Find out how to partner with us for the RDA 6th Plenary in Paris, 23- 25 September 2015! Join us for an international event gathering industry and academic experts, world leaders involved in the data ecosystem !
This document summarizes Peter Baeck's presentation on digital social innovation (DSI) at SI Live in Lisbon on November 13, 2014. The presentation defined DSI, discussed examples in four technological areas, and shared lessons learned from mapping over 900 European organizations involved in DSI. The key findings were that most DSI projects are driven by new types of social innovation organizations, there is a skills gap around digital technologies in the social sector, and most activity is currently small-scale but rapidly evolving.
Slides from my panel session at Science & Innovation 2015 with STFC DiRAC, HPC Midlands, Francis Crick Institute and UCL. As we move into the expected post-election comprehensive spending review, it is a good time to take stock of some of the innovations that have helped the UK’s institutions and industry to work together to accelerate innovation whilst achieving operating efficiencies over the last few years.
In this session we hear about trend setting initiatives such as Jisc’s shared data centre and equipment sharing initiative, which makes over £200m of capital equipment available for sharing between institutions and with industry, and industrial connectivity to the UK’s Janet network.
My slides for the Innovate UK e-Infrastructure SIG meeting in August 2014, introducing the work we have been doing with HPC Midlands to create a standard heads of agreement for HPC services, to make it easier for academic supercomputer centres to share their facilities with other institutions and with industry.
This document discusses open data policy and developments in Europe. It provides an overview of the key initiatives and directives related to opening up and promoting the reuse of public sector information, including the Digital Agenda for Europe, revision of the PSI Directive, and implementation of principles from the G8 Open Data Charter. Specific actions to encourage open data are described, such as awareness campaigns, guidelines for member states, and funding for open data platforms and projects showcasing reuse examples.
The document summarizes REACH, a European incubator program that aims to boost data-driven innovation. Over 3 years, REACH will select and fund over 100 startups and SMEs through 11-month incubation programs. It will connect these companies with large corporations and Digital Innovation Hubs to help develop new Data Value Chains. The incubator seeks to break down data silos and enable multi-stakeholder collaboration across sectors to generate sustainable solutions using data analytics. DIHs play a key role by defining challenges, sharing relevant regional data, and supporting startups throughout the incubation process.
The Open Data Institute (ODI) connects commercial, non-commercial, and government actors to address global challenges through the use of open data and a robust data infrastructure. The ODI works with sectors to identify how the web of data can impact businesses and the economy. It inspires innovation through various programs including training, startup acceleration, research, and events. The goal is to build a strong data infrastructure that enables open innovation on a global scale.
Route to PA Project Meeting Dublinked Presentation 03.12.2015Dublinked .
Dublinked is developing a new open data platform and website to enhance transparency, citizen engagement, and data-driven innovation in Dublin. The platform will integrate new visualization and social networking tools from the Route to PA Horizon 2020 project. Dublinked will launch the new platform in February 2016 after user testing and will focus on curating data and improving APIs to appeal to key user groups like government, researchers, developers and citizens. Dublinked will also work with Smart Dublin to identify urban challenges and engage citizens and stakeholders through workshops to develop solutions using open data.
This document summarizes Peter Baeck's presentation on digital social innovation (DSI) at SI Live in Lisbon on November 13, 2014. The presentation defined DSI, discussed examples in four technological areas, and shared lessons learned from mapping over 900 European organizations involved in DSI. The key findings were that most DSI projects are driven by new types of social innovation organizations, there is a skills gap around digital technologies in the social sector, and most activity is currently small-scale but rapidly evolving.
Slides from my panel session at Science & Innovation 2015 with STFC DiRAC, HPC Midlands, Francis Crick Institute and UCL. As we move into the expected post-election comprehensive spending review, it is a good time to take stock of some of the innovations that have helped the UK’s institutions and industry to work together to accelerate innovation whilst achieving operating efficiencies over the last few years.
In this session we hear about trend setting initiatives such as Jisc’s shared data centre and equipment sharing initiative, which makes over £200m of capital equipment available for sharing between institutions and with industry, and industrial connectivity to the UK’s Janet network.
My slides for the Innovate UK e-Infrastructure SIG meeting in August 2014, introducing the work we have been doing with HPC Midlands to create a standard heads of agreement for HPC services, to make it easier for academic supercomputer centres to share their facilities with other institutions and with industry.
This document discusses open data policy and developments in Europe. It provides an overview of the key initiatives and directives related to opening up and promoting the reuse of public sector information, including the Digital Agenda for Europe, revision of the PSI Directive, and implementation of principles from the G8 Open Data Charter. Specific actions to encourage open data are described, such as awareness campaigns, guidelines for member states, and funding for open data platforms and projects showcasing reuse examples.
The document summarizes REACH, a European incubator program that aims to boost data-driven innovation. Over 3 years, REACH will select and fund over 100 startups and SMEs through 11-month incubation programs. It will connect these companies with large corporations and Digital Innovation Hubs to help develop new Data Value Chains. The incubator seeks to break down data silos and enable multi-stakeholder collaboration across sectors to generate sustainable solutions using data analytics. DIHs play a key role by defining challenges, sharing relevant regional data, and supporting startups throughout the incubation process.
The Open Data Institute (ODI) connects commercial, non-commercial, and government actors to address global challenges through the use of open data and a robust data infrastructure. The ODI works with sectors to identify how the web of data can impact businesses and the economy. It inspires innovation through various programs including training, startup acceleration, research, and events. The goal is to build a strong data infrastructure that enables open innovation on a global scale.
