We will develop a method for low-cost, longitudinal developmental research with low attrition rates utilizing a decentralized PDS. Specifically, we will establish a research platform for conducting developmental research on social cognition while multiple independent research institutions share research participants.
We first establish a method of indirect collaboration among three or more research institutes based on decentralized data management, and show that it is possible to efficiently conduct research not only through collaboration among fixed research institutes, but also through dynamic changes in the collaboration structure as research progresses. In other words, a mechanism will be established whereby independent research institutes will operate data from their own perspectives based on decentralized management. This will not be a mere collaboration between two institutions, but will show that research can be developed efficiently while dynamically increasing the number of collaborating institutions as research progresses.
Since the decentralized management of PD (Personal Data) is to manage and operate personal data by the person (his/her PAI) with his/her name in his/her hands, it is especially important to generate new PD useful to him/her and to operate it flexibly under the decentralized management, especially in the field where there are few databases that aggregate PD useful to him/her. It is important to generate new PDs that are useful to the individual and to operate them flexibly under decentralized management. Therefore, we will demonstrate that flexible control, such as preventing the disclosure of research methods and ideas that belong to the researcher, is possible under decentralized management by aggregating new PD to the person in question and limiting its disclosure to specific
collaborators such as the experiment conductor. Furthermore, we will demonstrate the effectiveness of this method by conducting developmental research that would not be possible without decentralized control and achieving results.

We focused on extending the functions of GO-E-MON, an online cognitive experiment platform we are developing, to help researchers in psychology and developmental sciences understand the benefits of decentralized PDS-based data collection. GO-E-MON is based on Personary App developed by Hasida PI. It is a platform for online experiments and online surveys. As a decentralized data platform for human research, it is necessary to maintain and operate the experiment platform over a long period of time. On the other hand, the progress of AI-related technologies such as Chat-GPT has been remarkable, and it is essential to link with various information services in circulation for the long-term maintenance and operation of the experimental platform. This fiscal year, we have strengthened linkage with online experiment libraries for psychological experiments such as jsPsych, and messaging applications such as Line.?
　Currently, GO-E-MON is operated by the University of Tokyo, Kyoto University, and Osaka University, and rules are being established to utilize questionnaire survey data and laboratory experiment data in a form that is named for individual experiment participants.?
　In FY2022, we attempted to utilize the GO-E-MON in the following.

• research on social cognition of adults
• study on “procrastination behavior” and stress of adults (* Procrastination is defined as "the act of putting off a task even when one knows that doing so will have maladaptive consequences.")

In FY2023, long-term and longitudinal developmental studies will be conducted using decentralized PDS. For long-term, longitudinal developmental research, it is essential to operate long-term and securely with data that are named to individuals (children). This is best accomplished using a decentralized PDS. In addition, no previous studies have found a way to safely utilize decentralized data in developmental and cognitive sciences, and this is considered to be a world-leading study.  For example, the relationship between parents' daily child-rearing behavior and developmental changes in their children's social cognition is an important issue in cognitive science, and it is expected that new research methods will clarify this relationship.

Performers:

HIRAKI Kazuo: The University of Tokyo

MORIGUCHI Yusuke: Kyoto University

KANAKOGI Yasuhiro: Osaka University