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This dataverse houses data related to projects associated with the Scholarly Communications Lab (ScholCommLab) at Simon Fraser University and the University of Ottawa. Find more at scholcommlab.ca

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11 to 20 of 81 Results

APCdataset-JournalLevel_Published-v1.txt Jun 12, 2024 - Open dataset of annual Article Processing Charges (APCs) of gold and hybrid journals published by Elsevier, Frontiers, MDPI, PLOS, Springer-Nature and Wiley 2019-2023 Plain Text - 809.7 KB - MD5: 6ad58ee0b939c4e82c5292c0ce6b5f5c Journal level dataset: OA status, publisher(s) and annual APCs for 8,712 unique journals
ReadMe-APCdataset_Published-v1.txt Jun 12, 2024 - Open dataset of annual Article Processing Charges (APCs) of gold and hybrid journals published by Elsevier, Frontiers, MDPI, PLOS, Springer-Nature and Wiley 2019-2023 Plain Text - 4.2 KB - MD5: cb3c2c2505f5b32c0fefff573a4ca9d5 Read me file
Data for: The impact of COVID-19 on the debate on open science Jan 10, 2024 Benson Marshall, Melanie; Pinfield, Stephen; Oliveira, Monique; Chtena, Natascha; Dorsch, Isabelle; Alperin, Juan Pablo; Hafiz, Mariana; Clinio, Anne; Barata, Germana; Peters, Isabella; Fleerackers, Alice; Abbott, Pamela; Cox, Andrew, 2024, "Data for: The impact of COVID-19 on the debate on open science", https://doi.org/10.7910/DVN/PQSEQH, Harvard Dataverse, V1, UNF:6:qGtSrRwfFYi6p5TkvogM8g== [fileUNF] This dataset contains the appendix, analysis protocol, search strategy, and corpus of works included in the associated publication. A full description of the methodology can be found in the publication.
Appendix Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science Adobe PDF - 157.1 KB - MD5: b8d004ff686f46c94b8cd1f592b1a149
Authorship Template Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science Adobe PDF - 154.2 KB - MD5: e7b0fe63a1067d597893b6a911f427ba
Content analysis protocol Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science Adobe PDF - 82.1 KB - MD5: 4e70c01a0c0ad6232737ebd86274596a
Corpus.tab Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science Tabular Data - 128.6 KB - 15 Variables, 446 Observations - UNF:6:qGtSrRwfFYi6p5TkvogM8g==
Search strategy Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science MS Excel Spreadsheet - 34.4 KB - MD5: 14ef1edee020c007da0f969eb2217285
Data for: Identifying Metadata Quality Issues Across Cultures Jul 26, 2023 Shi, Julie; Nason, Mike; Tullney, Marco; Alperin, Juan Pablo, 2023, "Data for: Identifying Metadata Quality Issues Across Cultures", https://doi.org/10.7910/DVN/GZI7IA, Harvard Dataverse, V1, UNF:6:4g/frGnjZiZaOWIVHs5DFQ== [fileUNF] This sample was drawn from the Crossref API on March 8, 2022. The sample was constructed purposefully on the hypothesis that records with at least one known issue would be more likely to yield issues related to cultural meanings and identity. Records known or suspected to have at least one quality issue were selected by the authors and Crossref sta...
Dataset Description.pdf Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Adobe PDF - 95.9 KB - MD5: fd4f452b32b057ee0daf5a27bf3c3f2a

APCdataset-JournalLevel_Published-v1.txt

Jun 12, 2024 - Open dataset of annual Article Processing Charges (APCs) of gold and hybrid journals published by Elsevier, Frontiers, MDPI, PLOS, Springer-Nature and Wiley 2019-2023

Plain Text - 809.7 KB -

Journal level dataset: OA status, publisher(s) and annual APCs for 8,712 unique journals

ReadMe-APCdataset_Published-v1.txt

Jun 12, 2024 - Open dataset of annual Article Processing Charges (APCs) of gold and hybrid journals published by Elsevier, Frontiers, MDPI, PLOS, Springer-Nature and Wiley 2019-2023

Plain Text - 4.2 KB -

Read me file

Data for: The impact of COVID-19 on the debate on open science

Jan 10, 2024

Benson Marshall, Melanie; Pinfield, Stephen; Oliveira, Monique; Chtena, Natascha; Dorsch, Isabelle; Alperin, Juan Pablo; Hafiz, Mariana; Clinio, Anne; Barata, Germana; Peters, Isabella; Fleerackers, Alice; Abbott, Pamela; Cox, Andrew, 2024, "Data for: The impact of COVID-19 on the debate on open science", https://doi.org/10.7910/DVN/PQSEQH, Harvard Dataverse, V1, UNF:6:qGtSrRwfFYi6p5TkvogM8g== [fileUNF]

This dataset contains the appendix, analysis protocol, search strategy, and corpus of works included in the associated publication. A full description of the methodology can be found in the publication.

Appendix

Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science

Adobe PDF - 157.1 KB -

Authorship Template

Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science

Adobe PDF - 154.2 KB -

Content analysis protocol

Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science

Adobe PDF - 82.1 KB -

Corpus.tab

Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science

Tabular Data - 128.6 KB - 15 Variables, 446 Observations -

Search strategy

Jan 10, 2024 - Data for: The impact of COVID-19 on the debate on open science

MS Excel Spreadsheet - 34.4 KB -

Data for: Identifying Metadata Quality Issues Across Cultures

Jul 26, 2023

Shi, Julie; Nason, Mike; Tullney, Marco; Alperin, Juan Pablo, 2023, "Data for: Identifying Metadata Quality Issues Across Cultures", https://doi.org/10.7910/DVN/GZI7IA, Harvard Dataverse, V1, UNF:6:4g/frGnjZiZaOWIVHs5DFQ== [fileUNF]

This sample was drawn from the Crossref API on March 8, 2022. The sample was constructed purposefully on the hypothesis that records with at least one known issue would be more likely to yield issues related to cultural meanings and identity. Records known or suspected to have at least one quality issue were selected by the authors and Crossref sta...

Dataset Description.pdf

Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures

Adobe PDF - 95.9 KB -

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