The document provides information on creating a data management plan (DMP) for grant applications. It discusses what a DMP is, why they are important, and what funders require in a DMP. A DMP outlines how research data will be collected, documented, stored, shared, and preserved. The document recommends addressing six key themes in a DMP: data types and standards; ethics and intellectual property; data access, sharing and reuse; short-term storage and management; long-term preservation; and resourcing. Developing a strong DMP helps researchers manage data effectively and makes data available and reusable by others.
Analyze This! Best Practices For Big And Fast DataEMC
During this recorded webcast, you will hear from Judith Hurwitz, noted analyst and author of Hybrid Cloud for Dummies and Bill Schmarzo, EMC Consulting’s CTO for EIMA. You will learn What is big fast data and how your organization will benefit from this transformation in data management.
Data Governance and Metadata ManagementDATAVERSITY
Metadata is a tool that improves data understanding, builds end-user confidence, and improves the return on investment in every asset associated with becoming a data-centric organization. Metadata’s use has expanded beyond “data about data” to cover every phase of data analytics, protection, and quality improvement. Data Governance and metadata are connected at the hip in every way possible. As the song goes, “You can’t have one without the other.”
In this RWDG webinar, Bob Seiner will provide a way to renew your energy by focusing on the valuable asset that can make or break your Data Governance program’s success. The truth is metadata is already inherent in your data environment, and it can be leveraged by making it available to all levels of the organization. At issue is finding the most appropriate ways to leverage and share metadata to improve data value and protection.
Throughout this webinar, Bob will share information about:
- Delivering an improved definition of metadata
- Communicating the relationship between successful governance and metadata
- Getting your business community to embrace the need for metadata
- Determining the metadata that will provide the most bang for your bucks
- The importance of Metadata Management to becoming data-centric
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
With technology changing at an ever more rapid pace and business requirements ever-evolving to meet the needs of the market, building a future-state Data Architecture plan can be a challenge. Join this webinar to learn practical ways to balance technology and business needs as you develop your future-state architecture for the coming years.
Metadata turns data into information by providing context. Metadata is a determining factor of a successful Data Governance initiative and becomes an important asset that needs to be managed. The metadata will not govern itself.
Join Bob Seiner for a webinar that focuses on the governance of metadata following the non-invasive approach. In this session, Bob will share tips and techniques for assuring that the appropriate metadata is being collected and utilized to support your Data Governance program.
In this webinar, Bob will discuss:
Concepts of Non-Invasive Metadata Governance
Metadata as a valuable data resource
Aligning Data Governance with Metadata Governance
Implementing effective Metadata Governance tools
Maximizing metadata resources with accountability
Everybody is a Data Steward – Get Over It!DATAVERSITY
When Data Stewardship is based on people’s relationships to data, the program is assured to cover the entire organization. People that define, produce, and use data must be held formally accountable for their actions. That may include every person in your organization. Is this a good thing? Of course, it is.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series, where he will share how formalizing accountability, based on the actions people take with data, requires heightened awareness and enforcement of data rules. These rules focus on improving Data Quality, protecting sensitive data, and increasing people’s knowledge of the data that adds value for their business.
In this webinar, Bob will discuss:
Why the “Everybody is a Data Steward” approach is different (and better)
How to recognize the Data Stewards
Formalizing accountability based on data relationships
Coverage of the entire organization
Leveraging the technique to sell stewardship
If you define, produce, or use data as part of your job and you are held formally accountable for how you define, produce, and use the data, then you are a data steward. If that statement is true, then everybody is a data steward. Does this make your Data Governance program more complex?
Join Bob Seiner for this thought-provoking webinar that asks and answers the question, how can everybody be a data steward? His approach to Data Stewardship will at the same time make your program less invasive to deliver and add a touch of complexity when it is recognized that the governance of data involves everybody in the organization.
In this webinar, Bob will talk about:
- Defining the levels and roles of data stewards
- What the term “formalized accountability” means
- How to handle the complexity of everybody being a data steward
- The complete coverage that is deployed by this approach
- How to “get over” everybody being a data steward
Analyze This! Best Practices For Big And Fast DataEMC
During this recorded webcast, you will hear from Judith Hurwitz, noted analyst and author of Hybrid Cloud for Dummies and Bill Schmarzo, EMC Consulting’s CTO for EIMA. You will learn What is big fast data and how your organization will benefit from this transformation in data management.
Data Governance and Metadata ManagementDATAVERSITY
Metadata is a tool that improves data understanding, builds end-user confidence, and improves the return on investment in every asset associated with becoming a data-centric organization. Metadata’s use has expanded beyond “data about data” to cover every phase of data analytics, protection, and quality improvement. Data Governance and metadata are connected at the hip in every way possible. As the song goes, “You can’t have one without the other.”
In this RWDG webinar, Bob Seiner will provide a way to renew your energy by focusing on the valuable asset that can make or break your Data Governance program’s success. The truth is metadata is already inherent in your data environment, and it can be leveraged by making it available to all levels of the organization. At issue is finding the most appropriate ways to leverage and share metadata to improve data value and protection.
