Skills development

The CDO Playbook is an iterative document that explores and defines the evolution of the federal CDO role. It provides new and existing CDOs with guiding principles, opportunities for quick wins, and best practices to navigate some of the key areas that CDOs should focus on today and over the next few years.

The Curated Data Skills Catalog supports the Federal Data Strategy by providing a list of learning opportunities to help agencies develop competencies for managing data as a strategic asset and making data-driven decisions.

Explore examples of data science roles in the Federal Government.

This series was developed by the Chief Data Officer Council’s Data Skills & Workforce Development Working Group to provide support to agencies in implementing the Federal Data Strategy’s Agency Action 4 gap-closing strategy training component in FY21.

How to fix license validation errors caused by free text descriptions or CSS strings in a field that requires a URL.

How to identify and fix transformation errors, which occur when harvest.data.gov cannot read or convert a metadata record before validation even begins.

How to identify and fix malformed date values in the modified and issued fields, the most common cause of harvest validation errors.

How to fix harvest validation errors where the keyword field is present but contains a string instead of the required array of strings.

How to fix harvest validation errors caused by required metadata fields that are absent entirely from a dataset record.

How to identify and respond to less common harvest errors including duplicate identifiers, unrecognized record structures, and synchronization failures.

A one-page summary of the most common harvest validation error fixes, including field corrections and ISO 8601 duration codes for accrualPeriodicity.

How to fix accrualPeriodicity validation errors caused by plain English update frequency descriptions instead of the required ISO 8601 duration codes.

How to fix harvest validation errors in the contactPoint.hasEmail field caused by malformed email addresses, extra text, multiple addresses, or invisible characters.

An overview of the most common harvest errors on harvest.data.gov, based on analysis of errors across 81 harvest sources. Use this page to identify your error type and find the right fix.

A step-by-step guide to understanding harvest errors, reading the harvest job page, and fixing the most common metadata problems.

Learn how Data.gov harvests metadata from agency data sources and how to request a new harvest source or modify an existing one.

Improving staff data skills allows agencies to better harness the power of data. This playbook provides advice and tools for assessing data skills and addressing gaps. Executing the activities contained in this document will help agencies progress in fulfilling requirements of the Foundations for Evidence-Based Policymaking Act of 2018 and related guidance.

Details on how to get started with using inventory.data.gov, from creating a user account to using its features to manage datasets and export data.json.

The Subject Matter Expert Qualification Assessments (SME-QA) process introduces subject matter experts (SMEs), in partnership with HR specialists as guides, to create and conduct job related assessments before an applicant is considered qualified. HR specialists protect merit principles and ensure the integrity of the process. This strategy includes Data Science role examples.

A plain-language introduction to how harvest.data.gov works, what it does, and why it matters for federal data publishers.