Funny general lab tidiness clip art6/22/2023 ![]() Many fields have particular ways that they structure their metadata so it’sĬonsistent and can be used across the field. What type of data to collect depends on your experiment and there are often guidelines from metadata standards. Data about the experimentĭata about the experiment is usually collected in spreadsheets, like Excel. Unique names makes them much easier to track later. They are names for that data that only exist for that data. Unique identifiers are a unique name for a sample or set of sequencing data. If you process the same sample twice, you do not usually do it on the sameĭay, or if you do, you’re aware of it and give them names like A and B. Using dates also helps create unique identifiers, because even Including dates on your lab notebook pages, the samples themselves and inĪny records about those samples helps you associate everything with each For guidelines on good lab notebooks, see the Howard Hughes Medical Institute “Making the Right Moves: A Practical Guide to Scientifıc Management for Postdocs and New Faculty” section onĭata Management and Laboratory Notebooks. Notes about your experiment, including how you prepared your samples for sequencing, should be in your lab notebook, whether that’s a physical lab notebook or electronic lab notebook. We want to follow a few guidelines for metadata. Was this more information and data than you were expecting?Īll of the data and information just discussed can be considered metadata, i.e. There likely will be other ideas here too. ![]() Lab notebook notes about how you prepared the DNA/RNA for sequencing and what type of sequencing you’re doing, e.g.Sequencing centers often have a particular format they need with the name of the sample, DNA concentration and other information. Spreadsheet or tabular data about the samples you sent off for sequencing.Lab notebook notes about how you conducted those experiments.Spreadsheet or tabular data with the data from your experiment and whatever you were measuring for your study.Types of files and information you have generated: What kinds of data and information have you generated before you sent your DNA/RNA off for sequencing? Solution Without the information about what you sequenced, the sequence data itself is useless. This is the data about the data, often called the metadata. When we think about the data for a sequencing project, we often start by thinking about the sequencing data that we get back from the sequencing center, but just as important, if not more so, is the data you’ve generated about the sequences before it ever goes to the sequencing center. Understand the importance of metadata and potential metadata standards.Įxplore common formatting challenges in spreadsheet data. Think about and understand the types of metadata a sequencing experiment will generate.
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