Presented at the Workshop for Sustaonable Software for Science: Practice and Experiment (WSSSPE). Part of Supercomputing 2013 (SC13) in denver Colorado.
Why developing research software is like a startup (and why this matters)Neil Chue Hong
When we think about the software used in research and science, we might think of the commercial packages with thousands of users, or the millions of lines of code that support experiments such as the Large Hadron Collider, or indeed the millions of scripts written every day by researchers across the world to undertake simple tasks. What is clear is that modern research relies on software: a recent survey of UK researchers conducted by the Software Sustainability Institute reported that 92% of researchers used software, and 69% could not conduct their work without it. Millions of dollars are invested each year in supporting a quasi-industry of software production, with the equivalent of the full-spectrum from large multinationals and tiny cottage industries, but little is known about whether this is efficient or indeed appropriate. This talk will examine the similarities between the development of software in the research environment and the lifecycle of technology startup companies. It will also consider the driving factors behind adoption of software and the impact of software sustainability on the ability to conduct research.
"Designing for Truth, Scale and Sustainability" - WSSSPE2 KeynoteKaitlin Thaney
1) The document discusses designing scientific research practices and tools for truth, scale, and sustainability. It argues current systems are designed for friction rather than collaboration and progress.
2) It notes a perception crisis where up to 70% of research cannot be reproduced, representing wasted money. Shifting practice requires a multi-faceted approach including open tools, standards, incentives and recognition to foster reuse.
3) The document calls for further adoption of "web-enabled science" through access to content, data, code and materials with rewards for openness and collaboration. It discusses rethinking professional development to lower barriers to entry and foster sustainable practitioner communities.
Software Practice 12 breakout - Life for Software Beyond Public FundingSoftwarePractice
This document discusses different models for sustaining software beyond public funding. It describes funding agency, resell services, user pays, and community development models. For the community development model, it notes the importance of managing contributions from both the user and developer communities as well as recognizing contributions. The document also includes brainstorm topics such as best practices for maintainable software, building and engaging user/developer communities, oversight models, and funding maintenance.
Software Practice 12 breakout - Tracking usage and impact of softwareSoftwarePractice
The document discusses challenges in tracking the usage and impact of software and proposes ways to better attribute credit for software contributions. It notes that while papers can be cited, software is updated and maintained over long periods, so impact happens both when the software is initially developed and published as well as through ongoing updates and community support. The document suggests tracking downloads, citations of related papers, direct citations of software, license numbers, usage logs, and community participation to measure impact. It proposes establishing formalized practices for software citations and repositories to facilitate impact tracking. Changing reward structures and understanding of software value in academic careers is seen as a key issue.
Maintainable Software Practices for e-Science - Introduction to WorkshopSoftwarePractice
This document summarizes the First Workshop on Maintainable Software Practices in e-Science. The workshop addressed topics related to applying software engineering best practices to computational science projects. It included discussions on building sustainable software communities, adopting software in user communities, and models for the software lifecycle. The agenda covered morning sessions on communities and practices and afternoon sessions on models and methods. There was also discussion on changing research culture and incentives to better support maintainable software. The goal was to understand barriers to culture change and identify examples, practices and models that could help improve software sustainability in e-Science.
Sustainability in Scientific Software:Ecosystem complexityandSoftware Vis...James Howison
This document summarizes a presentation on sustainability in scientific software. It discusses how the recombination affordance of digital information threatens sustainability as software ecosystems become more complex with diverse uses. It suggests that the work needed to maintain software usefulness grows exponentially with this diversity. Strategies to improve sustainability include better understanding usage through sensing, facilitating adjustment and synchronization across software components, and increasing visibility of software usage.
The document discusses value-added services and Library 2.0 in academic libraries. It argues that libraries must embrace new technologies like wikis, blogs, social media, tagging and mashups to remain relevant to users. Libraries need to shift to a more user-centered model, inviting participation and collaboration. This will allow libraries to better serve users and reach new audiences.
This document discusses the role of open access and open educational resources in distance education. It begins by introducing the open access spectrum, including open content, publishing, data, and educational resources. It then covers the open access debate around issues like funding models and researcher resistance. Examples of open access initiatives at IDS are provided. Survey responses from libraries indicate variable support for open access, with some producing open journals or training staff and students. The conclusion discusses advantages of open access for reaching global and distance students and the need for libraries, IT, and academics to work together to build awareness and make resources available through open access.
Why developing research software is like a startup (and why this matters)Neil Chue Hong
When we think about the software used in research and science, we might think of the commercial packages with thousands of users, or the millions of lines of code that support experiments such as the Large Hadron Collider, or indeed the millions of scripts written every day by researchers across the world to undertake simple tasks. What is clear is that modern research relies on software: a recent survey of UK researchers conducted by the Software Sustainability Institute reported that 92% of researchers used software, and 69% could not conduct their work without it. Millions of dollars are invested each year in supporting a quasi-industry of software production, with the equivalent of the full-spectrum from large multinationals and tiny cottage industries, but little is known about whether this is efficient or indeed appropriate. This talk will examine the similarities between the development of software in the research environment and the lifecycle of technology startup companies. It will also consider the driving factors behind adoption of software and the impact of software sustainability on the ability to conduct research.
