Collaborative Data Analysis with Taverna Workflows

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Microsoft eScience Workshop 2009 presentation on collaborative development of Taverna workflows for data analysis in FLOSS research.

Tecnología Educación

Collaborative Data Analysis with Taverna Workflows Andrea Wiggins, Kevin Crowston & James Howison 16 October 2009

FLOSS Phenomenon ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

eScience Proof-of-Concept ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Research Replication Classifies projects based on metrics for success and stage of project growth English & Schweik, 2007 Examines dynamics of social networks of project communications over time Howison et al., 2006 Examines distribution of project sizes for evidence of preferential attachment theory of growth in networks Conklin, 2004 Description Study

FLOSS Research Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

RoRs: FLOSSmole ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

RoRs: SRDA ,[object Object],[object Object],[object Object]

Analysis Tool Requirements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Integrating Diverse Skills ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Taverna ,[object Object],[object Object],[object Object],[object Object],[object Object]

Work Process ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

“ Identifying success and tragedy of FLOSS Commons” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Classification Workflow

Key Strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Important Details ,[object Object],[object Object],[object Object],[object Object],[object Object]

Extending Analyses ,[object Object],[object Object],[object Object],[object Object]

Workflow Re-use ,[object Object],[object Object],[object Object],[object Object],[object Object]

Challenges with Using Workflows ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Barriers to Uptake ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],Example: Recent Research

“Normal” Download-Release Patterns ,[object Object],[object Object]

[object Object],Taverna’s Download-Release Patterns 1.3.2-RC1 +2 presentations 1.5.0 ? ?

Interpretation ,[object Object],[object Object]

Questions? ,[object Object],[object Object],[object Object],[object Object]

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Over the past 5 years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs and so forth. Don’t stop reading. Data management isn’t likely to win anyone a Nobel prize. But publications should be supported and accompanied by data, methods, procedures, etc. to assure reproducibility of results. Funding agencies expect data (and increasingly software) management retention and access plans as part of the proposal process for projects to be funded. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation. The FAIR Guiding Principles for scientific data management and stewardship (http://www.nature.com/articles/sdata201618) has been an effective rallying-cry for EU and USA Research Infrastructures. FAIRDOM (Findable, Accessible, Interoperable, Reusable Data, Operations and Models) Initiative has 8 years of experience of asset sharing and data infrastructure ranging across European programmes (SysMO and EraSysAPP ERANets), national initiatives (de.NBI, German Virtual Liver Network, UK SynBio centres) and PI's labs. It aims to support Systems and Synthetic Biology researchers with data and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety. This talk will use the FAIRDOM Initiative to discuss the FAIR management of data, SOPs, and models for Sys Bio, highlighting the challenges of and approaches to sharing, credit, citation and asset infrastructures in practice. I'll also highlight recent experiments in affecting sharing using behavioural interventions. http://www.fair-dom.org http://www.fairdomhub.org http://www.seek4science.org Presented at COMBINE 2016, Newcastle, 19 September. http://co.mbine.org/events/COMBINE_2016

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AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨‍🏫👨‍💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

UiPathCommunity

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

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Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Introduction to Multilingual Retrieval Augmented Generation (RAG)

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

MINDCTI Revenue Release Quarter One 2024

CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

CNIC Information System with Pakdata Cf In Pakistan

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Collaborative Data Analysis with Taverna Workflows

1. Collaborative Data Analysis with Taverna Workflows Andrea Wiggins, Kevin Crowston & James Howison 16 October 2009

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4. Research Replication Classifies projects based on metrics for success and stage of project growth English & Schweik, 2007 Examines dynamics of social networks of project communications over time Howison et al., 2006 Examines distribution of project sizes for evidence of preferential attachment theory of growth in networks Conklin, 2004 Description Study

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