# Fileset

[RDA_VP15_poster_v4.pdf](https://mdr.nims.go.jp/filesets/e69426d2-1971-4758-bc9e-11d7b7118f9a/download)

## Creator

[MATSUDA, Asahiko](https://orcid.org/0000-0001-5989-027X), [TANABE, Kosuke](https://orcid.org/0000-0002-9986-7223), [KADOHIRA, Takuya](https://orcid.org/0000-0003-0569-1309), [TANIFUJI, Mikiko](https://orcid.org/0000-0001-5284-6364)

## Rights

Creative Commons BY Attribution 4.0 International[Creative Commons BY Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/)

## Other metadata

[Materials metadata: as a custom schema, as directories, or in a data package](https://mdr.nims.go.jp/datasets/c59fca58-3a47-43dc-8c65-20776b858792)

## Fulltext

✔ Assists wide distribution beyond our platform.✔ Parts can have different metadata from the whole.✘ Limited vocabulary for domain-specific metadata.è Potential topic for community discussions. (See Bioschemas, an extension of Schema.org)📄 data.csv📄 ro-crate-preview.html📄 ro-crate-metadata.jsonldMaterials metadata:as a custom schema, as directories, or in a data packageAsahiko Matsuda, Kosuke Tanabe, Takuya Kadohira, and Mikiko TanifujiMaterials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), JapanNational Institute for Materials Science (NIMS)Materials Data Platform Center (DPFC), Materials Data and Integrated System (MaDIS)We are developing a materials data platformCreate UsePublishText/Data miningExperimentsCalculationsAnalysis &IntegrationRepositoryStore and manageResearch data managementCommon metadata modelHardware infrastructure2:  Metadata as directoriesMetadata for materials datadatametadata⬣ “Bibliographic” metadataTitle, Authors, Identifiers… ⬣ ”Scientific” metadataInstruments, Specimen,Characterization method…Highly domain-specific!3:  Metadata in a data packageData packaging: Making data self-documenting and self-contained. RO-Crate, BagIt, etc.instruments & lab PCs📂 OSC-100 (Instrument ID)└📂 u01234 (User Name/ID)└📂 ProjABC (Project Name)└📄 data.csvro-crateA combination of systems to support every stage of data’s lifecycle for materials science1:  Metadata as a custom schemaResearchers already manage their data using folders.✘ Difficulties in implementing a complex structure.✘ Massive edit forms à Users were overwhelmed.CommonmetadataIDsAuthorsData originDate …Characterization metadataSpecimen metadataProperty metadataSynthesis metadataCalculation metadata+Mapped to appropriatemetadata fieldsplatform systems✔ Easy to use in labs.✔ Network not required.✘ Prone to human errors.✘ Only simple common metadata.✘ Different mapping for every research project.Implemented as part of our IoT-assisted data collection system.Mostly positive researcher feedback.“One JSON schema to rule them all”?Making full use of package metadata files.Thoughts{ “@graph”: [{ “@id”: “./”, //metadata for whole/* Bibliographic metadata */“name”: ...,“author”: ...,/* Scientific metadata */“variableMeasured”: ...,“hasPart”: {“@id”: “data.csv”}},{ “@id”: “data.csv”,/* Different metadata forparts of the dataset */}]}Pre-defined structure:+metadata form:whole or subset?directory mappingand other alternative metadata sourcesplatformcustom model & schemadata usersdata package/file-based metadata⬣ Bibliographic metadata are well standardized, while domain-specific scientific metadata require discussions in respective communities.⬣ Dealing with heterogeneous data requires a common metadata schema, but it’s not always a good idea to expose the whole to the users.⬣ There’s more than one way to deal with metadata. Look for a practical combination of methods.