"Designing for Truth, Scale and Sustainability" - WSSSPE2 KeynoteKaitlin Thaney
1) The document discusses designing scientific research practices and tools for truth, scale, and sustainability. It argues current systems are designed for friction rather than collaboration and progress.
2) It notes a perception crisis where up to 70% of research cannot be reproduced, representing wasted money. Shifting practice requires a multi-faceted approach including open tools, standards, incentives and recognition to foster reuse.
3) The document calls for further adoption of "web-enabled science" through access to content, data, code and materials with rewards for openness and collaboration. It discusses rethinking professional development to lower barriers to entry and foster sustainable practitioner communities.
Software Practice 12 breakout - Life for Software Beyond Public FundingSoftwarePractice
This document discusses different models for sustaining software beyond public funding. It describes funding agency, resell services, user pays, and community development models. For the community development model, it notes the importance of managing contributions from both the user and developer communities as well as recognizing contributions. The document also includes brainstorm topics such as best practices for maintainable software, building and engaging user/developer communities, oversight models, and funding maintenance.
Software Practice 12 breakout - Tracking usage and impact of softwareSoftwarePractice
The document discusses challenges in tracking the usage and impact of software and proposes ways to better attribute credit for software contributions. It notes that while papers can be cited, software is updated and maintained over long periods, so impact happens both when the software is initially developed and published as well as through ongoing updates and community support. The document suggests tracking downloads, citations of related papers, direct citations of software, license numbers, usage logs, and community participation to measure impact. It proposes establishing formalized practices for software citations and repositories to facilitate impact tracking. Changing reward structures and understanding of software value in academic careers is seen as a key issue.
Maintainable Software Practices for e-Science - Introduction to WorkshopSoftwarePractice
This document summarizes the First Workshop on Maintainable Software Practices in e-Science. The workshop addressed topics related to applying software engineering best practices to computational science projects. It included discussions on building sustainable software communities, adopting software in user communities, and models for the software lifecycle. The agenda covered morning sessions on communities and practices and afternoon sessions on models and methods. There was also discussion on changing research culture and incentives to better support maintainable software. The goal was to understand barriers to culture change and identify examples, practices and models that could help improve software sustainability in e-Science.
Sustainability in Scientific Software:Ecosystem complexityandSoftware Vis...James Howison
This document summarizes a presentation on sustainability in scientific software. It discusses how the recombination affordance of digital information threatens sustainability as software ecosystems become more complex with diverse uses. It suggests that the work needed to maintain software usefulness grows exponentially with this diversity. Strategies to improve sustainability include better understanding usage through sensing, facilitating adjustment and synchronization across software components, and increasing visibility of software usage.
The document discusses value-added services and Library 2.0 in academic libraries. It argues that libraries must embrace new technologies like wikis, blogs, social media, tagging and mashups to remain relevant to users. Libraries need to shift to a more user-centered model, inviting participation and collaboration. This will allow libraries to better serve users and reach new audiences.
This document discusses the role of open access and open educational resources in distance education. It begins by introducing the open access spectrum, including open content, publishing, data, and educational resources. It then covers the open access debate around issues like funding models and researcher resistance. Examples of open access initiatives at IDS are provided. Survey responses from libraries indicate variable support for open access, with some producing open journals or training staff and students. The conclusion discusses advantages of open access for reaching global and distance students and the need for libraries, IT, and academics to work together to build awareness and make resources available through open access.
The document discusses the foundations of digital research and software sustainability. It promotes practices like developing reusable, reproducible software and careers in software. It also addresses issues like skills and training, recognition for software, and ensuring software is accessible, open, and its "correctness" can be assured. The document proposes a 5-star rating system for software quality and sustainability.
This document describes the Science Gateways Community Institute (SGCI), a new NSF-funded institute aimed at helping the scientific community more effectively build online gateways and resources for research. The SGCI will provide consulting services, training, developer support, opportunities for students and educators, and a forum for the gateway community to connect and exchange knowledge. The goal is for the SGCI to become a central resource for all aspects of building and supporting science gateways.
Practical Considerations for Open InfrastructureBohyun Kim
A conference presentation "Practical Considerations for Open Infrastructure" given by Bohyun Kim, CTO and Associate Professor, University of Rhode Island Libraries, at the NISO virtual conference: Community Owned Infrastructure: Partnerships & Collaboration, on March 24 2021. https://www.niso.org/events/2021/03/community-owned-infrastructure-partnerships-collaboration
Looking at Software Sustainability and Productivity Challenges from NSFDaniel S. Katz
The document discusses challenges in software sustainability and productivity faced by the National Science Foundation (NSF). It notes that NSF typically only funds software projects for 5 years, though many projects require support for 20+ years. It also discusses issues like a lack of career paths for software-focused researchers, inconsistent incentives and credit systems, training needs, challenges of interdisciplinary work, and ensuring software portability and dissemination. While the NSF has made some improvements through programs like SI2, the document concludes that more work remains to be done to address these challenges and push academic culture to better support long-term software projects.
This document discusses strategies for transforming a traditional inward-facing library IT department into a more outward-facing unit. It outlines how library IT departments have taken on additional responsibilities like supporting public computers, classrooms, and makerspaces. However, shifting to a more user-centered approach requires changes like prioritizing interaction, flexibility, and collaboration over stable operations. The document advocates expanding IT staff roles and applying Kotter's change management model to address challenges like resistance and differing priorities. Case studies show change is difficult but necessary as libraries evolve and technology demands grow.
