Because collecting longitudinal data becomes more important in academic research nowadays and because limitations with available tools, I (Peter) developed DearScholar.
DearScholar allows researchers to easily and orderly collect rich and diverse qualitative and quantitative data over short and long periods of time to answer research questions about inter- and intra-individual changes, developments, and processes.
Contributions to the project are very welcome, visit GitHub for instructions .
DearScholar has been built using Apache Cordova and Framework7 (v5.4.1, by Vladimir Kharlampidi). Icons are provided by Icons8.
An academic publication in which DearScholar is described and discussed is under way.
Many thanks to the StackOverflow community for their (technical) help and the Framework7 people for their splendid tools; Glenn Houtgraaf MSc, Liesbeth Faas MSc, and the ICT Services (Radboud University, Nijmegen) for their advice, testing, and feedback; prof. dr. Sandra van Thiel for her encouragements; a big hug to all respondents for their effort and feedback during the developmental process; and last but not least, thanks to my family for being so awesome!
Security is important and cool.
Protected by username, password and a personal PIN code (or Touch ID / Face Recogition when available);
Secure data transmission over SSL to a secure server in the Netherlands;
Additional data encryption on the server (data-at-rest) is under way.
This is why DearScholar exists.
Informed Consent Form to be accepted at first login;
Flexible measurement schedule;
Open questions, rating scales, sliders, and binary (yes/no) questions;
Validation (mandatory and optional questions);
Speech to text recognition (respondents can dicate their answers);
Branching and skip logic.
Data logged on the respondents' devices, so respondents can review their answers during the entire research period (and after);
In app messaging to correspond with respondents (sorry for the current uncool lack of design);