1,720,976 research outputs found
A Qualitative Study of Academic Data-Related Librarians in Canada
The 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
This 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
Data 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
The 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
A Survey Dataset of Health Sciences Librarians’ Attitudes and Behaviours on Research Data Management and Sharing of Knowledge Synthesis Search Strategies
This study investigated the perspectives of Canadian health sciences librarians on the research data management aspects of knowledge synthesis search strategies and the potential barriers they may face. The specific research questions guiding the project include:
RQ1: What are health sciences librarians’ perspectives on retaining intellectual ownership and control over their contributions to knowledge synthesis?
RQ2: Where do they publish or share their contributions (e.g., search strategies)?
RQ3: What are health sciences librarians’ perspectives on applying research data management (RDM) competencies and practices to their intellectual work regarding knowledge synthesis projects?
To address these research questions, we developed and implemented a survey of health science librarians across Canada in 2024.
This dataset contains a README file (TXT), documentation (PDFs), the anonymized quantiative dataset (CSV and TAB), R markdown notebook scripts to produce the figures (RMD), and the anonymized qualitative responses and analysis codes (CSV and TAB), as well as a codebook for the qualitative analysis
Methane emission rate measurements from non-producing oil and gas wells in Canada
The dataset contains methane emission rate (mg/hr) measurements collected from non-producing wells between 2018 and 2023 across five Canadian provinces (Alberta, British Columbia, Ontario, Quebec, and Saskatchewan). All measurements were performed using the static chamber methodology, as described in the Supporting Information (SI-3) of the related publication. In Alberta and Saskatchewan, we measured the wellhead infrastructure and the surface casing vent separately (see column “Component”). We include the well attributes investigated in our study (i.e., type, status, operator, wellbore deviation, well depth (meters), age (years) and well density (wells/km2)). Refer to the Supporting Information (SI-1) of the related publication for more details on well attribute definition and classification
Characterizing multifaceted environmental risks of oil and gas well leakage through soil and well methane and hydrogen sulfide emissions
Oil and gas wells (OGWs) can lead to soil and well emissions of methane (CH4), a potent greenhouse gas, and hydrogen sulfide (H2S), a highly toxic gas, both of which reduce air quality and can cause explosions when emitted into confined spaces. Developments have been occurring over OGWs, posing health and safety risks. However, to our knowledge, previous studies have not conjunctively analyzed well and soil emissions while considering development on or near OGWs. In this paper, we characterize 343 CH4 and H2S emission rate measurements from 67 non-producing (abandoned) and 35 producing (active) OGWs, including 205 measurements from soils surrounding 81 OGWs in Ontario and Quebec. We also provide the first emission rate estimates from an abandoned water and OGW-linked explosion and map OGWs in urban and built-up areas in Ontario and Quebec. We estimate the explosion-linked emissions to be 3,000 g CH4/hour and 7 g H2S/hour. Moreover, we find that 7,264 and 161 OGWs in Ontario and Quebec, respectively, are in urban and built-up areas, with 94% of these wells being abandoned. For the 102 wells we measured, of which 9.7% had H2S detections, we find OGW emission rate ranges of −16 to 47,000 mg CH4/hour and 0.001 to 3,300 mg H2S/hour. Although soil CH4 emissions at a 1-m distance from the wells are most correlated with well emissions, the highest soil emission rate was observed at a 3-m distance, indicating the potential for OGW-related emissions into buildings to occur away from the well. Overall, our multi-faceted measurement dataset provides a basis for conjunctive analysis of the broad range of environmental risks of OGWs to climate, indoor and outdoor air quality, and explosions. Methane emission rate measurements at wells by measurement date, well mode, and volumetric gas production rate
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Pilot study: Schlieren imaging of heat recovery ventilation loops (house within a house)
Pilot study: Schlieren imaging of heat recovery ventilation loops (house within a house
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