Route to PA Project Meeting Dublinked Presentation 03.12.2015Dublinked .
Dublinked is developing a new open data platform and website to enhance transparency, citizen engagement, and data-driven innovation in Dublin. The platform will integrate new visualization and social networking tools from the Route to PA Horizon 2020 project. Dublinked will launch the new platform in February 2016 after user testing and will focus on curating data and improving APIs to appeal to key user groups like government, researchers, developers and citizens. Dublinked will also work with Smart Dublin to identify urban challenges and engage citizens and stakeholders through workshops to develop solutions using open data.
Big data and the dark arts - Jisc Digital Media 2015Jisc
There still remains a certain misunderstanding by the very definition of "big data" and the perceived hype around the term. This workshop clarified the concepts and give examples of relevant big data projects.
Stakeholder forum 2015 - The way forward together - Phil RichardsJisc
This document outlines an agenda for a stakeholder forum on moving forward together. It includes sections on research and development pipelines at Jisc, ensuring radical innovation, and group exercises. Upcoming and current projects are briefly described, such as an online tool for participant recruitment, a kit cataloguing system, and tools to analyze higher education datasets. Risk distribution strategies for future projects and the need for bold ideas beyond incremental changes are also mentioned. The document concludes with a list of breakout group topics for the stakeholder forum.
The document outlines principles for citizen engagement in co-creating future cities. It summarizes interviews with organizers of citizen engagement initiatives in cities like Aarhus, Santander, London, and Barcelona. 7 draft principles for citizen engagement are described. The principles emphasize empowering communities, designing for trust around change, facilitating ownership, debating across comfort zones, using challenges to drive innovation, choosing the right venues, and providing a clear process and visibility of outcomes. The document also outlines a proposed "Experimentation as a Service" journey from initial awareness and challenges to co-creation, experimentation, and examination over 17 months.
The slides for my talk on "HPC as a service" at the 25th anniversary Machine Evaluation Workshop in December 2014. I cover Jisc's HPC brokerage and related initiatives including our shared data centre, industry connectivity to Janet, our VAT cost sharing group, and our pilot of the Kit-Catalogue equipment sharing database.
Stakeholder forum 2015 - 2015 and beyond - Martyn HarrowJisc
This document summarizes key points from a January 2015 stakeholder forum discussing challenges and opportunities for the coming years. The CEO notes that digital tools provide enormous potential through shared approaches. Jisc, as the UK-wide vehicle with expertise and transformed costs, is uniquely positioned to help sectors facing unprecedented challenges by delivering gains now and ahead, giving the UK an advantage envied by other nations.
The Safe Share Project is a pilot project running from 2014-2017 that enables the secure exchange of health data between universities and research institutions. It uses an encrypted overlay network over Janet to facilitate analysis while protecting sensitive data. The goal is to further medical research on diseases and treatments through collaborative analysis of data, in a way that maintains public trust through secure handling of personal information.
Crowdsourcing Approaches for Smart City Open Data ManagementEdward Curry
A wide-scale bottom-up approach to the creation and management of open data has been demonstrated by projects like Freebase, Wikipedia, and DBpedia. This talk explores how to involving a wide community of users in collaborative management of open data activities within a Smart City. The talk discusses how crowdsourcing techniques can be applied within a Smart City context using crowdsourcing and human computation platforms such as Amazon Mechanical Turk, Mobile Works, and Crowd Flower.
The Open Data Institute (ODI) aims to catalyze open data culture to create economic, environmental and social value. Led by CEO Gavin Starks, the ODI brings together experts from various sectors to establish standards, conduct research, provide training and drive innovation around open data. The ODI has experienced growth in funding and impact, helping startups and achieving savings in the UK health sector through open data projects.
This document discusses the concept of reciprocal open source government (roseGOV), where governments openly share open source approaches for public services like licensing, health, education, and justice. The idea originated from presentations by Tim O'Reilly on "Government as a Platform" and the UK's "Better for Less" initiative. Proponents argue that open sharing of approaches between countries like Norway and the UK could reduce costs while improving services. International groups like the Digital 9 nations have endorsed principles of open standards, source, government and connectivity to share digital best practices globally. The document proposes that roseGOV sharing will spread to help governments worldwide respond more effectively to "wicked problems" like climate change and poverty.
This document discusses a project called Digital Social Innovation that has three objectives: defining and understanding digital social innovation's potential, crowdmapping organizations working in the field, and developing policy recommendations to better support it. The project will map over 1,000 organizations across Europe involved in digital social innovation through open knowledge, open networks, open data and open hardware. It will analyze the network connections and identify strong and weak networks. The findings will feed into recommendations for the European Commission to better support this area. The project website is digitalsocial.eu, which aims to be a long-term resource for the digital social innovation community.
Jisc aims to enhance the globalization of UK higher education and further education through five key strategies by 2019: 1) focusing products in areas that make the most difference, 2) becoming a recognized partner to further education, 3) strengthening their position supporting UK research, 4) growing their international offering, and 5) mirroring the sector's shift towards integration.
The international strategy has three strategic priorities: 1) supporting members globally, 2) utilizing expertise to generate income internationally, and 3) maintaining leadership and partnerships globally. Specific objectives include understanding members' international needs, developing globally relevant services, exporting UK expertise, and increasing engagement with international organizations.
Save money and consolidate data in one safe environment - Jisc Digital Festiv...Jisc
Making the right decision about how and where to manage your data is key to an organisation’s IT strategy. The new Jisc shared data centre has been procured to provide a cost effective environment to co-locate systems and services in one safe environment.
So whether you are supporting enterprise activities or high end research, the Jisc shared data centre can provide significant benefits to your organisation.
