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  1. Article ; Online: Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan.

    Gonzales, Sara / Carson, Matthew B / Holmes, Kristi

    PLoS computational biology

    2022  Volume 18, Issue 8, Page(s) e1010397

    Abstract: The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH's role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic ... ...

    Abstract The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH's role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic recommendations for the preservation and sharing of research data generated by funded projects. The policy is effective as of January 2023. The recommendations include a requirement for the submission of a Data Management and Sharing Plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing a plan. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.
    MeSH term(s) Biomedical Research ; Data Management ; National Institutes of Health (U.S.) ; United States
    Language English
    Publishing date 2022-08-03
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1010397
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Regionalisation and general practitioner and nurse workforce development in regional northern Australia: Insights from 30 years of census migration data

    Carson, Dean B. / McGrail, Matthew / Sahay, Ashlyn

    Journal of rural studies. 2022 Apr., v. 91

    2022  

    Abstract: The purpose of this research is to investigate the extent to which Australia's northern cities have become increasingly important mediators of migration of nurses and general practitioners (GPs) to the regional north since the 1980s. Over that period, ... ...

    Abstract The purpose of this research is to investigate the extent to which Australia's northern cities have become increasingly important mediators of migration of nurses and general practitioners (GPs) to the regional north since the 1980s. Over that period, national and provincial policy has focused on ‘regionalisation’ of health workforce development, including creating education and training infrastructure outside of metropolitan areas. This paper hypothesises that the effectiveness of regionalisation in northern Australia should be reflected in an increased net flow of GPs and nurses from northern cities (which are the hubs of education and training) to the regional north. Data from the seven Australian Census between 1986 and 2016 are used to model changing patterns of migration. Overall, there was limited evidence of substantial change in migration patterns, although for GPs there was a reduction in migration from the key metropolitan source markets (Brisbane and Adelaide) matching an increase in supply from northern cities. Northern cities have consistently been the source of about one quarter of new nurse and GP migrants to the regional north, but the regional north has become a much less favoured destination for professionals leaving northern cities as cities' populations have grown much faster than regional populations. Net flows have remained small and for nurses have favoured the cities while for GPs favoured the regional north. The paper concludes that, while there is limited evidence of increased ‘spillover’ of labour from the cities to the regional north, there is also no evidence of the cities increasingly ‘spongeing’ regional labour. Cities and regional migration systems may be increasingly disconnected as labour demands diverge, but new connections are being created with the rest of non-metropolitan Australia. The research is the first to analyse health professional migration over such a long period, and contributes to the debates about the roles of cities in sparsely populated areas in the development of their rural and remote hinterlands.
    Keywords education ; infrastructure ; issues and policy ; labor force ; Australia
    Language English
    Dates of publication 2022-04
    Size p. 98-107.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 252458-2
    ISSN 0743-0167
    ISSN 0743-0167
    DOI 10.1016/j.jrurstud.2022.02.005
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan

    Sara Gonzales / Matthew B. Carson / Kristi Holmes

    PLoS Computational Biology, Vol 18, Iss

    2022  Volume 8

    Abstract: The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH’s role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic ... ...

    Abstract The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH’s role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic recommendations for the preservation and sharing of research data generated by funded projects. The policy is effective as of January 2023. The recommendations include a requirement for the submission of a Data Management and Sharing Plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing a plan. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Ten simple rules for maximizing the recommendations of the NIH data management and sharing plan.

    Sara Gonzales / Matthew B Carson / Kristi Holmes

    PLoS Computational Biology, Vol 18, Iss 8, p e

    2022  Volume 1010397

    Abstract: The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH's role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic ... ...

    Abstract The National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS Policy) recognizes the NIH's role as a key steward of United States biomedical research and information and seeks to enhance that stewardship through systematic recommendations for the preservation and sharing of research data generated by funded projects. The policy is effective as of January 2023. The recommendations include a requirement for the submission of a Data Management and Sharing Plan (DMSP) with funding applications, and while no strict template was provided, the NIH has released supplemental draft guidance on elements to consider when developing a plan. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.
    Keywords Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Who gets screened and who tests positive? Drug screening among justice-involved youth in a midwestern urban county.

    Clifton, Richelle L / Carson, Ian / Dir, Allyson L / Tu, Wanzhu / Zapolski, Tamika C B / Aalsma, Matthew C

    Health & justice

    2024  Volume 12, Issue 1, Page(s) 13

    Abstract: Background: Given high rates of substance use among justice-involved youth, justice systems have attempted to monitor use through drug screening (DS) procedures. However, there is discretion in deciding who is screened for substance use, as not every ... ...

