Peer Review Report For: COPO: a metadata platform for brokering FAIR data in the life sciences [version 1; peer review: 1 approved, 1 approved with reservations]
Year: 2020
Type: peer-review
Abstract: Scientific innovation is increasingly reliant on data and computational resources. Much of today’s life science research involves generating, processing, and reusing heterogeneous datasets that are growing exponentially in size. Demand for technical experts (data scientists and bioinformaticians) to process these data is at an all-time high, but these are not typically trained in good data management practices. That said, we have come a long way in the last decade, with funders, publishers, and researchers themselves making the case for open, interoperable data as a key component of an open science philosophy. In response, recognition of the FAIR Principles (that data should be Findable, Accessible, Interoperable and Reusable) has become commonplace. However, both technical and cultural challenges for the implementation of these principles still exist when storing, managing, analysing and disseminating both legacy and new data. COPO is a computational system that attempts to address some of these challenges by enabling scientists to describe their research objects (raw or processed data, publications, samples, images, etc.) using community-sanctioned metadata sets and vocabularies, and then use public or institutional repositories to share them with the wider scientific community. COPO encourages data generators to adhere to appropriate metadata standards when publishing research objects, using semantic terms to add meaning to them and specify relationships between them. This allows data consumers, be they people or machines, to find, aggregate, and analyse data which would otherwise be private or invisible, building upon existing standards to push the state of the art in scientific data dissemination whilst minimising the burden of data publication and sharing.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: CALIFORNIA: Cloud-agnostic Architecture to Locate Indexed FAIR Objects and safely Reuse them in New Integrated Analyses, PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data, G2088862385, ISA-InterMine: accelerating and rewarding data sharing, G2641991998, Capture, dissemination and analysis of multiscale cell migration data for biological and clinical applications (MULTIMOT), Computational Developments, G4588060015, G4700980730, University of Maryland NIH Data Commons Facilitation Center, BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Engine center, Inhibiting Misfolded protein PRopagation in Neurodegenerative Diseases - Sofia ref.: 116060, G4937468798, G5040315192, G5265172031, COpenPlantOmics (COPO): a Collaborative Bioinformatics Plant Science Platform, The FAIRsharing service: supporting the research life-cycle, Enabling UK wheat research with the CyVerse UK cyberinfrastructure, Development and deployment of versatile digital platforms for 'omics-based data sharing and analysis, Delivering ELIXIR-UK, COpenPlantOmics (COPO): a Collaborative Bioinformatics Plant Science Platform, ISA-InterMine: accelerating and rewarding data sharing, ELIXIR-EXCELERATE: Fast-track ELIXIR implementation and drive early user exploitation across the life-sciences., The FAIRsharing service: supporting the research life-cycle, Development and Implementation Plan for Community Supported FAIR Guidelines and Metrics, COpenPlantOmics (COPO): a Collaborative Bioinformatics Plant Science Platform, Center for Expanded Data Annotation and Retrieval <CEDAR> - Overall, G7831763320, iPlant UK, G8231966385, G8858395165
OpenAlex ID: W4416631086
Cites:
Cited by:
Related to: