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Data Reporting and Recording01:24

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Establishing an early indicator for data sharing and reuse.

Agata Piękniewska1, Laurel L Haak2, Darla Henderson3

  • 1SciCrunch, San Diego, California, USA.

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Tracking research data sharing and reuse is vital. Mentions of research resources, databases, and repositories (RDRs) in publications serve as a useful proxy for measuring this activity.

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Area of Science:

  • Biomedical and biological sciences
  • Scholarly communication
  • Data science

Background:

  • Stakeholders require metrics to assess data sharing and reuse policies.
  • The NIH Data Management and Sharing Policy necessitates baseline data for 2023.
  • Measuring data sharing and reuse is crucial for policy impact evaluation.

Purpose of the Study:

  • To evaluate research resource, database, and repository (RDR) mentions as a proxy for data sharing and reuse.
  • To establish a baseline of data sharing and reuse activity in the biological and biomedical fields.
  • To inform authors and publishers on promoting data sharing practices.

Main Methods:

  • Natural language processing (NLP) was used to identify RDR mentions.
  • Text from Methods sections of open access articles (2020-2021) in PubMed Central was analyzed.
  • A methodology for normalizing RDR mention data was developed.

Main Results:

  • Normalized baseline data for RDR mentions were generated for 2020-2021.
  • The study demonstrates the utility of RDR mentions as a proxy for data sharing and reuse.
  • Identified trends in data sharing and reuse within the biological and biomedical research community.

Conclusions:

  • Mentions of RDRs provide a viable method for tracking data sharing and reuse.
  • Baseline data are essential for evaluating the impact of the NIH Data Management and Sharing Policy.
  • Authors and publishers can implement strategies to enhance data sharing and reuse visibility.