We aim to achieve an analysis platform for the open neuroscience data to expand the research field for each individual in Matsuzaki Lab. Matsuzaki Lab-DSP provides comprehensive data collection, which allows Matsuzaki Lab scientists to generate and stimulate data-driven cross-modal neuroscience.
As a part of the collaborative project linking five institutions (RIKEN CBS, NIPS, QST, NCNP, and the University of Tokyo), Matsuzaki Lab Data Sharing Platform has been developed to promote research transparency, reproducibility, and collaboration through appropriate management and sharing of research data. This platform operates in accordance with the principles of responsible data stewardship and aims to contribute to the advancement of neuroscience research by collecting and publishing the research data generated in laboratories, in a reliable and sustainable manner.
The platform makes publicly available the “publication data”, along with its metadata associated with it. Publication data here refers to any data acquired or generated during research conducted and/or published from Matsuzaki Lab, except for data restricted by privacy or legal concerns. Publication data may be subdivided into primary and secondary data, as described in more detail below:
Primary data
Primary data refers to raw data obtained directly from experiments, including data from imaging systems, behavioral recording systems, electrophysiological devices, or other measurement instruments. These data are minimally processed or interpreted at the time of collection so as to retain the scientific characteristics of the original data while ensuring their reusability and interoperability. The processing details, if any, should be provided in the metadata associated with the primary data.
Secondary data
Secondary data includes any processed or derived data generated by analyzing or transforming primary data. Both primary and secondary data may be stored in the platform with accompanying metadata.
Metadata
Metadata describes the context, acquisition, processing, and structure of the data to facilitate their reuse. Metadata should include sufficient details to reproduce experiments or analyses. It should also contain information about how to cite the data, as well as contact information (e.g., ORCID iD or email address) about the responsible contributors.
The Principal Investigator (PI) of Matsuzaki Lab is ultimately responsible for all data stored in the system. Any data associated with a published manuscript must meet the journal’s data sharing standards. The PI should ensure that uploaded data meets acceptable format, quality, and metadata completeness standards. Inappropriate or incomplete datasets may be subject to review and removal at the discretion of the PI.
Data to be registered in the repository shall be kept for 10 years or longer. Due to various circumstances, such as the advances in science and technology and changes in trends, the value of the data may change during the storage period of the data. The PI will periodically review stored data and adjust sharing status or licenses according to changing scientific or institutional needs.
All inquiries regarding specific datasets should be directed to the corresponding data contributor or the PI of Matsuzaki Lab. The PI is responsible for ensuring timely and appropriate responses.
Data and metadata: All members of Matsuzaki Lab may register and use this Data Sharing Platform. Users may upload data, provided that they hold appropriate rights. Approval by the PI is necessary before sharing data outside the lab.
Types of data: Any type of data generated during research activities in Matsuzaki Lab may be uploaded, so long as it does not violate privacy, copyright, confidentiality, or third-party agreements.
File formats: Any file format is accepted. However, efforts are encouraged to convert data into preservation-friendly formats, for more interoperability at the time of their publication.
Data quality: The PI is responsible for ensuring the uploaded data is of appropriate quality and is accompanied by sufficient metadata.
Metadata formats: Metadata are stored internally in JSON format, with options to export in standard formats such as MARCXML, Dublin Core, and DataCite.
Language: English is the primary language for metadata and documentation.
Access to data objects: Files may be deposited under open, restricted (closed), or embargoed access. Restricted (closed) files are protected and require specific approval to be accessed.
Reuse policy: Data reuse is governed by the license under which the dataset was deposited. If a dataset is deposited elsewhere (e.g., a separate repository), licensing should be consistent.
Restricted Access: Restricted files can be shared under specific conditions with depositor approval. They are not publicly accessible.
Metadata reuse: Metadata is available under CC0.
Citations: Researchers using data from this Data Sharing Platform should acknowledge the Platform and the data-producing lab members, by following the citation instructions specified in the metadata. Authorship may be requested for significant contributions.
Succession plans: In the case of content migration to other alternative repositories or platforms, related inquiries should be made to the contributor of the data. To ensure reachability to the contributor(s) on such occasions, metadata should include contact information (ORCID iDs are preferred) of all the contributing members.
Removal: Content outside the platform’s scope may be removed by the PI. Misuse may result in revoked access.
These policies are valid from April 2025. They are derived from the one used in the RIKEN CBS repository system (https://neurodata.riken.jp/#policy), but all responsibilities concerning their implementation on this Platform rest with Dr. Masanori Matsuzaki, the PI of Matsuzaki Lab.
The policies may be revised in the future, to be in accordance with other university- and nation- wide policies and guidelines.
Data contributors are encouraged to provide identifiers of the corresponding publications (if any) to link to shared datasets. Efforts shall be made in the metadata to clarify the license and disclosure conditions of shared data, including how to cite it. If the corresponding research activity abides by any collaborative agreements or MTAs, the applicable terms must be followed.
Internal users must cite Matsuzaki Lab Data Sharing Platform and the original data contributors in any resulting publications or presentations. For usage tracking, users may be required to submit identifying information (e.g., name, affiliation, IP address) before downloading data.
All open-access data and tools are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. External users may download and use data freely under the terms of this license. Computer programs may be released under appropriate open-source licenses and must be used in accordance with their specified terms.
For unpublished (restricted-access) datasets, external users are encouraged to contact the contributors for clarification on the data collection methods or to coordinate publications.
These terms are valid from April 2025. They are derived from the one used in the RIKEN CBS repository system (https://neurodata.riken.jp/#policy),, but all responsibilities concerning their implementation on this Platform rest with Dr. Masanori Matsuzaki, the PI of Matsuzaki Lab.
The terms may be revised in the future, to be in accordance with other university- and nation- wide policies and guidelines.
Email: mmlabrepogmail.com
This repository system is operated by Matsuzaki Lab.