16,640 research outputs found

    Software Reuse in Agile Development Organizations - A Conceptual Management Tool

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    The reuse of knowledge is considered a major factor for increasing productivity and quality. In the software industry knowledge is embodied in software assets such as code components, functional designs and test cases. This kind of knowledge reuse is also referred to as software reuse. Although the benefits can be substantial, software reuse has never reached its full potential. Organizations are not aware of the different levels of reuse or do not know how to address reuse issues. This paper proposes a conceptual management tool for supporting software reuse. Furthermore the paper presents the findings of the application of the management tool in an agile development organization

    Crossing the death valley to transfer environmental decision support systems to the water market

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    Environmental decision support systems (EDSSs) are attractive tools to cope with the complexity of environmental global challenges. Several thoughtful reviews have analyzed EDSSs to identify the key challenges and best practices for their development. One of the major criticisms is that a wide and generalized use of deployed EDSSs has not been observed. The paper briefly describes and compares four case studies of EDSSs applied to the water domain, where the key aspects involved in the initial conception and the use and transfer evolution that determine the final success or failure of these tools (i.e., market uptake) are identified. Those aspects that contribute to bridging the gap between the EDSS science and the EDSS market are highlighted in the manuscript. Experience suggests that the construction of a successful EDSS should focus significant efforts on crossing the death-valley toward a general use implementation by society (the market) rather than on development.The authors would like to thank the Catalan Water Agency (AgĂšncia Catalana de l’Aigua), BesĂČs River Basin Regional Administration (Consorci per la Defensa de la Conca del Riu BesĂČs), SISLtech, and Spanish Ministry of Science and Innovation for providing funding (CTM2012-38314-C02-01 and CTM2015-66892-R). LEQUIA, KEMLG, and ICRA were recognized as consolidated research groups by the Catalan Government under the codes 2014-SGR-1168, 2013-SGR-1304 and 2014-SGR-291.Peer ReviewedPostprint (published version

    Enhancing reuse of data and biological material in medical research : from FAIR to FAIR-Health

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    The known challenge of underutilization of data and biological material from biorepositories as potential resources formedical research has been the focus of discussion for over a decade. Recently developed guidelines for improved data availability and reusability—entitled FAIR Principles (Findability, Accessibility, Interoperability, and Reusability)—are likely to address only parts of the problem. In this article,we argue that biologicalmaterial and data should be viewed as a unified resource. This approach would facilitate access to complete provenance information, which is a prerequisite for reproducibility and meaningful integration of the data. A unified view also allows for optimization of long-term storage strategies, as demonstrated in the case of biobanks.Wepropose an extension of the FAIR Principles to include the following additional components: (1) quality aspects related to research reproducibility and meaningful reuse of the data, (2) incentives to stimulate effective enrichment of data sets and biological material collections and its reuse on all levels, and (3) privacy-respecting approaches for working with the human material and data. These FAIR-Health principles should then be applied to both the biological material and data. We also propose the development of common guidelines for cloud architectures, due to the unprecedented growth of volume and breadth of medical data generation, as well as the associated need to process the data efficiently.peer-reviewe

    Output-based Aid for Sustainable Sanitation

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    A review of the experience to date in applying output-based and other results-oriented financing aid formats to the delivery of sanitation services and goods in developing countries. The paper looks at the theoretical underpinnings which justify output-based subsidies in sanitation, reviews a selection of output-based aid projects and then proposes some new approaches which could help to make financing in sanitation more effective and accountable

    Managing Technology and Administration Innovations: Four Case Studies on Software Reuse

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    A software process innovation, such as software reuse, involves both technology and administration innovation. Following literature on organizational change, absorptive capacity, innovation assimilation stages, and software reuse, we develop a process model of the assimilation trajectory of an organization¥¯s innovation. The model postulates that actors at different organizational levels implement strategy, process, and culture changes in order for an organization to advance through the stages of innovation assimilation. The actions at these levels instill routines that establish the absorptive capacity for implementing future innovations. Case-study data collected from four software development sites šC two reporting failure in the reuse program, and two reporting success šC revealed that programs that implemented change at the strategy, process and culture levels scored higher on all paths in the model than non-successful programs. The right incentives help in the latter stages of innovation assimilation during which culture change by operational staff is important

    The Knowledge Application and Utilization Framework Applied to Defense COTS: A Research Synthesis for Outsourced Innovation

