Tasks to Green DWAs
| Purpose: | Provide a mapping of task statements to Green Detailed Work Activities. |
Structure and Description:
| Column | Type | Column Content |
|---|
| O*NET-SOC Code | Character(10) | O*NET-SOC Code (see Occupation Data) |
| Title | Character Varying(150) | O*NET-SOC Title (see Occupation Data) |
| Task ID | Integer(8) | Identifies each task (see Task Statements) |
| Task | Character Varying(1000) | Task statement associated with an occupation (see Task Statements) |
| Green DWA ID | Character Varying(20) | Identifies each Green Detailed Work Activity (see Green DWA Reference) |
| Green DWA Title | Character Varying(150) | Green Detailed Work Activity statement (see Green DWA Reference) |
| Date | Character(7) | Date when data was updated |
| Domain Source | Character Varying(30) | Source of the data |
This file maps each Green Detailed Work Activity (Green DWA) to the task statements, and consequently to the O*NET-SOC occupations, requiring that activity. Each Green DWA is mapped to multiple task statements, and each referenced task statement is mapped to one or more Green DWAs.
The file is displayed in 8 tab delimited fields with the columns named O*NET-SOC Code, Title, Task ID, Task, Green DWA ID, Green DWA Title, Date, and Domain Source. The 8 fields are represented by one row. There are a total of 1,311 rows of data in this file.
For more information, see:
File Structure Changes:
| Release Number | Description of Change |
|---|
| 18.1 | Added as a new file |
| 19.0 - 21.1 | No structure changes |
Data Example - Tasks to Green DWAs:
| O*NET-SOC Code | Title | Task ID | Task | Green DWA ID | Green DWA Title | Date | Domain Source |
|---|
| 19-4099.02 | Precision Agriculture Technicians | 18278 | Program farm equipment, such as variable-rate planting equipment or pesticide sprayers, based on input from crop scouting and analysis of field condition variability. | 4.A.3.a.3.G04 | Operate robotic or automated equipment. | 03/2014 | Analyst |
| 19-4099.02 | Precision Agriculture Technicians | 18293 | Analyze remote sensing imagery to identify relationships between soil quality, crop canopy densities, light reflectance, and weather history. | 4.A.2.a.4.G15 | Analyze geospatial data. | 03/2014 | Analyst |
| 19-4099.02 | Precision Agriculture Technicians | 19800 | Advise farmers on upgrading Global Positioning System (GPS) equipment to take advantage of newly installed advanced satellite technology. | 4.A.4.b.6.G04 | Provide advice related to agricultural issues. | 03/2014 | Analyst |