Presentation for ECSU Staff Retreat - July 2014sbclapp
Libraries, er, Librarians in the Digital Age: Disruptions, Digital Thinking & Transformation - a presentation I gave at Eastern Connecticut State University (ECSU) Library's Staff Retreat on Wed., July 23, 2014
SCUP 2016 Mid-Atlantic Symposium: Big Data: Academy Research, Facilities, and Infrastructure Implications and Opportunities. John Hopkins, May 13, 2016
Preparing for Technological Changes within Academic LIbrariesRachel Vacek
A presentation given to the Oklahoma State University Library for their Library Futures Series. The presentation is about finding ideas for technology innovation, streamlining web content for reuse, preparing for mobile, and preparing for interacting with users in new ways.
Creation of visualizations based on Linked DataAlvaro Graves
A common task with any relatively large amount of data is to create visual representations that help users to make sense of such data and observe trends that otherwise would be hard for them to appreciate. The creation of these visual- izations usually requires some knowledge in a programming language, making it difficult for non-technical savvy users to create visualizations. In this paper we present Visualbox, a system that makes it easier for non-programmers to create web visualizations based on Linked Data. These visualiza- tions can be accessed by any modern web browser and can be easily embedded in web pages and blogs. We describe how people can create visualizations using Visualbox and we show examples of work done by real users. Finally we present a study that shows that Visualbox makes it easier for users to create Linked Data-based visualizations.
Charleston Conference: VIVO, libraries, and users.Ellen Cramer
A presentation on what VIVO is, why it is implemented in the library, and how the interface is influenced by the user and user behaviors.
Note: The animations are not working in this upload.
Student Achievement Review (initially presented during Inauguration Function of the Ohio Center of Excellence in Knowledge-Enabled Computing at Wright State (Kno.e.sis)) - updated since
Center overview: http://bit.ly/coe-k
Invitation: http://bit.ly/COE-invite
Web 2.0 was developed to enable collaboration, sharing of information, and greater flexibility online. It allows users to interact with each other on websites and change website content through tools like blogs, wikis, social networking, and video sharing. While early critics saw risks in exposing files online, Web 2.0 reached widespread adoption as more students began using its tools for social networking, collaboration, and e-portfolios in higher education. Champions of Web 2.0 helped drive its adoption by demonstrating how its capabilities matched needs for online collaboration and a common work space.
Building Academic Library 2.0 - Association of Christian LibrariansMeredith Farkas
This document discusses the concept of "Library 2.0" and how academic libraries can embrace new technologies and changing user needs to transition into digital environments. The key aspects of developing an Academic Library 2.0 include knowing your users, developing a culture of assessment and learning, keeping up with emerging technologies, making collections more visible and accessible online, enabling academic work through new spaces and services, and internally rewarding staff who take risks and contribute new ideas.
Designing Social Prescription Services to Support People with Long-Term Condi...Ulster University
This paper outlines a small study undertaken to assess user perspectives on the concept of social prescription services. Social prescribing is a mechanism linking patients in primary care with non-medical sources of support within the community. The work presented here supports the idea of patients becoming ‘active partners’ by providing health literature that is designed to suit their health literacy along with a service which introduces patients to actual programmes and services in their local area which suit their specific condition. By using innovative digital technology patient engagement is encouraged leading to greater self-care and independence in relation to long-term condition management.
Why Good Software Sometimes Dies... and how to save itNeil Chue Hong
A talk given by Neil Chue Hong at the JISC Innovation Forum 08 on software sustainability and the issues, challenges and potential solutions to improve the longevity and uptake of your research software.
Research Software Sustainability: WSSSPE & URSSIDaniel S. Katz
The document discusses research software sustainability efforts by the WSSSPE and proposed URSSI institute. It provides an overview of WSSSPE which promotes sustainable research software through community activities and working groups addressing various aspects of the software lifecycle. It also outlines the goals and activities of the conceptualized URSSI institute which aims to establish a US research software sustainability organization through workshops, surveys, and ethnographic studies to understand needs and develop a concrete institute plan.
Requiring Publicly-Funded Software, Algorithms, and Workflows to be Made Publ...Daniel S. Katz
This document discusses publicly-funded research software, algorithms, and workflows. It argues that software is fundamentally different than data and requires different policies regarding public access. The document outlines that a large portion of research is software-intensive and relies on software. However, software faces sustainability issues like "software collapse" if not actively maintained. The document recommends that funding agencies take steps to incentivize open source software and long-term maintenance through funding and career incentives. It suggests defaulting to open source models but allowing other options if justified, with the goal of software remaining useful over time beyond the initial funding period.
The document discusses the foundations of digital research and software sustainability. It promotes practices like developing reusable, reproducible software and careers in software. It also addresses issues like skills and training, recognition for software, and ensuring software is accessible, open, and its "correctness" can be assured. The document proposes a 5-star rating system for software quality and sustainability.
This document describes the Science Gateways Community Institute (SGCI), a new NSF-funded institute aimed at helping the scientific community more effectively build online gateways and resources for research. The SGCI will provide consulting services, training, developer support, opportunities for students and educators, and a forum for the gateway community to connect and exchange knowledge. The goal is for the SGCI to become a central resource for all aspects of building and supporting science gateways.
Practical Considerations for Open InfrastructureBohyun Kim
A conference presentation "Practical Considerations for Open Infrastructure" given by Bohyun Kim, CTO and Associate Professor, University of Rhode Island Libraries, at the NISO virtual conference: Community Owned Infrastructure: Partnerships & Collaboration, on March 24 2021. https://www.niso.org/events/2021/03/community-owned-infrastructure-partnerships-collaboration
Looking at Software Sustainability and Productivity Challenges from NSFDaniel S. Katz
The document discusses challenges in software sustainability and productivity faced by the National Science Foundation (NSF). It notes that NSF typically only funds software projects for 5 years, though many projects require support for 20+ years. It also discusses issues like a lack of career paths for software-focused researchers, inconsistent incentives and credit systems, training needs, challenges of interdisciplinary work, and ensuring software portability and dissemination. While the NSF has made some improvements through programs like SI2, the document concludes that more work remains to be done to address these challenges and push academic culture to better support long-term software projects.
This document discusses strategies for transforming a traditional inward-facing library IT department into a more outward-facing unit. It outlines how library IT departments have taken on additional responsibilities like supporting public computers, classrooms, and makerspaces. However, shifting to a more user-centered approach requires changes like prioritizing interaction, flexibility, and collaboration over stable operations. The document advocates expanding IT staff roles and applying Kotter's change management model to address challenges like resistance and differing priorities. Case studies show change is difficult but necessary as libraries evolve and technology demands grow.
Presentation for ECSU Staff Retreat - July 2014sbclapp
Libraries, er, Librarians in the Digital Age: Disruptions, Digital Thinking & Transformation - a presentation I gave at Eastern Connecticut State University (ECSU) Library's Staff Retreat on Wed., July 23, 2014
SCUP 2016 Mid-Atlantic Symposium: Big Data: Academy Research, Facilities, and Infrastructure Implications and Opportunities. John Hopkins, May 13, 2016
Preparing for Technological Changes within Academic LIbrariesRachel Vacek
A presentation given to the Oklahoma State University Library for their Library Futures Series. The presentation is about finding ideas for technology innovation, streamlining web content for reuse, preparing for mobile, and preparing for interacting with users in new ways.
Creation of visualizations based on Linked DataAlvaro Graves
A common task with any relatively large amount of data is to create visual representations that help users to make sense of such data and observe trends that otherwise would be hard for them to appreciate. The creation of these visual- izations usually requires some knowledge in a programming language, making it difficult for non-technical savvy users to create visualizations. In this paper we present Visualbox, a system that makes it easier for non-programmers to create web visualizations based on Linked Data. These visualiza- tions can be accessed by any modern web browser and can be easily embedded in web pages and blogs. We describe how people can create visualizations using Visualbox and we show examples of work done by real users. Finally we present a study that shows that Visualbox makes it easier for users to create Linked Data-based visualizations.
Charleston Conference: VIVO, libraries, and users.Ellen Cramer
A presentation on what VIVO is, why it is implemented in the library, and how the interface is influenced by the user and user behaviors.
Note: The animations are not working in this upload.
Student Achievement Review (initially presented during Inauguration Function of the Ohio Center of Excellence in Knowledge-Enabled Computing at Wright State (Kno.e.sis)) - updated since
Center overview: http://bit.ly/coe-k
Invitation: http://bit.ly/COE-invite
Web 2.0 was developed to enable collaboration, sharing of information, and greater flexibility online. It allows users to interact with each other on websites and change website content through tools like blogs, wikis, social networking, and video sharing. While early critics saw risks in exposing files online, Web 2.0 reached widespread adoption as more students began using its tools for social networking, collaboration, and e-portfolios in higher education. Champions of Web 2.0 helped drive its adoption by demonstrating how its capabilities matched needs for online collaboration and a common work space.
Building Academic Library 2.0 - Association of Christian LibrariansMeredith Farkas
This document discusses the concept of "Library 2.0" and how academic libraries can embrace new technologies and changing user needs to transition into digital environments. The key aspects of developing an Academic Library 2.0 include knowing your users, developing a culture of assessment and learning, keeping up with emerging technologies, making collections more visible and accessible online, enabling academic work through new spaces and services, and internally rewarding staff who take risks and contribute new ideas.
Designing Social Prescription Services to Support People with Long-Term Condi...Ulster University
This paper outlines a small study undertaken to assess user perspectives on the concept of social prescription services. Social prescribing is a mechanism linking patients in primary care with non-medical sources of support within the community. The work presented here supports the idea of patients becoming ‘active partners’ by providing health literature that is designed to suit their health literacy along with a service which introduces patients to actual programmes and services in their local area which suit their specific condition. By using innovative digital technology patient engagement is encouraged leading to greater self-care and independence in relation to long-term condition management.
Why Good Software Sometimes Dies... and how to save itNeil Chue Hong
A talk given by Neil Chue Hong at the JISC Innovation Forum 08 on software sustainability and the issues, challenges and potential solutions to improve the longevity and uptake of your research software.