Throughout this webinar, Bob will share information about:
- Delivering an improved definition of metadata
- Communicating the relationship between successful governance and metadata
- Getting your business community to embrace the need for metadata
- Determining the metadata that will provide the most bang for your bucks
- The importance of Metadata Management to becoming data-centric
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
With technology changing at an ever more rapid pace and business requirements ever-evolving to meet the needs of the market, building a future-state Data Architecture plan can be a challenge. Join this webinar to learn practical ways to balance technology and business needs as you develop your future-state architecture for the coming years.
Metadata turns data into information by providing context. Metadata is a determining factor of a successful Data Governance initiative and becomes an important asset that needs to be managed. The metadata will not govern itself.
Join Bob Seiner for a webinar that focuses on the governance of metadata following the non-invasive approach. In this session, Bob will share tips and techniques for assuring that the appropriate metadata is being collected and utilized to support your Data Governance program.
In this webinar, Bob will discuss:
Concepts of Non-Invasive Metadata Governance
Metadata as a valuable data resource
Aligning Data Governance with Metadata Governance
Implementing effective Metadata Governance tools
Maximizing metadata resources with accountability
Everybody is a Data Steward – Get Over It!DATAVERSITY
When Data Stewardship is based on people’s relationships to data, the program is assured to cover the entire organization. People that define, produce, and use data must be held formally accountable for their actions. That may include every person in your organization. Is this a good thing? Of course, it is.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series, where he will share how formalizing accountability, based on the actions people take with data, requires heightened awareness and enforcement of data rules. These rules focus on improving Data Quality, protecting sensitive data, and increasing people’s knowledge of the data that adds value for their business.
In this webinar, Bob will discuss:
Why the “Everybody is a Data Steward” approach is different (and better)
How to recognize the Data Stewards
Formalizing accountability based on data relationships
Coverage of the entire organization
Leveraging the technique to sell stewardship
If you define, produce, or use data as part of your job and you are held formally accountable for how you define, produce, and use the data, then you are a data steward. If that statement is true, then everybody is a data steward. Does this make your Data Governance program more complex?
Join Bob Seiner for this thought-provoking webinar that asks and answers the question, how can everybody be a data steward? His approach to Data Stewardship will at the same time make your program less invasive to deliver and add a touch of complexity when it is recognized that the governance of data involves everybody in the organization.
In this webinar, Bob will talk about:
- Defining the levels and roles of data stewards
- What the term “formalized accountability” means
- How to handle the complexity of everybody being a data steward
- The complete coverage that is deployed by this approach
- How to “get over” everybody being a data steward
RWDG Slides: Data Architecture Is Data GovernanceDATAVERSITY
Data Architecture and Data Governance are the same thing! Aren’t they?
Most people would say that this line of thinking is absurd — or even worse. There is NO WAY that they are the same thing. Or are they?
This RWDG webinar with Bob Seiner and his special guest Anthony Algmin looks at the disciplines of Data Governance and Data Architecture and explores how much they are the same … and how they are different. The speakers will let you draw your own conclusion, but they will get you thinking about whether Data Architecture and Data Governance are two sides of the same coin.
In this webinar, Bob and Anthony will discuss:
• What is meant by the saying two sides of the same coin … and how it relates
• The similarities between Data Architecture and Data Governance
• The differences between the two
• How to use Data Architecture to sell Data Governance … and the other way around
• Deciding if the two disciplines are the same … or different
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
RWDG Webinar: Build Your Own Data Governance ToolsDATAVERSITY
<!-- wp:paragraph -->
<p>Data Governance tools can be enablers of program success…or the reason why Data Governance fails to meet people’s expectations. Software tools can be leveraged or acquired from reliable vendors or developed internally to attempt to address your organization’s needs. Sometimes the best environment is made up of a combination of internal and external tools. What is a practitioner to do?</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join Bob Seiner for this month’s RWDG webinar where he will share tools that you can build yourself and talk about how the tools can be used to determine requirements to acquire outside tools. Tools developed internally at little or no cost have helped to solve many Data Governance problems. Several of these problems and their solutions will be described in detail during this webinar.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>In this webinar, Bob will discuss:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Several easy to build Data Governance tools</li><li>Customizing these tools to address specific issues</li><li>How internally developed tools can lead to tool acquisition</li><li>Knowing when it is time to acquire tools</li><li>Integrating DIY tools with acquired tools</li></ul>
<!-- /wp:list -->
The first step towards understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many data management disciplines inherent in good systems development, and is perhaps the most mislabeled and misunderstood out of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight, the efficiency of organizational practices, and can also enable you to combine more sophisticated data management techniques in support of larger and more complex business initiatives.
