State Historic Preservation Office Survey

Creator(s): Terry Klein

Year: 2022

Summary

Survey of State Historic Preservation Office representatives to a set of questions regarding number, expertise, and training of staff as well as ability to manage workload anticipated for the period 2022-2031.

Cite this Record

State Historic Preservation Office Survey. Terry Klein. 2022 ( tDAR id: 468906) ; doi:10.48512/XCV8468906

Data Set Structure

Measurement Column
Count Column
Coded Column
Filename Column
Integration Column (has Ontology)

Table Information: Dollar and Job GDP Proj

Column Name Data Type Type Category Coding Sheet Ontology Search
Additional Comment 2 A few states had two additional comments. This column is for the second statement
VARCHAR  Uncoded Value uncategorized none none true
Additional Comments Free form textural comments
VARCHAR  Uncoded Value Other : Date Created none none true
Infrastructure Bill impact Qualitative assessment of the impact on SHPOs workload of the Infrastructure bill
VARCHAR  Uncoded Value Other : Date Created none none true
Positions open Current job postings
VARCHAR  Uncoded Value Other : Date Created none none true
Availability Qualitative assessment of availability of applicants with requisite skills
VARCHAR  Uncoded Value Other : Date Created none none true
Number of graduates in CRM fields Qualitative assessment of graduates in all fields of CRM
VARCHAR  Uncoded Value Other : Date Created none none true
State Historic Preservation Office Each row represents a distinct SHPO. The names of the states have been redacted
VARCHAR  Uncoded Value Other : Date Created none none true

Temporal Coverage

Calendar Date: 2022 to 2031

Individual & Institutional Roles

Principal Investigator(s): Jeffrey Altschul

Notes

Redaction Note: Names of States have been redacted from Excel Speadsheets

File Information

  Name Size Creation Date Date Uploaded Access
SHPO-Survey_for-tDAR.xlsx 23.77kb Jun 3, 2022 Jun 3, 2022 12:00:38 PM Public
Excel spreadsheet of the results of SHPO survey in support of paper on forcasting economic trends and the labor market in CRM for the period 2022-2031
  • Translated version SHPO-Survey_for-tDAR_translated.xlsx (13.70kb)
    Data column(s) in this dataset have been associated with coding sheet(s) and translated: