E-learning Aspects of NODES Project

The NODES project aims at promoting the use, in adult training/lifelong learning, of multimedia knowledge, in order to facilitate competitiveness, employability and mobility of adults who are victims of the digital divide or of some of its components, such as distance, initial level of knowledge, language, and use of complex technologies. Our task in the project is studying the existing free or commercial licenses e-learning software. The aim of the investigation of these systems is surveying the most important functional features, modules, standards, and hardware and software requirements. After the comparison of the e-Learning systems by several methods, have to evaluate the most important parameters, which are suitable suggestion for the project management. These parameters were evaluated. Reviewing these parameters, our suggestion is the Moodle or the aTutor

The Center for the Public Domain: A Short-Lived Venture Philanthropy

Case study examines a foundation that was conceived as a "venture philanthropy" that would spend down its assets over a relatively brief time in support of its mission to redefine the open source technology movement as a philosophy and apply it to sectors outside of technology

Open Educational Content for Digital Public Libraries

If the production of digital content for teaching -- particularly free content -- is to expand substantially, there must be mechanisms to establish a link to fame and fortune that was not perceived in a pre-digital world. How that might be done is the central question this report addresses, in the context of examining the movement for open educational content. Understanding that movement requires delving into the history of what may seem, on first pass, a totally unrelated field of endeavor. The reader's patience is requested....

Open Source Projects as Incubators of Innovation: From Niche Phenomenon to Integral Part of the Software Industry

Over the last 20 years, open source development has become an integral part of the software industry and a key component of the innovation strategies of all major IT providers. Against this backdrop, this paper seeks to develop a systematic overview of open source communities and their socio-economic contexts. I begin with a reconstruction of the genesis of open source software projects and their changing relation- ships to established IT companies. This is followed by the identification of four ideal-typical variants of current open source projects that differ significantly in their modes of coordination and the degree of corporate involvement. Further, I examine why open source projects have mainly lost their subversive potential while, in contrast to former cases of collective invention, remaining viable beyond the emergence of predominant solutions and their commercial exploitation: In an industry that is characterized by very short innovation cycles, open source projects have proven to be important incubators for new product lines and branch-defining infrastructures. They do not compete against classical forms of production but instead complement and expand these.In den letzten 20 Jahren ist die Open-Source-Entwicklung zu einem integralen Bestand der Softwareindustrie und zu einem zentralen Baustein der Innovationsstrategien aller großen IT-Anbieter geworden. Vor diesem Hintergrund entfaltet dieses Papier einen systematisierenden Überblick über Open-Source-Communities und ihre sozioökonomischen Kontexte. Nach einer historischen Rekonstruktion zur Ausdifferenzierung quelloffener Softwareprojekte und ihren sich wandelnden Relationen zu etablierten Unternehmen werden vier Varianten derzeitiger Open-Source-Projekte voneinander abgegrenzt, die sich in ihren Koordinationsweisen und dem Grad ihrer Unternehmensnähe signifikant voneinander unterscheiden. Daran anknüpfend wird herausgearbeitet, aus welchen Gründen Open-Source-Projekte inzwischen ihre subversive Formatierung weitgehend verloren haben, aber im Gegensatz zu früheren Ausprägungen kollektiver Invention überlebensfähig geblieben sind: In einer durch sehr kurze Innovationszyklen geprägten Softwareindustrie haben sich quelloffene Entwicklungsvorhaben als zentrale Inkubatoren für neue Produktlinien und branchenfundamentale Infrastrukturen erwiesen. Projektförmige Arbeitsweisen in Open-Source-Gemeinschaften und eingespielte Formen ökonomischer Koordination stehen nicht in einem konkurrierenden, sondern in einem komplementären Verhältnis zueinander

Free/Libre/Open Source Software (Floss): Lessons for Intellectual Property Rights Management in a Knowledge-Based Economy

International audienceThe aim of this paper is to focus on the emerging situation in which open source software is nowadays produced not only by individual developers but in a growing proportion by firms that hire programmers for their own objectives of development in open source or for contributing to open source projects in the context of dedicated communities. As commercial firms it is important to analyze how and why they are capable of drawing benefits from such involvement and their connected activities. Moreover, we want to stress the different types of business model these firms rely on and the possible evolution they are likely to follow in the near future. We shown how Open Source principles provide an alternative way of thinking and managing intellectual property that do not come up against the same problems but needs a radical change in the way of drawing commercial benefits from knowledge development tasks. Then we analyze the growing involvement of commercial actors by setting up a typology of the different business models that can be observed in the OS landscape, how they correspond to the different strategies of industrial firms according to the main characteristics of their technical skills and market position. Finally, in a conclusive section we will draw the main lessons of the FLOSS experience for a possible enlargement of those principles of IPR management and business to other knowledge based commercial activities

