# DataMeta - submission server for data and associated metadata
Data submission made easy! DataMeta allows you to easily define sample sheet columns, value constraints for the sample sheet and columns which are associated with raw data file names.
DataMeta is quick and easy to deploy on your local infrastructure and scales for high numbers of users!

## Quick Installation
Create a directory for the datameta configuration (of your choice) ` mkdir /usr/local/lib/datameta cd /usr/local/lib/datameta `
Edit the configuration file
The fields that require changing are marked with # CHANGE THIS. You may want to perform additional adjustments to the compose file to fit your needs.
Download the Docker compose file ` curl -LO https://datameta.org/minimal/docker-compose.yml `
Create the Docker volumes for persistent file and database storage ` docker volume create datameta-db docker volume create datameta-filestorage `
Start up your DataMeta Instance ` docker-compose up -d `
# DataMeta - submission server for data and associated metadata
Initial version.
Metadata
Release files for datameta 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datameta-1.1.1.tar.gz | 145.8 kB | Without provenance | Details for datameta-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datameta-1.1.1-py3-none-any.whl | Python 3 | none | any | Details for datameta-1.1.1-py3-none-any.whl |
Total release size: 352.9 kB
Release files / datameta-1.1.1.tar.gz
| Download URL | datameta-1.1.1.tar.gz |
|---|---|
| Size | 145.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7de479547492329c7be9b1abecaed96d58cbea100e4a68f084172b346070d41d
|
|
BLAKE2b-256 checksum How to use checksums |
70f8418d655f8fafdcc416c57aa6ce873286b5c68f3c3463219db8163899365d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / datameta-1.1.1-py3-none-any.whl
| Download URL | datameta-1.1.1-py3-none-any.whl |
|---|---|
| Size | 207.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e159bb1bd9c0eb25032b5c1a134ce0db843f554559176b65d07f8e52983fab06
|
|
BLAKE2b-256 checksum How to use checksums |
2488e9d1a6da7f99180cb03945a167ca627c9fa21948192029ea16cc0e1e36b3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Security for datameta 1.1.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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