This series of presentations was given at the EarthCube Data Facilities End-User Workshop held January 15-17, 2014 in Washington, DC. This workshop provided a forum to discuss the unique requirements and challenges associated with developing the communication, collaboration, interoperability, and governance structures that will be required to build EarthCube in conjunction with existing and emerging NSF/GEO facilities.
This panel and presentation, specifically, outlined and explained several exemplars in global data sharing, featuring:
Lindsay Powers (CoopEUS)
Tim Ahern (GEO/GEOSS)
Bernard Minster (World Data System)
Beth Plale (Research Data Alliance)
Doug Wilson - GOOS Regional Alliance for the IOCARIBE RegionIwl Pcu
The mandate to establish a Global Ocean Observing System (GOOS) was formally articulated and ratified in 1992 at the UN Conference on Environment and Development (UNCED) in Rio de Janeiro. Specifically, Agenda 21 calls for the establishment of a global ocean observing system that will enable effective management of the marine environment and sustainable utilization of its natural resources.
Exploring the future of scholarly publishing of biodiversity dataVishwas Chavan
Little more than decade back biodiversity data publishing was opportunistic and secondary spin-off activity of the biodiversity research and conservation management chain. Today, the Global Biodiversity Information Facility facilitate free and open access to over 420 million primary biodiversity data records contributed by publishers across the globe. This is an outcome of a growing realization that free and open access to biodiversity data is crucial to take informed decisions and actions for sustainable use of biotic resources and conservation of biodiversity areas. In recent past use of biodiversity data in research, conservation and management activities is on rise. However, users often complain about the low degree of ‘fitness-for-use’ of the accessible data. Most of the times potential use of data is hampered because of lack of adequate metadata, that can demonstrate the fintness-for-use of a given dataset.
To overcome this an appropriate incentivisation mechanism is essential, that can provide due credit and acknowledgement to a research groups for their efforts in authoring good metadata. In recent past a concept of ‘scholarly data publishing’ is being talked about where in both data and metadata undergo peer-review similar to other scientific publications. Pensoft publishing has launched a fresh data only journal called ‘Biodiversity Data Journal, and accepts data papers in six of its other journal titles. European aquatic biodiversity community through EU funded project ‘BioFresh’ has engaged with editors of 29 aquatic biodiversity journals to being accepting data papers. GBIF node in Columbia and South Africa are planning to kick start a journal that will publish data papers. Recently, Nature Publishing Group has announced a peer-reviewed data publishing only journal called ‘Scientific Data’. These developments announce the arrival of the new data publishing era ‘Scholarly Data Publishing’. Biodiversity science and biodiversity informatics stands to gain a lot by being on the forefront of this tide.
4D Weather Cube is the next generation of hyper-local dimensionalized weather. It can be viewed on 3D displays without glasses and non-3D displays in a lower resolution video file. The prediction engine can provide granular hyper-local detail for the next 90 minutes of climate and weather related information
Doug Wilson - GOOS Regional Alliance for the IOCARIBE RegionIwl Pcu
The mandate to establish a Global Ocean Observing System (GOOS) was formally articulated and ratified in 1992 at the UN Conference on Environment and Development (UNCED) in Rio de Janeiro. Specifically, Agenda 21 calls for the establishment of a global ocean observing system that will enable effective management of the marine environment and sustainable utilization of its natural resources.
Exploring the future of scholarly publishing of biodiversity dataVishwas Chavan
Little more than decade back biodiversity data publishing was opportunistic and secondary spin-off activity of the biodiversity research and conservation management chain. Today, the Global Biodiversity Information Facility facilitate free and open access to over 420 million primary biodiversity data records contributed by publishers across the globe. This is an outcome of a growing realization that free and open access to biodiversity data is crucial to take informed decisions and actions for sustainable use of biotic resources and conservation of biodiversity areas. In recent past use of biodiversity data in research, conservation and management activities is on rise. However, users often complain about the low degree of ‘fitness-for-use’ of the accessible data. Most of the times potential use of data is hampered because of lack of adequate metadata, that can demonstrate the fintness-for-use of a given dataset.
To overcome this an appropriate incentivisation mechanism is essential, that can provide due credit and acknowledgement to a research groups for their efforts in authoring good metadata. In recent past a concept of ‘scholarly data publishing’ is being talked about where in both data and metadata undergo peer-review similar to other scientific publications. Pensoft publishing has launched a fresh data only journal called ‘Biodiversity Data Journal, and accepts data papers in six of its other journal titles. European aquatic biodiversity community through EU funded project ‘BioFresh’ has engaged with editors of 29 aquatic biodiversity journals to being accepting data papers. GBIF node in Columbia and South Africa are planning to kick start a journal that will publish data papers. Recently, Nature Publishing Group has announced a peer-reviewed data publishing only journal called ‘Scientific Data’. These developments announce the arrival of the new data publishing era ‘Scholarly Data Publishing’. Biodiversity science and biodiversity informatics stands to gain a lot by being on the forefront of this tide.