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    Purpose -- Militaries of developing nations face increasing budget pressures, high operations tempo, a blitzing pace of technology, and adversaries that often meet or beat government capabilities using commercial off-the-shelf (COTS) technologies. The adoption of COTS products into defense acquisitions has been offered to help meet these challenges by essentially outsourcing new product development and innovation. This research summarizes extant research to develop a framework for managing the innovative and knowledge flows. Design/Methodology/Approach – A literature review of 62 sources was conducted with the objectives of identifying antecedents (barriers and facilitators) and consequences of COTS adoption. Findings – The DoD COTS literature predominantly consists of industry case studies, and there’s a strong need for further academically rigorous study. Extant rigorous research implicates the importance of the role of knowledge management to government innovative thinking that relies heavily on commercial suppliers. Research Limitations/Implications – Extant academically rigorous studies tend to depend on measures derived from work in information systems research, relying on user satisfaction as the outcome. Our findings indicate that user satisfaction has no relationship to COTS success; technically complex governmental purchases may be too distant from users or may have socio-economic goals that supersede user satisfaction. The knowledge acquisition and utilization framework worked well to explain the innovative process in COTS. Practical Implications – Where past research in the commercial context found technological knowledge to outweigh market knowledge in terms of importance, our research found the opposite. Managers either in government or marketing to government should be aware of the importance of market knowledge for defense COTS innovation, especially for commercial companies that work as system integrators. Originality/Value – From the literature emerged a framework of COTS product usage and a scale to measure COTS product appropriateness that should help to guide COTS product adoption decisions and to help manage COTS product implementations ex post

    e-Science and the Web

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    Interactive tools for reproducible science

