Presentation given at Macquarie University in support of the ARDC 'institutional role in the data commons' project on "Implementing FAIR: Standards in Research Data Management" https://ardc.edu.au/news/data-and-services-discovery-activities-successful-applicants/
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
Change management success for data governanceReid Elliott
As a data management professional you know that improving data governance is a top priority for many organisations. We know that data governance frameworks, processes and tools only enable benefits to the extent that our stakeholders adopt and use them effectively.
As well as technical proficiency and good project management and delivery, data governance success also requires effective change management. Preparing for change, managing change, and sustaining change are critical steps on the journey to effective data governance. So how can data management professionals best use change management principles and techniques to contribute to the success of our data governance initiatives?
This presentation was prepared to accompany a Data Management Association Australia webinar on change management success for data governance initiatives.
Aims of the facilitated discussion in the webinar were to explore:
How change management can enable the success of your data governance, reporting and analytics initiatives.
Common people change related challenges that many data governance, reporting and analytics initiatives need to navigate.
Change management techniques you can use to drive successful project delivery, change adoption and sustainable use of data governance, and reporting and analytics solutions.
How to identify the top change management priority for your own current project, and the change management techniques that you can use to address it.
Presentation given at Macquarie University in support of the ARDC 'institutional role in the data commons' project on "Implementing FAIR: Standards in Research Data Management" https://ardc.edu.au/news/data-and-services-discovery-activities-successful-applicants/
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
Change management success for data governanceReid Elliott
As a data management professional you know that improving data governance is a top priority for many organisations. We know that data governance frameworks, processes and tools only enable benefits to the extent that our stakeholders adopt and use them effectively.
As well as technical proficiency and good project management and delivery, data governance success also requires effective change management. Preparing for change, managing change, and sustaining change are critical steps on the journey to effective data governance. So how can data management professionals best use change management principles and techniques to contribute to the success of our data governance initiatives?
This presentation was prepared to accompany a Data Management Association Australia webinar on change management success for data governance initiatives.
Aims of the facilitated discussion in the webinar were to explore:
How change management can enable the success of your data governance, reporting and analytics initiatives.
Common people change related challenges that many data governance, reporting and analytics initiatives need to navigate.
Change management techniques you can use to drive successful project delivery, change adoption and sustainable use of data governance, and reporting and analytics solutions.
How to identify the top change management priority for your own current project, and the change management techniques that you can use to address it.
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
Key Considerations While Rolling Out Denodo PlatformDenodo
Watch full webinar here: https://bit.ly/3zaPGLO
Our approach for data virtualization advisory takes the following 3 dimensions/areas into consideration:
- Technology / Architecture
- Business User Groups (your clients)
- IT Organization
To deliver quick results, Q-PERIOR uses a multitude of accelerators in predefined topics within these three dimensions. In our presentation we will elaborate on client examples why such an exercise makes sense before rolling out Denodo and what kind of risks you can avoid doing so.
FAIR Ddata in trustworthy repositories: the basicsOpenAIRE
This video illustrates how certified digital repositories contribute to making and keeping research data findable, accessible, interoperable and reusable (FAIR). Trustworthy repositories support Open Access to data, as well as Restricted Access when necessary, and they offer support for metadata, sustainable and interoperable file formats, and persistent identifiers for future citation. Presented by Marjan Grootveld (DANS, OpenAIRE).
Main references
• Core Trust Seal for trustworthy digital repositories: https://www.coretrustseal.org/
• EUDAT FAIR checklist: https://doi.org/10.5281/zenodo.1065991
• European Commission’s Guidelines on FAIR data management: http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
• FAIR data principles: www.force11.org/group/fairgroup/fairprinciples
• Overview of metadata standards and tools: https://rdamsc.dcc.ac.uk/
Most Common Data Governance Challenges in the Digital EconomyRobyn Bollhorst
Todays’ increasing emphasis on differentiation in the digital economy further complicates the data governance challenge. Learn about today’s common challenges and about the new adaptations that are required to support the digital era. Avoid the pitfalls and follow along on Johnson & Johnson’s journey to:
- Establish and scale a best in class enterprise data governance program
- Identify and focus on the most critical data and information to bolster incremental wins and garner executive support
- Ensure readiness for automation with SAP MDG on HANA
It’s been three years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. But what is the state of Data Governance today?