This document summarizes initiatives to support innovation and startups in the Paris region. It describes several programs: incubators that provide services and sector expertise to early-stage startups; the Paris Region Lab which supports live experimentation of projects in urban environments; the Open Innovation Club to connect large corporations with startups; and R&D collaborative projects through clusters like Systematic to foster partnerships between organizations. It also outlines international collaborations between Inria and US institutions like UC Berkeley through the Inria@Silicon Valley program and the CityLab initiative on smart cities.
Highlights of what is coming - presentation from Paul FeldmanJisc
Jisc plans to upgrade the Janet network to have 600gbps core capacity and use 400gbps optical technology. It will also rearchitect the regional network and explore network virtualization. Jisc will launch several new cybersecurity services including a security portal, DDoS mitigation, and a security conference. It will also offer cloud migration consulting, improve the geospatial service through a partnership, and expand the National Bibliographic Knowledgebase. Additionally, Jisc will provide various digital capability and learning analytics services.
Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...BethBate
This document discusses open data and how it reflects a cultural shift towards a more open and transparent society. It provides examples of how open data is used, such as Wikipedia and messaging services. It then discusses the Heritage and Culture challenge run by the Open Data Institute (ODI) and Nesta to use open data to engage more people in UK heritage and culture. It provides details on the challenge winners and judging criteria, which included innovation, social impact, and sustainability. The document concludes by outlining the ODI's Data as Culture art program which commissions art to consider social and ethical implications of data through exhibitions, residencies, and partnerships.
Learning from past infrastructure to embrace friction and create the Research...Research Data Alliance
RDA provides a neutral space for researchers to develop standards and share data across disciplines through working groups and interest groups. It focuses on developing interoperability through deliverables like registries and identifiers. While it doesn't define architecture, it aims to foster connections and provide unity. RDA also takes a "glocal" approach, implementing standards locally while addressing global issues. Friction in collaboration is inevitable but necessary for progress, and RDA provides a place for discussions to work through differences.
This presentation discusses the Research Data Alliance (RDA). RDA has grown to over 2,700 members from 95 countries seeking to openly share data across technologies and disciplines. Its vision is for researchers to address societal challenges through open data sharing. RDA builds social and technical bridges to enable this through 38 interest groups and 16 working groups. Key themes discussed include persistent identifiers for data and entities, and certifying trust in assertions and organizations. The value of relationships and mediation is also emphasized.
Big data and the dark arts - Jisc Digital Media 2015Jisc
There still remains a certain misunderstanding by the very definition of "big data" and the perceived hype around the term. This workshop clarified the concepts and give examples of relevant big data projects.
Stakeholder forum 2015 - The way forward together - Phil RichardsJisc
This document outlines an agenda for a stakeholder forum on moving forward together. It includes sections on research and development pipelines at Jisc, ensuring radical innovation, and group exercises. Upcoming and current projects are briefly described, such as an online tool for participant recruitment, a kit cataloguing system, and tools to analyze higher education datasets. Risk distribution strategies for future projects and the need for bold ideas beyond incremental changes are also mentioned. The document concludes with a list of breakout group topics for the stakeholder forum.
The document outlines principles for citizen engagement in co-creating future cities. It summarizes interviews with organizers of citizen engagement initiatives in cities like Aarhus, Santander, London, and Barcelona. 7 draft principles for citizen engagement are described. The principles emphasize empowering communities, designing for trust around change, facilitating ownership, debating across comfort zones, using challenges to drive innovation, choosing the right venues, and providing a clear process and visibility of outcomes. The document also outlines a proposed "Experimentation as a Service" journey from initial awareness and challenges to co-creation, experimentation, and examination over 17 months.
The slides for my talk on "HPC as a service" at the 25th anniversary Machine Evaluation Workshop in December 2014. I cover Jisc's HPC brokerage and related initiatives including our shared data centre, industry connectivity to Janet, our VAT cost sharing group, and our pilot of the Kit-Catalogue equipment sharing database.
Stakeholder forum 2015 - 2015 and beyond - Martyn HarrowJisc
This document summarizes key points from a January 2015 stakeholder forum discussing challenges and opportunities for the coming years. The CEO notes that digital tools provide enormous potential through shared approaches. Jisc, as the UK-wide vehicle with expertise and transformed costs, is uniquely positioned to help sectors facing unprecedented challenges by delivering gains now and ahead, giving the UK an advantage envied by other nations.
The Safe Share Project is a pilot project running from 2014-2017 that enables the secure exchange of health data between universities and research institutions. It uses an encrypted overlay network over Janet to facilitate analysis while protecting sensitive data. The goal is to further medical research on diseases and treatments through collaborative analysis of data, in a way that maintains public trust through secure handling of personal information.
Crowdsourcing Approaches for Smart City Open Data ManagementEdward Curry
A wide-scale bottom-up approach to the creation and management of open data has been demonstrated by projects like Freebase, Wikipedia, and DBpedia. This talk explores how to involving a wide community of users in collaborative management of open data activities within a Smart City. The talk discusses how crowdsourcing techniques can be applied within a Smart City context using crowdsourcing and human computation platforms such as Amazon Mechanical Turk, Mobile Works, and Crowd Flower.
The Open Data Institute (ODI) aims to catalyze open data culture to create economic, environmental and social value. Led by CEO Gavin Starks, the ODI brings together experts from various sectors to establish standards, conduct research, provide training and drive innovation around open data. The ODI has experienced growth in funding and impact, helping startups and achieving savings in the UK health sector through open data projects.
