How it works
- Use existing templates or create your own study with lab.js experiment builder
- Import the experiment file into Open Lab
- Send the invitation link to participants and monitor their progress in real time
- You do not need to set up your own server to run a study.
- Open Lab can host any type of scripts created in lab.js.
- Your study can enroll more participants from the community of Open Lab users.
- You can share your experiments with colleagues.
- HTTPS data transfer protocol ensures that data is encrypted during transmission.
- The user authentication system allows you to create complex studies in which people take part in experiments separated in time.
- Open Lab provides a system of data management including saving of data during an experiment.
More and more studies in social sciences are being implemented online. However, there are barriers to the use of the Internet. First, technical difficulties in conducting an online-experiment. Even if a simple questionnaire is not a problem, an experimental paradigm is already a burden for researchers who want to collect data online.
Second, although the replicability crisis has triggered a number of important innovations such as study pre-registration, open access to data and analysis methods, the methods of data collection are often concealed under general specifications in the method section. Especially in online experiments, where the software is directly accessible to a participant, the code and parameters of the user-computer interaction are rarely documented and opened for other researchers.
Thirdly, data security is difficult for a researcher who is just beginning to program his or her own study. Not every available service supports secure data transmission from a participant to the server. Also, the personal information (e.g., email address) is often stored together with the results of the experiment.
To overcome these limitations, Open Lab offers a researcher a way to conduct an online-study without technical difficulties. It frees time to focus on more important methodological and data analysis work. The experiments are automatically documented and stored so that cooperation with colleagues and meta-analyses of previous studies are possible. The HTTPS protocol ensures that participants' data is encrypted during transmission. User access to experiments can be protected by various authentication strategies such as participant codes, e-mails, passwords or accounts on social networks.