How has it evolved? What’s its role now? Building on prior research, erwin by Quest and ESG have partnered on a new study about what’s driving the practice of Data Governance, program maturity and current challenges. It also examines the connections to data operations and data protection, which is interesting given the fact that improving data security is now the No. 1 driver of Data Governance, according to this year’s survey respondents.
So please join us for this webinar to learn about the:
Other primary drivers for enterprise Data Governance programs
Most common bottlenecks to program maturity and sustainability
Advantages of aligning Data Governance with the other data disciplines
In a post-COVID world, data has the power to be even more transformative, and 84% of business and technology professionals say it represents the best opportunity to develop a competitive advantage during the next 12 to 24 months. Let’s make sure your organization has the intelligence it needs about both data and data systems to empower stakeholders in the front and back office to do what they need to do.
Contents
Step 1. Identify ESG Issues & Conduct Materiality Assessment
Identify the most relevant ESG issues dynamically considering double materiality
Step 2. As-Is Current State Assessment
Diagnosis of current management state and maturity regarding material ESG issues
Step 3. Set To-Be Goals & Develop As-Is to To-Be Roadmap
Establish clear objectives/goals & develop roadmap to achieve the goals
Step 4. Set ESG Strategic Framework & Action Plans
Set clear framework and actions for ESG program execution
Step 5. Execution
Implement management program and Monitor & Evaluate progress and performance
Step 6. Review & Improve Program
Evaluate outcomes and revise any needed part of program
This practical presentation will cover the most important and impactful artifacts and deliverables needed to implement and sustain governance. Rather than speak hypothetically about what output is needed from governance, it covers and reviews artifact templates to help you re-create them in your organization.
Topics covered:
- Which artifacts are most important to get started
- Important artifacts for more mature programs
- How to ensure the artifacts are used and implemented, not just written
- How to integrate governance artifacts into operational processes
- Who should be involved in creating the deliverables
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Formalize Data Governance with Policies and ProceduresDATAVERSITY
Policies and procedures lie at the heart of institutionalizing data governance. Data Governance is defined as the act of “executing and enforcing authority” to follow the procedures and enforce the policies. You can formalize Data Governance by clearly defining and following policies and procedures.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series where he will discuss how data governance can be formalized in parallel to the delivery of data policy and detailed procedures. Challenges associated with the changing the behavior of the data stewards will be identified, discussed and resolved during this session.
In this webinar Bob will discuss:
The relationship between Data Governance and Data Policy
Core guidelines to embrace through policy
DG Roles and their importance to following Policies and Procedures
Using RACIs and similar constructs to formalize Data Governance
Measuring the results of formalizing policies and procedures
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
Key Considerations While Rolling Out Denodo PlatformDenodo
Watch full webinar here: https://bit.ly/3zaPGLO
Our approach for data virtualization advisory takes the following 3 dimensions/areas into consideration:
- Technology / Architecture
- Business User Groups (your clients)
- IT Organization
To deliver quick results, Q-PERIOR uses a multitude of accelerators in predefined topics within these three dimensions. In our presentation we will elaborate on client examples why such an exercise makes sense before rolling out Denodo and what kind of risks you can avoid doing so.
FAIR Ddata in trustworthy repositories: the basicsOpenAIRE
This video illustrates how certified digital repositories contribute to making and keeping research data findable, accessible, interoperable and reusable (FAIR). Trustworthy repositories support Open Access to data, as well as Restricted Access when necessary, and they offer support for metadata, sustainable and interoperable file formats, and persistent identifiers for future citation. Presented by Marjan Grootveld (DANS, OpenAIRE).
Main references
• Core Trust Seal for trustworthy digital repositories: https://www.coretrustseal.org/
• EUDAT FAIR checklist: https://doi.org/10.5281/zenodo.1065991
• European Commission’s Guidelines on FAIR data management: http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
• FAIR data principles: www.force11.org/group/fairgroup/fairprinciples
• Overview of metadata standards and tools: https://rdamsc.dcc.ac.uk/
Most Common Data Governance Challenges in the Digital EconomyRobyn Bollhorst
Todays’ increasing emphasis on differentiation in the digital economy further complicates the data governance challenge. Learn about today’s common challenges and about the new adaptations that are required to support the digital era. Avoid the pitfalls and follow along on Johnson & Johnson’s journey to:
- Establish and scale a best in class enterprise data governance program
- Identify and focus on the most critical data and information to bolster incremental wins and garner executive support
- Ensure readiness for automation with SAP MDG on HANA
It’s been three years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. But what is the state of Data Governance today?
