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About a mountain
When John D'Agata helps his mother move to Las Vegas one summer, he begins to follow a story about the federal government's plan to store high-level nuclear waste at Yucca Mountain, a desert range near the city of Las Vegas. Bearing witness to the parade of scientific, cultural, and political facts that give shape to Yucca's story, D'Agata keeps the six tenets of reporting in mind--Who, What, When, Where, Why, and How--arranging his own investigation around each vital question. Yet as the contradictions inherent in Yucca's story are revealed, D'Agata's investigation turns inevitably personal. He finds himself investigating the death of a teenager who jumps off the tower of the Stratosphere Hotel, a boy whom D'Agata believes he spoke with before his suicide. Here is the work of a penetrating thinker whose startling portrait of a mountain in the desert compels a reexamination of the future of human life.--From publisher description.
Model projection relative to submetamodeling dimensions
2024
Model-based engineering (MBE) recognizes models as central in software construction with the possibility of their management in libraries and repositories with proper structuring of their spaces and operations. Due to this success, models (and metamodels) are becoming larger and larger and technics are needed in order to comprehend and exploit them, such as circumscribing sub(meta)models of interest, which is the subject of this paper. Following MBE, there are mainly two ways for circumscribing submodels: only at the model level (by selecting model elements of interest) or through the meta level (by selecting a submetamodeling dimension of interest). In a preceding paper, we deeply studied the first way. Here we concentrate on the second way. Model projection deeply relies on the concepts of submodels and submetamodels with their inclusion qualities for model space structuring and has to be systematically examined from this point of view. It is important to point out that model treatment has to deal with full models (as offered by “off the shelf” libraries) but also with not necessarily well-formed ones, such as unspecified model chunks, due, for example, to the storage in repositories of incomplete engineering choices or of intermediate results of operations. It is a difficulty to encompass all these forms of models, being well-formed or not, in a homogeneous manner through MBE operations. The operation for “Model projection relative to submetamodeling dimensions” presented here does take this difficulty into account.
Journal Article
What are developers talking about? An analysis of topics and trends in Stack Overflow
by
Hassan, Ahmed E.
,
Barua, Anton
,
Thomas, Stephen W.
in
Compilers
,
Computer Science
,
Developers
2014
Programming question and answer (Q&A) websites, such as Stack Overflow, leverage the knowledge and expertise of users to provide answers to technical questions. Over time, these websites turn into repositories of software engineering knowledge. Such knowledge repositories can be invaluable for gaining insight into the use of specific technologies and the trends of developer discussions. Previous work has focused on analyzing the user activities or the social interactions in Q&A websites. However, analyzing the actual textual content of these websites can help the software engineering community to better understand the thoughts and needs of developers. In the article, we present a methodology to analyze the textual content of Stack Overflow discussions. We use latent Dirichlet allocation (LDA), a statistical topic modeling technique, to automatically discover the main topics present in developer discussions. We analyze these discovered topics, as well as their relationships and trends over time, to gain insights into the development community. Our analysis allows us to make a number of interesting observations, including: the topics of interest to developers range widely from jobs to version control systems to C# syntax; questions in some topics lead to discussions in other topics; and the topics gaining the most popularity over time are web development (especially jQuery), mobile applications (especially Android), Git, and MySQL.
Journal Article
Ethics in the mining of software repositories
2022
Research in Mining Software Repositories (MSR) is research involving human subjects, as the repositories usually contain data about developers’ and users’ interactions with the repositories and with each other. The ethics issues raised by such research therefore need to be considered before beginning. This paper presents a discussion of ethics issues that can arise in MSR research, using the mining challenges from the years 2006 to 2021 as a case study to identify the kinds of data used. On the basis of contemporary research ethics frameworks we discuss ethics challenges that may be encountered in creating and using repositories and associated datasets. We also report some results from a small community survey of approaches to ethics in MSR research. In addition, we present four case studies illustrating typical ethics issues one encounters in projects and how ethics considerations can shape projects before they commence. Based on our experience, we present some guidelines and practices that can help in considering potential ethics issues and reducing risks.