This document discusses the concept of reciprocal open source government (roseGOV), where governments openly share open source approaches for public services like licensing, health, education, and justice. The idea originated from presentations by Tim O'Reilly on "Government as a Platform" and the UK's "Better for Less" initiative. Proponents argue that open sharing of approaches between countries like Norway and the UK could reduce costs while improving services. International groups like the Digital 9 nations have endorsed principles of open standards, source, government and connectivity to share digital best practices globally. The document proposes that roseGOV sharing will spread to help governments worldwide respond more effectively to "wicked problems" like climate change and poverty.
This document discusses a project called Digital Social Innovation that has three objectives: defining and understanding digital social innovation's potential, crowdmapping organizations working in the field, and developing policy recommendations to better support it. The project will map over 1,000 organizations across Europe involved in digital social innovation through open knowledge, open networks, open data and open hardware. It will analyze the network connections and identify strong and weak networks. The findings will feed into recommendations for the European Commission to better support this area. The project website is digitalsocial.eu, which aims to be a long-term resource for the digital social innovation community.
Jisc aims to enhance the globalization of UK higher education and further education through five key strategies by 2019: 1) focusing products in areas that make the most difference, 2) becoming a recognized partner to further education, 3) strengthening their position supporting UK research, 4) growing their international offering, and 5) mirroring the sector's shift towards integration.
The international strategy has three strategic priorities: 1) supporting members globally, 2) utilizing expertise to generate income internationally, and 3) maintaining leadership and partnerships globally. Specific objectives include understanding members' international needs, developing globally relevant services, exporting UK expertise, and increasing engagement with international organizations.
Save money and consolidate data in one safe environment - Jisc Digital Festiv...Jisc
Making the right decision about how and where to manage your data is key to an organisation’s IT strategy. The new Jisc shared data centre has been procured to provide a cost effective environment to co-locate systems and services in one safe environment.
So whether you are supporting enterprise activities or high end research, the Jisc shared data centre can provide significant benefits to your organisation.
This document summarizes initiatives to support innovation and startups in the Paris region. It describes several programs: incubators that provide services and sector expertise to early-stage startups; the Paris Region Lab which supports live experimentation of projects in urban environments; the Open Innovation Club to connect large corporations with startups; and R&D collaborative projects through clusters like Systematic to foster partnerships between organizations. It also outlines international collaborations between Inria and US institutions like UC Berkeley through the Inria@Silicon Valley program and the CityLab initiative on smart cities.
Highlights of what is coming - presentation from Paul FeldmanJisc
Jisc plans to upgrade the Janet network to have 600gbps core capacity and use 400gbps optical technology. It will also rearchitect the regional network and explore network virtualization. Jisc will launch several new cybersecurity services including a security portal, DDoS mitigation, and a security conference. It will also offer cloud migration consulting, improve the geospatial service through a partnership, and expand the National Bibliographic Knowledgebase. Additionally, Jisc will provide various digital capability and learning analytics services.
Hannah Redler, Open Data Institute: What's Art Got To Do With It? Data As Cul...BethBate
This document discusses open data and how it reflects a cultural shift towards a more open and transparent society. It provides examples of how open data is used, such as Wikipedia and messaging services. It then discusses the Heritage and Culture challenge run by the Open Data Institute (ODI) and Nesta to use open data to engage more people in UK heritage and culture. It provides details on the challenge winners and judging criteria, which included innovation, social impact, and sustainability. The document concludes by outlining the ODI's Data as Culture art program which commissions art to consider social and ethical implications of data through exhibitions, residencies, and partnerships.
Learning from past infrastructure to embrace friction and create the Research...Research Data Alliance
RDA provides a neutral space for researchers to develop standards and share data across disciplines through working groups and interest groups. It focuses on developing interoperability through deliverables like registries and identifiers. While it doesn't define architecture, it aims to foster connections and provide unity. RDA also takes a "glocal" approach, implementing standards locally while addressing global issues. Friction in collaboration is inevitable but necessary for progress, and RDA provides a place for discussions to work through differences.
This presentation discusses the Research Data Alliance (RDA). RDA has grown to over 2,700 members from 95 countries seeking to openly share data across technologies and disciplines. Its vision is for researchers to address societal challenges through open data sharing. RDA builds social and technical bridges to enable this through 38 interest groups and 16 working groups. Key themes discussed include persistent identifiers for data and entities, and certifying trust in assertions and organizations. The value of relationships and mediation is also emphasized.
RDA is an international organization focused on data sharing and exchange. It has over 4,200 members from over 110 countries working to reduce barriers to data sharing across disciplines. RDA develops infrastructure and standards to enable open data sharing through working groups. Its goals are to address challenges like reproducibility, data preservation, and metadata. Members come from academia, government, industry and collaborate on technical solutions and social aspects of data stewardship.
The document provides an overview of the Research Data Alliance (RDA) organizational structure and processes. It describes the key components including the Organizational Advisory Board, Technical Advisory Board, Secretariat, Council, Interest Groups, and Working Groups. It discusses the roles and responsibilities of each component. It also outlines some important documents, plans, and operational issues for 2015, including strategic planning, funding needs, and improving coordination across groups. The overall purpose is to give an update on the status of RDA's organization and processes.
The Research Data Alliance (RDA) is an international organization focused on data sharing infrastructure and community activities. It has over 3,200 members from over 100 countries, representing data professionals from academia, libraries, earth sciences, astronomy and other disciplines. RDA develops recommendations and standards to reduce barriers to data sharing through working groups. It aims to enable open sharing of data to address societal challenges. Members collaborate on issues like reproducibility, data preservation, and metadata through regional and global activities. RDA membership is free and open to any individual or organization with an interest in data sharing.