    Abstract Background: Given high rates of substance use among justice-involved youth, justice systems have attempted to monitor use through drug screening (DS) procedures. However, there is discretion in deciding who is screened for substance use, as not every youth who encounters the system is screened. The aim of the current study was to examine factors associated with selection for and results of oral DS among justice-involved youth assigned to probation to better inform potential DS policy. Electronic court records from 4,668 youth with first-incident records assigned to probation in a midwestern urban county's juvenile justice system between 2011 and 2016 were included in the analytical sample. Race/ethnicity, gender, age, number of charges and charge type for the current incident were included as independent variables.
    Results: Multivariable hierarchical logistic regression analyses indicated that males were more likely to be assigned to DS (aOR = 0.40, 95%CI [0.34, 0.46]), and more likely to test positive for use (aOR = 0.43, 95% CI [0.34, 0.54]) than females. As age increased, youth were less likely to be assigned to DS (aOR = 0.91, 95% CI [0.87, 0.94]), with non-significant differences in DS results. Greater number of charges were associated with a higher likelihood of being assigned to DS (aOR = 1.55, 95% CI [1.43, 1.68]). Youth with violent offenses were more likely to be assigned to DS than those with other offense types (property offenses, drug offenses, statutory offenses, disorderly conduct, and all other offenses), but less likely to test positive for use.
    Conclusions: Many factors were associated with differences in DS, but these factors were not always associated with differential DS results. Demographic or charge-based decisions may not be appropriate for DS assignment.
    Language English
    Publishing date 2024-04-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2740401-8
    ISSN 2194-7899
    ISSN 2194-7899
    DOI 10.1186/s40352-024-00273-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Bridging the gap

    Matthew B. Carson / Sara Gonzales / Pamela Shaw / Daniel Schneider / Kristi Holmes

    Learning Health Systems, Vol 7, Iss 2, Pp n/a-n/a (2023)

    A library‐based collaboration to enhance data skills for clinical researchers

    2023  

    Abstract: Abstract Introduction Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system‐wide data and making it available for research, strategic, and quality improvement purposes. ...

    Abstract Abstract Introduction Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system‐wide data and making it available for research, strategic, and quality improvement purposes. Building on a longstanding partnership between Northwestern University's Galter Health Sciences Library and the Northwestern Medicine Enterprise Data Warehouse (NMEDW), an end‐to‐end clinical research data management (cRDM) program was created to enhance clinical data workforce capacity and further expand related library‐based services for the campus. Methods The training program covers topics such as clinical database architecture, clinical coding standards, and translation of research questions into queries for proper data extraction. Here we describe this program, including partners and motivations, technical and social components, integration of FAIR principles into clinical data research workflows, and the long‐term implications for this work to serve as a blueprint of best practice workflows for clinical research to support library and EDW partnerships at other institutions. Results This training program has enhanced the partnership between our institution's health sciences library and clinical data warehouse to provide support services for researchers, resulting in more efficient training workflows. Through instruction on best practices for preserving and sharing outputs, researchers are given the tools to improve the reproducibility and reusability of their work, which has positive effects for the researchers as well as for the university. All training resources have been made publicly available so that those who support this critical need at other institutions can build on our efforts. Conclusions Library‐based partnerships to support training and consultation offer an important vehicle for clinical data science capacity building in learning health systems. The cRDM program launched by Galter Library and the NMEDW is an example of this type of ...
    Keywords clinical data warehouse ; data science ; learning health system ; medical informatics ; research data management ; workforce development ; Medicine (General) ; R5-920 ; Public aspects of medicine ; RA1-1270
    Subject code 020
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Brief Report: Prevalence and Severity of Auditory Sensory Over-Responsivity in Autism as Reported by Parents and Caregivers.

    Carson, Tana B / Valente, Matthew J / Wilkes, Bradley J / Richard, Lynne

    Journal of autism and developmental disorders

    2021  Volume 52, Issue 3, Page(s) 1395–1402

    Abstract: Auditory sensory over-responsivity (aSOR) is a frequently reported sensory feature of autism spectrum disorders (ASD); however, there is little consensus regarding its prevalence and severity. This cross-sectional study uses secondary data from the ... ...

    Abstract Auditory sensory over-responsivity (aSOR) is a frequently reported sensory feature of autism spectrum disorders (ASD); however, there is little consensus regarding its prevalence and severity. This cross-sectional study uses secondary data from the Autism Diagnostic Interview-Revised (ADI-R; Item 72: undue sensitivity to noise) housed in the US National Institute of Mental Health Data Archives to identify prevalence and severity of aSOR. Of the 4104 subjects with ASD ages 2-54 (M = 9, SD = 5.8) who responded to item 72, 60.1% (n = 1876) had aSOR currently (i.e., point prevalence) and 71.1% (n = 2221) reported having aSOR ever (i.e., lifetime prevalence). aSOR prevalence and severity were affected by age, but there were no associations with sex.
    MeSH term(s) Adolescent ; Adult ; Autism Spectrum Disorder/diagnosis ; Autistic Disorder/complications ; Caregivers ; Child ; Child, Preschool ; Cross-Sectional Studies ; Humans ; Middle Aged ; Parents/psychology ; Prevalence ; Young Adult
    Language English
    Publishing date 2021-04-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391999-7
    ISSN 1573-3432 ; 0162-3257
    ISSN (online) 1573-3432
    ISSN 0162-3257
    DOI 10.1007/s10803-021-04991-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Physical activity for depression among the chronically Ill: Results from older diabetics in the Irish longitudinal study on ageing.