Research Software Sustainability: WSSSPE & URSSIDaniel S. Katz
The document discusses research software sustainability efforts by the WSSSPE and proposed URSSI institute. It provides an overview of WSSSPE which promotes sustainable research software through community activities and working groups addressing various aspects of the software lifecycle. It also outlines the goals and activities of the conceptualized URSSI institute which aims to establish a US research software sustainability organization through workshops, surveys, and ethnographic studies to understand needs and develop a concrete institute plan.
Requiring Publicly-Funded Software, Algorithms, and Workflows to be Made Publ...Daniel S. Katz
This document discusses publicly-funded research software, algorithms, and workflows. It argues that software is fundamentally different than data and requires different policies regarding public access. The document outlines that a large portion of research is software-intensive and relies on software. However, software faces sustainability issues like "software collapse" if not actively maintained. The document recommends that funding agencies take steps to incentivize open source software and long-term maintenance through funding and career incentives. It suggests defaulting to open source models but allowing other options if justified, with the goal of software remaining useful over time beyond the initial funding period.
On community-standards, data curation and scholarly communication - BITS, Ita...Susanna-Assunta Sansone
The document discusses the vision of a "connected digital research enterprise" where researchers can more easily find and collaborate with others based on shared data and outputs. It describes a scenario where Researcher X discovers commonalities in data with Researcher Y, views Y's datasets and publications, and initiates a collaboration. Their joint work is captured and indexed, and a company utilizes some of the outputs while providing funding back to the researchers. The vision aims to more closely connect scientific work through shared digital resources.
Biomedical Research as an Open Digital EnterprisePhilip Bourne
The document discusses the challenges and opportunities facing biomedical research as it transitions to becoming a fully digital open enterprise. It notes issues around reproducibility, limited funding, and the need to better connect different elements of the research lifecycle like data capture, analysis, and publication. The author proposes the "Commons" as a conceptual framework to help address these issues by providing shared resources like cloud-based storage and computing, tools to discover and access data and software, and standards to improve reproducibility. The goal is to foster an ecosystem that maximizes the benefits of digital technologies for biomedical research.
Are Funders and Academic Institutions Approaches to Data Science AlignedPhilip Bourne
The document discusses whether funders and academic institutions have aligned approaches to data science. While both recognize the importance of data science, they are slow to adapt due to organizational silos and different priorities. The author provides examples of how funders are pushing for more open data sharing but institutions remain resistant. Both could better support data science through cross-institutional platforms and initiatives like Dataverse that integrate the research lifecycle.
Working towards Sustainable Software for Science: Practice and Experience (WS...Daniel S. Katz
This was a short talk about the WSSSPE events, given at the Dagstuhl workshop on Engineering Academic Software, 20 June 2016. It mostly discusses the working groups that have formed gradually over the WSSSPE meetings, and specifically those that worked through WSSSPE3, and what that have done since then.
The document summarizes the history and plans of the Working towards Sustainable Software for Science: Practice and Experience (WSSSPE) workshops. It discusses that WSSSPE1-3 identified challenges in developing sustainable scientific software and proposed solutions through working groups. Some groups made progress, such as on software credit principles, while others did not due to lack of follow through. WSSSPE4 plans to further the vision of sustainable open-use research software through workshops on building the future and sharing practices and experiences.
The document summarizes a community tool called the Data Management Plans Tool that is being developed to help researchers create data management plans (DMPs) required by many funding agencies. Version 1 of the tool will provide templates for the National Science Foundation and allow researchers to create, save, edit and publish DMPs. Future versions will expand the number of supported funders and allow additional users like editors, institutions and funders to contribute. The goal is for the tool to become the primary resource for creating DMPs in the US and enable collaboration across domains on data management best practices.
Discovery Service Implementation: What We Wish We Had Known, or Known to AskAndrea Coffin
Join this panel as they share their experiences, research, and wisdom on discovery service implementation, from a variety of settings and with a variety of products, including Primo, Encore, and EDS. Attendees will gain a broader understanding of what to expect before, during, and after implementation and what to ask vendors to get the best information and avoid pitfalls.
Presented in the workshop session "What Bioinformaticians Need to Know about Digital Publishing Beyond the PDF" at ISMB 2013 in Berlin. https://www.iscb.org/cms_addon/conferences/ismbeccb2013/workshops.php
NISO Two Day Virtual Conference:
Using the Web as an E-Content Distribution Platform:
Challenges and Opportunities
Oct 21-22, 2014
Maryann Martone, Ph.D., Professor of Neuroscience, University of California, San Diego
The document summarizes a workshop hosted by the NIH Associate Director for Data Science to discuss charting the future of data science at NIH. The workshop goals were to get input from all stakeholders, identify strategic directions, policies, and funding initiatives, and have participants leave as advocates and supporters. The agenda included providing background, open discussion, identifying topics for breakout groups, subgroup discussions, and reporting back. The document provides context on current NIH data science efforts and examples of collaborators in building a biomedical research digital enterprise.
Health and Sustainability of Open Source Software from a Public Sector Perspe...Johan Linåker
Open Source Software (OSS) makes up a critical part of today's digital infrastructure. As with physical infrastructure, its robustness and security depend on how well it is maintained. But how do you know how "well-maintained" and secure an OSS project is? Or what you can do to help? This presentation will shed light on the concept of health and sustainability of OSS projects, how to analyze it, and how to act on it. We will also discuss how this can help public as well as private entities in decisions related to OSS adoption and contributions, and consider how it may, and should, be part of a continuous and proactive security mindset and risk management process.