Journal Article
Understanding differences of the OA uptake within the German University landscape (2010–2020): Part 2—repository-provided OA
by
Hobert, Anne
,
Bruns, Andre
,
Taubert, Niels
in
Agreements
,
Archives & records
,
Colleges & universities
2024
This article is the second part of the investigation of the determinants for the uptake of Open Access (OA). While the first part focusses on journal-based OA (hybrid and full OA) (Taubert et al. in Scientometrics 128(6):3601–3625, 2023), the article at hand investigates the determinants for the uptake of institutional and subject repository OA in the university landscape of Germany. Both articles consider three types of factors: the disciplinary profile of universities, their OA infrastructures and services and large transformative agreements The article also apply a conjoint methodological design: the uptake of OA as well as the determinants are measured by combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 4.0 list, and lists of publications covered by transformative agreements). For universities’ OA infrastructures and services
,
a structured data collection was created by harvesting different sources of information and by manual online search. To determine the explanatory power of the different factors, a series of regression analyses was performed for different periods and for both institutional as well as subject repository OA. Given that both articles derive from the same project, there is a thematical overlap in the methods and data section. As a result of the regression analyses, the most determining factor for the explanation of differences in the uptake of both repository OA-types turned out to be the disciplinary profile, whereas all variables that capture local infrastructural support and services for OA turned out to be non-significant. The outcome of the regression analyses is contextualised by an interview study conducted with 20 OA officers of German universities. The contextualisation provides hints that the original function of institutional repositories, offering a channel for secondary publishing is vanishing, while a new function of aggregation of metadata and full texts is becoming of increasing importance.
Journal Article
Evaluation of institutional repositories of South Asia
by
Bashir, Shazia
,
Ganaie, Shabir Ahmad
,
Gul, Sumeer
in
Academic libraries
,
Colleges & universities
,
Communication (Thought Transfer)
2020
Purpose
The purpose of this paper is to explore the status of institutional repositories (IRs) in the South Asian region. The various characteristic features of IRs are studied.
Design/methodology/approach
Open directory of open access repositories (DOAR) as a data-gathering tool was consulted for extracting the desired data.
Findings
India, Sri Lanka and Bangladesh lead other South Asian nations in terms of IRs count. Majority of the IRs are operational in nature with higher number of operational IRs from India. In terms of record count, India leads the list. “Journal articles” outscore other content type and majority of the IRs have OAI-PMH as their base URL. DSpace stays a prioritized software for content management in IRs. Majority of the IRs have not defined their content management policies. English stays a prioritized language of the content dotting the South Asian IRs and majority of the IRs not providing usage statistics. A good score of IRs has incorporated Web 2.0 tools in them with RSS as the preferred Web 2.0 tool. A good count of the IRs has not customized their interface. Majority of the IRs have interface in two languages.
Research limitations/implications
The main limitation of the study is that the findings of the research are based on the data collected through the repositories indexed by Open DOAR.
Originality/value
The study tries to explore the characteristic features of IRs from the South Asian region.
Journal Article
Status of Open Access Repositories in the Maritime Field
by
N., Vasantha Raju
,
N. S., Harinarayana
,
Chandrappa
in
Access
,
Accessibility
,
Comparative studies
2025
Maritime is a domain dealing with marine engineering, navigation, shipping and ports, ocean engineering, logistics and transportation and many other areas. Maritime domain has not been much explored in terms of its Open Access (OA) related content. Open Access Resources (OAR) have contributed immensely in making available vital information freely accessible on the web. The OpenDOAR serves as a quality-assured global directory of open access repositories, providing open access to academic research outputs and other electronic resources. This study assesses the expansion and evolution of OARs in the maritime domain, examining their key characteristics including coverage, open access policies, software and content types, annual growth trends, and contributions at the country level. The study used OpenDOAR, a global directory of open access repositories for identifying the maritime related OARs. Various key terms associated with maritime field were employed to find comprehensive list of maritime related OARs. The study found 43 OARs of different kinds related maritime. The study found that Ukraine has more maritime related OARs compared to any other countries. Institutional repositories (IR) are the most common type (81.40 %), followed by disciplinary (13.95 %) and governmental (4.65 %) related OA repositories. Open source software DSpace was the most favoured repository application among OAR developers. It is journal articles that have been featured or found most often in maritime relate OARs compared to any other content type. The studyhighlights the importance of OARs in preserving and disseminating scholarly knowledge in the maritime field and suggests the need for institutions to adopt open access policies to make research more accessible.
Journal Article
If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology
by
Wallis, Jillian C.
,
Rolando, Elizabeth
,
Borgman, Christine L.
in
Archives & records
,
Citations
,
Collaboration
2013
Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology. These are research domains in which data tend to be local in character, minimally structured, and minimally documented. We report on a ten-year study of the Center for Embedded Network Sensing (CENS), a National Science Foundation Science and Technology Center. We found that CENS researchers are willing to share their data, but few are asked to do so, and in only a few domain areas do their funders or journals require them to deposit data. Few repositories exist to accept data in CENS research areas.. Data sharing tends to occur only through interpersonal exchanges. CENS researchers obtain data from repositories, and occasionally from registries and individuals, to provide context, calibration, or other forms of background for their studies. Neither CENS researchers nor those who request access to CENS data appear to use external data for primary research questions or for replication of studies. CENS researchers are willing to share data if they receive credit and retain first rights to publish their results. Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.
Journal Article