The Research Data Alliance: Opportunities for Public/Private Partnerships in...Research Data Alliance
The document discusses the Research Data Alliance (RDA), an international organization focused on reducing barriers to data sharing and exchange. It provides information on:
- What RDA is and its goals of openly sharing data across technologies, disciplines and countries.
- RDA's activities including working groups and interest groups focused on developing infrastructure, standards, and best practices.
- Benefits of RDA membership for individuals, researchers, enterprises/businesses, and policymakers.
- Examples of RDA recommendations and outputs like data citation standards and metadata directories.
- RDA community size and composition, including over 4,000 members from 110 countries in academia, government, and private industry.
The Research Data Alliance (RDA) is an international organization with over 3,200 members from over 100 countries that works to reduce barriers to data sharing and exchange. RDA develops infrastructure and standards to facilitate data sharing across disciplines and borders. It has numerous working groups addressing issues like metadata, data citation, and interoperability. Membership is free and open to individuals and organizations with an interest in open data. RDA produces recommendations and outputs to enhance data infrastructure, practices, and policies. It holds plenary meetings to discuss progress and foster collaboration.
This document summarizes a presentation by Mark A. Parsons on infrastructure, relationships, trust, and the Research Data Alliance (RDA). The presentation discusses how research infrastructure now requires electronic infrastructure (e-infrastructure) due to data-intensive science. It also discusses how infrastructure emerges through relationships between people, technologies, and institutions. The RDA is introduced as a community working to build social and technical bridges to enable open data sharing across disciplines. Initial and future products being developed by RDA working groups are also summarized.
This document provides an update on the Research Data Alliance (RDA) from June 2015. It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 2,900 members from 102 countries. It also lists several outputs and deliverables produced by RDA working groups to enable improved data sharing, including standards for data citation, metadata and data type registries.
Infrastructure is often thought of as a complex physical construct usually designed to transport information or things (e.g. electricity, water, cars, money, sound, data…). The Research Data Alliance (RDA) takes a more holistic view and considers infrastructure as a complex body of relationships between people, machines, and organisations.
This paper will describe how this more ecological perspective leads RDA to define and govern an agile virtual organization. We seek to harness the power of the volunteer, through an open problem solving approach that focusses on the problems of our individual members and their organisations. We focus on implementing solutions that make data sharing work better without defining a priori what is necessary. We do not judge the fitness of a solution, per se, but instead assess how broadly the solution is adopted, recognizing that adoption is often the social challenge of technical problem.
We seek to encourage a bottoms up approach with light guidance on principles from the top. The goal is to develop community solutions that solve real problems today yet are adaptive to changing technologies and needs.
The Research Data Alliance (RDA) is an international organization focused on data sharing and exchange. It has over 3,200 members from over 100 countries, representing data professionals from academia, libraries, science, and more. RDA builds connections to enable open data sharing across technologies and disciplines to address societal challenges. Members collaborate through Working Groups and Interest Groups to develop recommendations and standards on issues like metadata, data citation, and interoperability to facilitate global data sharing.
Rohit Sethi is a WebSphere Administrator with over 2 years of experience administering WebSphere Application Server versions 6.0, 6.1, 7.0, and 8.0 on Linux, AIX, and Windows operating systems. He has extensive experience installing, configuring, and troubleshooting WebSphere, including enabling security, SSL, JVM tuning, and session management. Currently working as a WebSphere Administrator at Igate Global Solutions for their client Metlife, his responsibilities include domain configuration, monitoring, ticket management, and providing 24/7 support.
CoBRA guideline : a tool to facilitate sharing, reuse, and reproducibility of...Research Data Alliance
CoBRA is a reporting guideline that provides a standardized way to cite bioresources in scientific publications. It aims to improve transparency, openness, and reproducibility of research. The guideline recommends citing each bioresource used in the methods section with its name, ID, organization, number of access, and date of last access. Adding a [BIORESOURCE] tag helps track bioresource use. CoBRA endorsement by organizations like EQUATOR and BBMRI-ERIC aims to facilitate its wider adoption.
LIBER is a network of research libraries in Europe that aims to enable world-class research. The document discusses the benefits of open data and making research data FAIR (Findable, Accessible, Interoperable, Reusable). It notes that collaboration has increased in research and is important for addressing challenges. The vision is for open access and open data to be the default in research by 2022. Barriers to open data include cultural issues and lack of skills and infrastructure. The European Union supports open science and mandates open access and open data pilot programs. Research libraries provide services to support open data and FAIR principles.
Final version of the general presentation that the RDA Secretary General presented about a dozen times at various conferences and workshops around Europe in the last two months.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,300 members from 104 countries. It also lists several outputs and deliverables produced by RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it outlines RDA's organizational structure and previews upcoming plenary meetings in future years.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also summarizes several outputs and deliverables from RDA working groups, including standards for data citation, metadata directories and data type registries. Finally, it previews upcoming RDA plenary meetings in places like Paris, Tokyo, and the United States.
This document provides an update on the Research Data Alliance (RDA). It summarizes that the RDA community focuses on building infrastructure to reduce barriers to data sharing and accelerate the development of coordinated global data infrastructure. It notes that the RDA has grown significantly since its launch in 2013 and now has over 3,000 members from over 100 countries. It also lists several outputs and deliverables that RDA working groups have produced to enable increased data sharing and interoperability.
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
Sustainability, efficiency, and innovation need data, but its availability is limited due to interoperability challenges and fear that the data may be misused. This is why a new approach is being created to enable cross-domain data sharing in a federated and sovereign manner: it is the new paradigm of “data spaces”. This keynote will give an insight on the data spaces approach and will shed light on its current developments and adoption on a European and global scale.
