kantorowicz_2025_copyright_uk_pros

3,216 rated or chosen profiles from 268 respondents, in up to 6 tasks of 2 profiles varying on 5 attributes.

One of 3 tables from the same source; this one is the uk_pros table. The others are listed under Related tables.

About this table

DescriptionUK creative-sector professional respondents (Dynata; n=268) imagined selling rights in a landscape photo to a guidebook publisher and made 6 forced choices between two contracts varying price (25/50 GBP) and four yes/no rights transfers (attribution, issuing copies, reproduction, derivative works).
ReferenceKantorowicz, J., Kantorowicz-Reznichenko, E., & Nahmias, Y. (2025). The price of creativity: A conjoint experiment in copyrights. Journal of Public Policy, 45(2), 245-269.
DOI10.1017/S0143814X25000042
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/BIBHUW

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents268
Rows (one per respondent, task and profile)3,216
Tasks per respondent (most)6
Profiles per task2
Attributes5
Tasks with no profile chosen0

Design

Topicother
A profile representsproduct service
CountryGB
Language shownen
Language of stored levelsen
Randomization restrictionsunknown
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceChoose between Contract A and Contract B (paraphrase) [choice, forced]

Columns

attr_derivativeattr_issue_copiesattr_no_attributionattr_priceattr_reproducechoicecov_agecov_genderidprofiletask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kantorowicz_2025_copyright_uk_pros", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("kantorowicz_2025_copyright_uk_pros", source="conj")

How to cite

@article{Kantorowicz_2025, title={The price of creativity: a conjoint experiment in copyrights}, volume={45}, ISSN={1469-7815}, url={http://dx.doi.org/10.1017/S0143814X25000042}, DOI={10.1017/s0143814x25000042}, number={2}, journal={Journal of Public Policy}, publisher={Cambridge University Press (CUP)}, author={Kantorowicz, Jaroslaw and Kantorowicz-Reznichenko, Elena and Nahmias, Yifat}, year={2025}, month=Feb, pages={245–269} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0