Towards Biomedical Research as a Digital EnterprisePhilip Bourne
Philip Bourne outlines his vision of transforming biomedical research into a digital enterprise by making data and other digital assets more open, interoperable, and accessible across boundaries through initiatives like the NIH's Big Data to Knowledge initiative; this would help address issues like the slow pace of discovery and non-reproducibility of research by better connecting scientists and their work.
This document discusses the sustainability of the ISA (Investigation/Study/Assay) tools and framework. It provides an overview of the ISA tools' code activity and releases, user community involvement and uptake over time, longevity through funding, and ecosystem of partners. It notes both positive and negative indicators for the tools' sustainability and discusses the need for sustainable scientific software more broadly.
Reproducibility: A Funder and Data Science PerspectivePhilip Bourne
The document discusses the NIH's efforts to improve reproducibility in biomedical research. It describes how the NIH is working to incentivize researchers to make their work reproducible through funding policies, tools, and a proposed "Commons" platform. The Commons would be a virtual platform located in public clouds that would make large NIH-funded datasets and tools FAIR (Findable, Accessible, Interoperable, and Reusable). Several pilots are exploring using the Commons approach to facilitate collaboration and reproducibility. The document raises questions about evaluating the success of the pilots and balancing various metrics in a potential larger-scale implementation of the Commons.
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
This document discusses the changing landscape of data science and AI in biomedicine. Some key points:
- We are at a tipping point where data science is becoming a driver of biomedical research rather than just a tool. Biomedical researchers need to become data scientists.
- Data science is interdisciplinary and touches every field due to the rise of digital data. It requires openness, translation of findings, and consideration of responsibilities like algorithmic bias.
- Advances like AlphaFold2 show the power of large collaborative efforts combining data, computing resources, engineering, and domain expertise. This points to the need for public-private partnerships and new models of open data sharing.
- The definition of
AI in Medical Education A Meta View to Start a ConversationPhilip Bourne
- AI has the potential to significantly impact medical education and healthcare.
- Chatbots and large language models can provide a rich training ground for students to learn, while augmented reality may change the student-patient dynamic.
- AI tools like predictive analytics and imaging analysis can assist in research, diagnosis, and personalized treatment, but models are still limited and education of implications is needed.
- If developed responsibly with oversight, AI could help democratize healthcare and create new industries, but history shows technology disruptions can also lead to deception if misused. The impacts and timeline of AI in medicine remain uncertain.
AI+ Now and Then How Did We Get Here And Where Are We GoingPhilip Bourne
The document discusses the past, present, and future of artificial intelligence (AI). It describes how AI has advanced due to increases in data and improvements in algorithms and computing technology. An example of AI, ChatGPT, is discussed as using large language models, pre-training, and transformers to generate language. The future of AI is uncertain but could involve neural networks that mimic the brain more closely. AI may disrupt many industries like education and research in the coming years or decades through forces of digitization, disruption, and other factors. The impacts and timeline of AI progress are difficult to predict precisely.
Thoughts on Biological Data SustainabilityPhilip Bourne
This document discusses approaches to improving biological data sustainability. It proposes moving from the current BDS 1.0 model to a BDS 2.0 model. BDS 1.0 is characterized by increasing data and costs but decreasing funds for innovation. BDS 2.0 would recognize the monetary value of data and embrace public-private partnerships and a data economy. It suggests a "data credits" system where data curation is a service with monetary value. The document provides examples of how this could work for the Protein Data Bank (PDB) and more globally. It argues BDS 2.0 could encourage competition, globalization, and private sector engagement to better foster sustainable and FAIR biological data.
The document discusses FAIR data and its importance. FAIR stands for Findable, Accessible, Interoperable, and Reusable. The author argues that data science is becoming a major driver in many fields due to the large amounts of digital data being created. For data and data science to reach their full potential, data needs to be FAIR so it can be easily discovered, accessed, integrated and reused. An example is given of a researcher combining health and vehicle crash data using techniques from data science to improve emergency care. Making data FAIR enables greater collaboration, public-private partnerships and opportunities for translation.
Data Science Meets Biomedicine, Does Anything ChangePhilip Bourne
Data science is driving major changes in biomedical research by enabling new types of integrative, multi-scale analyses. However, biomedical research may no longer lead data science due to a lack of comprehensive data infrastructure and cultural barriers. Responsible data science that balances openness, ethics, and benefiting patients could help establish biomedicine's continued leadership role. Major challenges include limited resources, attracting diverse talent, and prioritizing strategic initiatives over conforming to traditional models of research.
Presented online as part of the NASM series in Advancing Drug Discovery see https://www.nationalacademies.org/event/40883_09-2023_advancing-drug-discovery-data-science-meets-drug-discovery
Biomedical Data Science: We Are Not AlonePhilip Bourne
This document discusses biomedical data science and the opportunities and challenges presented by new developments in data science. Some key points:
- We are at a tipping point where biomedical research is no longer the sole leader in data science due to advances in many other fields. Biomedical researchers need to become data scientists to stay relevant.