4D Weather Cube is the next generation of hyper-local dimensionalized weather. It can be viewed on 3D displays without glasses and non-3D displays in a lower resolution video file. The prediction engine can provide granular hyper-local detail for the next 90 minutes of climate and weather related information
The Earth is a system of systems - GEOSS - Global Earth Observation System o...Christina Parmionova
The GEOSS Portal is an online map-based user interface which allows users to discover and access Earth observation data and resources from different providers from all over the world.
The portal is implemented and operated by the European Space Agency and provides a single internet discovery and access point to the ever-growing quantities of heterogeneous collections of Earth observations from satellites, airplanes, drones and in-situ sensors at global, regional and local scales through the Global Earth Observation System of Systems (GEOSS).
The GEOSS is a social and software ecosystem connecting a large array of observing systems, data systems and processing services to strengthen monitoring of the state of the Earth. It facilitates data and information accessibility and interoperability to support the Sustainable Development Goals (SDG) agenda and the Disaster Risk Reduction.
The GEOSS Platform is the cornerstone around which the GEOSS software ecosystem is implemented. The GEOSS Platform is the “glueware” that enables the connection and coordination of the many autonomous and multi-organizational systems and services contributing to GEOSS
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
Sediment Experimentalist Network (SEN): Sharing and reusing methods and data ...hsuleslie
Presentation given to the Summer Institute for Earth Surface Dynamics (SIESD) 2014 at St. Anthony Falls Laboratory, University of Minnesota, about the Sediment Experimentalist Network (SEN). SEN is an EarthCube Research Coordination Network, whose goal is to integrate the efforts of sediment experimentalists and build a knowledge base for guidance on best practices for data collection and management.
A presentation given by Peter McKeague (Historic Environment Scotland), Anthony Corns (Discovery Programme, Ireland) and Axel Posluschny (University of Bamberg, Germany) at the European Archaeological Consilium annual meeting in Brighton, March 2015.
Big Data is today: key issues for big data - Dr Ben EvansARDC
Presentation in Canberra: Preparing for your data future seminar
Fri 22 July 2016
Big Data is today: key issues for big data
Dr Ben Evans
NCI - Associate Director
Research Engagements and Initiatives
Geo The Big 5
Challenges and Opportunities Rising from
Open Geospatial
Association for Geographic Information (AGI)
Belfast, 13 May 2014
Tracey P. Lauriault
National Institute for Regional and Spatial Analysis (NIRSA)
National University of Ireland at Maynooth (NUIM)
Ecosystem data and TERN: Genes to geosciences workshop 19 May 2014TERN Australia
Powerpoint presentation used to support the 'Ecosystem data and TERN' workshop on 19 May 2014, held at Macquarie University in Sydney as part of the Genes to Geosciences seminar series.
Stakeholders and synergies of the global soil information systemExternalEvents
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Neil McKenzie from the CSIRO Australia
TITLE: Open Standards Role in EarthCube (Invited)
AUTHORS (FIRST NAME, LAST NAME): Luis E Bermudez1, David K Arctur2, 1, George Percivall1
INSTITUTIONS (ALL): 1. Open Geospatial Consortium, Gaithersburg, MD, United States.
2. University of Texas at Austin, Austin, TX, United States.
ABSTRACT BODY: EarthCube is an NSF initiative that will enable sharing of data in an open and transparent manner, improving access and use of data, allowing scientists to better understand the Earth. EarthCube is based on a network of enthusiasts willing to make the sharing of data a reality. But is just having open data enough? Open data will not accelerate the process a scientist team needs to go through to understand, reformat and use the data. However, agreements among colleagues or adoption of agreements can make a big difference. These agreements also need to be published, freely available, and unpolluted from intellectual property rights issues. The system design requirements to develop cyberinfrastructure for Geosciences need to take into account these open agreements, including open interfaces and open encodings. Once open agreements are in place, it is essential to have in place policy and procedures, and a governance body for maintaining those agreements. This presentation will explore these issues and suggest ways the standard development organizations, like the Open Geospatial Consortium (OGC), and other coordinating organizations, such as the Earth Science Information Partners (ESIP) and the Research Data Alliance (RDA), could be involved in this process.
http://www.opengeospatial.org
In AGU 2013 Session: IN43B. Emerging Concepts for Cyberinfrastructure in the Geosciences
EarthCube Community Webinar held Tuesday, Dec. 9th at 11:00 PST/2:00 EST for a virtual kick-off of the new 'Demonstration Phase' of EarthCube, including statements from your Leadership Council members and an update from NSF Program Officer, Eva Zanzerkia.