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    Reproducibility should be a cornerstone of science. It plays an essential role in research validation and reuse. In recent years, the scientific community and the general public became increasingly aware of the reproducibility crisis, i.e. the wide-spread inability of researchers to reproduce published work, including their own. The reproducibility crisis has been identified in most branches of data-driven science. The effort required to document, clean, preserve, and share experimental resources has been described as one of the core contributors to this irreproducibility challenge. Documentation, preservation, and sharing are key reproducible research practices that are of little perceived value for scientists, as they fall outside the traditional academic reputation economy that is focused on novelty-driven scientific contributions. Scientific research is increasingly focused on the creation, observation, processing, and analysis of large data volumes. On one hand, this transition towards computational and data-intensive science poses new challenges for research reproducibility and reuse. On the other hand, increased availability and advances in computation and web technologies offer new opportunities to address the reproducibility crisis. A prominent example is the World Wide Web (WWW), which was developed in response to researchers’ needs to quickly share research data and findings with the scientific community. The WWW was invented at the European Organization for Nuclear Research (CERN). CERN is a key laboratory in High Energy Physics (HEP), one of the most data-intensive scientific domains. This thesis reports on research connected in the context of CAP, a Research Data Management (RDM) service tailored to CERN's major experiments. We use this scientific environment to study the role and requirements of interactive tools in facilitating reproducible research. In this thesis, we build a wider understanding of researchers' interactions with tools that support research documentation, preservation, and sharing. From an HCI perspective the following aspects are fundamental: (1) Characterize and map requirements and practices around research preservation and reuse. (2) Understand the wider role and impact of RDM tools in scientific workflows. (3) Design tools and interactions that promote, motivate, and acknowledge reproducible research practices. Research reported in this thesis represents the first systematic application of HCI methods in the study and design of interactive tools for reproducible science. We have built an empirical understanding of reproducible research practices and the role of supportive tools through research in HEP and across a variety of scientific fields. We designed prototypes and implemented services that aim to create rewarding and motivating interactions. We conducted mixed-method evaluations to assess the UX of the designs, in particular related to usefulness, suitability, and persuasiveness. We report on four empirical studies in which 42 researchers and data managers participated. In the first interview study, we asked HEP data analysts about RDM practices and invited them to explore and discuss CAP. Our findings show that tailored preservation services allow for introducing and promoting meaningful rewards and incentives that benefit contributors in their research work. Here, we introduce the term secondary usage forms of RDM tools. While not part of the core mission of the tools, secondary usage forms motivate contributions through meaningful rewards. We extended this research through a cross-domain interview study with data analysts and data stewards from a diverse set of scientific fields. Based on the findings of this cross-domain study, we contribute a Stage-Based Model of Personal RDM Commitment Evolution that explains how and why scientists commit to open and reproducible science. To address the motivation challenge, we explored if and how gamification can motivate contributions and promote reproducible research practices. To this end, we designed two prototypes of a gamified preservation service that was inspired by CAP. Each gamification prototype makes use of different underlying mechanisms. HEP researchers found both implementations valuable, enjoyable, suitable, and persuasive. The gamification layer improves visibility of scientists and research work and facilitates content navigation and discovery. Based on these findings, we implemented six tailored science badges in CAP in our second gamification study. The badges promote and reward high-quality documentation and special uses of preserved research. Findings from our evaluation with HEP researchers show that tailored science badges enable novel forms of research repository navigation and content discovery that benefit users and contributors. We discuss how the use of tailored science badges as an incentivizing element paves new ways for interaction with research repositories. Finally, we describe the role of HCI in supporting reproducible research practices. We stress that tailored RDM tools can improve content navigation and discovery, which is key in the design of secondary usage forms. Moreover, we argue that incentivizing elements like gamification may not only motivate contributions, but further promote secondary uses and enable new forms of interaction with preserved research. Based on our empirical research, we describe the roles of both HCI scholars and practitioners in building interactive tools for reproducible science. Finally, we outline our vision to transform computational and data-driven research preservation through ubiquitous preservation strategies that integrate into research workflows and make use of automated knowledge recording. In conclusion, this thesis advocates the unique role of HCI in supporting, motivating, and transforming reproducible research practices through the design of tools that enable effective RDM. We present practices around research preservation and reuse in HEP and beyond. Our research paves new ways for interaction with RDM tools that support and motivate reproducible science.Reproduzierbarkeit sollte ein wissenschaftlicher Grundpfeiler sein, da sie einen essenziellen Bestandteil in der Validierung und Nachnutzung von Forschungsarbeiten darstellt. VerfĂŒgbarkeit