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Open source refers to an application whose source code is made available for use or modification as users see fit. This means libraries gain more flexibility and freedom than with software purchased with license restrictions. Both the open source community and the library world live by the same rules and principles. Practical Open Source Software for Libraries explains the facts and dispels myths about open source. Chapters introduce librarians to open source and what it means for libraries. The reader is provided with links to a toolbox full of freely available open source products to use in their libraries. - Provides a toolbox of practical software that librarians can use both inside and out of the library - Draws on the author's wide-ranging practical experience with open source software both in and out of the library community - Includes real life examples from libraries and librarians of all types and locations
Open source software and applications are all around us, and it’s no different in today’s libraries. Knowing about the open source alternative to integrated library system and being able to make accurate comparisons can save a library tens to hundreds of thousands of dollars a year while more closely matching the library’s functional needs. The fact is that the foundational software in place in nearly every industry is being built with open source components. Where software applications are still proprietary or closed, those systems are themselves often built upon open source applications like open source web services, database management systems, programming languages, and operating systems. It’s the same story in the library world. Library software providers offering the latest and greatest software solution for many thousands of dollars a year are building these solutions with open source software. However, full-fledged open source applications built with the same underlying technologies are available to libraries at no cost for the software itself. Each of these applications have their own unique and interesting history and communities supporting them. For the reader unfamiliar with open source software or apprehensive about using these applications in their library, this guide: introduces the history of open source; demonstrate the global upward trend of adopting open source technologies in general and within libraries in particular; debunk various myths about implementing and using open source technologies; discusses several different types of library information systems including: Integrated Library Systems Institutional Repositories Digital Asset Management Systems Online Public Access Catalogs Resource Sharing Electronic Resource Management and lastly, shares real world experiences in getting started with open source solutions, including discussing what systems and services are available and best practices for implementation and use.
This practical guide to using open source software to build digital libraries covers the basics of key technologies and the associated tools that make them usable. Emphasis is given to matching the community with the best content possible and to the natural synergy between libraries and the open sou
The corporate market is now embracing free, "open source" software like never before, as evidenced by the recent success of the technologies underlying LAMP (Linux, Apache, MySQL, and PHP). Each is the result of a publicly collaborative process among numerous developers who volunteer their time and energy to create better software. The truth is, however, that the overwhelming majority of free software projects fail. To help you beat the odds, O'Reilly has put together Producing Open Source Software, a guide that recommends tried and true steps to help free software developers work together toward a common goal. Not just for developers who are considering starting their own free software project, this book will also help those who want to participate in the process at any level. The book tackles this very complex topic by distilling it down into easily understandable parts. Starting with the basics of project management, it details specific tools used in free software projects, including version control, IRC, bug tracking, and Wikis. Author Karl Fogel, known for his work on CVS and Subversion, offers practical advice on how to set up and use a range of tools in combination with open mailing lists and archives. He also provides several chapters on the essentials of recruiting and motivating developers, as well as how to gain much-needed publicity for your project. While managing a team of enthusiastic developers -- most of whom you've never even met -- can be challenging, it can also be fun. Producing Open Source Software takes this into account, too, as it speaks of the sheer pleasure to be had from working with a motivated team of free software developers.
The free/open source approach has grown from a minor activity to become a significant producer of robust, task-orientated software for a wide variety of situations and applications. To life science informatics groups, these systems present an appealing proposition - high quality software at a very attractive price. Open source software in life science research considers how industry and applied research groups have embraced these resources, discussing practical implementations that address real-world business problems.The book is divided into four parts. Part one looks at laboratory data management and chemical informatics, covering software such as Bioclipse, OpenTox, ImageJ and KNIME. In part two, the focus turns to genomics and bioinformatics tools, with chapters examining GenomicsTools and EBI Atlas software, as well as the practicalities of setting up an 'omics' platform and managing large volumes of data. Chapters in part three examine information and knowledge management, covering a range of topics including software for web-based collaboration, open source search and visualisation technologies for scientific business applications, and specific software such as DesignTracker and Utopia Documents. Part four looks at semantic technologies such as Semantic MediaWiki, TripleMap and Chem2Bio2RDF, before part five examines clinical analytics, and validation and regulatory compliance of free/open source software. Finally, the book concludes by looking at future perspectives and the economics and free/open source software in industry. - Discusses a broad range of applications from a variety of sectors - Provides a unique perspective on work normally performed behind closed doors - Highlights the criteria used to compare and assess different approaches to solving problems
The book wraps up with a look at the legal effects--both positive and negative--of open source/free software licensing.
