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Related Concept Videos

Data Collection II01:29

Data Collection II

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 family,...
Data Collection I01:30

Data Collection I

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 data...
Data Collection by Observations01:08

Data Collection by Observations

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.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection by Experiments01:13

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public clinical trial...
Data Collection III01:05

Data Collection III

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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...

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Related Experiment Videos

Data curation + process curation=data integration + science.

Carole Goble1, Robert Stevens, Duncan Hull

  • 1School of Computer Science, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

Briefings in Bioinformatics
|December 9, 2008
PubMed
Summary
This summary is machine-generated.

Bioinformaticians often overlook process curation, hindering data integration. Improved semantic annotation of bioinformatics processes and workflows is vital for efficient data analysis and reuse in modern biological research.

Related Experiment Videos

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Life Sciences

Background:

  • Data integration in bioinformatics relies on curated data.
  • The curation and cataloguing of analysis processes are often neglected.
  • Programmatic access to services enables the creation of in silico experiments.

Purpose of the Study:

  • To highlight the importance of curating and cataloguing bioinformatics processes.
  • To discuss the challenges in finding and understanding available services and workflows.
  • To advocate for semantic annotation to improve process discoverability and reusability.

Main Methods:

  • Discusses the concept of programmatic access to data and process services.
  • Explores the role of workflows in data integration.
  • Examines the impact of service naming, documentation, and semantic markup on usability.

Main Results:

  • Lack of process curation leads to difficulties in finding and using bioinformatics services and workflows.
  • Workflows, as composite processes, are underutilized due to poor discoverability and understanding.
  • Semantic annotation is crucial for enabling processes to be found, maintained, and reused.

Conclusions:

  • Effective process curation, including semantic markup, is essential for full data integration in biology.
  • Addressing challenges in process curation is vital for advancing modern scientific analyses.
  • This article provides an overview of the state-of-the-art and challenges in process curation within and beyond the Life Sciences.