    Laird, Eamon / Herring, Matthew P / Carson, Brian P / Woods, Catherine B / Walsh, Cathal / Kenny, Rose Anne / Rasmussen, Charlotte Lund

    Psychiatry research

    2023  Volume 326, Page(s) 115274

    Abstract: Among chronically-ill older adults, the benefits of moderate-to-vigorous physical activity (MVPA) are established. Comorbid depressive symptoms and Major Depression are prevalent among the chronically-ill, but how different doses of MVPA may protect ... ...

    Abstract Among chronically-ill older adults, the benefits of moderate-to-vigorous physical activity (MVPA) are established. Comorbid depressive symptoms and Major Depression are prevalent among the chronically-ill, but how different doses of MVPA may protect against depression remains understudied. Thus, using 10 years of data from The Irish Longitudinal Study on Ageing, we quantified longitudinal associations between MVPA doses and depressive symptoms and Major Depression among chronically-ill older adults living with type 2 diabetes (T2DM). Continuous MVPA (MET.min.week
    MeSH term(s) Humans ; Aged ; Longitudinal Studies ; Depression/epidemiology ; Depression/diagnosis ; Depressive Disorder, Major/epidemiology ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/epidemiology ; Exercise ; Aging
    Language English
    Publishing date 2023-05-29
    Publishing country Ireland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 445361-x
    ISSN 1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
    ISSN (online) 1872-7123 ; 1872-7506
    ISSN 0925-4927 ; 0165-1781
    DOI 10.1016/j.psychres.2023.115274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Bridging the gap: A library-based collaboration to enhance data skills for clinical researchers.

    Carson, Matthew B / Gonzales, Sara / Shaw, Pamela / Schneider, Daniel / Holmes, Kristi

    Learning health systems

    2022  Volume 7, Issue 2, Page(s) e10339

    Abstract: Introduction: Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system-wide data and making it available for research, strategic, and quality improvement purposes. ... ...

    Abstract Introduction: Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system-wide data and making it available for research, strategic, and quality improvement purposes. Building on a longstanding partnership between Northwestern University's Galter Health Sciences Library and the Northwestern Medicine Enterprise Data Warehouse (NMEDW), an end-to-end clinical research data management (cRDM) program was created to enhance clinical data workforce capacity and further expand related library-based services for the campus.
    Methods: The training program covers topics such as clinical database architecture, clinical coding standards, and translation of research questions into queries for proper data extraction. Here we describe this program, including partners and motivations, technical and social components, integration of FAIR principles into clinical data research workflows, and the long-term implications for this work to serve as a blueprint of best practice workflows for clinical research to support library and EDW partnerships at other institutions.
    Results: This training program has enhanced the partnership between our institution's health sciences library and clinical data warehouse to provide support services for researchers, resulting in more efficient training workflows. Through instruction on best practices for preserving and sharing outputs, researchers are given the tools to improve the reproducibility and reusability of their work, which has positive effects for the researchers as well as for the university. All training resources have been made publicly available so that those who support this critical need at other institutions can build on our efforts.
    Conclusions: Library-based partnerships to support training and consultation offer an important vehicle for clinical data science capacity building in learning health systems. The cRDM program launched by Galter Library and the NMEDW is an example of this type of partnership and builds on a strong foundation of past collaboration, expanding the scope of clinical data support services and training on campus.
    Language English
    Publishing date 2022-09-06
    Publishing country United States
    Document type Journal Article
    ISSN 2379-6146
    ISSN (online) 2379-6146
    DOI 10.1002/lrh2.10339
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Ten simple rules for organizations to support research data sharing.

    Champieux, Robin / Solomonides, Anthony / Conte, Marisa / Rojevsky, Svetlana / Phuong, Jimmy / Dorr, David A / Zampino, Elizabeth / Wilcox, Adam / Carson, Matthew B / Holmes, Kristi

    PLoS computational biology

    2023  Volume 19, Issue 6, Page(s) e1011136

    MeSH term(s) Information Dissemination
    Language English
    Publishing date 2023-06-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1011136
    Database MEDical Literature Analysis and Retrieval System OnLINE

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