The Research Data Alliance (RDA) is an international organization with over 9,499 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has developed 32 flagship technical specifications and standards, and their recommendations have been adopted in 75 cases across multiple disciplines, organizations, and countries. RDA members collaborate in 85 working and interest groups focused on issues like interoperability, data stewardship, and community needs. The organization's vision is for researchers to openly share data to address societal challenges.
This document summarizes an update on the Research Data Alliance (RDA). It discusses the growth of RDA membership and activities. Key points include:
- RDA works to reduce barriers to data sharing and exchange by building social, organizational and technical infrastructure.
- RDA has grown significantly since its launch in 2013, with over 2,500 members from over 90 countries working in various working groups.
- Working groups focus on developing deliverables like standards, best practices and code to enable data sharing in various domains and for community needs, data stewardship, and base infrastructure.
- The first deliverables have been presented, with more to come, aimed at making data sharing and discovery more trustworthy
LIBER Webinar: Turning FAIR Data Into RealityLIBER Europe
These slides relate to a LIBER Webinar given on 23 April 2018. Turning FAIR Data Into Reality — Progress and Plans from the European Commission FAIR Data Expert Group.
In this webinar, Simon Hodson, Executive Director of CODATA and Chair of the FAIR Data Expert Group, and Sarah Jones, Associate Director at the Digital Curation Centre and Rapporteur, reported on the Group’s progress.
The Research Data Alliance (RDA) aims to build social and technical bridges that enable open sharing of data. It has over 9,000 members from 137 countries working in 83 groups to address challenges like interoperability, best practices, and more. RDA produces recommendations and specifications to help researchers openly share data across technologies and disciplines to solve societal challenges.
The Research Data Alliance (RDA) is an international organization with over 9,400 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. Its mission is to reduce barriers to data sharing across technologies, disciplines and countries. RDA has numerous working groups and interest groups addressing challenges such as metadata, citation, preservation, and more. Membership is open and free for individuals and provides opportunities for collaboration.
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.
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
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.
CIARD Información accesible para todos (Inglés)RIBDA 2009
1. The document discusses CIARD, a new global partnership formed in 2008 to provide coherence between agricultural research information initiatives and ensure that information is accessible to all.
2. CIARD's vision is to make public agricultural research information widely accessible. It aims to coordinate efforts, promote common standards, and adopt open systems among partner organizations.
3. The document outlines CIARD's objectives, principles, and pathways to achieving its vision through capacity building, sharing content, technical coherence, and investment.
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.
The Research Data Alliance (RDA) is an international organization with over 11,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing and re-use of research data across technologies, disciplines, and borders. RDA has 36 working groups and 57 interest groups addressing challenges in domains like agriculture, health, materials science, and more. It has produced 50 technical specifications and standards to reduce barriers to data sharing.
Using information to power innovation. The document discusses a framework for information and data sharing presented at the Second Global Conference on Agricultural Research for Development. It summarizes that [1] innovation requires greater information sharing and access to research outputs, [2] current barriers include low investment in research communication and restricted access to information, and [3] an integrated approach is needed involving policies, capacity development, and collective efforts to make data more accessible and accelerate rural development.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries that works to reduce barriers to data sharing and exchange. RDA brings together researchers, scientists, and data professionals through Working Groups and Interest Groups to develop standards and best practices for data infrastructure and sharing. RDA has produced 50 outputs including technical specifications and has groups working on issues across multiple disciplines.
The Research Data Alliance (RDA) is an international organization focused on building the social and technical infrastructure to enable open sharing of data. It has over 10,000 individual members from 144 countries collaborating in Working and Interest Groups to develop recommendations and standards to reduce barriers to data sharing. Some of RDA's achievements include 47 flagship outputs, 100+ adoption cases, and 93 active groups addressing challenges such as metadata, repositories, legal issues, and more. The ultimate goal is to allow researchers and innovators to openly share data across technologies and disciplines to address societal challenges.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing of data. It has 98 working groups and interest groups addressing challenges such as interoperability, data citation, metadata standards, and skills training. The RDA produces recommendations and outputs that are adopted by data repositories, domain organizations, and research communities to reduce barriers to data sharing and exchange.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines, and countries to address societal challenges. The RDA has produced 45 flagship recommendations and outputs and has over 100 cases of adoption across domains. It has 95 active working and interest groups focusing on issues like specific domains, data stewardship, and infrastructure.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 145 countries working to build the social and technical infrastructure to enable open sharing of data. RDA has 91 working groups and interest groups focused on issues like different academic disciplines, legal and technical interoperability, and community needs. The organization has produced 37 flagship recommendations and outputs that have been adopted over 100 times to help reduce barriers to sharing data internationally.
The Research Data Alliance (RDA) is an international organization with over 10,000 members from 144 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines, and countries to address societal challenges. RDA has over 100 groups working on data interoperability issues and has produced 37 flagship outputs, including technical specifications, with over 100 adoption cases in various organizations and disciplines.
The Research Data Alliance (RDA) is an international organization with over 9,859 members from 144 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines and countries to address societal challenges. RDA has 85 groups working on data interoperability challenges through Working Groups and Interest Groups. It has produced 32 outputs including technical specifications and seen adoption in over 100 cases. RDA membership is open and free for individuals and provides benefits such as networking and skills development, while organizational membership provides additional benefits such as influencing RDA activities.
