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Presentation at "Data in libraries: the big picture" IFLA Satellite meeting, https://www.lib.uchicago.edu/conferences/ifla2016-data-in-libraries/agenda/
August 10, 2016, Chicago, IL
Nettie Lagace, NISO
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 5, "DMPs and Public Access: Agency and Data Service Experiences"
Presenter:
Jonathan Petters, Johns Hopkins University
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
Presentation at "Data in libraries: the big picture" IFLA Satellite meeting, https://www.lib.uchicago.edu/conferences/ifla2016-data-in-libraries/agenda/
August 10, 2016, Chicago, IL
Nettie Lagace, NISO
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 5, "DMPs and Public Access: Agency and Data Service Experiences"
Presenter:
Jonathan Petters, Johns Hopkins University
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
ESIP Federation: Community-Driven, Collaborative Governance - Carol Beaton Me...ASIS&T
ESIP Federation: Community-Driven, Collaborative Governance
Carol Beaton Meyer
Presentation at Research Data Access & Preservation Summit
22 March 2012
‘Good, better, best’? Examining the range and rationales of institutional dat...Robin Rice
Introduction to panel presentations from Universities of Edinburgh, Southampton, Yale, Cornell at IPRES 2015 conference, Chapel Hill, North Carolina, 3 Nov 2015
RDAP14: Maryann Martone, Keynote, The Neuroscience Information FrameworkASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Maryann Martone, Principal Investigator, Neuroscience Information Framework, University of California, San Diego
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Managing sensitive data at the University of BristolJisc RDM
Presentation on managing sensitive data at the University of Bristol by Kellie Snow, Research Data Librarian for the Research Data Network event, May 2016, Cardiff University.
This presentation was provided by Dr. Christine Borgman of UCLA during the NISO Symposium, Privacy Implications of Research Data, held on September 11, 2016, as part of the International Data Week event in Denver, Colorado.
Libraries, RDM and e-infrastructure requirementsSusan Reilly
Presentation by S.K. Reilly on the e-infrastructure requirements of libraries and the LERU Roadmap for Research Data. Presented at the EIRG meeting, Athen, 10 June, 2014
ESIP Federation: Community-Driven, Collaborative Governance - Carol Beaton Me...ASIS&T
ESIP Federation: Community-Driven, Collaborative Governance
Carol Beaton Meyer
Presentation at Research Data Access & Preservation Summit
22 March 2012
‘Good, better, best’? Examining the range and rationales of institutional dat...Robin Rice
Introduction to panel presentations from Universities of Edinburgh, Southampton, Yale, Cornell at IPRES 2015 conference, Chapel Hill, North Carolina, 3 Nov 2015
RDAP14: Maryann Martone, Keynote, The Neuroscience Information FrameworkASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Maryann Martone, Principal Investigator, Neuroscience Information Framework, University of California, San Diego
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Managing sensitive data at the University of BristolJisc RDM
Presentation on managing sensitive data at the University of Bristol by Kellie Snow, Research Data Librarian for the Research Data Network event, May 2016, Cardiff University.
This presentation was provided by Dr. Christine Borgman of UCLA during the NISO Symposium, Privacy Implications of Research Data, held on September 11, 2016, as part of the International Data Week event in Denver, Colorado.
Libraries, RDM and e-infrastructure requirementsSusan Reilly
Presentation by S.K. Reilly on the e-infrastructure requirements of libraries and the LERU Roadmap for Research Data. Presented at the EIRG meeting, Athen, 10 June, 2014
This slide deck provides an overview and resources to respond to the OSTP memo with the subject: Increasing Access to the Results of Federally Funded Scientific Research issued by John P. Holdren in February 2013. It provides resources and information agencies, foundations, and research projects can use to assemble achieve public access to scientific data in digital formats.
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
Data management: The new frontier for librariesLEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”, by Kathleen Shearer, COAR, CARL/ABCR, RDC/DCR, ARL, SSHRC/CSRH.
Data Sharing with ICPSR: Fueling the Cycle of Science through Discovery, Acce...ICPSR
Data Sharing with ICPSR was presented at IASSIST 2015 in Minneapolis, MN.
The learning objectives and content cover:
- Federal data sharing requirements and
other good reasons to share data
• Options for sharing data
• Protection of confidentiality when
sharing data
• Data discovery tools
• Online data exploration tools from ICPSR
Professor Rob Kitchin from the Programmable City and Maynooth University presents the possible pitfalls to opening data in addition to the costs associated with this practice.