Slouching Toward Open Innovation: Free and Open Source Software for Electronic Health Information

This Article argues that some software markets are more favorable for open source approaches than others. Using a case study of one particular software market, this Article develops a tentative framework of factors characterizing markets likely to disfavor contemporary approaches in free and open source software

The Analysis of Open Source Software and Data for Establishment of GIS Services Throughout the Network in a Mapping Organization at National or International Level

Federal agencies and their partners collect and manage large amounts of geospatial data but it is often not easily found when needed, and sometimes data is collected or purchased multiple times. In short, the best government data is not always organized and managed efficiently to support decision making in a timely and cost effective manner. National mapping agencies, various Departments responsible for collection of different types of Geospatial data and their authorities cannot, for very long, continue to operate, as they did a few years ago like people living in an island. Leaders need to look at what is now possible that was not possible before, considering capabilities such as cloud computing, crowd sourced data collection, available Open source remotely sensed data and multi source information vital in decision-making as well as new Web-accessible services that provide, sometimes at no cost. Many of these services previously could be obtained only from local GIS experts. These authorities need to consider the available solution and gather information about new capabilities, reconsider agency missions and goals, review and revise policies, make budget and human resource for decisions, and evaluate new products, cloud services, and cloud service providers. To do so, we need, choosing the right tools to rich the above-mentioned goals. As we know, Data collection is the most cost effective part of the mapping and establishment of a Geographic Information system. However, it is not only because of the cost for the data collection task but also because of the damages caused by the delay and the time that takes to provide the user with proper information necessary for making decision from the field up to the user’s hand. In fact, the time consumption of a project for data collection, processing, and presentation of geospatial information has more effect on the cost of a bigger project such as disaster management, construction, city planning, environment, etc. Of course, with such a pre-assumption that we provide all the necessary information from the existing sources directed to user’s computer. The best description for a good GIS project optimization or improvement is finding a methodology to reduce the time and cost, and increase data and service quality (meaning; Accuracy, updateness, completeness, consistency, suitability, information content, integrity, integration capability, and fitness for use as well as user’s specific needs and conditions that must be addressed with a special attention). Every one of the above-mentioned issues must be addressed individually and at the same time, the whole solution must be provided in a global manner considering all the criteria. In this thesis at first, we will discuss about the problem we are facing and what is needed to be done as establishment of National Spatial Data Infra-Structure (NSDI), the definition and related components. Then after, we will be looking for available Open Source Software solutions to cover the whole process to manage; Data collection, Data base management system, data processing and finally data services and presentation. The first distinction among Software is whether they are, Open source and free or commercial and proprietary. It is important to note that in order to make distinction among softwares it is necessary to define a clear specification for this categorization. It is somehow very difficult to distinguish what software belongs to which class from legal point of view and therefore, makes it necessary to clarify what is meant by various terms. With reference to this concept there are 2 global distinctions then, inside each group, we distinguish another classification regarding their functionalities and applications they are made for in GIScience. According to the outcome of the second chapter, which is the technical process for selection of suitable and reliable software according to the characteristics of the users need and required components, we will come to next chapter. In chapter 3, we elaborate in to the details of the GeoNode software as our best candidate tools to take responsibilities of those issues stated before. In Chapter 4, we will discuss the existing Open Source Data globally available with the predefined data quality criteria (Such as theme, data content, scale, licensing, and coverage) according to the metadata statement inside the datasets by mean of bibliographic review, technical documentation and web search engines. We will discuss in chapter 5 further data quality concepts and consequently define sets of protocol for evaluation of all datasets according to the tasks that a mapping organization in general, needed to be responsible to the probable users in different disciplines such as; Reconnaissance, City Planning, Topographic mapping, Transportation, Environment control, disaster management and etc… In Chapter 6, all the data quality assessment and protocols will be implemented into the pre-filtered, proposed datasets. In the final scores and ranking result, each datasets will have a value corresponding to their quality according to the sets of rules that are defined in previous chapter. In last steps, there will be a vector of weight that is derived from the questions that has to be answered by user with reference to the project in hand in order to finalize the most appropriate selection of Free and Open Source Data. This Data quality preference has to be defined by identifying a set of weight vector, and then they have to be applied to the quality matrix in order to get a final quality scores and ranking. At the end of this chapter there will be a section presenting data sets utilization in various projects such as “ Early Impact Analysis” as well as “Extreme Rainfall Detection System (ERDS)- version 2” performed by ITHACA. Finally, in conclusion, the important criteria, as well as future trend in GIS software are discussed and at the end recommendations will be presented