The Research Data Alliance (RDA) is an international organization with over 9,600 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. Its vision is for researchers to openly share data across technologies, disciplines, and countries to address societal challenges. RDA has 85 working and interest groups collaborating to develop recommendations and standards to reduce barriers to data sharing. It has produced 32 flagship recommendations that have been adopted in over 75 cases by organizations worldwide. Membership is open and free for individuals and provides opportunities to work on global data interoperability challenges.
The Research Data Alliance (RDA) aims to facilitate data sharing across disciplines to address societal challenges. Individuals are encouraged to engage with RDA to contribute their expertise to discussions and recommendations, access an international network, receive updates on RDA's work, participate in meetings, and gain experience in all stages of the data lifecycle. RDA benefits from individual participation, as individuals bring ideas, problems, and solutions to create a valuable global community focused on reducing barriers to data sharing.
The Research Data Alliance (RDA) aims to facilitate data sharing across disciplines to address societal challenges. Individuals are encouraged to engage with RDA to contribute their expertise to discussions and recommendations, access an international network, receive updates on RDA's work, participate in meetings, and gain experience in all stages of the data lifecycle. RDA benefits from individual participation, as individuals bring ideas, problems, and solutions to create a valuable global community focused on reducing barriers to data sharing.
The document discusses the value of research infrastructure providers engaging with the Research Data Alliance (RDA). It outlines that RDA works to enable open sharing of research data globally across disciplines to address societal challenges. As research is global, infrastructure providers need globally compatible services, and RDA ensures this. The document provides reasons for providers to engage with RDA, such as access to an international network and opportunities to collaborate on data standards. It also describes ways providers can engage, such as joining RDA groups or attending meetings.
The Research Data Alliance (RDA) is an international organization with over 8,900 members from 137 countries working to build the social and technical infrastructure to enable open sharing of data. The RDA has developed 32 flagship recommendations and specifications to reduce barriers to data sharing, and has seen 75 cases of adoption across multiple disciplines and countries. It convenes various working and interest groups to develop solutions to challenges in areas like reference frameworks, data stewardship, and community needs.
The Research Data Alliance (RDA) aims to facilitate open sharing of data across technologies and disciplines to address societal challenges. There are two main components - the volunteer community that builds social and technical connections through Working Groups, and the business operations that support the community. Organizations performing research can engage with RDA in various ways like sponsorship, membership, or participation in Working Groups to help shape standards and address issues like data management, quality, and interoperability. RDA offers a global network and opportunities for collaboration on solutions to research data challenges.
The document discusses the value of libraries engaging with the Research Data Alliance (RDA). It outlines several benefits libraries can gain from involvement such as interacting with data professionals, developing strategic partnerships, and gaining expertise. Libraries are encouraged to become organizational members of RDA, have staff join working groups, adopt RDA recommendations, and send representatives to plenaries. RDA works to address challenges around research data reproducibility, preservation, best practices, and more through global collaboration. Libraries are positioned to augment RDA's network as bridges between data activities and open sharing.
The document discusses ways that research funders can engage with and benefit from the Research Data Alliance (RDA). RDA works to build infrastructure for open data sharing across disciplines. Funders that support RDA can get more value from the research they fund through improved data quality, reuse, and benefits to stakeholders. Funders can encourage adoption of RDA outputs, support RDA operations, participate in forums, and sponsor events, fellowships, and pilots implementing RDA recommendations. Engaging with RDA helps funders deliver more benefits from research and supports RDA's work of improving data sharing.
The Research Data Alliance (RDA) aims to build social and technical bridges to enable open sharing of data. It has over 8,800 members from 137 countries working in 87 groups to develop recommendations and standards to reduce barriers to data sharing. Some of RDA's outputs include recommendations on data citation, metadata standards, and repository interoperability.
The document discusses the value of the Research Data Alliance (RDA) for regions. It outlines how RDA supports regions in their work and business through various activities like disseminating regional efforts, facilitating connections, and providing organizational support. Regions also contribute value to RDA through participation in activities, hosting events, and providing financial support. The goal is to foster international collaboration to address challenges in sharing data across borders.
The Research Data Alliance (RDA) is an international organization with over 8,600 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 104 working groups and interest groups that collaborate globally to develop recommendations and standards to reduce barriers to data sharing. Key activities of RDA include developing specifications, assessing community needs, and addressing challenges related to data citation, metadata, and interoperability.
The Research Data Alliance (RDA) is an international organization with over 8,400 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 103 working groups and interest groups that collaborate globally to develop recommendations and outputs to reduce barriers to data sharing. Some of RDA's accomplishments include 32 flagship outputs, 75 adoption cases of their recommendations, and involvement of members from academia, public administration, and enterprise/industry.
The Research Data Alliance (RDA) is an international organization with over 8,200 members from 137 countries that works to build social and technical bridges to enable open sharing of data. RDA has 103 working groups and interest groups that collaborate globally to develop recommendations and outputs to reduce barriers to data sharing. Key activities of RDA groups include developing standards, addressing challenges in domains like agriculture and health, and ensuring data is reusable through practices like data citation.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
RDA 6th Plenary Partnership opportunities
1.
2. The RDA Vision is researchers and
innovators openly sharing data
across technologies, disciplines, and
countries to address the grand
challenges of society.