The Earth is a system of systems - GEOSS - Global Earth Observation System o...Christina Parmionova
The GEOSS Portal is an online map-based user interface which allows users to discover and access Earth observation data and resources from different providers from all over the world.
The portal is implemented and operated by the European Space Agency and provides a single internet discovery and access point to the ever-growing quantities of heterogeneous collections of Earth observations from satellites, airplanes, drones and in-situ sensors at global, regional and local scales through the Global Earth Observation System of Systems (GEOSS).
The GEOSS is a social and software ecosystem connecting a large array of observing systems, data systems and processing services to strengthen monitoring of the state of the Earth. It facilitates data and information accessibility and interoperability to support the Sustainable Development Goals (SDG) agenda and the Disaster Risk Reduction.
The GEOSS Platform is the cornerstone around which the GEOSS software ecosystem is implemented. The GEOSS Platform is the “glueware” that enables the connection and coordination of the many autonomous and multi-organizational systems and services contributing to GEOSS
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
Sediment Experimentalist Network (SEN): Sharing and reusing methods and data ...hsuleslie
Presentation given to the Summer Institute for Earth Surface Dynamics (SIESD) 2014 at St. Anthony Falls Laboratory, University of Minnesota, about the Sediment Experimentalist Network (SEN). SEN is an EarthCube Research Coordination Network, whose goal is to integrate the efforts of sediment experimentalists and build a knowledge base for guidance on best practices for data collection and management.
A presentation given by Peter McKeague (Historic Environment Scotland), Anthony Corns (Discovery Programme, Ireland) and Axel Posluschny (University of Bamberg, Germany) at the European Archaeological Consilium annual meeting in Brighton, March 2015.
Big Data is today: key issues for big data - Dr Ben EvansARDC
Presentation in Canberra: Preparing for your data future seminar
Fri 22 July 2016
Big Data is today: key issues for big data
Dr Ben Evans
NCI - Associate Director
Research Engagements and Initiatives
Geo The Big 5
Challenges and Opportunities Rising from
Open Geospatial
Association for Geographic Information (AGI)
Belfast, 13 May 2014
Tracey P. Lauriault
National Institute for Regional and Spatial Analysis (NIRSA)
National University of Ireland at Maynooth (NUIM)
Ecosystem data and TERN: Genes to geosciences workshop 19 May 2014TERN Australia
Powerpoint presentation used to support the 'Ecosystem data and TERN' workshop on 19 May 2014, held at Macquarie University in Sydney as part of the Genes to Geosciences seminar series.
Stakeholders and synergies of the global soil information systemExternalEvents
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Neil McKenzie from the CSIRO Australia
TITLE: Open Standards Role in EarthCube (Invited)
AUTHORS (FIRST NAME, LAST NAME): Luis E Bermudez1, David K Arctur2, 1, George Percivall1
INSTITUTIONS (ALL): 1. Open Geospatial Consortium, Gaithersburg, MD, United States.
2. University of Texas at Austin, Austin, TX, United States.
ABSTRACT BODY: EarthCube is an NSF initiative that will enable sharing of data in an open and transparent manner, improving access and use of data, allowing scientists to better understand the Earth. EarthCube is based on a network of enthusiasts willing to make the sharing of data a reality. But is just having open data enough? Open data will not accelerate the process a scientist team needs to go through to understand, reformat and use the data. However, agreements among colleagues or adoption of agreements can make a big difference. These agreements also need to be published, freely available, and unpolluted from intellectual property rights issues. The system design requirements to develop cyberinfrastructure for Geosciences need to take into account these open agreements, including open interfaces and open encodings. Once open agreements are in place, it is essential to have in place policy and procedures, and a governance body for maintaining those agreements. This presentation will explore these issues and suggest ways the standard development organizations, like the Open Geospatial Consortium (OGC), and other coordinating organizations, such as the Earth Science Information Partners (ESIP) and the Research Data Alliance (RDA), could be involved in this process.
http://www.opengeospatial.org
In AGU 2013 Session: IN43B. Emerging Concepts for Cyberinfrastructure in the Geosciences
EarthCube Community Webinar held Tuesday, Dec. 9th at 11:00 PST/2:00 EST for a virtual kick-off of the new 'Demonstration Phase' of EarthCube, including statements from your Leadership Council members and an update from NSF Program Officer, Eva Zanzerkia.