Overview and library support for data management/sharingrds-wayne-edu
Presented as part of the 16Jan2014 Professional & Academic Development (PAD) Seminar on "Developing a Data Management Plan and Ensuring Secure Data Access", Wayne State University - Division of Research.
Ginny Pannabecker, Life Science & Scholarly Communications Librarian at Virginia Tech, is an ACRL Science and Technology Section (STS) liaison to the American Institute of Biological Sciences (AIBS). This presentation shares key points for librarians and researchers from an AIBS workshop on "Changing Practices in Data Publications," which took place in December 2014 and involved representatives from federal funding agencies; publishers and librarians; scientific societies and journals; and data services / providers.
This slide set examines the contention that opening data is an inherently good thing - that the case for open data is an open and shut case. It sets out a contrary view that whilst open data is desirable, much more critical thinking is required as to what this means in practice and the possible negative implications of opening data, and calls for a wider debate about the relative merits and politics of open data and how we go about opening data.
Federal Funder Mandates for Open Access Brown Bag
UVa OA Week Presentation
Library data management experts Sherry Lake and Andrea Denton will lead a discussion of current and upcoming mandates for making the results of federally-funded research open to the public. Bring your questions about NIH, NEH, NSF, DOE, and other funders.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Stewarding Big Data
1. Stewarding Big Data: Perspectives on Public Access
to Federally Funded Scientific Research Data
Big Data and Big Challenges for Law and Legal Information
Georgetown Law Library
January 30, 2013
William G. LeFurgy
Library of Congress
@blefurgy
2. My Perspective on Big Data
Stewardship
• Realizing full potential from big data depends
keeping it accessible over time
• Accessibility depends on life cycle management,
most especially preservation
• Advocate for collaborative, distributed model
• Understand that “stewardship” has a different
meaning for many data creators
3. White House RFI Input
Instructive
• Request for Information on Public Access to
Federally Funded Scientific Research Data, Nov.
2011
• Interested individuals and organizations to
provide recommendations on approaches for
ensuring long-term stewardship and
encouraging broad public access
• Input provided to inform development of agency
policies and standards for managing big data
4. Summary of Responses
• 118 individual responses
– 50% from academic research departments,
professional organizations
– 35% from libraries, repositories and allied
organizations
– 10% from publishers and commercial organizations
– 5% other
• Excellent (unstructured!) data set to analyze
current thinking on big data stewardship
5. Top-Level Policy Recommendations
• Remarkable degree of congruence among
comments
– Broadly allocate adequate resources for data
stewardship
– Extend a collaborative national digital stewardship
infrastructure
– Institute and enforce a data preservation mandate
– Strongly encourage policies to support secondary
use, respect for data
• But… conflicted about IP, copyright, privacy
6. Need: Resources
• Funders to include money in awards for data
stewardship
• Need cost models, other guidance for estimating
data life cycle costs
• Allocate expanded resources to support national
data repositories
7. Need: National Digital Stewardship
Infrastructure
• Leverage current institutional efforts to
define best practices, tools, services
• Extend community of practice for data
stewardship through collaborative action
across disciplines
• Develop a skilled workforce with data
stewardship expertise
8. Need: A Data Preservation Mandate
• Incentivize grant applicants to make realistic
plans for data
– Stronger data manager requirements in application
process
– Tie future awards to demonstrated success with data
stewardship
– Enable direct support of PIs by data stewardship
specialists
9. Support: Secondary Use, Respect for Data
• Broadly apply a citation mechanism for
data sets (e.g., DataCite, DOIs)
• Criteria for evaluating grant applications
tied to secondary use of data
• Give equal credit for publishing articles
and data sets
• Develop robust metrics to track data
publication and use
10. Muddled Picture for IP
• Opinions diverge about role of copyright,
patents, etc., in regard to research data
– Commercial interests see IP as critical
– Many data users favor Creative Commons or public
domain approach
– Data creators fall between these positions
• A significant degree of concern raised regarding
privacy in connection with IRB, personal data
11. Next Steps
• Two interagency working groups within the
National Science and Technology Council
reviewing recommendations
• Groups will develop science agency policies for
data dissemination and stewardship
• Potential for major change, as policies may have
association with funding from the Federal
science agencies
12. Websites
Request for Information: Public Access to Digital Data Resulting From
Federally Funded Scientific Research, http://ow.ly/ePB93
Your Comments on Access to Federally Funded Scientific Research
Results, http://ow.ly/ePBb9
National Science and Technology Council, http://ow.ly/h87Li
Editor's Notes
Thanks for having me here today. I’m going to do my best to give you an overview from the perspective of libraries and archives on keeping big data for scholarship and public policy.
