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Interpreting Biomedical Science: Experiment, Evidence, and Belief discusses what can go wrong in biological science, providing an unbiased view and cohesive understanding of scientific methods, statistics, data interpretation, and scientific ethics that are illustrated with practical examples and real-life applications. Casting a wide net, the reader is exposed to scientific problems and solutions through informed perspectives from history, philosophy, sociology, and the social psychology of science. The book shows the differences and similarities between disciplines and different eras and illustrates the concept that while sound methodology is necessary for the progress of science, we cannot succeed without a right culture of doing things.

PurposeThe purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.Design/methodology/approachThe emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).FindingsThe proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.Originality/valueDespite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.

The research in this paper adds to the discussion linked to the challenge of capturing and modeling tacit knowledge throughout software development projects. The issue emerged when modeling functional requirements during a project for a client. However, using the design science research methodology at a particular point in the project helped to create an artifact, a functional requirements modeling technique, that resolved the issue with tacit knowledge. Accordingly, this paper includes research based upon the stages of the design science research methodology to design and test the artifact in an observable situation, empirically grounding the research undertaken. An integral component of the design science research methodology, the knowledge base, assimilated structuration and semiotic theories so that other researchers can test the validity of the artifact created. First, structuration theory helped to identify how tacit knowledge is communicated and can be understood when modeling functional requirements for new software. Second, structuration theory prescribed the application of semiotics which facilitated the development of the artifact. Additionally, following the stages of the design science research methodology and associated tasks allows the research to be reproduced in other software development contexts. As a positive outcome, using the functional requirements modeling technique created, specifically for obtaining tacit knowledge on the software development project, indicates that using such knowledge increases the likelihood of deploying software successfully.

The systematic design, building and implementation of IT services for on-premise, cloud-based or hybrid data centers are a hard engineering and managerial process. Heavyweight IT service design workflows—from ITIL v2011, CMMI-SVC v1.3 and the ISO/IEC 20000 standard—have been used in the last decade. However, the current dynamic business requirements demand to accelerate IT service design, building and implementation. Consequently, agile workflows—from ITIL v4 and VeriSM—or lightweight ones—from ISO/IEC 29110-4-3 standard and FitSM—have been proposed. However, despite these IT service design workflows provide high valuable content, they are still reported in a coarse-grain level, and thus academics and practitioners interested in using to them must add ad-hoc roles, activities-tasks, and artifacts-templates. In this research, we address this relevant knowledge gap, and using a Design Science Research Methodology (DSRM), we elaborate and evaluate exploratory an agile IT service design workflow—called AVS_FD_MVITS—that provides fine-grain content regarding roles, activities-tasks and artifacts-templates. AVS_FD_MVITS was designed using design components taken from Scrum-XP and ITIL v4 IT service design workflows. To evaluate exploratory AVS_FD_MVITS, we applied it in a realistic case in an academic small data center. The exploratory qualitative-based evaluation suggests that AVS_FD_MVITS can be considered a valid agile IT service design workflow useful for academics and practitioners. However, confirmatory quantitative-based evaluations are asked for advancing this research stream.

Learning and teaching to program is an arduous task. It requires a lot of commitment, dedication, and passion from everyone involved. Programming courses have high dropout and failure rates. Throughout time, several educational research works have been carried out to study the different learning processes and characteristics of students. With this work, we present and describe our vision and model of teaching and learning of initial programming to minimize the problems. We present a technological tool, called HTProgramming (Help To Programming), which complements the teaching and learning process. This allows students to practice a wide variety of activities with immediate feedback, directly related to content and themes for learning programming. It allows the teacher to follow the whole process and students’ results. Using a machine-learning (neural network) predictive model of student failure, it will allow the teacher to anticipate possible student failure and act quickly. In this paper, we apply the Design Scientific Research Methodology to tackle teaching and learning difficulties to initial programming. We also include the results and evaluation of the application. Students consider the application an important tool for their learning process. The student failure prediction model presents very realistic values.

PurposeThe aim of the article is to propose BPMN extensions that facilitate the modeling of Clinical Pathways in a way that enables for various groups of users, the transfer of a much wider range of information in the form of process models without compromising their readability and usefulness.Design/methodology/approachThe paper uses the design science research methodology (DSRM) and covers phases of a design-oriented research project extending BPMN notation for clinical pathway modeling.FindingsThe article proposes extensions of BPMN in 5 areas, enabling standardization of the description of business processes of different natures and complexity and in turn meeting the needs and requirements of modeling clinical pathways and, more broadly speaking, knowledge-intensive business processes (kiBPs) in general. As shown by the evaluation carried out among medical personnel, the proposed extensions allow for the readable transfer of a considerably larger body of information relevant to the planned, conducted and assessed therapy (kiBPs) than the current BPMN 2.0 standard.Originality/valueThe BPMN extensions proposed in the article fill the gaps in this notation and do not require users to know many notations, which in practice is unrealistic. Defined extensions to the BPMN specification makes it possible to standardise the description of processes of different natures and levels of complexity. In this way, both simplified models (and views of models) dedicated to users unfamiliar with BPMN and models (or views) using advanced possibilities provided by BPMN can be based on one standard, even if they use only a small part of its possibilities.