How has it evolved? What’s its role now? Building on prior research, erwin by Quest and ESG have partnered on a new study about what’s driving the practice of Data Governance, program maturity and current challenges. It also examines the connections to data operations and data protection, which is interesting given the fact that improving data security is now the No. 1 driver of Data Governance, according to this year’s survey respondents.
So please join us for this webinar to learn about the:
Other primary drivers for enterprise Data Governance programs
Most common bottlenecks to program maturity and sustainability
Advantages of aligning Data Governance with the other data disciplines
In a post-COVID world, data has the power to be even more transformative, and 84% of business and technology professionals say it represents the best opportunity to develop a competitive advantage during the next 12 to 24 months. Let’s make sure your organization has the intelligence it needs about both data and data systems to empower stakeholders in the front and back office to do what they need to do.
Contents
Step 1. Identify ESG Issues & Conduct Materiality Assessment
Identify the most relevant ESG issues dynamically considering double materiality
Step 2. As-Is Current State Assessment
Diagnosis of current management state and maturity regarding material ESG issues
Step 3. Set To-Be Goals & Develop As-Is to To-Be Roadmap
Establish clear objectives/goals & develop roadmap to achieve the goals
Step 4. Set ESG Strategic Framework & Action Plans
Set clear framework and actions for ESG program execution
Step 5. Execution
Implement management program and Monitor & Evaluate progress and performance
Step 6. Review & Improve Program
Evaluate outcomes and revise any needed part of program
This practical presentation will cover the most important and impactful artifacts and deliverables needed to implement and sustain governance. Rather than speak hypothetically about what output is needed from governance, it covers and reviews artifact templates to help you re-create them in your organization.
Topics covered:
- Which artifacts are most important to get started
- Important artifacts for more mature programs
- How to ensure the artifacts are used and implemented, not just written
- How to integrate governance artifacts into operational processes
- Who should be involved in creating the deliverables
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Formalize Data Governance with Policies and ProceduresDATAVERSITY
Policies and procedures lie at the heart of institutionalizing data governance. Data Governance is defined as the act of “executing and enforcing authority” to follow the procedures and enforce the policies. You can formalize Data Governance by clearly defining and following policies and procedures.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series where he will discuss how data governance can be formalized in parallel to the delivery of data policy and detailed procedures. Challenges associated with the changing the behavior of the data stewards will be identified, discussed and resolved during this session.
In this webinar Bob will discuss:
The relationship between Data Governance and Data Policy
Core guidelines to embrace through policy
DG Roles and their importance to following Policies and Procedures
Using RACIs and similar constructs to formalize Data Governance
Measuring the results of formalizing policies and procedures
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
Overview of metadata standards, and how FAIRsharing and the FAIR Cookbook help selecting and using them. Presentation to the What is metadata? Common standards and properties. EHP Workshop, November 9, 2022: https://ephconference.eu/pre-conference-programme-441
Overview of FAIR and the IMI FAIRplus project at the UK Conference of Bioinformatics and Computational Biology 2020: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop I, October 11, 2021.
PARTHENOS Common Policies and Implementation StrategiesParthenos
Presentation by Hella Hollander for the PARTHENOS workshop "Introducing PARTHENOS - Integrating the Digital Humanities" on 14 December 2016 in Prato, Italy.
FAIRsharing presentation at the Japan Science and Technology AgencyPeter McQuilton
A 30 minute seminar presented at the National Bioscience Database Center, part of the Japanese Science and Technology Agency, based in Tokyo, Japan. This presentation covers the FAIR Principles, the aims, methodology and use of FAIRsharing, related projects such as Bioschemas, and international initiatives such as ELIXIR and EOSC.
Breif overview of FAIR and FAIRsharing, with focus on publishers for the Euroscience Open Forum (ESOF) 2020 session on FAIR and Data Sharing:
https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-sharing-and-its-impact-on-scientific-careers-and-their-evaluation.html
This presentation introduced participants to the DC 101 course and was given at the Digital Curation and Preservation Outreach and Capacity Building Workshop in Belfast on September 14-15 2009.
http://www.dcc.ac.uk/events/workshops/digital-curation-and-preservation-outreach-and-capacity-building-workshop
A presentation on FAIR, FAIRsharing and the FAIR ecosystem for the ENVRI-FAIR community on the 13th December 2019. This presentation covers the basics of what FAIR is, how FAIRsharing can help 'FAIRify' standards, repositories, knowledgebases and data policies, and then the connections FAIRsharing has with other initiatives, such as the FAIR Evaluator, Data Stewardship Wizard, our RDA WG, GO-FAIR and EOSC-Life.