EarthCube Governance Intro for Solar Terrestrial End-user WorkshopEarthCube
Presentation by the EarthCube Test Enterprise Governance project for the Solar Terrestrial Research End-User Workshop, Newark, New Jersey, August 14, 2014.
AHM 2014: Integrated Data Management System for Critical Zone ObservatoriesEarthCube
Presentation by Anthony Aufdenkampe during the Addressing Data Heterogeneity, Semantic Building Bloack & CI Perspective Session on Day 2, June 25 at the EarthCube All-Hands Meeting
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
3. COOPEUS Goals
COOPEUS aims to catalyze international collaboration
between environmental research infrastructures by:
• Improving data accessibility through harmonization of
data policies
• Promoting interoperability of research infrastructures
by coordinating data and metadata
formats, measurement standards and accessibility
• By improving data and information quality by defining
basic requirements for QA/QC
5. COOPEUS accomplishments to date
•
Strong commitment to open data sharing across institutions and countries
• Established COOPEUS data sharing principles.
•
Gap analysis across RIs identified commonalities and differences in data policies;
metadata formats, accessibility; data standards, and archiving.
• High level of data and metadata standardization and accessibility among COOPEUS
RIs
• Primary weaknesses in standardized data portals/access points
•
Minimizing barriers to data sharing by identifying and removing obsolete policies.
•
Identifying and discussing ethical, cultural and institutional requirements for data
sharing.
•
Establishing a Roadmap and long-term plan for data interoperability
•
Engaging and building the community
• Workshops on Data Policy Harmonization, Persistent Identifiers, Carbon
Observation data usage and more to come
6. Current activities within COOPEUS?
Use case development
• Develop relationships to explore interdisciplinary
questions
• Identify strengths and weaknesses in cross-disciplinary
data use
Work Package topical workshops
Develop Roadmap for Interoperability across RIs
• Provide guidance to RIs in policies and practices
• Foster community building to encourage implementation
of COOPEUS recommendations across environmental RIs
7. COOPEUS and beyond….
What does the community need?
How do we improve the culture of open data?
How do we foster additional and stronger relationships?
• Create opportunities for broader participation
• Make room for institutional flexibility
How do we address challenges on:
• Maintaining data visibility
• Preserving data and accessibility in long-term
• Maintaining trust and integrity
• Maintain context and provenance
• Protecting privacy rights
The strength of COOPEUS is in building and fostering
communities concurrent with a framework around data
interoperability.
11. Rationale
• Some 30% of the world’s economy is tied to the environment
• Systematic understanding of the Earth system is fundamental for
well-informed and economically-efficient decision making
• Sustained Earth observations are critical in understanding the Earth
• Need for systems interoperability and open data access
A global approach to Earth observation is required!
13. GEO - The Group on Earth Observations
Created in 2005, to develop a coordinated and sustained
Global Earth Observation System of Systems (GEOSS)
to enhance decision making in nine Societal Benefit Areas.
GEO today:
• 90 Members
• 67 Participating
Organizations
14. GEO Vision
To realize a future wherein decisions and
actions, for the benefit of humankind, are
informed by coordinated, comprehensive and
sustained Earth observations and information.
15. GEO Objectives
• Improve and coordinate
observation systems
• Advance broad open
data policies/practices
• Foster increased use of
EO data and information
• Build capacity
16. GEOSS
• Global Earth Observation System of Systems
• Coordinated, comprehensive and sustained system
• A global distributed system, which includes:
– Satellite observation systems,
– Global in situ networks and systems, and
– Local and regional in situ networks.
– A discovery and access system for data and information
17. GEOSS Objectives
• Facilitate exchange of data and information
• Improve decision-makers’ abilities to address
pressing policy issues
• Enable solutions for the benefit
of the society
• Deliver the advantages of EO
to both data & information
providers and consumers
world wide
18. Targeted Issues
• Uncertainty over continuity of observations
• Large spatial and temporal gaps in specific data sets
• Limited access to data and associated benefits in
developing world
• Inadequate data integration and interoperability
• Lack of relevant processing systems to transform data
into useful information
• Inadequate user involvement
• Eroding or little technical infrastructure in many parts of
the world
20. GEOSS: for scientists
• GEO is a framework to promote international
cooperation.