In this webinar, we will:
Illustrate how to leverage metadata in support of your business strategy
Discuss foundational metadata concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK)
Enumerate guiding principles for and lessons previously learned from metadata and its practical uses
Slides: Powering a Sustainable Data Governance Program – Learnings & Best Pra...DATAVERSITY
This webinar will take you on the digital transformation journey of a traditional energy company that reinvented how it conducts business – from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business. In an interactive format, you’ll hear how E.ON launched data governance as a service from the inside out, including:
• Building a business case
• Evaluating supporting technology
• Developing policies and processes
• Involving and educating employees
• Ongoing evaluation and improvements
• Future implications
Don’t miss this opportunity to learn from a real-world data governance success. We promise it will recharge how you approach the practice and the role of data. It really does have the power to change things.
Slides: The Three Pillars for Effective Business Intelligence GovernanceDATAVERSITY
Business intelligence (BI) governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of a heterogeneous environment is a daunting task. However, governance is critical, and the lack of proper governance leads to poor user engagement and low ROI from BI investments.
Metric Insights’ Business Intelligence Portal helps you:
• Manage information access and discoverability
• Optimize BI content, license utilization, and staff resources
• Create trust with your BI team and the content they produce
RWDG Slides: Data and Metadata Will Not Govern ThemselvesDATAVERSITY
There is a direct relationship between the value your organization gets from its data, the trust your organization has in its data, and how formally that data is being governed. This is not new news. In fact, this has always been the case.
Join Bob Seiner for the RWDG webinar to kick off the year, where he will discuss how data does not naturally or automatically increase in value or become more trusted without a resolute effort. That effort focuses on governance. The webinar will focus on the effort that must be orchestrated at the strategic, tactical, and operational levels of the organization to demonstrate value and gain the trust of the people at all levels.
In this webinar, Bob will share:
• How governance applies equally to data and metadata
• The meaning of a “resolute effort” to govern important assets
• How the governance of data and metadata increases their value
• The people who must be held formally accountable for data and metadata
• Communicating the webinar’s title with people who can make a difference
Real-World Data Governance Webinar: Big Data Governance - What Is It and Why ...DATAVERSITY
Big Data is all the rage. Everybody is asking about Big Data, researching Big Data, considering Big Data, some are even doing Big Data. Certainly many people are asking questions about Big Data Governance. We have some answers for them.
This Real-World Data Governance webinar with Bob Seiner will focus on the strength of Big Data Governance as a concept and a practice and will highlight how the concepts of each, Big Data and Data Governance, both benefit and hurt each other.
This session will include:
Defining Big Data Governance
Ways to Govern Big Data
Making the Connection for IT and Business People
Determining the Vitality of Big Data Governance
Considerations for Big Data Governance
Data-Ed Webinar: Design & Manage Data Structures DATAVERSITY
Data structures enable you to store and organize data so that it can be used efficiently. But how do you know to apply the correct one? There is a difference between structuring master data, reference data and analytics data. This webinar will discuss the various data structures available and when to use each one. We will show how data structures should support your organizational data strategy and how each method can contribute to business value.
Takeaways:
Application of correct data structures to fit business needs
How different structures create different business value
RWDG Slides: Activate Your Data Governance PolicyDATAVERSITY
What does it mean to activate a Data Governance policy? Can an inactive policy be effective? Data Governance policies can address different things depending on the organization. Some policies are very general and introduce the awareness of formal Data Governance to the organization. Other policies address specific needs like Data Quality, data documentation, and data protection.
Join Bob Seiner and a special guest for this RWDG webinar where they will tackle of the subject of how to develop and deploy an active Data Governance policy. Bob and his guest will provide specific examples of policy components and examples of how organizations use policies to govern their data.
In this webinar, Bob and his guest will discuss:
- When a Data Governance policy is necessary (and when it isn’t)
- The difference between an active and inactive policy
- Tips for activating a Data Governance policy
- Using the policy to drive Data Governance
- Getting people to follow a Data Governance policy
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...DATAVERSITY
Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering core metadata is an issue organizations have been struggling with for years. The Operational Metadata Store or OMS may be the answer.
The traditional Operational Data Store or ODS is a database designed to integrate data from numerous sources that supports business operations and then feeds that data back into the operational systems. This Real-World Data Governance webinar with Bob Seiner and a panel of industry pundits will hold a lively discussion on the practicality of creating the ODS using metadata as the data, utilizing the metadata from a variety of existing sources to operationalize your data stewards.
The session will focus on:
Identifying the most significant metadata for your organization
Identifying existing sources of metadata – known and hidden
Identifying when that metadata will be most useful to your data stewards
Defining a lifecycle that encourages data steward participation
Delivering a model that incorporates all of the above
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of a high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality Management effectively in support of business strategy, which in turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
RWDG Slides: Master Data Governance in ActionDATAVERSITY
Master data is data essential to operations in a specific subject area. Information treated as master data varies from one subject to another and even from one company to another. However defined, one thing for certain is that it does not become master data unless it is governed.
Join Bob Seiner for this RWDG webinar where he outlines a repeatable way to activate your Data Governance program by focusing on your master data initiatives. Get people to trust your data as the “master” by implementing a formal certification process.