RDA Working Group
Infrastructure Deliverables are:
Focused pieces of adopted code, policy,
infrastructure, standards, or best practices that
enable data to be shared and exchanged
“Harvestable” efforts for which 12-18 months of
work can eliminate a roadblock for a substantial
community
Efforts that have substantive applicability to
“chunks” of the data community, but may not
apply to everyone
Efforts for which working scientists and
researchers can start today while more long-term
or far-reaching solutions are appropriately
discussed in other venues
Plenary 2 Washington, DC
CREATE > ADOPT > USEwww.rd-alliance.org
Research Data Alliance
Builds the social and technical bridges that enable open sharing of data
3. 393
993
1276
1658
2051
2407
2639
2851
May - July 13 Aug - Oct 13 Nov - Jan 14 Feb - Apr 14 May - July 14 Aug - Oct 15 Nov - Jan 15 Feb - Apr 15
Africa
2%
Asia
6%
Australasia
4%
Europe
49%
North
America
38%
South
America
1%
2,850 RDA
Members
in 99 Countries
Total RDA Community Members: 2851
+103 from March 15
Research Data Alliance
The community today
4. The Research Data Alliance is supported by the
Australian Commonwealth Government through the Australian National
Data Service supported by the National Collaborative Research
Infrastructure Strategy Program and the Education Investment Fund (EIF)
Super Science Initiative ;
European Commission through the RDA Europe project funded under the
7th Framework & Horizon2020 programmes;
United States of America through the RDA/US activity funded by
the National Science Foundation and other U.S. agencies.
Research Data Alliance
supported by
5. Research Data Alliance
Precipitous growth
RDA Launch /
First Plenary
March 2013
RDA Second
Plenary
September 2014
RDA Third
Plenary
March 2014
RDA Fourth
Plenary
September 2014
RDA Fifth
Plenary
March 2015
Amsterdam,
Netherlands
Washington,
DC, USA Dublin, Ireland
Gothenburg,
Sweden
240
participants
from 22
countries
380
participants
from 22
countries
497
Participants
from 32
countries
San Diego,
CA, USA
550
Participants
from 40
countries
383
Participants
from 30
countries
6. Domain Science
Community needs
Reference and sharing
Data Stewardship and services
Basic infrastructure
Research Data Alliance
Interest and Working Groups
Some Interest Groups (IG):
Agriculture Data Interest Group
Big Data Analytics
Biodiversity Data Integration
Development of cloud computing capacity
and education in developing world research
Ethics and Social Aspects of Data
Quality of Urban Life
Data for Development
…
Some Working Groups (WG) :
PID Information Types WG
Data Description Registry Interoperability
Practical Policy WG
…
RDA mission is mainly accomplished through around 16 Working and 42 Interest groups
IG & WG by focus
7. • 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.
• Metadata standards directory: Community curated standards catalogue
for metadata interoperability
• Dynamic 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
Research Data Alliance
RDA Outputs for Adoption
8. Organized by Cap Digital, RDA and RDA Europe
23rd to 25th September 2015 in Paris
500 to 700 international attendees from 40 countries
In the center of Paris, at the Conservatoire des Arts et Métiers (Cnam) promoting
technological innovation, scientific knowledge and the spirit of creation.
Plenary, Breakout sessions, Experimentation Day, Climate Change Data Challenge,
Networking events …
Our Goal : Enterprise Engagement
with a focus on Research Data for Climate Change
9. Experimentation Day : focus on Research Data for Climate Change
France will be hosting the 21st United Nations Climate Change Conference (COP21) from
November 30th to December 11th. In order to echo back to this crucial global event, we
want to demonstrate how the work of RDA is a key to numerous climate change issues.
An “Experimentation Day” will host
startups and companies along side RDA
groups which will have the opportunity to
demonstrate their solutions.
An international call for demonstrations on
climate-related data process will be
launched soon and selected projects will be
showcased in Paris on September 24th.
10. Connecting Climate Change related data sets with practical application
As a part of the special focus on Research Data for Climate Change we will create a
special Challenge designed to connect Climate Change related Data Sets with practical
applications.
The challenge with its associated data sets will be announced during Futur en Seine,
the international digital festival in Paris in June.
The 3 most promising solutions will be highlighted during the Experimentation Day
during Plenary 6.
The challenge winner will be announced during P6 Plenary on last day.
Demonstration of the winner’s solution and data set during the UN Climate Change
Conference (COP21) in December *to be confirmed
Climate Change Data Challenge
11. SILVER Partnership 5 000 €
Promote your company in an international event gathering industry and academic
experts , world leaders involved in the data ecocsystem !
Online and Social Networks Visibility
Video trailer
Dedicated event page on Research Data Alliance website
Dedicated event page on Cap Digital website
RDA and Cap Digital Social Networks (Twitter, Facebook, LinkedIn)
3 days on-site Visibility
Partner’s logo displayed during plenary meeting (opening and closing)
Possibility to add your documentation or goodies in 500/700 “welcome pack”
distributed to attendees
• Your logo will appear on attendees badges
• Logo on paper program included in badges
• Brand display during coffee break and lunch
12. GOLD Partnership 10 000 €
Increase your visibility !
The Gold Partnership includes
The Silver Partnership features
Booth during the Experimentation Day
Premium display during:
- The networking cocktail
- The social event : a boat tour on the Seine to foster
exchanges while discovering Paris in an original setting
13. PLATINIUM Partnership 15 000 €
Promote your company !
The Platinum Partnership includes
Silver & Gold Partnership features
Premium display on Climate Change Data Challenge Communication
materials – Starting in June
14. RDA Plenary 6 meeting is organized by :
RDA Plenary 6 meeting is supported by :
15. Patrick Cocquet - CEO of Cap Digital
Patrick.cocquet@capdigital.com
Aurélia Michelix – Event project manager
Aurelia.michelix@capdigital.com +33 6 83 50 85 27 - +33 1 40 41 74 99
Romain Melet – Data Project Manager
Romain.melet@capdigital.com +33 6 45 80 60 42