Guidelines For Pursuing and Revealing Data Abstractions

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either directly or indirectly. We refer to the latter as latent data abstractions. We conduct a Grounded Theory analysis that (1) interprets the extent to which latent data abstractions exist, (2) reveals the far-reaching effects that the interventionist pursuit of such abstractions can have on data workers, (3) describes why and when data workers may resist such explorations, and (4) suggests how to take advantage of opportunities and mitigate risks through transparency about visualization research perspectives and agendas. We then use the themes and codes discovered in the Grounded Theory analysis to develop guidelines for data abstraction in visualization projects. To continue the discussion, we make our dataset open along with a visual interface for further exploration

Framing Outcomes and Program Assessment for Digital Scholarship Services: A Logic Model Approach

This is an Accepted Manuscript of an article published by the Association of College and Research Libraries in College and Research Libraries in March 2021, available online: https://doi.org/10.5860/crl.82.2.142Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities available at a university. Digital scholarship support is built upon deep, ongoing relationships and there is an intrinsic need to balance these time-intensive collaborations with scalable service offerings. Therefore, typical library assessment methods do not adequately capture the sustained engagement and impacts to research support and collaboration that come from digital scholarship services. This article discusses the creation of a logic model as one approach to frame assessment of digital scholarship services in the university environment.Publisher allows immediate open acces

Evidence Based Protocol: Improving Nutrition Monitoring in Hospitalized Adults

Malnutrition affects a large number of adult inpatients. For these patients, the implications of the high rate of malnutrition include impaired wound healing, higher rates of infection, and an increased risk of death. These complications contribute to increased healthcare costs and longer lengths of stay. The level of monitoring and documentation of patients’ meal consumption was acknowledged to be below expectations in an acuity-adaptable neurosciences unit situated in a downtown hospital located in the Midwestern United States. The define-measure-analyze-improve-control (DMAIC) quality improvement framework guided the quality improvement team to develop a standard process for meal related activities. The rate of meal intake documentation improved after adoption of the standard process

Observation Centric Sensor Data Model

Management of sensor data requires metadata to understand the semantics of observations. While e-science researchers have high demands on metadata, they are selective in entering metadata. The claim in this paper is to focus on the essentials, i.e., the actual observations being described by location, time, owner, instrument, and measurement. The applicability of this approach is demonstrated in two very different case studies

Semantic-Enabled Contacts as part of an Art Project Management tracking tool: Case of Re-Source project

International audienceAt the beginning of the ReSource project, is the observation that Art World is now fully 2.0, facing challenges such as transparency, reflexivity and participation. Mnemotix, a digital cooperative society, has been working for 2 years in partnership with the Contemporary Art Foundation Lafayette Anticipations and Alexandre Monnin, on an innovative application aiming at documenting in real time the collective process that leads to the production of works of art. Based on semantic technologies, tailor-made ontology and thesaurus, this application chain proposes to highlight the community of actors and skills involved in artworks production. We will present in this article our innovative custom-made tool for collaborative storytelling of Artworks, the dedicated ReSource ontology as well as its use in a semantic annotation interface to promote Artworks monitoring and visualizations of the interactions between members, contacts, resources and projects within the Contemporary Art ecosystem

Curtains Up! Lights, Camera, Action! Documenting the Creation of Theater and Opera Productions with Linked Data and Web Technologies

International audienceFor this paper, in the context of the French research project Spectacle en Ligne(s), we have recorded the entire set of rehearsals of one theater and one opera production using state-of-the-art video equipment. The resulting raw video and audio tracks as well as manually generated annotation data were then preprocessed in order to localize actors and detect their dialogues. Based on these preprocessing steps, we have built a Web-based hypervideo application that allows for navigation through performance time, performance space, and rehearsal time using modern HTML5 Web technologies like the emerging Web Components standard. We publish and consume the annotation data as so-called Linked Data Fragments, a novel way to make triple-based structured data available in a scalable way. As a direct outcome, researchers interested in the genetic analysis and the creation process of live performances can, thanks to this application, freely zoom in and out of scenes, rehearsal sessions, and stage locations in order to better understand the different steps on the way to a chef d'oeuvre. A live demo of the application is publicly available at the URL http://spectacleenlignes.fr/hypervideo/

Prototype Packages for Managing and Animating Longitudinal Network Data: dynamicnetwork and rSoNIA

Work with longitudinal network survey data and the dynamic network outputs of the statnet ERGMs has demonstrated the need for consistent frameworks and data structures for expressing, storing, and manipulating information about networks that change in time. Motivated by our requirements for exchanging data among researchers and various analysis and visualization processes, we have created an R package dynamicnetwork that builds upon previous work in the network, statnet and sna packages and provides a limited functional implementation. This paper discusses design issues and considerations, describes classes and forms of dynamic data, and works through several examples to demonstrate the utility of the package. The functionality of the rSoNIA package that uses dynamicnetwork to exchange data with the Social Network Image Animator (SoNIA) software to create animated movies of changing networks from within R is also demonstrated.