- Data science is being driven by the massive growth of digital data and requires an interdisciplinary approach. It is touching every field and attracting many students.
- Developing effective data systems and infrastructure is a major challenge to enable open sharing and analysis of data. Initiatives are underway but more collaboration is needed across sectors.
- Advances in machine learning, like Alpha
BIMS7100-2023. Social Responsibility in ResearchPhilip Bourne
Social responsibility in research refers to conducting studies that benefit society while avoiding harm. It involves considering risks and benefits to human and animal subjects, ensuring transparency and integrity, and engaging stakeholders. Socially responsible research also addresses equity, diversity and inclusion. Data sharing is an important aspect of social responsibility, as it enables reproducibility and collaborative research. However, data must be shared in a FAIR manner and maintained over time to realize its full benefits. Researchers should consider social responsibility throughout the entire research lifecycle.
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
This document provides an overview of data science from the perspective of Philip Bourne. Some key points:
- Data science is disruptive to higher education and all disciplines are being impacted by large amounts of digital data.
- Data science can be defined using a 4+1 model focusing on value, design, systems, analytics, and practice.
- Principles of excellence, inclusivity, openness, and fairness should guide data science work.
- Lessons from advances in computational biology and AlphaFold2 show the importance of open data, collaboration, and engineering challenges.
- A data science school should focus on responsible data practices while balancing open research that benefits patients.
The document provides an overview of the School of Data Science at the University of Virginia and its approach to collaborating with Novo Nordisk on diabetes research. It discusses that the School of Data Science aims to catalyze discovery through interdisciplinary research, educate a diverse workforce, and serve the community by applying data science. It also provides examples of using artificial intelligence to recognize patterns related to diabetes and details potential areas of collaboration between the School and Novo Nordisk, including student projects, visiting fellows, faculty partnerships, and PhD mentorship.
Towards a US Open research Commons (ORC)Philip Bourne
On August 2nd, 2021, US scientists and officials met to discuss establishing a US Open Research Commons (ORC) to make research data and computing resources more accessible and interoperable across public and private sectors. Currently, US resources are siloed and limited in discoverability. Other countries have established similar initiatives that the US is not formally represented in. An ORC could pool resources to benefit a more diverse group of researchers in addressing societal challenges, but establishing one requires overcoming cultural and institutional barriers between agencies through policy leadership. Immediate action is needed for the US to remain competitive in open science.
This document discusses opportunities for precision education arising from the move to digital education during the COVID pandemic. It notes that for the first time, essentially all educational materials were digital, creating opportunities to make content findable, accessible, interoperable, and reusable. This could improve content quality through transparency and ratings similar to academic publishing. It also enables aggregated views of content and student performance, improved content and syllabi, and recommender systems. Challenges include issues around content ownership, sharing rules, bias, privacy, security, and adoption of next generation learning management systems.
The document discusses the rise of data science and its disruptive impact on higher education. It analyzes precedents like bioinformatics that were enabled by new digital data sources and technologies. The author advocates that universities should embrace data science by establishing interdisciplinary collaborations, investing in data infrastructure, and ensuring research has societal value and responsibility.
Philip Bourne presented on how data can advance sustainability. He discussed how high throughput DNA digital data changed biomedicine and spawned the new field of data science. Data science now touches all domains, including helping achieve UN Goal 10 of reducing inequalities through projects like using data to understand the history of Native American displacement. While data presents endless opportunities, it also has weaknesses like being messy and non-conclusive, and threats like bias and lack of training. Bourne advocates for building trust through evidence and creating an open data environment to realize data's potential, while acknowledging that sustaining open data faces challenges around proprietary concerns, security, and driving social change.
Frontiers of Computing at the Cellular and Molecular ScalesPhilip Bourne
3 basic points when establishing a new biomedical initiative. Presented at Frontiers of Computing in Health and Society, George Mason University, September 21, 2021.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
2. Outline
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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3. My Perspective/Bias
•
•
•
•
•
•
•
Basic scientist in the biomedical sciences
Not coded anything for years
Built computing infrastructure
Manage software project teams of ~10 people
Formed 4 software-based companies
15 years with a community resource – PDB
Helped to establish communities –
PLOS, FORCE11, DELSA, NIF
• University Administrator
• Journal co-founder
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4. Motivation – The Good News
• Those iconic DNA and protein
representations were drawn by hand
• Molecular graphics emerged to
automate this process
• Today cell contents are drawn by
hand
• Automating that conceptualization is
is just one next step
We are at the beginning of what software
will bring to the life sciences
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6. Thinking on Software back in 2008..
•
•
•
•
•
Costs too much
Is located in silos
Does not foster reproducibility
Is poorly maintained – is unsustainable
Does not meet the needs of 21st century
biology
• Is a major time waster
Computational Biology Resources Lack
Persistence and Usability. PLoS Comp. Biol.
2008 . 4(7): e1000136
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7. What Got Me Thinking More
• Software development in science has
improved thanks to open
source, github etc. but for the most
part remains arcane
• Software (and data) atrophy is a
problem
• There is much we can learn from the
app model
– Consistent user interface – intuitive
– Common calling interface
– App store – ratings commentary etc.
