This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences.The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science.

This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences. The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science. Sample Chapter(s). Chapter 1: The Grid as a ba for Biomedical Knowledge Creation (155 KB). Contents: The Grid as a OC BaOCO for Biomedical Knowledge Creation (A Konagaya); Cyberinfrastructure for the Biological Sciences (CIBIO) (J C Wooley); Controlling the Chaos: Developing Post-Genomic Grid Infrastructures (R Sinnott & M Bayer); A Framework for Biological Analysis on the Grid (T Okumura et al.); An Architectural Design of Open Genome Services (R Umetsu et al.); Proteome Analysis Using iGAP in Gfarm (W W Li et al.); Large-Scale Simulation and Prediction of HLA-Epitope Complex Structures (A E H Png et al.); Process Integration for Bio-Manufacturing Grid (Z Q Shen et al.); and other papers. Readership: Practitioners of grid computing as applied to the life sciences, life scientists and biologists working on large computational solutions that require grid computing."

Common Core standards, OER, STEM, and collection development—where to begin? This book investigates these critical topics together to give you the power to transform your collection and practice and put your school library at the center of STEM. Curricula that focus on Science, Technology, Engineering, and Mathematics (STEM) areas of study aren't just important for furthering competency and careers in these fields; STEM helps ensure that future generations include inventive and critical thinkers. Digital resources offer a current, exciting direction to involve school librarians with their STEM teachers. With its specific focus on open digital multimedia learning resources, this book will enable school librarians to take advantage of this opportunity and evaluate, build, and maintain their STEM collections. The book comprises three sections: an overview of policy initiatives; a thorough exploration of STEM education policy, digital materials, and collection considerations; and detailed explanations of strategies for collection development and promotion. You'll learn how to perform a collection analysis to determine the age and extent of your STEM collections and make priorities for enriching them with appropriate digital multimedia resources as well as how to classify resources using Dewey and Sears and with regard to the Common Core State Standards and the Next Generation Science Standards.

In recent years the organisation and practice of collaboration in the life sciences has undergone radical transformations, owing to the advent of big science enterprises, newly developed data gathering and storage technologies, increasing levels of interdisciplinarity, and changing societal expectations for science. Collaboration in the New Life Sciences examines the causes and consequences of changing patterns of scientific collaboration in the life sciences. This book presents an understanding of how and why collaboration in the life sciences is changing and the effects of these changes on scientific knowledge, the work lives and experiences of scientists, social policy and society. Through a series of thematically arranged chapters, it considers the social, technical, and organizational facets of collaboration, addressing not only the rise of new forms of collaboration in the life sciences, but also examining recent developments in two broad research areas: ecology and environment, and the molecular life sciences. With an international team of experts presenting case studies and analyses drawn from the US, UK, Asia and Europe, Collaboration in the New Life Sciences will appeal not only to scholars and students of science and technology studies, but also to those interested in science and social policy, and the sociology of work and organisations.

Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term "data information literacy" has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the "DIL Toolkit," a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org.