IRIS UMETRICS Object Code Classification 2022

Persistent URL

https://doi.org/10.21987/v9zp-c742

Title

IRIS UMETRICS Object Code Classification

Citation

Zhang, Z., Nicholls, N., VanEseltine, M., Brown, C., and Owen-Smith, J. IRIS UMETRICS Object Code Classification. Ann Arbor, MI: The Institute for Research on Innovation & Science [distributor & publisher], 2022-11-1 doi: 10.21987/v9zp-c742

Authors

Zhuoqi Zhang (University of Michigan)

Natsuko Nicholls (University of Michigan)

Matthew VanEseltine  (University of Michigan)

Christopher A. Brown (University of Michigan)

Jason D. Owen-Smith (University of Michigan)

Publisher & Distributor 

Institute for Research on Innovation and Science (IRIS)

Publication Year

2022

Resource Type

Text

File Type

PDF

File Description

This documentation provides researchers with details about the recently completed object code classification project and its product which supplements the IRIS UMETRICS 2022 release dataset. IRIS receives administrative data on research spending and the purposes of spending associated with funded research projects. As part of data submission to IRIS, universities share object codes (these are often interchangeably used with “spend categories” or “expense categories”) and corresponding descriptions. IRIS has cleaned, processed, and standardized these object code descriptions through a two-tier classification system, with the first tier consisting of nine general object categorizations; the second tier is a dis-aggregate of those general categories. This documentation is publicly available.