In this webinar, Bob will discuss:
• What makes it Master Data Governance
• Aligning roles and responsibilities with Master Data Management (MDM)
• Qualities of “governed data”
• Governing to a “master” version of the truth
• Implementing Data Governance domain by domain
Metadata Governance for Vocabularies, Dictionaries, and DataDATAVERSITY
Business vocabularies, glossaries and dictionaries are an imperative part of improving organizational understanding of their most important data. The metadata in these resources must meet stakeholder’s requirements from a content and quality perspective. The metadata must be governed.
This Real-World Data Governance webinar, with Bob Seiner and a special guest, will cover several components of implementing Metadata Governance specifically focused on business vocabulary, glossaries, data dictionaries and data catalogs. Bob will share his experience as a repository administrator and provide detailed requirements for tools that will help you govern the metadata and data.
In this webinar Bob and his guest will discuss:
Value add from vocabulary, glossaries and dictionaries
Metadata that populates each of these data stores
Responsibilities for governing metadata
Applying governance to metadata processes
Requirements for tools associated with governing metadata
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
Project Management Professional (PMP)
Client Management
Project and people management
Agile Methodology
Architectural design
Data Analytics
Incident, Problem and Change Management
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
RWDG Slides: Data Architecture Is Data GovernanceDATAVERSITY
Data Architecture and Data Governance are the same thing! Aren’t they?
Most people would say that this line of thinking is absurd — or even worse. There is NO WAY that they are the same thing. Or are they?
This RWDG webinar with Bob Seiner and his special guest Anthony Algmin looks at the disciplines of Data Governance and Data Architecture and explores how much they are the same … and how they are different. The speakers will let you draw your own conclusion, but they will get you thinking about whether Data Architecture and Data Governance are two sides of the same coin.
In this webinar, Bob and Anthony will discuss:
• What is meant by the saying two sides of the same coin … and how it relates
• The similarities between Data Architecture and Data Governance
• The differences between the two
• How to use Data Architecture to sell Data Governance … and the other way around
• Deciding if the two disciplines are the same … or different
It’s been almost two years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. This complex but critical practice still has most enterprises grappling to master it for a myriad of reasons.
In this webinar, we’ll examine how Data Governance attitudes and practices continue to evolve and discuss what new research reveals as the most predominant challenges. We’ll delve into technology trends, including how adding certain capabilities will benefit your organization in terms of data asset availability, quality, and usability, including data consumer literacy and confidence.
When you attend this webinar, you will learn about:
• The requirements for a successful and sustainable Data Governance program
• Increasing confidence in data analytics for faster speed to insights
• How to automate data preparation and intelligence and where to start
RWDG Webinar: Build Your Own Data Governance ToolsDATAVERSITY
<!-- wp:paragraph -->
<p>Data Governance tools can be enablers of program success…or the reason why Data Governance fails to meet people’s expectations. Software tools can be leveraged or acquired from reliable vendors or developed internally to attempt to address your organization’s needs. Sometimes the best environment is made up of a combination of internal and external tools. What is a practitioner to do?</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join Bob Seiner for this month’s RWDG webinar where he will share tools that you can build yourself and talk about how the tools can be used to determine requirements to acquire outside tools. Tools developed internally at little or no cost have helped to solve many Data Governance problems. Several of these problems and their solutions will be described in detail during this webinar.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>In this webinar, Bob will discuss:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Several easy to build Data Governance tools</li><li>Customizing these tools to address specific issues</li><li>How internally developed tools can lead to tool acquisition</li><li>Knowing when it is time to acquire tools</li><li>Integrating DIY tools with acquired tools</li></ul>
<!-- /wp:list -->
The first step towards understanding what data assets mean for your organization is understanding what those assets mean for each other. Metadata—literally, data about data—is one of many data management disciplines inherent in good systems development, and is perhaps the most mislabeled and misunderstood out of the lot. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight, the efficiency of organizational practices, and can also enable you to combine more sophisticated data management techniques in support of larger and more complex business initiatives.
In this webinar, we will:
Illustrate how to leverage metadata in support of your business strategy
Discuss foundational metadata concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK)
Enumerate guiding principles for and lessons previously learned from metadata and its practical uses
Slides: Powering a Sustainable Data Governance Program – Learnings & Best Pra...DATAVERSITY
This webinar will take you on the digital transformation journey of a traditional energy company that reinvented how it conducts business – from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business. In an interactive format, you’ll hear how E.ON launched data governance as a service from the inside out, including:
• Building a business case
• Evaluating supporting technology
• Developing policies and processes
• Involving and educating employees
• Ongoing evaluation and improvements
• Future implications
Don’t miss this opportunity to learn from a real-world data governance success. We promise it will recharge how you approach the practice and the role of data. It really does have the power to change things.
Slides: The Three Pillars for Effective Business Intelligence GovernanceDATAVERSITY
Business intelligence (BI) governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of a heterogeneous environment is a daunting task. However, governance is critical, and the lack of proper governance leads to poor user engagement and low ROI from BI investments.
Metric Insights’ Business Intelligence Portal helps you:
• Manage information access and discoverability
• Optimize BI content, license utilization, and staff resources
• Create trust with your BI team and the content they produce
RWDG Slides: Data and Metadata Will Not Govern ThemselvesDATAVERSITY
There is a direct relationship between the value your organization gets from its data, the trust your organization has in its data, and how formally that data is being governed. This is not new news. In fact, this has always been the case.
Join Bob Seiner for the RWDG webinar to kick off the year, where he will discuss how data does not naturally or automatically increase in value or become more trusted without a resolute effort. That effort focuses on governance. The webinar will focus on the effort that must be orchestrated at the strategic, tactical, and operational levels of the organization to demonstrate value and gain the trust of the people at all levels.
In this webinar, Bob will share:
• How governance applies equally to data and metadata
• The meaning of a “resolute effort” to govern important assets
• How the governance of data and metadata increases their value
• The people who must be held formally accountable for data and metadata
• Communicating the webinar’s title with people who can make a difference
Real-World Data Governance Webinar: Big Data Governance - What Is It and Why ...DATAVERSITY
Big Data is all the rage. Everybody is asking about Big Data, researching Big Data, considering Big Data, some are even doing Big Data. Certainly many people are asking questions about Big Data Governance. We have some answers for them.
This Real-World Data Governance webinar with Bob Seiner will focus on the strength of Big Data Governance as a concept and a practice and will highlight how the concepts of each, Big Data and Data Governance, both benefit and hurt each other.
This session will include:
Defining Big Data Governance
Ways to Govern Big Data
Making the Connection for IT and Business People
Determining the Vitality of Big Data Governance
Considerations for Big Data Governance
Data-Ed Webinar: Design & Manage Data Structures DATAVERSITY
Data structures enable you to store and organize data so that it can be used efficiently. But how do you know to apply the correct one? There is a difference between structuring master data, reference data and analytics data. This webinar will discuss the various data structures available and when to use each one. We will show how data structures should support your organizational data strategy and how each method can contribute to business value.
Takeaways:
Application of correct data structures to fit business needs
How different structures create different business value
RWDG Slides: Activate Your Data Governance PolicyDATAVERSITY
What does it mean to activate a Data Governance policy? Can an inactive policy be effective? Data Governance policies can address different things depending on the organization. Some policies are very general and introduce the awareness of formal Data Governance to the organization. Other policies address specific needs like Data Quality, data documentation, and data protection.
Join Bob Seiner and a special guest for this RWDG webinar where they will tackle of the subject of how to develop and deploy an active Data Governance policy. Bob and his guest will provide specific examples of policy components and examples of how organizations use policies to govern their data.
In this webinar, Bob and his guest will discuss:
- When a Data Governance policy is necessary (and when it isn’t)
- The difference between an active and inactive policy
- Tips for activating a Data Governance policy
- Using the policy to drive Data Governance
- Getting people to follow a Data Governance policy
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...DATAVERSITY
Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering core metadata is an issue organizations have been struggling with for years. The Operational Metadata Store or OMS may be the answer.
The traditional Operational Data Store or ODS is a database designed to integrate data from numerous sources that supports business operations and then feeds that data back into the operational systems. This Real-World Data Governance webinar with Bob Seiner and a panel of industry pundits will hold a lively discussion on the practicality of creating the ODS using metadata as the data, utilizing the metadata from a variety of existing sources to operationalize your data stewards.
The session will focus on:
Identifying the most significant metadata for your organization
Identifying existing sources of metadata – known and hidden
Identifying when that metadata will be most useful to your data stewards
Defining a lifecycle that encourages data steward participation
Delivering a model that incorporates all of the above
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of a high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality Management effectively in support of business strategy, which in turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
RWDG Slides: Master Data Governance in ActionDATAVERSITY
Master data is data essential to operations in a specific subject area. Information treated as master data varies from one subject to another and even from one company to another. However defined, one thing for certain is that it does not become master data unless it is governed.
Join Bob Seiner for this RWDG webinar where he outlines a repeatable way to activate your Data Governance program by focusing on your master data initiatives. Get people to trust your data as the “master” by implementing a formal certification process.
In this webinar, Bob will discuss:
• What makes it Master Data Governance
• Aligning roles and responsibilities with Master Data Management (MDM)
• Qualities of “governed data”
• Governing to a “master” version of the truth
• Implementing Data Governance domain by domain
Metadata Governance for Vocabularies, Dictionaries, and DataDATAVERSITY
Business vocabularies, glossaries and dictionaries are an imperative part of improving organizational understanding of their most important data. The metadata in these resources must meet stakeholder’s requirements from a content and quality perspective. The metadata must be governed.
This Real-World Data Governance webinar, with Bob Seiner and a special guest, will cover several components of implementing Metadata Governance specifically focused on business vocabulary, glossaries, data dictionaries and data catalogs. Bob will share his experience as a repository administrator and provide detailed requirements for tools that will help you govern the metadata and data.
