ScholCommLab's Dataverse

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 64 Results

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
Dataset Description.pdf Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Adobe PDF - 95.9 KB - MD5: fd4f452b32b057ee0daf5a27bf3c3f2a
issuesCountCultural.tab Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Tabular Data - 2.7 KB - 15 Variables, 72 Observations - UNF:6:Z42MOr7tJUICxl/JFjLaYw== provides a breakdown of the number of cultural issues found by element and issue.
issuesGrouping.tab Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Tabular Data - 20.5 KB - 11 Variables, 37 Observations - UNF:6:olZnjnd4Nrq8PLut7s+Dzw== presents the authors' categorization of the issues, with definitions and examples for each unique issue. An ad-hoc classification of importance is also offered for transparency.
issuesValueList.tab Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Tabular Data - 36.2 KB - 7 Variables, 994 Observations - UNF:6:uJBi09tNeuYHcbNLPL04vA== Where more granular details are provided with umbrella issue types (e.g., "incorrectly input"), definitions and examples of these granular values are provided. The values correspond to those listed in column F "issueValueList" in the issueGrouping sheet, and in the recordReview sheet, they are recorded as "issueDetails: issueValue" (e.g., "incorrec...
recordReviewCodebook.tab Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Tabular Data - 4.9 KB - 4 Variables, 56 Observations - UNF:6:evchHHZq09Lwas62dK8igA== explains the organization of recordReview.csv and how column headings map to metadata fields.
recordReview.tab Jul 26, 2023 - Data for: Identifying Metadata Quality Issues Across Cultures Tabular Data - 345.4 KB - 24 Variables, 427 Observations - UNF:6:PGMyVwal8NLfuDAgy6fg3Q== lists the metadata records in the sample and the cultural issues identified in each record, organized by metadata field. Rows represent records and columns correspond to the metadata fields in which issues were found. When multiple issues are noted in a single metadata field for a record, issues are semi-colon (;) separated. Additional information...

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 -

Dataset Description.pdf

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

Adobe PDF - 95.9 KB -

issuesCountCultural.tab

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

Tabular Data - 2.7 KB - 15 Variables, 72 Observations -

provides a breakdown of the number of cultural issues found by element and issue.

issuesGrouping.tab

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

Tabular Data - 20.5 KB - 11 Variables, 37 Observations -

presents the authors' categorization of the issues, with definitions and examples for each unique issue. An ad-hoc classification of importance is also offered for transparency.

issuesValueList.tab

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

Tabular Data - 36.2 KB - 7 Variables, 994 Observations -

Where more granular details are provided with umbrella issue types (e.g., "incorrectly input"), definitions and examples of these granular values are provided. The values correspond to those listed in column F "issueValueList" in the issueGrouping sheet, and in the recordReview sheet, they are recorded as "issueDetails: issueValue" (e.g., "incorrec...

recordReviewCodebook.tab

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

Tabular Data - 4.9 KB - 4 Variables, 56 Observations -

explains the organization of recordReview.csv and how column headings map to metadata fields.

recordReview.tab

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

Tabular Data - 345.4 KB - 24 Variables, 427 Observations -

lists the metadata records in the sample and the cultural issues identified in each record, organized by metadata field. Rows represent records and columns correspond to the metadata fields in which issues were found. When multiple issues are noted in a single metadata field for a record, issues are semi-colon (;) separated. Additional information...

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