQuilton, BioSharing; Reza Salek, Metabolights. At Repository Fringe 2015
Building Successful API Programs in Higher Education3scale
In this webinar, hosted on August 27, 2015, Steven Willmott discusses the benefits of API development in higher education.
APIs are not exclusive to for-profit organizations. In higher education—from statewide university and college systems to smaller private institutions—schools like Notre Dame and Brigham Young University have built highly successful API programs.
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
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. Making the most of Open Data
Westminster Higher Education Forum Keynote Seminar:
Next steps for Open Access and Open Data research
policy
Tuesday, 22nd November 2016
Louise Corti
Director, Collections Development and
Producer Relations
UK Data Service
2. Not just open data …high quality open data
• Pathways to access for data held by
UK Data Service
• Gaining ODI Platinum certification for open data
• Running an App Challenge
3. • Builds on 50 years of practice in data curation
• 7000 data collections across social science
spectrum (265 open)
• Supporting the ESRC Data Policy since 1995
• Work with 1000s of data creators using
accumulated tried and tested best practice
• Host the prestigious UK governmental and
academic surveys
• Concordat with Office for National Statistics
UK Data Service – trusted digital repository
4. Managing access to our data holdings
• Download/online access under open
licence without any registrationOpen
• Download/online access to registered
users who agreed to an End User
Licence; possibly for special
conditions, vetted projects etc.
Safeguarded
• Remote or safe room access to
accredited authorised, authenticated,
users whose research proposals and
outputs have been approved
Controlled
Open where possible, closed when necessary
5. Our strategies for enabling safe access
Trusted accredited digital repository
Informed consent for long-term data sharing
Protection of identities when promised
Regulated access where needed
5 SAFES - safe access to data. Fulfils demands
for open science and transparency
Safe data - Safe people - Safe projects –
Safe settings - Safe outputs
https://www.youtube.com/embed/Mln9T52mwj0?platform=hootsuite
6. Successful data ingest
Standard depositors licences or data sharing
agreements and End User Agreements
Use robust and explicit quality assessment
techniques
Use standard deposit metadata and data
description
Work to an agreed timetable for data
publishing
training and capacity building to safely share
research data
7. Open Innovation project - App Challenge.net
• Open data and crowdsourcing project to generate
innovative uses and outlets for our data
• Created a harmonised open dataset over 2 waves
• European Quality of Life survey
• Data and disclosure control work with data owners
• Engagement with Open Innovation Community
• Platinum certification – Open Data Institute
• Data delivered via an open API
• Ran a App Challenge
10. An open dataset: whose standards?
• 90 questions – each answer = a URL
- quality, provenance, ethics and legal, documentation,
communication
• Focus on machine readable & actionable metadata
• Massive XML file:
http://doc.ukdataservice.ac.uk/DDI25/7724.xml
• Preservation vs. linked open data challenge
• API data delivery
Developers may NOT read our beautiful
documentation!
Requests to survey API must deliver weighted results
11. #EULIFE entries and winners
Crowdsourced app ideas from developers across the world
• India, Sweden, Serbia, Germany, Finland, Estonia,
Poland, the United Kingdom and New Zealand
• Judges from Google, ODI, RSS, Digital Catapult,
Transport API
Winners: social facts in context
• Quizzes – educational/fun – linked to evidence
• Results linked to contextualised news
• Social or community challenges
• User-friendly visualisation for mobiles
13. Data Quiz Apps -
aimed at 11-16 year
olds
Thanks to Ralph
Cochrane
@AppChallenge
https://play.google.com/store/apps/details?id=com.logtomobile.whoami&hl=en
15. Keep connected with us
• Subscribe to UK Data Service list:
www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UKDATASERVICE
• Follow UK Data Service on Twitter: @UKDataService
• Facebook
• Youtube: www.youtube.com/user/UKDATASERVICE
• corti@essex.ac.uk (Collections Development and Producer
Relations team)