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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
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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...
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Convenience Sampling Method00:55

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
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Samples and data accessibility in research biobanks: an explorative survey.

Marco Capocasa1, Paolo Anagnostou1,2, Flavio D'Abramo3

  • 1Istituto Italiano di Antropologia, Rome, Italy.

Peerj
|March 12, 2016
PubMed
Summary

Biobanks offer vital human samples and data for research. While most grant access, economic factors and differing global regulations create varied, often conditional, sharing practices.

Keywords:
BiorepositoryData sharingHuman subjectsOpen scienceResearch ethics

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Area of Science:

  • Biomedical Research
  • Biobanking
  • Data Science

Background:

  • Biobanks are essential for advancing biomedical research by providing human biological samples and data.
  • Effective utilization of biobank resources hinges on accessibility, which can accelerate scientific progress and societal benefits.
  • Despite the recognized importance of open access, some biobanks maintain secretive practices regarding sample and data sharing.

Purpose of the Study:

  • To investigate the accessibility of samples and data in research biobanks globally.
  • To identify common requirements and barriers to accessing biobank resources.
  • To understand the factors influencing the diversity of access policies among biobanks.

Main Methods:

  • A questionnaire-based survey was distributed to research biobanks worldwide.
  • The survey collected information on sample and data accessibility policies from 46 participating biobanks.
  • Analysis focused on the guidelines and requirements for resource access.

Main Results:

  • A high percentage of biobanks permit access to samples (95.7%) and data (85.4%), but free, unconditional access is uncommon.
  • Key access determinants include the need for applicants to justify research proposals, the influence of public/private funding on collaborations, and requests for co-authorship.
  • Significant variation exists in biobank access requirements, influenced by national social contexts and legislation.

Conclusions:

  • Economic and academic considerations significantly impact sample and data sharing practices in biobanks.
  • The diversity in biobank access modalities is largely shaped by the legal and social environments in which they operate.
  • Optimizing biobank accessibility requires addressing financial, academic, and regulatory factors to foster greater research collaboration.