und VollstĂ€ndigkeit von Forschungsmaterialien sind wichtige Voraussetzungen fĂŒr die Interaktion mit experimentellen Arbeiten. Diese Voraussetzungen sind jedoch oft nicht gegeben. Zuletzt zeigten sich die Wissenschaftsgemeinde und die Öffentlichkeit besorgt ĂŒber die Reproduzierbarkeitskrise in der empirischen Forschung. Diese Krise bezieht sich auf die Feststellung, dass Forscher oftmals nicht in der Lage sind, veröffentlichte Forschungsergebnisse zu validieren oder nachzunutzen. TatsĂ€chlich wurde die Reproduzierbarkeitskrise in den meisten Wissenschaftsfeldern beschrieben. Eine der Hauptursachen liegt in dem Aufwand, der benötigt wird, um Forschungsmaterialien zu dokumentieren, vorzubereiten und zu teilen. Wissenschaftler empfinden diese Forschungspraktiken oftmals als unattraktiv, da sie außerhalb der traditionellen wissenschaftlichen Belohnungsstruktur liegen. Diese ist zumeist ausgelegt auf das Veröffentlichen neuer Forschungsergebnisse. Wissenschaftliche Forschung basiert zunehmend auf der Verarbeitung und Analyse großer DatensĂ€tze. Dieser Übergang zur rechnergestĂŒtzten und daten-intensiven Forschung stellt neue Herausforderungen an Reproduzierbarkeit und Forschungsnachnutzung. Die weite Verbreitung des Internets bietet jedoch ebenso neue Möglichkeiten, Reproduzierbarkeit in der Forschung zu ermöglichen. Die Entwicklung des World Wide Web (WWW) stellt hierfĂŒr ein sehr gutes Beispiel dar. Das WWW wurde in der EuropĂ€ischen Organisation fĂŒr Kernforschung (CERN) entwickelt, um Forschern den weltweiten Austausch von Daten zu ermöglichen. CERN ist eine der wichtigsten Großforschungseinrichtungen in der Teilchenphysik, welche zu den daten-intensivsten Forschungsbereichen gehört. In dieser Arbeit berichten wir ĂŒber unsere Forschung, die sich auf CERN Analysis Preservation (CAP) fokussiert. CAP ist ein Forschungsdatenmanagement-Service (FDM-Service), zugeschnitten auf die grĂ¶ĂŸten Experimente von CERN. In dieser Arbeit entwickeln und kommunizieren wir ein erweitertes VerstĂ€ndnis der Interaktion von Forschern mit FDM-Infrastruktur. Aus Sicht der Mensch-Computer-Interaktion (MCI) sind folgende Aspekte fundamental: (1) Das Bestimmen von Voraussetzungen und Praktiken rund um FDM und Nachnutzung. (2) Das Entwickeln von VerstĂ€ndnis fĂŒr die Rolle und Auswirkungen von FDM-Systemen in der wissenschaftlichen Arbeit. (3) Das Entwerfen von Systemen, die Praktiken unterstĂŒtzen, motivieren und anerkennen, welche die Reproduzierbarkeit von Forschung vorantreiben. Die Forschung, die wir in dieser Arbeit beschreiben, stellt die erste systematische Anwendung von MCI-Methoden in der Entwicklung von FDM-Systemen fĂŒr Forschungsreproduzierbarkeit dar. Wir entwickeln ein empirisches VerstĂ€ndnis von Forschungspraktiken und der Rolle von unterstĂŒtzenden Systemen durch ĂŒberwiegend qualitative Forschung in Teilchenphysik und darĂŒber hinaus. Des Weiteren entwerfen und implementieren wir Prototypen und Systeme mit dem Ziel, Wissenschaftler fĂŒr FDM zu motivieren und zu belohnen. Wir verfolgten einen Mixed-Method-Ansatz in der Evaluierung der Nutzererfahrung bezĂŒglich unserer Prototypen und Implementierungen. Wir berichten von vier empirischen Studien, in denen insgesamt 42 Forscher und Forschungsdaten-Manager teilgenommen haben. In unserer ersten Interview-Studie haben wir Teilchenphysiker ĂŒber FDM-Praktiken befragt und sie eingeladen, CAP zu nutzen und ĂŒber den Service zu diskutieren. Unsere Ergebnisse zeigen, dass die mensch-zentrierte Studie von speziell angepassten FDM-Systemen eine besondere Blickweise auf das Entwerfen von Anreizen und bedeutungsvollen Belohnungen ermöglicht. Wir fĂŒhren den Begriff secondary usage forms (Zweitnutzungsformen) in Bezug auf FDM-Infrastruktur ein. Hierbei handelt es sich um Nutzungsformen, die Forschern sinnvolle Anreize bieten, ihre Arbeiten zu dokumentieren und zu teilen. Basierend auf unseren Ergebnissen in der Teilchenphysik haben wir unseren Forschungsansatz daraufhin auf Wissenschaftler und Forschungsdatenmanager aus einer Vielzahl verschiedener und diverser Wissenschaftsfelder erweitert. In Bezug auf die Ergebnisse dieser Studie beschreiben wir ein zustandsbasiertes Modell ĂŒber die Entwicklung individueller Selbstverpflichtung zu FDM. Wir erwarten, dass dieses Modell designorientierte Denk- und MethodenansĂ€tze in der kĂŒnftigen Implementierung und Evaluation von FDM-Infrastruktur beeinflussen wird. Des Weiteren haben wir einen Forschungsansatz zu Spielifizierung (Gamification) verfolgt, in dem wir untersucht haben, ob und wie Spielelemente FDM-Praktiken motivieren können. ZunĂ€chst haben wir zwei Prototypen eines spielifizierten FDM-Tools entwickelt, welche sich an CAP orientieren. Obwohl die beiden Prototypen auf sehr unterschiedlichen Entwurfskonzepten beruhen, fanden Teilchenphysiker beide angemessen und motivierend. Die Studienteilnehmer diskutierten insbesondere verbesserte Sichtbarkeit individueller Forscher und wissenschaftlicher Arbeiten. Basierend auf den Ergebnissen dieser ersten Studie zu Spielifizierung in FDM haben wir im nĂ€chsten Schritt sechs speziell zugeschnittene Forschungs-Abzeichen (tailored science badges) in CAP implementiert. Die Abzeichen bewerben das ausfĂŒhrliche Dokumentieren sowie besondere Nutzen der auf dem Service zugĂ€nglichen Forschungsarbeiten. Die Ergebnisse unserer Evaluierung mit Teilchenphysikern zeigen, dass die speziell zugeschnittenen Forschungs-Abzeichen neue und effektivere Möglichkeiten bieten, Forschungsmaterialien systematisch zu durchsuchen und zu entdecken. Hierdurch profitieren sowohl Nutzer als auch Forschungsdaten-Beisteuernde. Basierend auf den Ergebnissen diskutieren wir, wie die Forschungs-Abzeichen neue Formen der Interaktion mit großen Forschungsrepositorien ermöglichen. Zum Schluss heben wir die besondere Rolle von MCI in der Entwicklung unterstĂŒtzender FDM-Infrastruktur hervor. Wir betonen, dass speziell an Forschungspraktiken angepasste Systeme neue AnsĂ€tze in der Interaktion mit wissenschaftlichen Arbeiten ermöglichen. Wir beschreiben zwei Modelle und unsere Erwartung, wie MCI die Entwicklung kĂŒnftiger FDM-Systeme nachhaltig beeinflussen kann. In diesem Zusammenhang prĂ€sentieren wir auch unsere Vision zu ubiquitĂ€ren Strategien, die zum Ziel hat, Forschungsprozesse und Wissen systematisch festzuhalten
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