Publications by authors named "Peace Ossom-Williamson"

Spurred by the National Institute of Health mandating a data management and sharing plan as a requirement of grant funding, research data management has exploded in importance for librarians supporting researchers and research institutions. This editorial examines the role and direction of libraries in this process from several viewpoints. Key markers of success include collaboration, establishing new relationships, leveraging existing relationships, accessing multiple avenues of communication, and building niche expertise and cachè as a valued and trustworthy partner.

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Objectives: In 2021, a new national center was funded by the National Library of Medicine (NLM) to build capacity for providing data services within health sciences libraries by coordinating, developing, and disseminating trainings, curricular resources, and curated pathways for learning. Research data services has been a growing service component for health sciences libraries for over a decade, and efforts have come from individuals, professional societies, task forces, and interest groups; however, there is still a great deal of unrealized potential in this area as well as growing needs driven by new requirements from funders and publishers and increasing demand from institutions for data science skills and support for data-related research needs.

Methods: The National Center for Data Services (NCDS) was established in July 2021 and is the newest of the Network of the National Library of Medicine (NNLM)'s national offices and centers.

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When millions saw footage of George Floyd's murder by police during the COVID-19 pandemic where marginalized groups had higher death rates, increased awareness and action arose because Black people are treated differently in the United States. Many libraries subsequently created statements and committees to commit to reduce inequities in libraries; however, Black bodies are still being harmed. Therefore, this editorial details the concept and provides concrete steps for making change.

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Background: There is an urgent need for consistent collection of demographic data on COVID-19 morbidity and mortality and sharing it with the public in open and accessible ways. Due to the lack of consistency in data reporting during the initial spread of COVID-19, the Equitable Data Collection and Disclosure on COVID-19 Act was introduced into the Congress that mandates collection and reporting of demographic COVID-19 data on testing, treatments, and deaths by age, sex, race and ethnicity, primary language, socioeconomic status, disability, and county. To our knowledge, no studies have evaluated how COVID-19 demographic data have been collected before and after the introduction of this legislation.

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Background: Health practitioners and researchers must be able to measure and assess maternal care quality in facilities to monitor, intervene, and reduce global maternal mortality rates. On the global scale, there is a general lack of consensus on how maternal care quality is defined, conceptualized, and measured. Much of the literature addressing this problem has focused primarily on defining, conceptualizing, and measuring clinical indicators of maternal care quality.

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Objective: PubMed's provision of MEDLINE and other National Library of Medicine (NLM) resources has made it one of the most widely accessible biomedical resources globally. The growth of PubMed Central (PMC) and public access mandates have affected PubMed's composition. The authors tested recent claims that content in PMC is of low quality and affects PubMed's reliability, while exploring PubMed's role in the current scholarly communications landscape.

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Background: Autism Spectrum Disorder (ASD) and Developmental Coordination Disorder (DCD) are developmental disorders that, since the DSM-5, can be diagnosed as co-occurring conditions. While some recent studies suggest that ASD and DCD have similar traits, others show clear behavioral distinctions between the two conditions. By gathering all studies that included (1) an ASD group and a DCD group, (2) an ASD+DCD group and a DCD group, or (3) ASD, ASD+DCD, and DCD groups, we aimed to identify similarities and differences in behaviors between the two disorders.

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