Technology has revolutionized the ways in which libraries store, share, and access information, as well as librarian roles as knowledge managers. As digital resources and tools continue to advance, so too do the opportunities for libraries to become more efficient and house more information. Effective administration of libraries is a crucial part of delivering library services to patrons and ensuring that information resources are disseminated efficiently. Digital Libraries and Institutional Repositories: Breakthroughs in Research and Practice addresses new methods, practices, concepts, and techniques, as well as contemporary challenges and issues for libraries and university repositories that can be accessed electronically. It also addresses the problems of usability and search optimization in digital libraries. Highlighting a range of topics such as content management, resource sharing, and library technologies, this publication is an ideal reference source for librarians, IT technicians, academicians, researchers, and students in fields that include library science, knowledge management, and information retrieval.
A rich case-study analysis of open source software adoption by public organizations in different countries and settings. Government agencies and public organizations often consider adopting open source software (OSS) for reasons of transparency, cost, citizen access, and greater efficiency in communication and delivering services. Adopting Open Source Software offers five richly detailed real-world case studies of OSS adoption by public organizations. The authors analyze the cases and develop an overarching, conceptual framework to clarify the various enablers and inhibitors of OSS adoption in the public sector. The book provides a useful resource for policymakers, practitioners, and academics. The five cases of OSS adoption include a hospital in Ireland; an IT consortium serving all the municipalities of the province of Bozen-Bolzano, Italy; schools and public offices in the Extremadura region of Spain; the Massachusetts state government's open standards policy in the United States; and the ICT department of the Italian Chamber of Deputies. The book provides a comparative analysis of these cases around the issues of motivation, strategies, technologies, economic and social aspects, and the implications for theory and practice.
Open source software is changing the world of Information Technology. But making it work for your company is far more complicated than simply installing a copy of Linux. If you are serious about using open source to cut costs, accelerate development, and reduce vendor lock-in, you must institutionalize skills and create new ways of working. You must understand how open source is different from commercial software and what responsibilities and risks it brings. Open Source for the Enterprise is a sober guide to putting open source to work in the modern IT department. Open source software is software whose code is freely available to anyone who wants to change and redistribute it. New commercial support services, smaller licensing fees, increased collaboration, and a friendlier platform to sell products and services are just a few of the reasons open source is so attractive to IT departments. Some of the open source projects that are in current, widespread use in businesses large and small include Linux, FreeBSD, Apache, MySQL, PostgreSQL, JBOSS, and Perl. These have been used to such great effect by Google, Amazon, Yahoo!, and major commercial and financial firms, that a wave of publicity has resulted in recent years, bordering on hype. Large vendors such as IBM, Novell, and Hewlett Packard have made open source a lynchpin of their offerings. Open source has entered a new area where it is being used as a marketing device, a collaborative software development methodology, and a business model. This book provides something far more valuable than either the cheerleading or the fear-mongering one hears about open source. The authors are Dan Woods, former CTO of TheStreet.com and a consultant and author of several books about IT, and Gautam Guliani, Director of Software Architecture at Kaplan Test Prep & Admissions. Each has used open source software for some 15 years at IT departments large and small. They have collected the wisdom of a host of experts from IT departments, open source communities, and software companies. Open Source for the Enterprise provides a top to bottom view not only of the technology, but of the skills required to manage it and the organizational issues that must be addressed. Here are the sorts of questions answered in the book: Why is there a "productization gap" in most open source projects? How can the maturity of open source be evaluated? How can the ROI of open source be calculated? What skills are needed to use open source? What sorts of open source projects are appropriate for IT departments at the beginner, intermediate, advanced, and expert levels? What questions need to be answered by an open source strategy? What policies for governance can be instituted to control the adoption of open source? What new commercial services can help manage the risks of open source? Do differences in open source licenses matter? How will using open source transform an IT department? Praise for Open Source for the Enterprise:"Open Source has become a strategic business issue; decisions on how andwhere to choose to use Open Source now have a major impact on theoverall direction of IT abilities to support the business both withcapabilities and by controlling costs. This is a new game and onegenerally not covered in existing books on Open Source which continue toassume that the readers are 'deep dive' technologists, Open Source for the Enterprise provides everyone from business managers to technologistswith the balanced view that has been missing. Well worth the time toread, and also worth encouraging others in your enterprise to read as well." ----Andy Mulholland - Global CTO Capgemini "Open Source for the Enterprise is required reading for anyone workingwith or looking to adopt open source technologies in a corporateenvironment. Its practical, no-BS approach will make sure you're armedwith the information you need to deploy applications successfully (aswell as helping you know when to say "no"). If you're trying to sell opensource to management, this book will give you the ammunition you need.If you're a manager trying to drive down cost using open source, thisbook will tell you what questions to ask your staff. In short, it's aclear, concise explanation of how to successfully leverage open sourcewithout making the big mistakes that can get you fired." ----Kevin Bedell - founding editor of LinuxWorld Magazine
With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.