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8. The Protein Data Bank (PDB)
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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9. The Protein Data Bank (PDB)
• The single community
owned worldwide repository
containing structures of
publically accessible
biological macromolecules
• A resource used by ~
300,000 individuals per
month
• A resource distributing
worldwide the equivalent to
¼ the National Library of
Congress each month
• A bicoastal resource
• 1TB
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10. PDB: Looking Back Over the Past
15 Years – In General
• Everything was harder and took longer than we
thought
• There are a lot of politics associated with data and
software
• Emphasis has shifted from archive to + analytical
tool to + educational tool
• Consequently outreach is our most important yet
least understood activity today
• Staff needed to change accordingly
• It has become a worldwide enterprise
• Prorated our budget has decreased
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11. PDB: Looking Back Over the Past
15 Years – Infrastructure
• It took about 5 years to achieve and
subsequently sustain 99.99% uptime
• We have gone through 3 distinct code
refreshes another is needed
– Object model / Perl CGI
– Enterprise Java
– Code rewrite Enterprise Java
Bluhm et al. 2011 Quality Assurance
doi: 10.1093/database/bar003
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12. PDB: Looking Back Over the Past
15 Years – Open Source
• Only considered in the past 7 years or so
• Had “PDB in a Box” but abandoned that
• Now new components are made available
through biojava and github
• Don’t really use community contributions
enough
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13. PDB: Trends Today
• Constant demand for better
performance
• Use of Web services increasing
• Widgets have not taken off
• Mobile use is increasing fast
• PDB 2.0 services are in demand
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14. PDBMobile
Objective: PDB Data Access On-The-Go
• Fast, low bandwidth data access
• iPhone in production ~ 10,000 users
• Android in beta
• HTML 5-based web application
• Client-side database stores data for
offline-access
• Tight integration with MyPDB
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15. PDB Sustainability
• Its easier when the data are seen as vital to
the scientific enterprise
• Quality breeds trust which breeds support
• The community must be involved in every
major decision
• Different people/skills are needed at different
time points
• The Google bus is inevitable – make
allowances for it
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16. Sustainability Through the Private
Sector
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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17. Founded 4 Companies
• ViSoft Inc.
• Protein Vision Inc.
• Film Frontiers
• SciVee Inc.
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18. Sustainability Through Companies
• Making a business from scientific software alone
is very rare – founders tend to overvalue
everything; customers undervalue
• Be at the right place on the technology adoption
curve
• Need to provide value add – either through
content (again rare for science) or services –
increasingly likely but needs a special skill set
• TTOs do not understand the value (or lack) of
scientific software – be prepared
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19. Journals & Sustainability
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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20. The Role of Journals
• Journals can help elevate the value of
software and software developers
• However, it propagates a broken reward
system
• Provide quality control through peer review
• Provide copy of record
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21. Example: PLOS Computational Biology
Software Articles - Requirements
• Outstanding open source software of exceptional
importance that has been shown to provide new
biological insights, either as a part of the software
article, or published elsewhere.
• The software must already be widely adopted, or have
the promise of wide adoption by a broad community of
users.
• No enhancements published
• The software must be downloadable anonymously in
source code form and licensed under an OSI license
• Must be documented and testable
• Presubmission determines suitability
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23. The PLOS/Mozilla Experiment
• How much scientific software can be reviewed
by non-specialists, and how often is domain
expertise required?
• How much effort does this take compared to
reviews of other kinds of software, and to
reviews of papers themselves?
• How useful do scientists find these reviews?
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24. Institutions Can Sustain Developers
and Software
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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25. University 2.0 Is Yet to Happen –
Demand Appears to be There
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26. Institutions Underrate Software as
Scholarship, But There is a Glimmer of
Hope – But You Must Do Your Bit
PLoS Comp. Biol. 7(1) e1002001
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27. Your Responsibility for Software as
Scholarship
• Make it easy for software developers to
quantify the use and perceived value of
software
• Explain to reviewers who do not understand
the value the impact you have had
• Software is frequently more valuable that a
research article – don’t hide that
• Make clear the costs and sustainability issues
to institutions
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28. The Academic Institutions
Responsibility for Software as
Scholarship
• Accept alternative metrics
• Encourage individual departments to put
forward promotion files that reflect the value
of software to that domain
• Educate the committee on academic
promotions
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29. Funders & Sustainability
• My Perspective/Bias
• Motivation
• Experiences providing ingredients to the
recipe:
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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30. NIH As An Example
http://acd.od.nih.gov/Data%20and%20Informatics%20Working%20Group%20Report.pdf
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33. Features of the Software Catalog
(Maybe)
•
•
•
•
•
Driven by the community
Registration service
Rating service
Discovery service
Long term sustainability?
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34. The Role of Funders
• There needs to be more agency cross-talk –
both national and international
• Funders can help train institutions not just
individuals
• Better specification of the software enterprise
• Less build it and they will come – more grass
roots application driven support but managed
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35. The 3D Virtual Cell & FORCE11
Communities
• My Perspective/Bias
• Motivation
• Experiences driving ingredients to the recipe
– The role of journals
– The role of institutions
– The role of the community
– The role of funders
– A business model
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37. Sustainability Lessons from the 3D
Virtual Cell
• There remains a minimal requirement for
funding even with a vibrant community –
How?
• Communities still need champions & a vision
• Self organization is not an option
• Members must like each other – face to face is
needed
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