Earth observing systems of the future: built by scientists,
informed by GEO.
bringing together data architecture experts, scientists,
users, and capacity-building specialists.
visibility as data/networks/systems contributed to GEOSS.
potential support for research leading to GEOSS
implementation.
27. Supporting Data Access and Use
GEOSS
Common
Infrastructure
(GCI)
GEOSS Portal
Discovery and Access Broker
Resource Registration
Earth observations data, information and services
28. GCI Capabilities
GCI is a specialized system supporting
Discovery, Evaluation and Access of Multidisciplinary
Earth observations
• Search
– Searches on content, location, and time in EO datasets
– Support Semantic Discovery across disciplinary vocabularies
– Paging and ranking of matching results
• Evaluation
– Preview
– Harmonization of metadata
• Access & Use
– Download distributed data
– Basic transformations to utilize accessed data
29. GCI Architecture
Discovery & Access
GEOSS User
GEO Web
Portal
GEOSS
Common
Infrastructure
GEOSS Registries:
•Standards &
Interoperability
•User Requirements
•Best Prac ces Wiki
Discovery and Access
Broker (DAB)
Service Monitoring
Integrated/Federated EO
Discovery/Access Systems
Clearinghouse (CH)
Register
Seman c Component*
Component & Service
Registry (CSR)
e.g. GENESI, CWIC, FedEO*
real- me
search
Resources
Providers
GEOSS
Resources
harvest
Services and SW Applica ons
* Prototype
capabili es
e.g. So ware, Data Access, Processing,
Community Portals, Documents
data
data
EO data Catalogues &
Repositories
e.g. IDN, INSPIRE, geo.data.gov
31. GEO Looking forward
• Facilitating international collaboration based on
international, national and local programs
• Encourage international sharing of data and
information for science, government, NGOs and
industry
36. ICSU, WDS and CODATA
„ICSU‟s long-term vision is of a
world where excellence in science is
effectively translated into policy
making and socio-economic
development. In such a
world, universal and equitable
access to scientific data and
information is a reality and all
countries have the scientific capacity
to use these and to contribute to
generating the new knowledge that
is necessary to establish their own
development pathways in a
sustainable manner.’
37. Foundation
ICSU 29th General Assembly in Maputo (2008)
decided:
• To confirm that ICSU will continue to assert
a strategic leadership role in relation to
scientific data and information;
• to establish a new ICSU-World Data System
as an Interdisciplinary Body
to replace the World Data
Centres and FAGS
39. WDS Scientific Committee
2012-2015
• Bernard Minster (Chair, USA)
• Michael Diepenbroek (Germany)
• Kim Finney (Australia)
• Françoise Genova (France)
• Wim Hugo (South Africa)
• Jane Hunter (Australia)
• Vasily Kopylov (Russian Fed.)
• Guoqing Li (China)
• Ruth Neilan (USA)
• Lesley Rickards (UK)
• Ryosuke Shibasaki (Japan)
• Ariel Troisi (Argentina)
Ex-Officio
• Howard Moore (ICSU)
• Yasuhiro Murayama (NICT)
40. WDS implementation
1. Constitution
2. Data policy
3. Certification criteria and Membership
Applications
4. International Programme Office
5. Working Groups
6. Strategic Plan
41. WDS - a "system of data
systems"
• ...of data archive centres, data analysis centres,
data producers, data developers, data observing
systems and networks, virtual observatories,
etc., both regional (including national) and global
• Tough concept to address until WDS is fully
developed...
ICSTI Workshop, Paris 2012
www.icsu-wds.org
42. One node? … Or many?
IGS Associate Members
External
Interfaces
Governing Board
Oversight
IAG/GGOS
IERS
BIPM
ICSU/WDS
UNOOSA/ICG
Product
Coordinators
Committees of the
GB
Executive Committee
Strategic Planning
Committee
Elections Committee
Infrastructure Committee
Analysis
Coordinator
Reference
Frame
Clock Products
Central Bureau
Executive Management
Network Coordination
Information Portal
Support
Organizations
IGS Institute
UNAVCO
Pilot Projects
and Working
Groups
Antenna WG
Bias & Calibration WG
Clock Product WG
Data Centers WG
GNSS WG
Ionosphere WG
LEO WG
Real-time WG
Reference Frame WG
Troposphere WG
Tide Gauge PP
ICSTI Workshop, Paris 2012
Analysis
Centers
Global Network ACs
Global Network AACs
Regional Network
AACs
Other AACs
(Ionosphere, Real-time)
Data
Centers
Global Data Centers
Regional Data Centers
Operational Data
Centers
Project Data Centers
IGS
Tracking
Stations
Reference Frame Stations
Multi GNSS Stations
Real-time Stations
Application Stations (e.g. Tide Gauge,
Timing)
International Association for Geodesy/Global Geodetic Observing System (IAG/GGOS)
International Earth Rotation and Reference Frame Service (IERS)
Bureau International des Poids et Mesures (BIPM)
International Council for Science/Word Data Systems (ICSU/WDS)
United Nations Office for Outer Space Affairs/International Committee on GNSS (UNOOSA/ICG)
Analysis Center (AC)
www.icsu-wds.org
Associate Analysis Center (AAC)
43. WDS implementation
Membership types
Regular
Data curation and data analysis services.
