“Designer Nicholas Rougeux has spent the last year combining his love for data visualization with his tech skills to lovingly restore and place 19th-century texts online. After the success of Werner’s Nomenclature of Colours and the geometry tome Byrne’s Euclid, Rougeux is tackling a new topic—botanical illustration.
After scouring the internet for different 19th-century botanical catalogs, Rougeux set his sights on Illustrations of the Natural Orders of Plants by Elizabeth Twining. This 1868 two-volume catalog is the second edition of a work first published in 1849 (volume 1) and 1855 (volume 2). The rare first edition can go for upward of £40,000 (about $49,000), but luckily for Rougeux, the second edition is available for consultation online at the Internet Archive (volume 1, volume 2) and the Biodiversity Heritage Library….”
As access to open data is increasing, researchers gain the opportunity to build integrated datasets and to conduct more powerful statistical analyses. However, using open access data presents challenges for researchers in understanding the data. Visuals allow researchers to address these challenges by facilitating a greater understanding of the information available.
This paper illustrates how visuals can address the challenges that researchers face when using open access data, such as: (1) becoming familiar with the data, (2) identifying patterns and trends within the data, and (3) determining how to integrate data from multiple studies.
This paper uses data from an integrative data analysis study that combined data from prospective studies of children’s responses to four natural disasters: Hurricane Andrew, Hurricane Charley, Hurricane Katrina, and Hurricane Ike. The integrated dataset assessed hurricane exposure, posttraumatic stress symptoms, anxiety, social support, and life events among 1707 participants (53.61% female). The children’s ages ranged from 7 to 16 years (M?=?9.61, SD?=?1.60).
Visuals serve as an effective method for understanding new and unfamiliar datasets.
In response to the growth of open access data, researchers must develop the skills necessary to create informative visuals. Most research-based graduate programs do not require programming-based courses for graduation. More opportunities for training in programming languages need to be offered so that future researchers are better prepared to understand new data. This paper discusses implications of current graduate course requirements and standard journal practices on how researchers visualize data.
“For decades, the syllabus has been the roadmap to college classes, listing homework, assignments, and most crucially, texts for students to read and reference. But while a syllabus might be able to teach students what they’re in for during the semester, academics have lacked a tool to analyze large masses of syllabi to better understand what teachers are teaching in different disciplines. That means there isn’t as much empirical data about the content being taught at universities.
The Open Syllabus Project aims to fix this problem. Researchers at the the American Assembly, a nonprofit housed within Columbia University, have collected an archive of more than six million syllabi from college courses all over the world that could help teachers to create new syllabi and researchers to garner a cross-cultural understanding of higher education.
The project first launched three years ago, but this new update has six times as many syllabi and search tools and visualizations designed to map out how academia works right now….”
“Librarians, researchers and students are invited to join this EIFL webinar aboutOpen Knowledge Maps, an interface that searches databases for research and presents search results visually, in the form of knowledge maps.
The knowledge maps provide an instant overview of a topic by showing the main areas researched at a glance, and papers related to each area. Papers found are clustered together into similar topics.
The Open Knowledge Maps interface searches more than 7,000 content sources in all disciplines, providing access to over 140 million documents. The knowledge maps include both closed and open access papers; however, they highlight open access papers, most of which can be accessed from within the interface….”
Abstract: Knowledge workers like researchers, students, journalists, research evaluators or funders need tools to explore what is known, how it was discovered, who made which contributions, and where the scholarly record has gaps. Existing tools and services of this kind are not available as Linked Open Data, but Wikidata is. It has the technology, active contributor base, and content to build a large-scale knowledge graph for scholarship, also known as WikiCite. Scholia visualizes this graph in an exploratory interface with profiles and links to the literature. However, it is just a working prototype. This project aims to “robustify Scholia” with back-end development and testing based on pilot corpora. The main objective at this stage is to attain stability in challenging cases such as server throttling and handling of large or incomplete datasets. Further goals include integrating Scholia with data curation and manuscript writing workflows, serving more languages, generating usage stats, and documentation.
“The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. We explore new and innovative ways of enabling discovery, including visualizations, recommender systems, semantics, content mining, annotation, and responsible metrics. …”