In this webinar Bob and his guest will discuss:
Value add from vocabulary, glossaries and dictionaries
Metadata that populates each of these data stores
Responsibilities for governing metadata
Applying governance to metadata processes
Requirements for tools associated with governing metadata
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
Project Management Professional (PMP)
Client Management
Project and people management
Agile Methodology
Architectural design
Data Analytics
Incident, Problem and Change Management
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Presentation given by Sarah Jones at a seminar run by LSHTM on 6th November 2012. http://www.lshtm.ac.uk/newsevents/events/2012/11/developing-data-management-expertise-in-research---half-day-event
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATOpenAIRE
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Presentation given by Sarah Jones and Joy Davidson to a group of South African librarians at a webinar organised by LIASA HELIG. http://www.liasa.org.za/node/977
An overview of the LSHTM Research Data Management Policy, outlining the motivations for its introduction, obligations that need to be met and the support available
Overview of the UKRDDS pilot project at Univwersity of Edinburgh employing PhD interns to validate metadata about research data created by University of Edinburgh researchers and held in local RDM services solutions. This was presented at IASSIST in June 2016, Bergen, Norway.
Presentation made at the 'Towards linked science - Open Data and DataCite Esrtonia seminar as part of the Estonian Open Access Week at University of Tartu
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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
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The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
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Creating a Data Management Plan for your Grant Application
1. Creating a Data Management Plan for
your Grant Application
Stuart Macdonald
RDM Services Coordinator / Associate Data Librarian
University of Edinburgh
stuart.macdonald@ed.ac.uk
EAHIL + ICAHIS + ICLC, Edinburgh, 11 June 2015
2. Course content
• Background
• What is Research Data and RDM?
• What is a Data Management Plan?
• Benefits and drivers
• What do Funders want?
• Six themes for a DMP
• Exercise: What makes a good DMP?
• Support for DMP
3. Background
• EDINA and University Data Library (EDL) together are a division
within Information Services (IS) of the University of Edinburgh.
• EDINA is a Jisc-designated centre for digital expertise & online
service delivery
• - http://edina.ac.uk/
• The Data Library assists Edinburgh University users in the
discovery, access, use and management of research datasets -
http://www.ed.ac.uk/is/data-library
• Research & Learning Services – focus on developing and
delivering digital library technologies (RDM Programme, OA
Scholarly Communications, open scholarship, bibliometrics,
resource discovery, LMS)
4. What is Research data?
“Recorded, factual material commonly retained by and accepted
in the [research] community as necessary to validate research findings; although the
majority of such data is created in digital
format, all research data is included irrespective of the format in
which it is created.”
UK Engineering and Physical Sciences Research Council (EPSRC)
• There is no single accepted definition of research data. Several definitions exist. It may
be useful to consider not just what material would be required to validate research
findings but also think about what information is needed to enable re-use of the data.
• Not all definitions of data will be appropriate for all disciplines.
• Data can be generated for one purpose and used for a completely different one.
5. Research Data Management (RDM)
• Data management is a general term covering how you organise, structure,
store, and care for the data used or generated during a research project.
• It includes:
– How you deal with data on a day-to-day basis over the lifetime of a
project.
– What happens to data in the longer term – what you do with your data
after the project ends.
• RDM is also considered one of the areas of responsible conduct for
research.
6. What is a DMP?
DMPs are written at the start of a project to define:
• What data will be collected or created?
• How the data will be documented and described?
• Where the data will be stored?
• Who will be responsible for data security and backup?
• Which data will be shared and/or preserved?
• How the data will be shared and with whom?
7. Benefits
Developing DMPs can help you to:
• Make informed decisions to anticipate & avoid problems.
• Avoid duplication, data loss and security breaches.
• Develop procedures early on for consistency.
• Ensure data are accurate, complete, reliable and secure.
• Save time and effort to make your lives easier.
8. Drivers of RDM
“Publicly funded research data are a public good, produced
in the public interest, which should be made openly
available with as few restrictions as possible in a timely
and responsible manner that does not harm intellectual
property.”
RCUK Common Principles on Data Policy
http://www.rcuk.ac.uk/research/datapolicy/
9. Institutional RDM Policy
2. Responsibility for RDM lies primarily with
Principal Investigators (PIs).
3. All new research proposals must include
research data management plans…
4. The institution will provide training, support,
advice and where appropriate guidelines and
templates…
7. Research data management plans must
ensure that research data are available
for access and re-use where appropriate…
http://www.ed.ac.uk/schools-departments/information-
services/about/policies-and-regulations/research-data-policy
10. What do UK Funders want?
http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
11. What do RCUK Funders want?
• AHRC, BBSRC, ESRC, MRC, NERC, and STFC all require some
form of data management or sharing plan as part of a funding
application.
• EPSRC does not ask for a DMP, but EXPECTS that one will exist!
• The requirements are diverse, but they all have the RCUK
Common Principles as their foundation.
12. RCUK common principles on data
policy -
Key messages:
1. Data are a public good and should be made openly available where possible.
2. Adherence to community standards and best practice. Preserve data of long-
term value.
3. Metadata for discoverability and access. Link to data from publications.
4. Recognise constraints (legal, ethical and commercial) on what data to release.
5. Allow embargo periods delaying data release to protect the effort of creators.
6. Acknowledge sources to recognise IP and abide by T&Cs.
7. Ensure cost-effective use of public funds for RDM.
http://www.rcuk.ac.uk/research/datapolicy/
13. MRC
• Called a “Data Management Plan”.
• Should be “concise” but no specific length restrictions.
• Must cover:
– Description of the data
– Data collection / generation
– Data management, documentation and curation
– Data security and confidentiality of potentially disclosive personal
information
– Data sharing and access
– Responsibilities
– Other relevant policies
http://www.mrc.ac.uk/research/research-policy-ethics/data-sharing/data-management-plans/
14. What do other funders want?
• Cancer Research UK and the Wellcome Trust both require data
management & sharing plans.
• European Horizon 2020 funding programme is currently piloting DMPs for
the 2014-2015 Work Programme:
– Future and Emerging Technologies
– Research infrastructures – part e-Infrastructures
– Leadership in enabling and industrial technologies – Information and Communication
Technologies
– Societal Challenge: 'Secure, Clean and Efficient Energy'–part Smart cities and
communities
– Societal Challenge: 'Climate Action, Environment, Resource Efficiency and Raw Materials'
– Societal Challenge: 'Europe in a changing world–inclusive, innovative and reflective
Societies'
– Science with and for Society
• The Pilot will give the EC a better understanding of what supporting infrastructure is
needed and of what factors impact on non-sharing such as security, privacy or data
protection.
15. Cancer Research UK
• Called a “Data Management & Sharing Plan”.
• No specific length restrictions.
• Must cover:
– volume, type, content and format of the final dataset
– standards that will be utilised for data collection and management
– metadata, documentation or other supporting material
– method used to share data
– timescale for public release of data
– long-term preservation plan for the dataset
– whether a data sharing agreement will be required
– any reasons why there may be restrictions on data sharing
http://www.cancerresearchuk.org/funding-for-researchers/applying-for-funding/policies-that-affect-your-grant/submission-of-a-
data-sharing-and-preservation-strategy
16. Wellcome Trust
• Called a “Data Management & Sharing Plan”.
• No specific length restrictions.
• Must cover:
– what data outputs will your research generate
– what data will have value to other researchers?
– when will you share the data?
– where will you make the data available?
– how will other researchers be able to access the data?
– are any limits to data sharing required?
– how will you ensure that key datasets are preserved to ensure their long-term value?
– what resources will you require to deliver your plan?
http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Data-sharing/Guidance-for-researchers/index.htm
17. European Horizon 2020
• Called a “Data Management Plan”.
• No specific length restrictions.
• Should cover:
– Data set reference and name
– Data set description
– Standards and metadata
– Data sharing
– Archiving and preservation
• Must be delivered in the first 6 months of project.
• Is expected to evolve and grow throughout duration of project.
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
19. Six themes for a DMP
1. Data types, formats, standards and capture methods
2. Ethics and Intellectual Property
3. Access, data sharing and reuse
4. Short-term storage and data management
5. Deposit and long-term preservation
6. Resourcing
20. 1. Data types, formats…
• What data outputs will your research
generate? Data type, volume, quality,
formats
• Outline the metadata, documentation
or other supporting material that should
accompany the data for it to be
interpreted correctly
• What standards and methodologies will
be utilised for data collection and
management?
• State the relationship to other data available in public repositories.
• Be prepared to explain and justify the choices being made.
21. 2. Ethics and IP
• Make explicit mention of consent, confidentiality,
anonymisation and other ethical considerations,
where appropriate, and strategies taken to not
preclude further re-use of data
• Demonstrate that you have sought advice on
and addressed all copyright and rights
management issues that apply to the resource
• Are any restrictions on data sharing required, for
example to safeguard research participants or to
gain appropriate intellectual property protection?
• Get advice on IPR from your research office at an early stage – before signing over
ANY rights to collaborators or commercial partners!
22. 3. Short-term storage & data
management
• Describe the planned quality assurance
and back-up procedures [security/storage].
• Use managed networked services
for storing your data.
• Specify the responsibilities for data
management and curation within research
teams and at all participating institutions.
• Keep track of all data generated.
23. 4. Access, data sharing & reuse
• Anticipate and plan for data reuse.
• Clarify issues surrounding
data ownership.
• Present a strong case for any
restrictions on sharing.
• Ensure all necessary ethical
approvals are in place.
• Be very clear about where, when
and how data will be made available.
• Get advice on ethics from Ethics Committee and advice on DPA from Records
Management before sharing, or refusing to share, any data.
24. Data sharing
• You should consider making your data available for others to re-use where
possible under appropriate safeguards.
• Repositories: ways of sharing data
– http://www.zenodo.org
– Figshare (interdisciplinary): http://figshare.com/
– Institutional (data) repository
– Domain or national data archive
• Registries:
– http://www.datacite.org/
– http://databib.org
– http://www.re3data.org/
• Advantages
- permanent / stable, findable, citable, safe and controlled environment
Have announced their plan to merge their
two projects into one service that will be
managed under the auspices of DataCite
by the end of 2015.
25. 5. Deposit & long-term preservation
• Explain your archiving/preservation plan
to ensure the long-term value of key datasets.
