63,817 research outputs found

    Developing of Institutional Repository in Public Sector University Libraries of Punjab, Pakistan

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    The target of this analysis to discover the current status of open source institutional repository software’s usage in the public sector university libraries of Punjab, Pakistan. Survey method was used by the researchers and a survey was adopted for information gathering. The target population of the investigation was library professionals of public sector universities in Punjab. Data was gathered from a sample of 135 university librarians using a convenience sampling approach. The analyses explored in which majority of library professionals have incorporated or are currently in the process of incorporating institutional repositories (IR) into their respective libraries which shows that library professionals are well aware about the importance of development/need of IR in this digital age. Further, this study revealed that most of the professionals preferred to use open source software i.e. D-Space for development of IR. Moreover, library professionals are of the view that IR software is a vital tool to organize the digital content/material. Further, IR software provides easy access to the users and enables them to provide efficient and effective services to their users. Furthermore, this study highlights that majority of participants were preferred to use those software which have the facility of customization, E-mail based sharing of books. Library professionals are satisfied with that IR software which is freely available, provide format for conversion of different digital files, and publishing digital contents. The study also highlights barriers which faced by majority of respondents i.e. selection of proper software while developing the Institutional Repository. The respondents also ranked lack of budget is another major barrier that forbade the development of IR followed by the selection of scanner technology, selection of material for digitization, institutional repository knowledge. The investigators will explore additional avenues for additional investigation through the lens of institutional repositories (IR)

    Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects

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    Exaggeration or context changes can render maintainability experience into prejudice. For example, JavaScript is often seen as least elegant language and hence of lowest maintainability. Such prejudice should not guide decisions without prior empirical validation. We formulated 10 hypotheses about maintainability based on prejudices and test them in a large set of open-source projects (6,897 GitHub repositories, 402 million lines, 5 programming languages). We operationalize maintainability with five static analysis metrics. We found that JavaScript code is not worse than other code, Java code shows higher maintainability than C# code and C code has longer methods than other code. The quality of interface documentation is better in Java code than in other code. Code developed by teams is not of higher and large code bases not of lower maintainability. Projects with high maintainability are not more popular or more often forked. Overall, most hypotheses are not supported by open-source data.Comment: 20 page

    Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub

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    Hosting over 10 million of software projects, GitHub is one of the most important data sources to study behavior of developers and software projects. However, with the increase of the size of open source datasets, the potential threats to mining these datasets have also grown. As the dataset grows, it becomes gradually unrealistic for human to confirm quality of all samples. Some studies have investigated this problem and provided solutions to avoid threats in sample selection, but some of these solutions (e.g., finding development projects) require human intervention. When the amount of data to be processed increases, these semi-automatic solutions become less useful since the effort in need for human intervention is far beyond affordable. To solve this problem, we investigated the GHTorrent dataset and proposed a method to detect public development projects. The results show that our method can effectively improve the sample selection process in two ways: (1) We provide a simple model to automatically select samples (with 0.827 precision and 0.947 recall); (2) We also offer a complex model to help researchers carefully screen samples (with 63.2% less effort than manually confirming all samples, and can achieve 0.926 precision and 0.959 recall).Comment: Accepted by the SEKE2018 Conferenc

    Repository as a service (RaaS)

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    In his oft-quoted seminal paper ‘Institutional Repositories: Essential Infrastructure For Scholarship In The Digital Age’ Clifford Lynch (2003) described the Institutional Repository as “a set of services that a university offers to the members of its community for the management and dissemination of digital materials created by the institution and its community members.” This paper seeks instead to define the repository service at a more primitive level, without the specialism of being an ‘Institutional Repository’, and looks at how it can viewed as providing a service within appropriate boundaries, and what that could mean for the future development of repositories, our expectations of what repositories should be, and how they could fit into the set of services required to deliver an Institutional Repository service as describe by Lynch.<br/

    Invest to Save: Report and Recommendations of the NSF-DELOS Working Group on Digital Archiving and Preservation

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    Digital archiving and preservation are important areas for research and development, but there is no agreed upon set of priorities or coherent plan for research in this area. Research projects in this area tend to be small and driven by particular institutional problems or concerns. As a consequence, proposed solutions from experimental projects and prototypes tend not to scale to millions of digital objects, nor do the results from disparate projects readily build on each other. It is also unclear whether it is worthwhile to seek general solutions or whether different strategies are needed for different types of digital objects and collections. The lack of coordination in both research and development means that there are some areas where researchers are reinventing the wheel while other areas are neglected. Digital archiving and preservation is an area that will benefit from an exercise in analysis, priority setting, and planning for future research. The WG aims to survey current research activities, identify gaps, and develop a white paper proposing future research directions in the area of digital preservation. Some of the potential areas for research include repository architectures and inter-operability among digital archives; automated tools for capture, ingest, and normalization of digital objects; and harmonization of preservation formats and metadata. There can also be opportunities for development of commercial products in the areas of mass storage systems, repositories and repository management systems, and data management software and tools.
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