I like the term “stewarding” to sum up all the activities involved in acquiring, preserving and making available data sets. Stewarding is essential if we as a society are going to see the full potential from big data. It’s a pretty basic proposition: somebody must devote time and effort to keeping data and to helping users access it. If this doesn’t happen, data will be hard to use, scattered and even lost. There are two basic considerations here. Collecting organizations need to concern themselves with the full life cycle of data, from initial creation, through use, to “archiving,” to long-term preservation and access, and The job is bigger than any one organization can handle; the volume and complexity of data require many organizations to work together in new ways.
I thought a good way to frame this discussion would be to summarize what a variety of organizations said in response to a recent White House request for information. This request asked for input about ensuring stewardship and encouraging broad public access to federally funded scientific research data. The White House will use the information submitted to draft revised agency policies in connection with big data. This has huge potential. The revised policies could cover requirements for data management tied to billions in funding from the National Science Foundation, the National Institutes of Health and other funding agencies.
The White House says they received 118 individual responses, all of which are made available on their website. There’s an interesting mix of respondents. Half came from discipline-specific academic research departments or professional organizations. I’d characterize them as data creators and data users. About a third of the submissions came from libraries, archives and other collecting entities. The rest came from a mix of individuals, publishers and commercial organizations. What we have here is an excellent data set that offers a broad-based snapshot of current thinking on data preservation. The response data set is seriously unstructured, as it is made up of randomly formatted textual documents, but it fairly easy to analyze.
I was pleasantly surprised at the degree of congruence among the comments. Nearly everyone enthusiastically agreed that enhanced data stewardship was critical, both to support primary scientific research and broad secondary use by the public. Most submissions explicitly called for increased resources for data stewardship. There was heavy agreement that a distributed national digital stewardship infrastructure was the right vehicle for the infusion of new funding. Apart from money, the comments also aligned in calling for a strong data preservation mandate from funding agencies. The basic idea is that receipt of funding awards should be tied to a clear expectation for long-term data management. Many of you won’t be surprised to hear that there was much less agreement on traditionally thorny topics such as intellectual property, copyright and personal privacy.
In terms of a push for increased resources, the comments clustered around three intentions. Individual funding awards should include a dedicated line item for data stewardship There is a need for models for projecting the lifetime cost of keeping data. Funding also needs to be channeled to a national infrastructure, most especially to support a distributed network of data repositories.
The focus on a national data infrastructure zeroed in on ideas for extending work that’s already underway in terms of standards, tools, and best practices. There was enthusiasm for boosting the present community of practice for data stewardship, most particularly in a way that bridges different research disciplines. This really makes sense to me. While there is excellent work going on, much of it tends to reside in specialty silos. We need to accept that, at a certain level, data stewardship has a common set of requirements that are best addressed collectively. Related to this is a pressing need for a much expanded work force of data stewards.
The need for a data preservation mandate comes down to what economists call “incentivizing.” In other words, if we want better data management, principal investigators have to be properly motivated. This motivation can come in different forms. Funding applications could call for detailed attention to data management. Evaluation of funding awards can be tied to prior demonstrated success with data stewardship And there could be provisions for data stewardship specialists to support PIs.
There was strong support for what I characterize as “respect for data,” which is linked to recognizing the broad potential for secondary use. Ideas for enabling this include adoption of a citation mechanism for data sets, such as that offered by the DateCite organization. Related to this was the proposal to give the same credit for providing useful data sets as is now given for published articles. Securing this kind of credit depends on developing a new set of metrics to track data sets and their use.
It’s no shock that consensus evaporated when it came to traditional hot-button issues. Commercial interests see control of IP as critical, while data users want relaxed IP barriers. Data creators fall between these endpoints—some want more stringent control, while others see the benefit of wider use. The issue of data privacy, most especially in connection with personal data collected under IRB rules, was strongly voiced by a number of creators, some of whom said that rules essentially barred any secondary use of certain data sets.
In terms of next steps, the ball is in the White House’s court. Two interagency working groups are mulling over the comments and will use them to draft new policies governing data stewardship. As I noted earlier, we have the potential for major improvements in how federally funded data is kept and used. But I hasten to add that the outcome is still uncertain. What is clear, however, is that there is a strong consensus among data producers, users and keepers about what should happen.
Here is a list of the websites I used in developing this presentation. Thank you.