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Ernakovich Lab Sequencing Data Management

Why care so much about data management?

  • Expensive: Sequencing data is precious and we should keep track of it - think of all the blood, sweat, tears and $$$ that went into getting your data. You wouldn't want to squander it by being careless.
  • Required by funders: Most funding agencies data management plans, to be in compliance with those requirements we are responsible for safeguarding our data electronically.
  • Required for publishing: Journals require submission of sequencing data to publicly accessible location
  • Avoids Nagging: Proper data management now will stop us from hounding you years down the road when you've moved on and never want to hear about your project again.

Typical data generation workflow

Step Examples of Data generated Management Practice
Field, laboratory, and other associated experimental data collected prior to or during sequencing. laboratory notebooks, gas flux outputs, field observations Compiled into table of inforamtion associated with each sequenced sample; some or all of this data may be deposited with sequencing data. A minimal table associating sample ids to sequencing files must be deposited on premise with raw sequencing data.
Raw sequencing data received from sequence center. fastq files R1 and R2 As soon as you receive data, deposit in in the /mnt/home/ernakovich/shared/sequencing_data folder.
Data analyzed by you, various products produced ASV tables, Metagenome Assembled Genomes, Gene tables Aspects of data necessary to interpreting your analysis should be made publicly available for publication.
Paper published off of data NA At a minimum, raw sequencing data and associated metadata should be uploaded to the Sequencing read archive.

Checklist of data management practices

As soon as you get the sequencing data

  • I have created a folder with the following nameing scheme: YYYY_MM_DD_ProjectName_PersonInitials in the /mnt/home/ernakovich/shared/sequencing_data directory and deposited my forward and reverse reads into that folder.
  • In addition to the forward and reverse reads, I have uploaded a spreadsheet with sample information to the folder. The spreadsheet contains, at a minimum, the sample ids, their corresponding file names, basic experimental design information.
  • I have uploaded a text file called "methods.txt" that details the laboratory processes that went into generating the sequencing data.

Before publication or before I leave the lab (whichever happens first)

  • I have uploaded my raw reads to SRA
  • I have uploaded any additional sequencing information relevant to the study (Metagenome assembled genomes, functional tables) to the appropriate online archive