---
title: "Best Practices for Identifying and Engaging Data Contributors"
url: "https://atlan.com/resources/identifying-contributors/"
description: "Best practices for identifying and engaging Data Contributors, a critical role in ensuring data quality, governance, and trust across an organization."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

Best practices for identifying and engaging Data Contributors, a critical role in ensuring data quality, governance, and trust across an organization. Data Contributors serve as stewards and owners of data: they enrich metadata, validate assets, and bridge communication between business and technical teams.

Page heading: Best Practices: Identifying and Engaging Data Contributors.

## About this guide

**Who to pick**

- Qualities: domain expertise, analytical ability, communication skills, attention to detail.
- Behavioral traits: problem-solving, ownership, adaptability.
- Likely candidates: business analysts, SMEs, team leads, and technical staff already handling critical datasets.

**Core responsibilities**: metadata enrichment, validation, issue escalation, documentation, and cross-team collaboration.

**Setting expectations**: scope of responsibility, contribution guidelines, time commitments, and success metrics.

**Sustaining engagement**

- Short term: start small, celebrate wins, give regular feedback, offer incentives such as certifications or recognition.
- Long term: build contributor communities, offer growth opportunities, involve leadership, and enable continuous training and knowledge sharing.

Stated outcome: higher-quality data, more effective collaboration, and faster progress toward data-driven goals.

## Related resources

- [Use Case Guide: Impact Analysis](https://atlan.com/resources/use-case-impact-analysis) (guide)
- [Use Case Guide: Compliance Management](https://atlan.com/resources/use-case-compliance) (guide)