Despite the increasing reliance on information dashboards across industries, dashboard design practices remain fragmented, lacking standardized methodologies, ontological formalization, and governance integration. Addressing these gaps, this study develops a method to guide dashboard design by embedding ontological modeling and Information Governance (IG) principles. Two complementary artifacts are proposed: the Information Dashboard Design Ontology (IDDO) and the Information Dashboard Design Method (IDDM) Canvas. Using Design Science Research Methodology (DSRM) and a Unified Ontological Approach (UOA), IDDO formalizes tacit dashboard design knowledge into a structured framework, while the IDDM Canvas operationalizes this ontology into a practical design tool. Validation through the Ontological Unified Modeling Language (OntoUML) Plugin and conceptual assessment based on Unified Foundational Ontology (UFO) principles confirmed internal consistency and ontological soundness. The resulting framework integrates twelve dashboard design building blocks with eight IG principles to ensure rigor and governance alignment. The application of the IDDM Canvas demonstrated its utility in facilitating structured, replicable dashboard development. While the evaluation focused primarily on conceptual validation, future studies are recommended to empirically assess the framework’s practical effectiveness across various domains and real-world projects.

Systematic, practical, and accessible, this is the first book to focus on finding the most defensible design for a particular research question. Thoughtful guidelines are provided for weighing the advantages and disadvantages of various methods, including qualitative, quantitative, and mixed methods designs. The book can be read sequentially or readers can dip into chapters on specific stages of research (basic design choices, selecting and sampling participants, addressing ethical issues) or data collection methods (surveys, interviews, experiments, observations, archival studies, and combined methods). Many chapter headings and subheadings are written as questions, helping readers quickly find the answers they need to make informed choices that will affect the later analysis and interpretation of their data.   Useful features include: *Easy-to-navigate part and chapter structure. *Engaging research examples from a variety of fields. *End-of-chapter tables that summarize the main points covered. *Detailed suggestions for further reading at the end of each chapter. *Integration of data collection, sampling, and research ethics in one volume. *Comprehensive glossary. See also Vogt et al.'s Selecting the Right Analyses for Your Data, which addresses the next steps in coding, analyzing, and interpreting data.

The importance of gaining insights into informal organizational structures for management purposes is acknowledged by both research and practice. However, “traditional” approaches to analyzing informal organizational social networks involve significant manual effort and do not scale for larger datasets. Enterprise Social Networks (ESN) have emerged as important tools for informal employee interactions, such as for problem-solving and information sharing. While the analysis of ESN back end data might provide insights into the informal fabric of organizations, and in particular employees’ roles in such networks, there is a lack of systematic approaches for carrying out ESN analytics, such as for user role identification. Following a design science research process, a process-based method to identify user roles from ESN data was developed and evaluated. The method’s efficacy is demonstrated through an in-depth application in a case study of Australian professional services firm Deloitte. In doing so the paper shows how ESN data can be utilized to derive metrics that characterize participation behavior, message content, and structural network positions of ESN users.

Background Mobile health is gradually revolutionizing the way medical care is delivered worldwide. In Mozambique, a country with a high human immunodeficiency virus prevalence, where antiretroviral treatment coverage is 77% accompanied by a 67% of retention rate, the use of mobile health technology may boost the antiretroviral treatment, by delivering care beyond health facilities and reaching underrepresented groups. Leveraging new technologies is crucial to reach the 95–95-95 United Nations target by 2030. The design, development, implementation, and evaluation of a mobile health platform called Infomóvel were covered in this article. Its intended use involves collaboration with community health workers and aims to increase human immunodeficiency virus patient access, adherence, and retention to care. Methods Using the Design Science Research Methodology, Infomóvel was created, as well as this publication. The explanation of various actions includes everything from problem description to observational study and goal-following for a solution, which results in the design and development of a platform proposal. Before the utility assessment of Infomóvel was conducted to make adjustments, a demonstration phase was conducted in one region of Mozambique. Results The initial subjects of the Infomóvel flowchart and physical process design were patients receiving antiretroviral medication who were enrolled in the patients tracking system and who had consented to home visits. The case manager examines the file before importing it into the Infomóvel database stored on a cloud server using the website www.commcarehq.org . The case manager application synchronises with the Infomóvel server database, enabling the import of latest data and access to the lists of new patients and community health workers. The community health worker uses his phone to access his application, which allows him to record the geographic coordinates and sort the list of patients by priority and type of visit. Conclusion Results from Infomóvel add to the growing body of data showing that mobile health techniques are beneficial for managing stable individuals with chronic conditions in Mozambique. These approaches can be scaled up and better utilised. However, additional studies should be conducted to quantify the resources needed to implement on a larger scale.