(Individual data centres, data services)
Network
Networks of regular members, umbrella
organizations (IODE, IVOA…)
Partner
Do not deal directly with data collection,
curation, and distribution, but contribute support
to WDS
Associate Organizations interested in the WDS endeavour
46. WDS implementation
Strategic Targets
Make trusted data services an integral part of international
collaborative scientific research
• Involve WDS Members more closely into international collaborative
scientific research
• Promote the use of best practices in international collaborative
research programmes
Nurture active disciplinary and multidisciplinary scientific data
services communities
• Support existing communities whose practices serve their members
well
• Support nascent communities by helping them to identify their
needs and to organize their activities
• Provide mechanisms that facilitate cross-disciplinary interactions
and activities
• Contribute towards scientific development by improving the
analytical environment
47. WDS implementation
Strategic Targets (ctd.)
Improve the funding environment
• Promote international, national and disciplinary policies that
lead to sustainable long-term funding
• Engage and work with research funders to increase
resources for data services
Improve the trust in and quality of open scientific data services
• Actively promote policies of full and open access to data at
national and international venues
• Foster interoperable practices to facilitate data sharing
• Facilitate access to, use, and reuse of datasets, in particular
for multidisciplinary research
Position WDS as the premium global multidisciplinary network
for quality assessed data
48. Structure and Architecture
Other Netw orks and
Systems
Metadata & Data
Services
Visualization &
Analysis
GEOSS, GMES,
WMO-IS, IOC, etc.
web portals, catalogue
computer systems, virtual labs,
GIS systems
Publishers
commercial, open access,
cross-referencing
Data Archiving &
Publication Facilities
Certified repositories
Data collection &
Processing Facilit ies
QA/QC, data products, data rescue
Libraries
DOI registry, interdisciplinary
catalogues
Education &
Outreach
Research Facilities
satellites, vessels, observatories,
alert systems, etc.
49. Next Steps
Other Netw orks and
Systems
Metadata & Data
Services
Visualization &
Analysis
GEOSS, GMES,
WMO-IS, IOC, etc.
web portals, catalogue
computer systems, virtual labs,
GIS systems
Publishers
commercial, open access,
cross-referencing
Data Archiving &
Publication Facilities
Certified repositories
Data collection &
Processing Facilit ies
QA/QC, data products, data rescue
Libraries
DOI registry, interdisciplinary
catalogues
Education &
Outreach
Research Facilities
satellites, vessels, observatories,
alert systems, etc.
50. WDS Working Groups
• Knowledge Network and Open Metadata Catalogue
Discovering and accessing WDS members’ and
networks’ data and services (metadata and
“enriched” additional information)
• Data Publication
Promote and establish data publication concept
among data centres, include science publishers and
bibliometric service holders, and as part of scholarly
publishing. Follow-up of CODATA Data Citation WG
and other initiatives.
66. SciDataCon 2014
Data Integration for Global Sustainability
2–5 November 2014, New Delhi, India
2nd ICSU-WDS Conference &
24th CODATA International Conference
eResearch Australasia 2013
73. The Information Age – extraordinary potential for
driving Science and bettering Society
More
Efficient
Physical
Infrastructure
Contribution to a
safer and more
secure world
Transformative
strategies for
disease
treatment and
well-being
Better goods and services
More Research Insights
73
74. Key Driver 1: Data Sharing Accelerating
Discovery and Innovation
74
75. Data Sharing is a
Global Issue
Science, Humanities, Arts
Communities
75
Libraries, Archives, Repositorie
s, Museums
Cyberinfrastructure
professionals, data analysts, data
center staff, …
Data
Scientists
76. Key Driver 2: Community effort accelerating
impact
76
“Just do it” -- Focused efforts help
communities drive tangible progress
Creation / adoption of data
sharing policies have
accelerated research
innovation
Development of public access shared
data collection enabling new results
for Alzheimer‟s
Practioners work together on
interoperability efforts across Earth and
environmental science allowing selfgoverned and directed groups to
emerge around common issues.
