Broadening Public Access to Data through the Development of Tools for Data Novices
Bibliographic Data
| ID | 12170457 |
|---|---|
| Authors | Josefina J Card (Sociometrics Corporation, corresponding author), Lauren Shapiro (Sociometrics Corporation), Lauren J Shapiro (Sociometrics Corporation, corresponding author), Angela Amarillas (Sociometrics Corporation, corresponding author), Elizabeth McKean (Sociometrics Corporation, corresponding author), Tamara Kuhn (0000-0003-1075-2209, Sociometrics Corporation, corresponding author) |
| Year | 2003 |
| Volume | 21 |
| Issue | 3 |
| Pages | 352-359 |
| Publication date | 2003-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439303253983 |
| OpenAlex | W1993109159 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
In this article, the authors describe three new resources aimed at bringing scientific data, data analysis, and data interpretation to nonexperts (e.g., high school students; undergraduates; health practitioners) through innovative web-based and CD-ROM-based tools. In the first resource, original survey questions and answers are used as the basis for searching through data collections instead of analytic software-generated variables and response codes. Search results are presented as data tables, allowing novices to access survey findings without having to conduct data analysis themselves. A second set of tools is aimed at reaching an even larger audience of nonexperts through the development of a research-based data and Internet literacy curriculum, along with associated training materials. Finally, a third approach is looking at bringing math concepts and statistical data to high school students through the use of real-world DataStories that come to life with the help of computer-based story scripts, animation, audio, and interactive exercises
Animation · Curriculum · Data science · Data set · Multimedia · Pedagogy · Resource (disambiguation · Scripting language · Set (abstract data type · The Internet · World Wide Web · Computer Science · Psychology · Statistics Education and Methodologies · Artificial Intelligence
| Citations per year | 0.05 |
|---|---|
| Citation span | 2006 - 2006 (1) |
| Highly cited | No |