Crowdsourcing a music playlist for curating data

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Persistent link to this item

https://doi.org/10.13020/pmxd-dp53
https://hdl.handle.net/11299/229539

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Keywords

data curation

crowdsource

music playlist

humans of data

Curating for Reproducibility

Collection period

04-26-2022
05-21-2022

Date completed

05-21-2022

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Crowdsourcing a music playlist for curating data

Published Date

2022-07-25

Authors

Marsolek, Wanda

Group

Author Contact

Marsolek, Wanda
mars0215@umn.edu

Type

Dataset
Survey Data-Qualitative
Other Dataset

Abstract

Capstone project for Curating for Reproducibility (CURE) Consortium’s Data CuRe Fellowship (https://curating4reproducibility.org/.) My personal project for the fellowship is to acknowledge and celebrate the humanness of data curation. I created a survey to help crowdsource a music playlist from our colleagues around the world of the music we listen to while curating data. This project was supported by the Institute of Museum and Library Services (IMLS - RE-36-19-0081-19 )

Description

Files include the survey instrument, raw data from survey, processed data and README.

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License

Attribution-NonCommercial-ShareAlike 3.0 United States
http://creativecommons.org/licenses/by-nc-sa/3.0/us/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

IMLS RE-36-19-0081-19

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Previously Published Citation

Suggested citation

Marsolek, Wanda. (2022). Crowdsourcing a music playlist for curating data. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/pmxd-dp53.

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