Summary of Papers on Science Software Sustainability Models for WSSSPE Panel II

<p>Slides for presentation summarizing papers identified as exploring models for science software sustainability. Part of Panel II for WSSSPE Workshop at SC13, 17 November 2013.</p

A User Perspective on Sustainable Scientific Software

<p>A short white paper articulating a user's perspective on some aspects of scientific software development, maintainenance, and sustainatility.  Written for the <strong>First Workshop on Sustainable Software for Science: Practice and Experiences, </strong>to be held in conjunction with SC13, Sunday, November 17, 2013, Denver, CO. </p

Developing a Science Commons for Geosciences

This poster describes a vision for and examples of cyberinfrastructure that create an integrated platform for data access, data analysis, and data management for science. The particular example featured in this poster is the Risk Analytics Discovery Environment (RADE). RADE features three case studies related to leveraging big data approaches to examine the concept of risk in different contexts

Boundary Spanning, Data and Software Curation, and Cyberinfrastructure Deployment: Dimensions for Developing Science Gateways

<div>There are many incentives to repurpose science cyberinfrastructure capabilities developed for one domain application for use in another domain. These incentives include funder programmatic goals, potential efficiencies through reuse, generative value creating new science, and supporting scientific reproducibility. </div><div><br></div><div>Whether you call it the process crossing the ‘valley of death’, tech infusion, or developing a science gateway, challenges bringing data science, computer science, and domain science experts together to create a domain specific science platform based on existing capabilities can be a frustrating and laborious process with no guarantee of success. These challenges may be fundamental as communicating and translating a concept from one domain to another, or finding a common basis of understanding to transfer domain knowledge and technical knowledge between the two communities, or instilling leading edge curation and development practices. </div><div><br></div><div>This poster outlines the approach that the Renaissance Computing Institute has developed to address these aspects of these challenges. RENCI uses both technical side and the knowledge side to bridge these gaps. More specifically, RENCI’s hybrid approach includes, technology hardening and refactoring, an interoperable technology stack driven by rules and policies, and a focus on boundary objects and boundary, spanning project expertise. RENCI’s experience developing science cyberinfrastructure has contributed to the development of our approach. </div><div><br></div><div>Our poster will describe how these methods have been developed and deployed in the context of a number of RENCI projects including iRODS (Integrated Rule Oriented Data System, {xDCI}Share (Cross-domain cyberinfrastructure), and Risk Analytics Discovery Environment (RADE). In addition to describing the application and methods, we will also share some lessons learned along the way in the context of RENCI projects. </div

Data Management Lifecycle and Software Lifecycle Management in the Context of Conducting Science

<p>This paper presents an overview of the data management lifecycle and software development lifecycles to look for ways to improve sustainable science software.</p

Pre-, Mid-, and Post-Course Evaluation Surveys for the 2014 Open Science for Synthesis (OSS) Training Workshop

<p><b>Pre-, Mid-, and Post-Course Evaluation Surveys for the 2014 Open Science for Synthesis (OSS) Training Workshop</b><i> </i></p> <p><i>Please cite as:</i></p><p> </p><p>Rebich-Hespanha S, Jones MB, Schildhauer MP, Idaszak R, Aukema JE, Hampton SE, Regetz J, Lenhardt WC, Ahalt S. (2016). Pre-, Mid-, and Post-Course Evaluation Surveys for the 2014 Open Science for Synthesis (OSS) Training Workshop. <i>figshare</i>. doi: 10.6084/m9.figshare.2070082</p><p><b><i>About Open Science for Synthesis</i></b></p><p>Open Science for Synthesis is a unique bi-coastal training offered for early career scientists who want to learn new software and technology skills needed for open, collaborative, and reproducible synthesis research.</p> <p>UC Santa Barbara’s National Center for Ecological Analysis and Synthesis (NCEAS) and University of North Carolina’s Renaissance Computing Institute (RENCI) co-led Open Science for Synthesis (#OSS2014) as a three-week intensive training workshop with participants in both Santa Barbara, CA and Chapel Hill, NC from July 21 - August 8, 2014. The training was sponsored by the <a href="http://isees.nceas.ucsb.edu/">Institute for Sustainable Earth and Environmental Software</a> (ISEES) and the <a href="http://renci.org/research/water-science-software-institute/">Water Science Software Institute</a> (WSSI), both of which are conceptualizing an institute for sustainable scientific software.</p> <p>Participants received hands-on guided experience using best practices in the technical aspects that underlie successful open science and synthesis – from data discovery and integration to analysis and visualization, and special techniques for collaborative scientific research, including virtual collaboration over the Internet. A dynamic group of instructors provided for a mixture of instructive lectures, discussions forums, exercises, and real world application of skills to synthesis projects.</p> <p>More information about the OSS training workshop can be found at <a href="https://www.nceas.ucsb.edu/OSS">https://www.nceas.ucsb.edu/OSS</a>.</p> <p><b><i>About the Surveys</i></b></p><p>This document contains 3 surveys: pre-course, mid-course, and post-course. Questions appear in this document in the order in which they appeared in the surveys. Question numbers (<b>Qxx</b>) serve as unique IDs for questions. In cases when the same question is used in more than one survey, the same question number is associated with that question in both surveys. Notes in curly brackets {} indicate relationships between questions that appeared in different surveys.</p> <p>The survey questions cover topics such as demographic characteristics, educational background and training, analytical and technical proficiencies, data management, experience with research collaboration and science communication, attitudes toward the open science paradigm, learning preferences, satisfaction with virtual interaction experienced during the workshop, self-assessment of progress, satisfaction with content and delivery of course curriculum, and perceptions of trade-offs (environmental, economic, diversity-related) associated with participating virtually as opposed to in person.</p> <p>Some of the questions included in these surveys were developed by Juliann E. Aukema, Stephanie E. Hampton, and Jim Regetz for evaluation of the 2013 NCEAS Summer Institute (<a href="https://www.nceas.ucsb.edu/outreach/summer-institute/2013/summer-institute-2013">https://www.nceas.ucsb.edu/outreach/summer-institute/2013/summer-institute-2013</a>).</p

xDCI - Accelerating Data Cyberinfrastructure and Research for Community Science Gateways

<p><em>This paper discusses xDCI, a Data Cyberinfrastructure environment that accelerates deployment of Science Gateways. Recognizing the growing importance of Science Gateways, xDCI builds on their elements in making it efficient for individuals and organizations to launch and sustain customizable Science Gateways</em><a><em> </em></a><em>while growing their respective communities and accelerating resultant science.</em></p