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C-CoMP Data Management Handbook
  • C-CoMP Data Management Handbook
  • Table of Contents
  • Executive Summary
  • Glossary of Terms
  • Overview
  • C-CoMP Data Roadmap
  • Internal C-CoMP Dataset Numbers
  • Sending samples to other labs
  • Data Group Definitions
  • Data Deposition Instructions
    • Metadata and Tabular Data Files
    • Raw and Derived Data Files
      • LC-MS Metabolomics
      • LC-MS Proteomics
      • NMR Metabolomics
      • Genomics/Sequencing Data
  • Numerical Models
  • Software & Tools
  • Data Products
  • File Naming Conventions
    • LC-MS Metabolomics
    • LC-MS Proteomics
    • NMR Metabolomics
    • Sequencing Files
    • Sequencing Products
    • Numerical Models & Products
    • Derived Files
    • Metadata & Tabular Data
  • File Naming and Data Deposition Example
  • Digital Coordinator Role
  • FAQ
  • Appendix
    • Quick Links
    • Spreadsheet Templates
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Overview

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Last updated 2 years ago

The (C-CoMP) shares data, metadata, data products, protocols, code, and software according to FAIR Data Principles (Wilkinson et al. 2016) to implement our open science objectives.

Data diversity is one of the strengths and challenges of C-CoMP’s open science approach. C-CoMP generates observational, experimental, simulated, and derived data in both standard and non-standard formats using a variety of different methodologies and sample sources.

For example, all of the following are included within the C-CoMP data landscape:

  • oceanographic field data (e.g. salinity, depth)

  • microbial abundances

  • bulk chemical measurements (e.g. phosphate concentrations, DOC concentrations)

  • genomic sequences (e.g. amplicon-based sequencing, metagenomics, metatranscriptomics)

  • Numerical modeling outputs

  • Metabolite concentrations (LC-MS and NMR)

  • Protein abundances (LC-MS)

For data to be findable, accessible, interoperable, and reusable (FAIR), data must be well-described using standardized parameters, organized, stored on publicly accessible repositories, and structured in human and machine-readable open formats to facilitate data integration efforts.

To address this challenge, C-CoMP has created this data management handbook, using input from the C-CoMP community and the Biological and Chemical Oceanography Data Management Office (BCO-DMO) and guidance from FAIR Data Principles and the , to support C-CoMP’s open science policy and provide efficient, data stream dependent instructions for storing, organizing, naming, and submitting data to publicly accessible repositories.

Center for Chemical Currencies of a Microbial Planet
Research Data Management Service Group at Cornell University