5 datasets found
  1. Research data management in academic institutions: A scoping review

    • plos.figshare.com
    docx
    Updated May 30, 2023
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    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald (2023). Research data management in academic institutions: A scoping review [Dataset]. http://doi.org/10.1371/journal.pone.0178261
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveThe purpose of this study is to describe the volume, topics, and methodological nature of the existing research literature on research data management in academic institutions.Materials and methodsWe conducted a scoping review by searching forty literature databases encompassing a broad range of disciplines from inception to April 2016. We included all study types and data extracted on study design, discipline, data collection tools, and phase of the research data lifecycle.ResultsWe included 301 articles plus 10 companion reports after screening 13,002 titles and abstracts and 654 full-text articles. Most articles (85%) were published from 2010 onwards and conducted within the sciences (86%). More than three-quarters of the articles (78%) reported methods that included interviews, cross-sectional, or case studies. Most articles (68%) included the Giving Access to Data phase of the UK Data Archive Research Data Lifecycle that examines activities such as sharing data. When studies were grouped into five dominant groupings (Stakeholder, Data, Library, Tool/Device, and Publication), data quality emerged as an integral element.ConclusionMost studies relied on self-reports (interviews, surveys) or accounts from an observer (case studies) and we found few studies that collected empirical evidence on activities amongst data producers, particularly those examining the impact of research data management interventions. As well, fewer studies examined research data management at the early phases of research projects. The quality of all research outputs needs attention, from the application of best practices in research data management studies, to data producers depositing data in repositories for long-term use.

  2. Data from: Research data lifecycle.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald (2023). Research data lifecycle. [Dataset]. http://doi.org/10.1371/journal.pone.0178261.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research data lifecycle.

  3. Groupings of articles.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 7, 2023
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    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald (2023). Groupings of articles. [Dataset]. http://doi.org/10.1371/journal.pone.0178261.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Groupings of articles.

  4. U

    Dataset for Life Cycle Assessment in the Building Design Process

    • researchdata.bath.ac.uk
    message/news, txt
    Updated Sep 16, 2020
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    Matt Roberts; Stephen Allen; David Coley (2020). Dataset for Life Cycle Assessment in the Building Design Process [Dataset]. http://doi.org/10.15125/BATH-00804
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    message/news, txtAvailable download formats
    Dataset updated
    Sep 16, 2020
    Dataset provided by
    University of Bath
    Authors
    Matt Roberts; Stephen Allen; David Coley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Dataset funded by
    Engineering and Physical Sciences Research Council
    University of Bath
    Description

    The dataset includes the bibliographic information for all literature retrieved from the associated systematic literature search. The following information are included - which searches were used to acquire the literature, the ability to download the literature and the classification of the literature following the abstract review. The dataset summarizes the literature searches that were completed on December 16, 2019.

  5. U

    Dataset for: Does design-for-deconstruction increase upfront embodied...

    • researchdata.bath.ac.uk
    txt, zip
    Updated Mar 7, 2023
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    Matt Roberts; Stephen Allen; David Coley (2023). Dataset for: Does design-for-deconstruction increase upfront embodied carbon? Life cycle assessment of a deconstructable building [Dataset]. http://doi.org/10.15125/BATH-01053
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    zip, txtAvailable download formats
    Dataset updated
    Mar 7, 2023
    Dataset provided by
    University of Bath
    Authors
    Matt Roberts; Stephen Allen; David Coley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Dataset funded by
    Engineering and Physical Sciences Research Council
    Description

    The dataset has been prepared to summarise the life cycle inventory that has been developed to describe the environmental impacts of the building used as a case study for the study. The life cycle inventory has been prepared by completing a material take-off from the as-built drawings and material specifications for the building. The material take-off has been used to develop quantities and material specifications that can be used to represent the building without knowing the exact details of the building.

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Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald (2023). Research data management in academic institutions: A scoping review [Dataset]. http://doi.org/10.1371/journal.pone.0178261
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Research data management in academic institutions: A scoping review

Explore at:
50 scholarly articles cite this dataset (View in Google Scholar)
docxAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Laure Perrier; Erik Blondal; A. Patricia Ayala; Dylanne Dearborn; Tim Kenny; David Lightfoot; Roger Reka; Mindy Thuna; Leanne Trimble; Heather MacDonald
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

ObjectiveThe purpose of this study is to describe the volume, topics, and methodological nature of the existing research literature on research data management in academic institutions.Materials and methodsWe conducted a scoping review by searching forty literature databases encompassing a broad range of disciplines from inception to April 2016. We included all study types and data extracted on study design, discipline, data collection tools, and phase of the research data lifecycle.ResultsWe included 301 articles plus 10 companion reports after screening 13,002 titles and abstracts and 654 full-text articles. Most articles (85%) were published from 2010 onwards and conducted within the sciences (86%). More than three-quarters of the articles (78%) reported methods that included interviews, cross-sectional, or case studies. Most articles (68%) included the Giving Access to Data phase of the UK Data Archive Research Data Lifecycle that examines activities such as sharing data. When studies were grouped into five dominant groupings (Stakeholder, Data, Library, Tool/Device, and Publication), data quality emerged as an integral element.ConclusionMost studies relied on self-reports (interviews, surveys) or accounts from an observer (case studies) and we found few studies that collected empirical evidence on activities amongst data producers, particularly those examining the impact of research data management interventions. As well, fewer studies examined research data management at the early phases of research projects. The quality of all research outputs needs attention, from the application of best practices in research data management studies, to data producers depositing data in repositories for long-term use.

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