Proteomics is a rapidly growing research area that produces large amounts of data, which has led to complex challenges around data management. Proteomics data and datasets need to become more Findable, Accessible, Interoperable, and Re-usable (FAIR1) to promote data sharing. To address these challenges and facilitate better proteome data management, the field needs to develop formal structures and procedures. To this end, the Japanese Proteomics Society decided to launch a new data journal – the Journal of Proteome Data and Methods (JPDM).
In order to launch JPDM, we prepared the following documents: Publishing plan, Instruction to authors, Guide to reviewers, Ethics policies, License to publish form, and Frequently asked questions. All documents are available at https://www.jhupo.org/jpdm/. We also prepared a submission system (https://mc.manuscriptcentral.com/jpdm/) using the ScholarOne platform.
Features of JPDM
JPDM is a peer-reviewed and fully open access journal provided via the J-stage platform. JPDM publishes four article types: Data descriptors, Protocols, Data processing notes, and Reviews. The main content of the journal is Data descriptors, which is described detailed metadata of mass-based proteomics datasets. JPDM collaborates with ProteomeXchange2 (PX), which is a consortium of proteome data repositories including jPOST3, PRIDE4, MassIVE, etc. When data producers register their datasets in a PX repository then post detailed metadata in JPDM, the journal sends a feedback to the PX repository. JPDM contributes to add a value for proteome datasets by providing detailed metadata.
We launched the new data journal for proteomics community named JPDM. The journal is peer-reviewed and fully open access, and the website is https://www.jhupo.org/jpdm/. JPDM realizes the FAIR principal in the proteomics field by providing rich information. JPDM welcomes lots of submission from community members.