Now 25 years old, the Internet Engineering Task
Force‟s mission “to make the Internet work
better” has resulted in key specifications of
Internet common community standards that
support innovation
MPI Forum photo by Erez Heba,
PDB molecule of the month at
http://www.rcsb.org/pdb/home/home.do
77. The Research Data Alliance (RDA)
Global community-driven
organization launched in
March 2013 to accelerate
data-driven innovation
RDA focus is on building the social,
organizational and technical
infrastructure to
reduce barriers to data sharing and
exchange
accelerate the development of
coordinated global data infrastructure
Plenary 2, Fall 2013
National Academy of Science, DC
77
78. RDA Vision and Mission
Vision: Researchers and innovators openly share
data across technologies, disciplines, and countries
to address the grand challenges of society.
Mission:
RDA builds the social
and technical bridges
that enable data sharing.
78
79. The RDA Community today:
Over 1000 members from 55 countries
Asia
3%
Africa
2%
Asia-pacific
4%
South
America
1%
79
80. Goal of RDA Infrastructure: Support Data Sharing and
Interoperability Across Cultures, Scales, Technologies
Common metadata types
for data Interoperability
Persistent identifiers
Harmonized standards
Digital object identifiers
Data access and
preservation policy and
practice
Tools for data
discoverability, …
Harmonized standards
Policy and
Practice
80
81. CREATE ADOPT USE
RDA Members come together as
Working Groups – 12-18 month efforts to build, adopt, and use specific
pieces of infrastructure
Interest Groups – longer-lived discussion forums that spawn Working
Groups as specific pieces of needed infrastructure are identified.
Working Group efforts focus on the development and use of data
sharing infrastructure
Code, policy, infrastructure, standards, or best practices that are
adopted and used by communities to enable data sharing
“Harvestable” efforts for which 12-18 months of work can eliminate a
roadblock
Efforts that have substantive applicability to groups within the data
community, but may not apply to everyone
Efforts for which working scientists and researchers can start today
81
82. RDA Plenaries: Venue for community building and
WG / IG progress
Plenary 1
RDA Plenary 1 / Launch
March 2013 in
Gothenburg, Sweden
240 participants
3 WG, 9 IG
RDA Plenary 2
September 2013 in
Washington, DC
Plenary 2
380 participants
6 WG, 17 IG, 5 BOF
Data Citation Summit colocated in RDA “neutral
space”
First Organizational
Assembly meet-up
Beth Plale
8
822
83. RDA Plenaries Emerging as a Data
Community “Town Square”
Emerging Plenary Format:
All-hands sessions: Place for community
networking and exchange of information
(funding agencies, data organizations, key
stakeholders)
Working sessions: Face-to-face
opportunities for global Interest Groups,
Working Groups, and BOFs to meet and
advance their agendas
Neutral meeting place: Place for multiple
groups to meet and form a common agenda
and action plan (e.g. Plenary 2 Data
Citation Harmonization Summit)
83
84. Coming in 2014
84
RDA Plenary 3
March 26-28, 2014 in
Dublin, Ireland
Hosted by Australia and
Ireland
Theme: “The Data Sharing
community - Playing Your
Part”
RDA Plenary 4
September 2014 in The
Netherlands
Being planned now …
Plenary 3
Plenary 4
85. Community-Driven RDA Groups by Focus
Domain Science - focused
Toxicogenomics Interoperability
IG
Structural Biology IG
Biodiversity Data Integration IG
Agricultural Data Interoperability
IG
Digital History and Ethnography
IG
Defining Urban Data Exchange for
Science IG
Marine Data Harmonization IG
Materials Data Management IG
Reference and Sharing focused
Data Stewardship focused
Data Citation IG
Data Categories and Codes WG
Legal Interoperability IG
85
Community Needs focused
Community Capability Model
IG
Engagement IG
Clouds in Developing
Countries IG
Preservation e-infrastructure
Long-tail of Research Data IG
Research Data Provenance IG
Certification of Digital
Publishing Data IG
Repositories IG
Global Registry of Trusted Data
Repositories and Services IG
Base Infrastructure - focused
Metadata IG
Data Foundations and Terminology WG
Big Data Analytics IG
Metadata Standards WG
Data Brokering IG
Practical Policy WG
PID Information Types WG
Data Type Registries WG
Domain Repositories IG
86. RDA Community-Driven Groups
Repositories, Data
Descriptions Registry
Interoperability, DSA-WDS
Partnership Working Group
on Certification
Birds-of-a-Feather
(met at Plenary 2)
Linked Data
Chemical Safety Data
Education and Skills
Development in Data
Intensive Science
Libraries and Research Data
Cloud Computing and Data
Analysis Training for the
Developing World
Working Groups
Data Type Registries
Persistent Identifier Types