Brief summary for the INCF Neuroscience Assembly (https://neuroinformatics.incf.org/2021/program-week-2) of the two sessions run at the RDA Plenary 17th, which FAIRsharing WG has contributed t.
Turning FAIR into Reality - Role for Libraries dri_ireland
Presentation by Dr. Natalie Harrower, Director Digital Repository of Ireland and European Commission FAIR data expert group member, on what role librarians can play in the FAIR ecosystem. "Applying the FAIR data principles in day-to-day library practice" session by the Research Data Management Working Group, LIBER Steering Committee Research Infrastructures, LIBER2019, Dublin, 26 June 2019
FAIR, community standards and data FAIRification: components and recipesSusanna-Assunta Sansone
Overview of FAIR, FAIRsharing and the FAIR Cookbook at the ATI event on Knowledge Graphs: https://github.com/turing-knowledge-graphs/meet-ups/blob/main/symposium-2022.md
Presentation to the EOSC workshop on policies (https://www.google.com/url?q=https://eoscfuture.eu/eventsfuture/monitoring-eosc-readiness-fair-data-policies) on what FAIRsharing does for policies, including providing registration, discovery, flexible and clearer descriptions, relationships, machine readability and comparability.
The role of FAIRsharing in assessing FAIRness of digital objects: we assist, not assess. The workshop brought together a number of FAIR evaluation tools to discuss and design common FAIR tests to ensure tools deliver consistet results. Our presentation illustrates how FAIRsharing's content helps and how FAIRsharing's service contributes. The work will contribute to the work of the EOSC FAIR Metrics Task Force.
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop III, November 8, 2021.
The FAIR Cookbook poster, as presented at the ELIXIR-UK Node and the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
The FAIR Cookbook poster, as presented at the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Breif overview of the FAIR Cookbook for the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Brief introduction to FAIRsharing work with industry (publishers, pharmas) and the FAIR Cookbook (for the Life Science): https://www.opensciencefair.eu/2021/workshops/applying-fair-principles-to-open-science-and-industry-to-drive-innovation-challenges-and-opportunities
Overview of the role of FAIRsharing and a dedicated Collection of data resources (platforms and registries that collect, harmonize, and share participant-level clinical-epidemiological, OMICs, and/or imaging data) for the COVID-19 Clinical Research Coalition and The Tropical Disease Research initiatives: https://coronavirus.tghn.org/research-resources/data-sharing-covid-19
Presented at http://mcbios-maqc.org. The FAIR Principles have propelled the global debate in all disciplines about better RDM, transparent and reproducible data worldwide, and in all disciplines. FAIR has de facto become a global norm for good RDM, a prerequisite for data science, since their endorsement by global and intergovernmental leaders. Funding bodies are consolidating FAIR into their funding agreements; publishers have united behind FAIR as a way to remain at the forefront of open research; and in the private sector FAIR is adopted and enshrined in policy in major biopharmas, libraries, and unions. FAIR is changing the culture of data science, but work is needed to turn the principles into reality. I will use the work of the FAIRplus project as examplar to illustrate challenges and progresses.
Westminster Higher Education Forum policy conference Open research data in the UK: https://www.westminsterforumprojects.co.uk/conference/open-research-data-20
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
1. The FAIR Principles: from theory to practice
GSC 23rd meeting, Bangkok, Thailand, 7-11 August, 2023
slideshare.net/SusannaSansone
Academic Lead
for Research Practice
Professor of Data Readiness
Susanna-Assunta Sansone, PhD
Associate Director
0000-0001-5306-5690
@SusannaASansone
susanna-assunta.sansone@oerc.ox.ac.uk
datareadiness.eng.ox.ac.uk
2. This requires data that are:
• Cited and stored to be discoverable
• Retrievable and structured in standard format(s)
• Richly described to be understandable
Discovery are made using shared data
https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-ti
me-consuming-least-enjoyable-data-science-task-survey-says/#276a35e6f637
3. A set of principles to enhance the
value of all digital resources and its
reuse by humans and machines
Data that is discoverable and usable at scale
4. Globally unique and
persistent identifiers
Community defined
descriptive metadata
Community defined
terminologies
Detailed
provenance
Terms of access
Terms of
use
The FAIR Principles in a nutshell
6. ● Biopharma R&D productivity can be improved by
implementing the FAIR Principles
● FAIR enables powerful new AI analytics to access
data for machine learning and prediction
FAIR-driven digital transformation in pharmas
8. Turning FAIR into practice: what is the problem?
“These high-level FAIR Guiding Principles precede implementation choices, and do not suggest any specific technology, standard, or
implementation-solution; moreover, the Principles are not, themselves, a standard or a specification. They act as a guide to data
publishers and stewards to assist them in evaluating whether their particular implementation choices are rendering their digital research
artefacts Findable, Accessible, Interoperable, and Reusable.”
