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NExtSEEK: Extending SEEK for Active Management of Interoperable Metadata.
Pradhan, Dikshant; Ding, Huiming; Zhu, Jingzhi; Engelward, Bevin P; Levine, Stuart S.
Afiliación
  • Pradhan D; MIT BioMicro Center, Department of Biology, Massachusetts Institute of Technology Cambridge, Massachusetts02139 USA.
  • Ding H; MIT BioMicro Center, Department of Biology, Massachusetts Institute of Technology Cambridge, Massachusetts02139 USA.
  • Zhu J; MIT BioMicro Center, Department of Biology, Massachusetts Institute of Technology Cambridge, Massachusetts02139 USA.
  • Engelward BP; MIT BioMicro Center, Department of Biology, Massachusetts Institute of Technology Cambridge, Massachusetts02139 USA.
  • Levine SS; MIT BioMicro Center, Department of Biology, Massachusetts Institute of Technology Cambridge, Massachusetts02139 USA.
J Biomol Tech ; 33(1)2022 04 15.
Article en En | MEDLINE | ID: mdl-35836998
Data management is a critical challenge required to improve the rigor and reproducibility of large projects. Adhering to Findable, Accessible, Interoperable, and Reusable (FAIR) standards provides a baseline for meeting these requirements. Although many existing repositories handle data in a FAIR-compliant manner, there are limited tools in the public domain to handle the metadata burden required to connect data from multi-omic projects that span multiple institutions and are deposited in diverse repositories. One promising approach is the SEEK platform, which allows for diverse metadata and provides an established repository. SEEK is challenged by the assumption of single deposition events where a sample is immutable once entered in the database. This is structured for published data but presents a limitation for ongoing studies where multiple sequential events may occur in a single sample at different sites. To address this issue, we have created a modified wrapper around the SEEK platform that allows for active data management by establishing more discrete sample types that are mutable to permit the expansion of the types of metadata, allowing researchers to track additional information. The use of discrete nodes also converts assays from nodes to edges, creating a network model of the study and more accurately representing the experimental process. With these changes to SEEK, users are able to collect and organize the information that researchers need to improve reusability and reproducibility as well as make data and metadata available to the scientific community through public repositories.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Metadatos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomol Tech Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Metadatos Tipo de estudio: Prognostic_studies Idioma: En Revista: J Biomol Tech Asunto de la revista: BIOTECNOLOGIA Año: 2022 Tipo del documento: Article