Key Success Factors for the Project of Migrating to the Open Office Suite

The penetration and performance of free software is raising issues regarding its true capacities and, particularly, the desirability of choosing it. It is from this perspective that the Linux Migration Project was launched within the Sous-secrétariat à l’inforoute gouvernementale et aux resources informationnelles (SSIGRI). Its accompaniment by a team of researchers from CIRANO is intended to assess the risks and identify the conditions for success. The purpose of this report is to identify and assess the key success factors of this project. Principal results An analysis of the project’s characteristics has enabled its specific features to be identified and the analytical tool to be adapted. From this approach, analysis of the key success factors has revealed that the pilot project substantially contributes to the reflection about migrating to free software. It demonstrates that, despite medium to high risk exposure, such a migration can be controlled. This is supported by considerable managerial ability and the reliability of the technology. Finally, it draws attention to a major problem that arises in a migration context: the absence of a shared interoperability framework, as is seen in two out of three parameters. The assessment grid of the project’s key success factors (Table 1, p. 6) allows the following to be ascertained: The importance of the Risk Assessment and Monitoring factor during the software implementation process. Its estimated value of 3.7, in particular due to the absence of a common interoperability framework and the impossibility of remedying it within the context of the project, lowers the average of the Processes success factor, which is 4.8/7. Managerial skills are high (6.2/7), and the values found for this factor’s components are generally comparable. Technology is assessed at 5.5/7; this parameter covers a contrasted reality: The technology’s intrinsic characteristics (independence with regard to software and publishers, cost controls, data continuity), assessed at 6.6/7, raise this ratio. The technology’s performance, assessed at 4.5/7, lowers this ratio. It implicates both the intrinsically high quality of the software tested, and problems due to the context of the pilot project—characterized, as it was, by the absence of a migration plan (choice of services/people to migrate) and to the absence of a common interoperability framework.

Risk Assessment of the Project to Migrate to the Free Office Suite Under Linux "End-User" Group

The penetration and performance of free software is raising issues regarding its true capacities and, particularly, the desirability of choosing it. It is from this perspective that the Linux Migration Project was launched within the Sous-secrétariat à l’inforoute gouvernementale et aux resources informationnelles (SSIGRI). The project, supported by a CIRANO research team, seeks to assess the risks involved in the migration project and to identify the conditions for success. This report describes an assessment of the risk exposure of one of the groups participating in the project: end users. Principal results The risk assessment that was conducted enabled the following observations to be made: The project risk exposure is medium to high. Three objectives, and more particularly the first, are vulnerable to a relatively high level of risk: Operational continuity for the user, Interactional continuity for users, and Technical support. Two risk factors were undervalued in this project because of the very nature of the project: Mismatch between the functionalities of the free office suite/functionalities targeted by the organization; Degree of interdependence with non-project units/persons. This factor is important as a result of the context in which the project is being carried out, particularly the absence of a shared interoperability framework. A review of these risk factors could result in a new positioning on the risk exposure map for four of the five objectives, in particular for the two objectives that are related to the two undervalued factors.

Multiplierz: An Extensible API Based Desktop Environment for Proteomics Data Analysis

BACKGROUND. Efficient analysis of results from mass spectrometry-based proteomics experiments requires access to disparate data types, including native mass spectrometry files, output from algorithms that assign peptide sequence to MS/MS spectra, and annotation for proteins and pathways from various database sources. Moreover, proteomics technologies and experimental methods are not yet standardized; hence a high degree of flexibility is necessary for efficient support of high- and low-throughput data analytic tasks. Development of a desktop environment that is sufficiently robust for deployment in data analytic pipelines, and simultaneously supports customization for programmers and non-programmers alike, has proven to be a significant challenge. RESULTS. We describe multiplierz, a flexible and open-source desktop environment for comprehensive proteomics data analysis. We use this framework to expose a prototype version of our recently proposed common API (mzAPI) designed for direct access to proprietary mass spectrometry files. In addition to routine data analytic tasks, multiplierz supports generation of information rich, portable spreadsheet-based reports. Moreover, multiplierz is designed around a "zero infrastructure" philosophy, meaning that it can be deployed by end users with little or no system administration support. Finally, access to multiplierz functionality is provided via high-level Python scripts, resulting in a fully extensible data analytic environment for rapid development of custom algorithms and deployment of high-throughput data pipelines. CONCLUSION. Collectively, mzAPI and multiplierz facilitate a wide range of data analysis tasks, spanning technology development to biological annotation, for mass spectrometry-based proteomics research.Dana-Farber Cancer Institute; National Human Genome Research Institute (P50HG004233); National Science Foundation Integrative Graduate Education and Research Traineeship grant (DGE-0654108

Debian Packages Repositories as Software Product Line Models. Towards Automated Analysis

The automated analysis of variability models in general and feature models in particular is a thriving research topic. There have been numerous contributions along the last twenty years in this area including both, research papers and tools. However, the lack of realistic variability models to evaluate those techniques and tools is recognized as a major problem by the community. To address this issue, we looked for large– scale variability models in the open source community. We found that the Debian package dependency language can be interpreted as software product line variability model. Moreover, we found that those models can be automatically analysed in a software product line variability model-like style. In this paper, we take a first step towards the automated analysis of Debian package dependency language. We provide a mapping from these models to propositional formulas. We also show how this could allow us to perform analysis operations on the repositories like the detection of anomalies (e.g. packages that cannot be installed).CICYT TIN2009- 07366Junta de Andalucía TIC-253

Getting From ”Know-What” To ”Know-How” Via Online Communities: A Conversational Analysis Of An Openoffice.Org Language Project

Information systems (IS) innovation researchers explain that in the early phases of IS innovation, organizations must acquire knowledge about, “what, “when”, “why” and “how” to innovate with information technologies (IT). To acquire this knowledge, innovators with IT may access business and technology publications or the more costly option of consulting services. However, widespread use of online communities has created a more cost effective way of learning about IT innovations and is now being used by organizations. Using online communities, organizations can circumvent logistical constraints to take advantage of networks of human capital. In this study we analysed collaborations in the online community OpenOffice.org. The study showed that successful knowledge sharing in online communities where interaction is temporal and focused requires context specific knowledge gaps. The analysis revealed patterns in the communication that exposed a taken-for-granted knowledge sharing mechanism we conceptualise as “gap-filling”. Within this mechanism “what I know” and “what I don’t know” statements provided a mechanism for identify context based knowledge gaps that enable participants to go from “know-what” to “know-how”

Preservation of Word-Processing Documents

Word processing documents are a major problem for digital repositories. As I will explain below, they are not suitable for long-term storage, so they need to be converted into an archival format for preservation. In this report I will address the following questions: • What file formats are suitable for long-term storage of word processed text documents?; and • How can we convert documents into a suitable archival format? I also address the related non-technical question: • How can we get authors to convert and deposit their work? While the vast majority of material generated by universities is text, most research on digital preservation concentrates on images, sound recordings, video and multimedia. You could be forgiven for thinking that this is because text is simple, but unfortunately that’s not so. Even relatively short text documents (like this one) have complex structure consisting of sections (parts, chapters, subsections etc) and also of indented structures like lists and blockquotes. A significant part of the meaning is lost if that structure is ignored (for example by saving as plain text)

Preservation of word processing documents

Australian Partnership for Sustainable Repositorie