9. Turning FAIR into practice: what is the problem?
It is a set of guiding principles that provide for a continuum of
increasing reusability, via many different implementations
“These high-level FAIR Guiding Principles precede implementation choices, and do not suggest any specific technology, standard, or
implementation-solution; moreover, the Principles are not, themselves, a standard or a specification. They act as a guide to data
publishers and stewards to assist them in evaluating whether their particular implementation choices are rendering their digital research
artefacts Findable, Accessible, Interoperable, and Reusable.”
11. Authored by almost 100 data
professionals from industry and
academia, led by ELIXIR Nodes,
with participation of USA NIH
An open, live resource for the life science with recipes that cover the operation steps of
FAIR data management
Adopted internationally!
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools
Recommend in policies,
use in educational
material
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools
12. Goal: improving visibility of content, e.g.:
Goal: semantic integration of datasets from multiple sources, e.g.:
Goal: security compliance and with regulators, e.g.:
https://w3id.org/faircookbook/FCB010
https://w3id.org/faircookbook/FCB007
https://w3id.org/faircookbook/FCB006
https://w3id.org/faircookbook/FCB020 https://w3id.org/faircookbook/FCB004
https://w3id.org/faircookbook/FCB014 https://w3id.org/faircookbook/FCB035
Hands-on recipes, focused on addressing needs
14. ● As educational material on FAIR in a training context
● As a practical guidance to improve day-to-day tasks for FAIRer data
● As contributor towards changing the culture and to identify investment areas in
research data management
Utility and value: academics and pharma context
https://doi.org/10.1038/s41597-023-02166-3
15. https://w3id.org/faircookbook/FCB079
FAIRification paths: one size does not fit all
Molecular
data
Clinical
(observation based) data
Clinical trial
(event based) data
Different contexts mandate different
metadata strategies and standards
https://doi.org/10.1038/s41597-023-02167-2
16. A curated, informative and educational resource on data and metadata standards, inter-related to
databases and data policies
Adopted
internationally!
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools
1. Guides consumers to discover, select
and use these resources with confidence
2. Helps producers to make their
resources more visible, more widely
adopted and cited
3. Powers third party tools by providing
trustworthy content to promote standards
and databases
Promote the
value and use
of these
resources
across all
disciplines
Adopted
internationally!
17. Over 2885 standards & databases in the Life Science
Identifiers
Terminologies Guidelines
Formats
18. GSC collection of standards interlinked
to databases and policies
fairsharing.org/GSC
19. GSC collection of standards interlinked
to databases and policies
fairsharing.org/GSC
20. Educational material on standards and databases
for all stakeholders
fairsharing.org/educational
21. European Research Landscape Study 2022
Publications Office of the European Union, 2022, https://data.europa.eu/doi/10.2777/3648; Also https://indico.lip.pt/event/1249/contributions/4555/
Objectives:
• To collect data on the level of maturity with
respect to FAIR data implementation
• To assess responsiveness and readiness of
research data repositories in terms of
implementation of FAIR principles
Scope:
• All fields of science
• Survey of researchers: 15066 responses
• Desk research; case studies; FAIRness
assessment
22. And not everything that can be measured matters!
Strive for the FAIR enough!
Follow your data journey
and your needs!
More importantly in the current tools the tests
used and the result given, are not comparable!!
The “cottage industry” of FAIR evaluation
fairassist.org
As of July 2023, there
are 25 independent
evaluation tools!
23. Turning FAIR into reality requires we:
• deliver a number of research infrastructures and tools
• implement standards for data and metadata
• address policies, education and training
• overcome technical, social and cultural challenges
• identify motivators, credit and rewards mechanisms
The road to FAIR data
24. Let's keep building and sharing
good research data management practices!
Researchers Developers and curators Journal publishers
Societies and Alliances
Librarians and Trainers Funders
dataset
software
models
workflows
code