Data for: Responsible AI Practice in Libraries and Archives: A Review of the Literature

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Mannheimer, Sara; Bond, Natalie; Young, Scott W. H.; Scates Kettler, Hannah; Marcus, Addison; Slipher, Sally; Clark, Jason A.; Shorish, Yasmeen; Rossmann, Doralyn; Sheehey, Bonnie. 2024. "Data for: Responsible AI Practice in Libraries and Archives: A Review of the Literature". Qualitative Data Repository. https://doi.org/10.5064/F6QME490. QDR Main Collection. V1

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Description	Project Overview This dataset is a review of published works that provide a sense of trends in the library profession concerning implementation, adoption, modification, and development of AI in libraries, and ethical considerations related to AI. The authors searched available resources in the fall of 2022 and again in the summer of 2023. Using a selection of AI-related terms for keyword searching, the team evaluated several library and information science-related databases for relevant journal articles, books, and published conference proceedings to begin generating a collection of resources. Data and Data Collection Overview We scoped our review to case studies that describe a specific AI-related project in libraries or archives. We also required that the literature have at least one library or archives practitioner in the author group to clearly identify projects that were implemented in libraries and archives, rather than theoretical projects. Consequently, we excluded pilot-style projects by iSchool faculty or other information science researchers if the project did not include a practitioner. For the purpose of our paper, we define practitioner as anyone who is professionally employed in a library or archive—this could include librarians, archivists, library IT staff, clerical staff, administrators, or any other library or archives workers. We scoped our search to projects conducted in the United States and Canada. This dataset also includes R code used to analyze results and create visualizations. Shared Data Organization The key data file shared here is a full inventory of the published literature sources we analyzed. Other data files provided are the output data and output plot visualizations produced. The documentation files consist of this data narrative and an administrative README file.
Subject	Computer and Information Science; Social Sciences
Keyword	ethics, artificial intelligence, responsible ai
Related Publication	IsSupplementTo: Mannheimer, S., Bond, N., Young, S. W. H., Kettler, H. S., Marcus, A., Slipher, S. K., Clark, J.A., Shorish, Y. , Rossmann, D., Sheehey, B. (2024) "Responsible AI Practice in Libraries and Archives: A Review of the Literature." Information Technology and Libraries 43(3). doi: 10.5860/ital.v43i3.17245
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	Mannheimer-et-al_DataNarrative.pdf - 141.9 KB Published Sep 27, 2024 28 Downloads SHA512: 49025d77611bd0d11a8eddade147a18bd1182c514f52bea5611c2d1dcdc14bfee94fb0e1a2be625042154a9c8335d7f8dec58b3c9370b0591de559cda168bd25 Documentation	Preview "Mannheimer-et-al_DataNarrative.pdf" Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX
	README_Mannheimer-et-al.txt - 4.0 KB Published Sep 27, 2024 15 Downloads SHA512: 1a782fb29e3805e7030fcabbedd0e160f486d9d8a49cd0caa7fadd85320b9cffe803e0b6144e5f94ec450d58d2317143c52df4e2f42aebc635c2ca7e658b5825 Documentation	Preview "README_Mannheimer-et-al.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_analysis-code_08-08-2024.Rmd - 11.5 KB Published Sep 27, 2024 3 Downloads SHA512: 0b0b8343f1cb31986e7a7a5ca6e5854df1fd0505c1f448a2d018e39a8d1d0489794bebba4b6451f193aa636143e9c6b7bcfef93822d022255ebe7e4ae8805a17 Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_literature-data_07-22-2024.xlsx MS Excel Spreadsheet - 23.4 KB Published Sep 27, 2024 6 Downloads SHA512: 71c378d3470a6e08d998c942be32544d9c4aa3eea8aa97be0a7c00d85281f2395abe4bbfd4c4432f42af8871526e1f5ef9e1b52ef33d16b38bf45d92b7916134 Tabular Data: 10 Variables, 89 Observations UNF:6:vMduMMtgdfXOyRTDFMIWIQ== Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_tag-counts.xlsx Mannheimer-et-al_Output_Data/MS Excel Spreadsheet - 37.3 KB Published Sep 27, 2024 3 Downloads SHA512: 732d5970952ca1feb6ab111acaf074304ae58a215b764f2a6ea751b3e8192fb0504c1d8577dbbd2b27df09e3286876190e970dc3184fefe46afb9470c6bbe4aa Tabular Data: 103 Variables, 89 Observations UNF:6:jmfTYT9Hks7HI/5NELvwrQ== Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_tag-totals.xlsx Mannheimer-et-al_Output_Data/MS Excel Spreadsheet - 12.5 KB Published Sep 27, 2024 3 Downloads SHA512: 401ca4342364190f4fb7a92dc07adbd01e4c4efec737bf698cfe92844e47418f761bdfcde11a337124db05b7f31cb7065fc24beef4b8931d9cb44ba6ff3ed817 Tabular Data: 3 Variables, 102 Observations UNF:6:InTYeQV1QK3yye6sTuas8g== Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_collaborators.svg Mannheimer-et-al_Output_Plots/ - 6.4 KB Published Sep 27, 2024 3 Downloads SHA512: afc74aa1b690ab6bf41f343bcfb7e5e2f44089beed95cfe3cc82542160a0b3b463aba5fd426f988ce65b077a91f23a528ebd36d6c6592c2ab2735503da54fca8 Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_ethics-and-values.svg Mannheimer-et-al_Output_Plots/ - 11.9 KB Published Sep 27, 2024 4 Downloads SHA512: 6a649f3df205cfbc0dc594db59285ca14911be45066c446998d2166fe16da3de8bb7f583a7bf7a7cb9728e25cbb3c55807a3c0c9275da5b8a67a0764491a4f6c Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_ethics-any.svg Mannheimer-et-al_Output_Plots/ - 6.1 KB Published Sep 27, 2024 3 Downloads SHA512: 9491805feaeda7eb0a88577530b332554c32ae301394cb0f319043eb12d6d8bf2d33732b347a2f16319e098a9934d92fd4bb7fc6a65b2b9a621a42ba46e7c146 Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Mannheimer-et-al_institution-region.svg Mannheimer-et-al_Output_Plots/ - 10.2 KB Published Sep 27, 2024 3 Downloads SHA512: 7e3be2e002de652ebd9f027faa1a364286c1c621326ea69ef86ecf4fe1e40a174fc031b67cfc7f847d4febe9d0dd7fb45931bd74abd661279adbb13617617414 Data	Access File File Access Restricted Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX

Data Project Persistent Identifier	doi:10.5064/F6QME490
Publication Date	2024-09-27
Title	Data for: Responsible AI Practice in Libraries and Archives: A Review of the Literature
Creator	https://ror.org/02w0trx840000-0002-1433-6782 https://ror.org/0078xmk340000-0001-6850-2021 https://ror.org/02w0trx840000-0002-3082-4057 https://ror.org/04rswrd780000-0001-7706-713X Marcus, Addison(https://ror.org/02w0trx84)https://ror.org/02w0trx84 https://ror.org/02w0trx84https://orcid.org/0009-0007-1556-6591 https://ror.org/02w0trx84https://orcid.org/0000-0002-3588-6257 https://ror.org/028pmsz77https://orcid.org/0000-0002-4155-8241 https://ror.org/02w0trx84https://orcid.org/0000-0002-6490-4223 https://ror.org/02w0trx84https://orcid.org/0000-0001-9088-1304
Point of Contact	Use the Contact button at the top right to email this Data Project's contact. Mannheimer, Sara (QDR IDP)
Description	Project Overview This dataset is a review of published works that provide a sense of trends in the library profession concerning implementation, adoption, modification, and development of AI in libraries, and ethical considerations related to AI. The authors searched available resources in the fall of 2022 and again in the summer of 2023. Using a selection of AI-related terms for keyword searching, the team evaluated several library and information science-related databases for relevant journal articles, books, and published conference proceedings to begin generating a collection of resources. Data and Data Collection Overview We scoped our review to case studies that describe a specific AI-related project in libraries or archives. We also required that the literature have at least one library or archives practitioner in the author group to clearly identify projects that were implemented in libraries and archives, rather than theoretical projects. Consequently, we excluded pilot-style projects by iSchool faculty or other information science researchers if the project did not include a practitioner. For the purpose of our paper, we define practitioner as anyone who is professionally employed in a library or archive—this could include librarians, archivists, library IT staff, clerical staff, administrators, or any other library or archives workers. We scoped our search to projects conducted in the United States and Canada. This dataset also includes R code used to analyze results and create visualizations. Shared Data Organization The key data file shared here is a full inventory of the published literature sources we analyzed. Other data files provided are the output data and output plot visualizations produced. The documentation files consist of this data narrative and an administrative README file.
Subject	Computer and Information Science; Social Sciences
Keywords	ethics (ICPSR Subject Thesaurus) https://www.icpsr.umich.edu/icpsrweb/ICPSR/thesaurus/index artificial intelligence (ICPSR Subject Thesaurus) https://www.icpsr.umich.edu/icpsrweb/ICPSR/thesaurus/index responsible ai
Date of Data Collection	Start Date: 2022-09-01 ; End Date: 2023-07-01
Type of Data Project	secondary sources; coded qualitative data
Geographic Coverage	United States Canada
Related Publication	IsSupplementTo: Mannheimer, S., Bond, N., Young, S. W. H., Kettler, H. S., Marcus, A., Slipher, S. K., Clark, J.A., Shorish, Y. , Rossmann, D., Sheehey, B. (2024) "Responsible AI Practice in Libraries and Archives: A Review of the Literature." Information Technology and Libraries 43(3). doi 10.5860/ital.v43i3.17245 https://doi.org/10.5860/ital.v43i3.17245
Language	English
Distributor	Qualitative Data Repository (Syracuse University) (QDR) https://qdr.syr.edu
Distribution Date	2024-09-27
Depositor	Mannheimer, Sara
Deposit Date	2024-08-22

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Data for: Responsible AI Practice in Libraries and Archives: A Review of the Literature

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