Data Foundations and
Terminology
Metadata Standards
Practical Policy
Data Categories and Codes
WG Case statements being
prepared: Citing Dynamic
Data, Publishing Data
Workflows, Publishing Data
Services, Data Bibliometrics,
Cost Recovery Models for
Interest Groups
Agricultural Data
Interoperability
Certification of Trusted
Repositories (joint with ICSUWDS)
Data Citation
Metadata
Marine Data Harmonization
Community Capability Model
Engagement
Preservation e-Infrastructure
Legal Interoperability (joint
with CODATA)
Defining Urban Data
Exchange for Science
Marine Data Harmonization
Structural Biology
Big Data Analytics
Data Brokering
Blue = new between Plenary 1
and Plenary 2
Green = new since Plenary 2
86
Publishing Data (joint with
WDS)
Toxicogenomics
Interoperability
Research Data Provenance
Materials Data Management
Global Registry of Trusted
Data Repositories and
Services
Digital Practices in History
and Ethnography
Biodiversity Data Integration
Long tail of Research Data
Development of cloud
computing capacity and
education in developing
world
Service Management IG
(pending)
Domain Repositories
Interest Group (pending)
Federated Identity
Management (pending)
Persistent Identifier Interest
Group – PID-IG (pending)
87. 87
RDA Organizational Structure
RDA Council
RDA Membership
Responsible for overarching mission, vision, impact of RDA
Secretary-General and
Secretariat
Technical Advisory
Board
Responsible for Technical
roadmap and interactions
Responsible for
administration and
operations
Organizational Advisory
Board and
Organizational
Assembly
Responsible for organizational
and strategic advice
Working Groups
Responsible for impactful, outcome-oriented efforts
Interest Groups
Responsible for defining and refining common issues
RDA Colloquium (Research Funders)
Operational and community sponsorship
88. RDA Organizational Partners
Member Applicants
• Institute for Quantitative Social Science at Harvard
• Barcelona Supercomputing Center
• Intersect Australia Limited
• European Data Infrastructure (EUDAT)
• Microsoft
• International Association of STM Publishers
• Oracle
• New Zealand eScience Infrastructure
• STFC - Science & Technology Facilities Council
• Washington University Libraries
• Corporation for National Research Initiatives (CNRI)
• Purdue University Libraries
• Terrestrial Ecosystems Research Network
• Research Data Canada
• University of Michigan Libraries
• eResearch Services and Scholarly Application
Development Division of Information Services
Interested Affiliates
• American University Library
• Committee on Data for Science and Technology
(CODATA)
Other interested Organizations
• Connecting Research and Researchers (ORCID)
• Australian Antarctic Data Centre
• DataCite
• Australian National Data Service
• International Oceanographic Data and Information
Exchange (IODE)
• CERN
• CJSD Consulting
• Columbia University Libraries/Information Services
• CSC - IT Center for Science Ltd.
• Digital Curation Centre
• IBM
• Scholarly Publishing and Academic Resources Coalition
(SPARC)
• World Data System (WDS)
88
Strengthening the cooperation between the US and the EU in the field of environmental research infrastructuresMost of you are building tools and infrastructure for data COOPEUS is building an international and interdisciplinary community based framework for data interoperability and accessDiversity of RI experience fostering mentoring and sharing internationallyBuilding a framework for cross-disciplinary engagement through data interoperability and interworkability – through use casesEngaging broad community beyond immediate CoopEUS partners
How:Bringing RIs together toward common goalsStandardizing data policies, protocols, metadata, access systemsUnderstanding where differences exist and whyThinking about the future of data requirements and accessibilityCreating a culture of open data
82% of COOPEUS RIs provide metadata and metadata catalogues for archived datasets and nearly all of these are available electronicallyThere is uniformity in data formats (ASCII and/or XML)
Sometimes, we have been asked or even claimed what is the difference between our GCI and Google.Currently, even in Earth observation community, you, even I, go to Google, and you may get easily what you want. In order to identify our role clearly, we need to recognize ourselves what are the differences.READ SLIDESIn the end, again, while Google services are for more general public in every contents on internet, GCI provides a specialized services for discovering and accessing of Earth observation data and information.
GEOSS has had about 11 million accesses (data granules) largely coming from 20-30 international repositories