Coded Data for Replication of Dynamic Analyses of Qualitative Evidence via GRATIS

Published: 16 March 2023| Version 2 | DOI: 10.17632/c4jhckhhps.2
Manuel Gonzalez Canche


This is a dataset used in the paper titled "Graphical Retrieval and Analysis of Temporal Information Systems (GRATIS): An Integrative Mixed Methodology and Open-Access Software to Analyze the (Non-)Linear Chronological Evolution of Information Embedded in Textual/Qualitative Data" This study has been accepted at the Journal of Mixed Methods Research and it is currently in production.


Steps to reproduce

Mac users can download GRATIS here:; PC users can download the software here: To execute the application (1) extract the zip folder, (2) open the folder starting with “GRATIS-”, and (3) double click on the file called “GRATIS-Mac or GRATIS-win.” A. Load data or select a data example. a. By default, GRATIS asks you to load your data but also provides two data examples (i.e., the full set of the coded short essays about the reasons to participate in a data science seminar and a subset of coded interviews on strategies employed by faculty members with short term contracts to participate in savings and retirement plans). B. Upload data a. To upload a database, search for a comma-separated value (CSV) file stored locally. If you select a data example provided with GRATIS, load that database by selecting “Click to load [essay or interview] data example.” b. Any uploaded database is then displayed in the GRATIS user interface. C. REQUIRED information: a. Select the actor column (or document/essay ID) b. Select the code/label column. D. OPTIONAL: (attributes to aid in the contextualization of information evolution, displayed when clicking on an actor, code, or line/connection): a. Column denoting role (see example datasets ). Indicates specific roles of the actors (e.g., students, faculty, administrators) or documents (e.g., historical, legal). All codes will display the role “Code” in the visualization—see Figure 4. b. Column denoting personal attributes. Actors with the same time variant or invariant attributes will have the same color in the network, thus aiding to identify groups. All codes will be orange in the visualization (colors can be changed in the optional adjustments tab). c. Column denoting non-personal attributes. All actors with the same time variant or invariant non-personal attributes will show the same shape in the visualization. All codes will be a circle in the visualization (shapes can be changed in the optional adjustments tab). d. Column containing the content of the code (quote) that changes as time passes. This enables users to retrieve in real time the information provided by actors or collected from documents. e. You can modify the number of consecutive events to map. As stated above, the recommended number is two, especially if the groups are large. The current event will have a green line, and the immediate previous event will be blue. f. Finally, you can select the transparency level of the colors to be plotted, with 1 being solid and 0 being transparent. Recommended/default value is 0.8. E. “Execute GRATIS” on the top panel to obtain two HTML documents. a. The first document relies on TIS and dynamic networks and depicts the complete evolution of information. b. The second document is an aggregated network depiction summarizing all the contributions made by each actor or retrieved from every document or essay.


University of Pennsylvania


Data Science, Network Modeling, Free Software, Data Visualization, Textual Database, Interactive Data Visualization, Mixed Social Research Methods


National Academy of Education

Spencer Foundation

TIAA Institute