• Select data of long-term value: identify which of the
data sets produced are considered to be of long-term
value.
• Deposit all data with a responsible data
repository within specific period after the end of the
grant (as determined by funder)
• Assure that data will remain accessible. Use
existing infrastructure e.g. data archive or the
institutional repository,
• Some funders regards non-deposit of research data as
an exception and reserves the right to request deposit
when there is insufficient evidence to prevent data
sharing.
26. External repositories
When choosing an external repository you should consider:
• Does your funder require data to be offered to a specific repository?
• Is the repository sustainable?
• What will be done with your data if the repository closes down?
• How much will it cost? Are costs upfront or annual?
• Will data be easily accessible to them and to third parties?
• How does the repository promote discoverability?
• Does the repository record when data is accessed, downloaded, or cited
so they will get recognition for their work?
27. 6. Resourcing
• Outline and justify costs: what resources
will you require to deliver your plan, e.g.
data management and data preparation for
sharing.
• Be realistic about the human time and
effort required.
• Show that funds will be used efficiently
and effectively.
28. Supporting researchers with DMPs
Various types of support can be provided:
• Guidelines and templates on what to include in plans
• Example answers, guidance and links to local support
• A library of successful DMPs to reuse
• Training courses and guidance websites
• Tailored consultancy services
• Online tools (e.g. customised DMPonline)
29. DMPonline
Free and open web-based tool to help
researchers write plans:
https://dmponline.dcc.ac.uk/
• Templates based on different
requirements
• Tailored guidance (disciplinary,
funder etc.)
• Customised exports to a variety
of formats
• Ability to share DMPs with others
Edinburgh has started the process of
customising DMPonline for researchers.
DMPonline screencast:
http://www.screenr.com/PJHN
30. Software Management Plans
• A prototype Software Management Plan Service has been developed by
the Software Sustainability Institute to help researchers write software
management plans: https://ssi-dev.epcc.ed.ac.uk/
• They are relatively new for research software proposals, though many of
the elements discussed in these plans would be expected in standard
proposals.
• The EPSRC Software for the Future call explicitly requires software
management plans as part of the Pathways to Impact. NSF SI2 funding
requires software to be addressed as part of the mandatory data
management plan.
• A guide is on writing & using a software management plan is available:
http://www.software.ac.uk/resources/guides/software-management-plans
31. Software Management Plans
A software management plan can help researchers to:
• formalise a set of structures and goals that ensure research software is
accessible and reusable in the short, medium and long term
• consider whether third-party software to be used within a research
project will be available, and supported, for the lifetime of the project
• give funders confidence that software they have funded survives beyond
the funding period, that there is something to show for their investment
32. Exercise: What makes a good DMP?
In groups of 3 or 4:
• Read the materials that have been handed round.
• Thinking as a reviewer compare the 2 plans against the ESDS guidance you
have been given.
• Identify the strengths and weaknesses of each.
• Which one of these plans would you approve?
• What changes would you want made to the other plan before it would
gain approval?
33. Tips to share
• Keep DMPs simple, short and specific, avoid jargon.
• Seek advice - consult and collaborate.
• Start early – don’t wait until the last minute!
• The plan will - and should - change over the life of project. It is a living document
so need updating regularly.
• Always contact your funder when you need clarification or further information.
• Include all expected costs in your data management costing, esp. extra storage
space for active data, data deposit / long-term storage etc.
• Agree in your Team on using an open /standard /common format for long-term
preservation, and be consistent with it.
• Also see: http://www.youtube.com/watch?v=7OJtiA53-Fk
34. A final recommendation…
• MANTRA is an internationally
recognized self-paced online
training course developed by
EDINA & Data Library for PGR’s
and early career researchers in
data management issues.
• 8 self-paced learning modules
which map onto the research
data lifecycle
• Data handling exercises with
open datasets in 4 analytical
packages: R, SPSS, NVivo, ArcGIS.
http://datalib.edina.ac.uk/mantra
35. Links
• MRC Good research practice: Principles and guidelines
http://www.mrc.ac.uk/news-events/publications/good-research-practice-principles-and-
guidelines/
• Checklist for a data management plan. DCC (Digital Curation Centre)
http://www.dcc.ac.uk/sites/default/files/documents/resource/DMP/DMP_Checklist_2013.pd
f
• UK Data Archive: Data management costing tool
http://www.data-archive.ac.uk/media/247429/costingtool.pdf
• UK Data Archive: Anonymisation
http://www.data-archive.ac.uk/create-manage/consent-ethics/anonymisation
• UK Data Archive: Ethical/Legal
http://www.data-archive.ac.uk/create-manage/consent-ethics/legal
• Record Management: Taking sensitive information and personal data outside the University’s
computing environment
http://edin.ac/1hZaL07
25 years ago
disk storage - expensive
researchers interested in working with data came together to petition the PLU and the University’s Library – wanting a university-wide provision for files that were too large to be stored on individual computing accounts
Early holdings were research data from universities of edinburgh, glasgow, and strathclyde