1,720,961 research outputs found
A Qualitative Study of Academic Data-Related Librarians in Canada
No full textThe interview questions, codebook, and anonymized coded excerpts from the interview transcripts for a project to understand academic librarian perspectives regarding research data support in Canada. As per the McGill REB-approved consent form for this study, anonymized transcript excerpts, depending on individual participant consent, will be available via access control following a version update of this dataset following the expiration of the active data collection window (within a reasonable timeframe after April 1, 2023). Access terms will be updated at the same time
Documentation for McGill Librarian Knowledge Synthesis Search Materials Repository
No full textThis dataset contains guidance and documentation on standard file formats, conventions, and licensing for McGill librarians depositing KS materials. Documentation includes a README file with descriptions and examples regarding entering dataset metadata fields in addition to an outline of the structure of the higher level Dataverse repository and sub-repositories. The README also contains a data management plan (DMP) that outlines standard file format and naming conventions for KS deposits
RDM File Naming Convention Instructional Intervention Dataset
No full textData from a pre- and post-test RDM instructional intervention. File with "ReconciledData" contains single scores for each file name (pre and post) with disagreements reconciled following inter-rater reliability reaching > 90% for each variable. File with "IndependentCoderRatings" has the codes from each of the two coders that was used to calculate inter-rater reliability for each variable
Replication Data for: Love Data Week in the time of COVID-19: A content analysis of Love Data Week 2021 events
No full textThe analyzed data, README file, and codebook to reproduce the results and two charts from the related publication. Analyzed data is in two formats: original (Excel format) and .csv/archival format.
Version 2 of this dataset involved adding metadata, adding the csv/archival format of the dataset, updating this description, and adding the README file.
The analyzed dataset (Data_Analyzed sheet in the dataset) is composed of observations (each Love Data Week 2021 event) and the reconciled codes (i.e. the final codes assigned to each observation after 3 independent coders individually coded each event using the codebook and then discussed and reconciled any disagreements). Multiple codes could be assigned to each observation. We also coded for the name of a tool (e.g. "Excel" or "R") in separate columns. The codes apply to the event description and event title (variable names "Title" and "Description", columns B and D in this file). Column C (event type, i.e. "Type") was coded separately. See the README file for more detailed information about each sheet and documentation related to variable names/column headers
Pilot study: Schlieren imaging of heat recovery ventilation loops (house within a house)
No full textPilot study: Schlieren imaging of heat recovery ventilation loops (house within a house
R Script to Extract and Parse the PCCF Database
No full textAn R script to extract and parse the Postal Code Conversion File (PCCF) from Statistics Canada/Canada Post
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The Most Vital Statistics: Finding and Analyzing Historical Mortality Rates
Full text linkThis book chapter describes a hands-on data literacy instruction session designed for a US economic history undergraduate course. The session aims to teach students to find, critically analyze, and contextualize secondary data related to historical urban mortality rates in the United States. Students learn how to use a spreadsheet application (e.g., Excel) to interrogate historical trends in several major US cities and how to use library tools to discover supplementary sources to help explain trends that arise
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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