Metadata is standardized information about your data and will be used to annotate the data files in Synapse. These metadata files for needed for each study: Individual, Biospecimen, Assay, and Manifest. These are described below with links to the latest templates.
Download the metadata templates and populate the fields relevant for your individual subjects, biospecimens, and assays. The metadata templates provide guidance for allowed variable keys and values on the dictionary and values worksheets. The AD Metadata Dictionary includes the latest information about allowed values.
In order for your metadata to validate successfully, download the latest Metadata Templates, populate with the relevant information and validate. Once you have populated the metadata fields, export the template worksheet from each file as a plain-text comma-separated file (CSV). and follow the validation instructions below.
Metadata Templates
Individual Animal
This file contains metadata about each individual animal that is part of a study. Each animal will be described in one row with information that is true of the animal as a whole (eg, individualID, genotype).
Template: template_individual_animal_model-ad.xlsx
A biospecimen is a sample of cells, tissue, RNA, DNA, etc. This metadata file contains information about each biospecimen that is part of a study, including details like what organ and tissue the specimen is from.
The biospecimen and individual animal metadata files are linked by the individualID variable. Verify these values are consistent across these two files. Each individualID may have more than one associated specimenID. Not all data will have an associated biospecimen – for instance behavioral or imaging studies may only have records in the individual animal metadata file.
The biospecimen and assay metadata files are linked by the specimenID and it should be consistent across these two files. If more than one assay was conducted on the same specimen, the same specimenID should be used throughout.
Template: template_biospecimen.xlsx
Assays
Each assay metadata file contains information about the assay and there are multiple templates since the information collected will vary by assay.
The assay metadata and biospecimen metadata files are linked by the specimenID variable, which appears in both files and it should be consistent across these two files.
Not all assays have related assay metadata templates, but let the DCC know if you would like to collaborate on the development of new templates.
Manifest
A tab-delimited manifest file allows you to upload and download many data files, and set annotations, at once a client (Python, R, command line). Each row in the manifest species the file to be uploaded and the annotations to be applied.
Template: template_manifest.xlsx
Specify:
path– the path of the file to upload (local, server, cloud)parentID– the Curator will provide a Synapse ID of the Staging/ folder where the file will be uploaded.
Annotations are key-value pairs that associate metadata with a file and help users find and query data. For more info, see the Synapse documentation for annotations.
Provenance is a means of describing a relationship between raw and processed data. For more info, see the Synapse documentation on provenance. If you are uploading the results of an analysis, you may add a Used column to a manifest to give the Synapse ID(s) of the raw files that went into the analysis. If multiple Synapse IDs should be associated with a processed file, separate them with a semicolon
Once you have populated the manifest fields, export the template worksheet as a plain-text tab-separated file (TSV).
With the three metadata CSVs and manifest TSV complete, you are ready to validate the study metadata.
Metadata Validation
To standardize data submissions and quality control, we’ve built a metadata validation tool, dccvalidator, that will perform several data quality checks on metadata templates and manifest files.
Validated metadata can be uploaded to the staging location provided by the DCC Curator. See more information about uploading data.
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