Evaluating research communications: 2012 / Évaluer les communications de recherche: 2012
Permanent URI for this collection
Browse
Recent Submissions
Item Dix conseils en matière de visualisation de données : évaluation des résultats du CRDI; communication des résultats de la recherche en vue d’exercer une influence(Section de l’évaluation, CRDI, Ottawa, ON, CA, 2012) Strecker, JacquelineItem Ten (10) data visualization tips : evaluating IDRC results; communicating research for influence(Evaluation Unit, IDRC, Ottawa, ON, CA, 2012) Strecker, JacquelineThis guideline provides tips on how to best communicate project results, such as: “Identify the relationships and patterns of your data and focus on what you want to show; Depict relationships between two variables... they are effective with large datasets and can highlight patterns or correlations...” It also recommends finding preferred models and ways of adapting them to report writing.Item Examen de la visualisation de données (version abrégée) : évaluation des résultats du CRDI; communication des résultats de la recherche en vue d’exercer une influence(Section de l’évaluation, CRDI, Ottawa, ON, CA, 2012) Strecker, JacquelineItem Data visualization in review : summary; evaluating IDRC results - communicating research for influence(Evaluation Unit, IDRC, Ottawa, ON, CA, 2012) Strecker, JacquelineA three stage analysis was conducted of IDRC-supported research outputs. Findings suggest that data visualization use generally remains at a novice level. The summary provides an overview of visual perception, including “colours in culture” and how data display can be useful for better conveyance of information. Although data visualization is fairly new for development researchers, it affords opportunities to both transform and display data. The audience and purpose of the visualization should always be in mind when considering what to present and how to present it.Item IDRC data visualization review : evaluating IDRC results; communicating research for influence(Evaluation Unit, IDRC, Ottawa, ON, CA, 2012) Cox, AmandaThis review is organized to assist learning, using specific examples to illustrate larger design principles which can be applied to data visualizations across the Centre’s work. Most of the interactive work in this review allowed users to look up data of interest to them. Regardless of the size, provenance, or complexity of final visualizations, providing access to full data tends to generate goodwill and greater faith in results, assuming confidentiality can be maintained.Item Redesigned IDRC visualizations : evaluating IDRC results; communicating research for influence(Evaluation Unit, IDRC, Ottawa, ON, CA, 2012) Cox, AmandaMany IDRC staff and grantees have commented that it is useful to refer to good design models when deciding what types of visualizations to apply to their work. It can also be extremely use-ful to see how designers interpret and adapt de-signs based on their experience with data visualizations. Based on this rationale, this study took the opportunity to use Amanda Cox’s extensive knowledge to redesign four of the reviewed ex-amples to demonstrate good practice. The final example in this series takes on a different form than the original example, and is meant to high-light the potential uses for applying more inter-active designs to communicate research findings.Item Data visualization in review : part of the strategic evaluation on communicating research for influence(2012) Strecker, Jacqueline; Cox, AmandaThis study assesses the potential of data visualization to assist in effectively communicating research. Although it is fairly new for development researchers, it affords opportunities to both transform and display data through relatively simple changes. These capabilities are extremely useful within complex and changing environments, which are akin to the contexts surrounding IDRC-supported projects. 21 examples are chosen from IDRC-supported research, grouped into five broad areas: color, sorting tables, chart types, clarity, and interaction.