For project leadership and operators

System overview

A plain-language description of what the aLife Sample Database does, what it does not do, and what must be arranged for production.

What this system is

The aLife Sample Database is a website for collecting and exploring audio samples for the aLife project. People can listen to samples, read descriptions, search and compare the collection, and—if they have an account with the right role—contribute recordings or describe sounds.

This guide is written for project decision-makers and operators. It explains the service in everyday terms; it is not a technical deployment manual or a legal opinion.

What the system does

The sound profile used for similarity is a mathematical summary of audio signal characteristics. It is not a transcript, an understanding of what a sound means, or speaker identification.

What the system does not do

Production responsibilities

Before real users or research data are placed in production, project leadership should assign named owners for service operation, data protection, content and rights complaints, backups, and incident response. The repository provides deployment configuration and instructions, but the institution must supply and operate the actual service.

Backups and recovery

The database and uploaded audio must be backed up together. Database records refer to audio files; having only one can leave an incomplete collection. The admin database dump is useful for data export, but contains sensitive information such as password hashes and sessions, and does not include uploaded audio, deployment secrets, or database roles.

As a starting recommendation, arrange automated, monitored daily backups and an additional backup before releases or database changes. Keep an encrypted, access-restricted copy off the production host in a separate failure domain. Agree on retention and deletion rules, monitor failures and storage space, and protect recovery credentials separately. Test a complete restore into an isolated environment at least quarterly and after important changes. Set an acceptable data-loss window and recovery time with project leadership; if daily backups are insufficient, commission and test a more frequent recovery method.

The technical README in the project repository contains a manual backup example and configuration and scheduling stubs. These are examples, not an installed backup service. An operator must implement and test the job, off-host destination, alerts, retention, and full restore process.

Other production checks

Important data and rights notes

New uploads require the Author to confirm that they have the rights and permissions needed to publish the recording, provide a creator credit, choose a catalog license, and agree to that license. The sample and creator credit are public. The selected license name and link are displayed with the sample. CC0 is a public-domain dedication tool, not a Creative Commons license; review all initial and administrator-added options with the institution before use. Do not upload confidential or sensitive recordings. Removing a sample from this service cannot necessarily remove copies already obtained under a valid license.

Some older samples may have no license recorded. Do not treat them as covered by a license unless the rights holder has given valid authorization. Check the sample's displayed status and the project's terms before reusing material.

Administrators collect account first and last names and email addresses when creating new accounts. These details are used for account administration and are not displayed in public sample listings. The application does not verify email ownership; the institution should confirm appropriate collection, access, retention, and deletion rules.

The admin database dump contains sensitive account and session data and must be protected. CSV exports omit contributor identifiers, account credentials, sessions, file paths, and audio signal profiles, but include public sample information and may contain user-provided text. Treat them as project data and apply institutional access and retention rules.