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Data Collection by Survey01:07

Data Collection by Survey

6.8K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
6.8K
Data Collection I01:30

Data Collection I

6.5K
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...
6.5K
Data Collection by Observations01:08

Data Collection by Observations

12.5K
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...
12.5K
Data Collection II01:29

Data Collection II

8.4K
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...
8.4K
Data Collection III01:05

Data Collection III

2.9K
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...
2.9K
Archival Research01:40

Archival Research

16.1K
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...
16.1K

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Updated: Aug 29, 2025

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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Piracema: a Phishing snapshot database for building dataset features.

Julio Cesar Gomes de Barros1, Carlo Marcelo Revoredo da Silva2, Lucas Candeia Teixeira1

  • 1Escola Politécnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, PE, 50720-001, Brazil.

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Summary

This study created a comprehensive phishing database with over 940,000 records from 2016-2021. The organized dataset enhances anti-phishing solutions by providing consistent, balanced, and temporal information on malicious web pages.

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Area of Science:

  • Cybersecurity
  • Data Science
  • Information Security

Background:

  • Phishing attacks pose a significant threat, requiring robust anti-phishing solutions.
  • Existing phishing databases often lack consistency, balance, and integrity.
  • The dynamic nature of phishing necessitates the preservation of temporal data.

Purpose of the Study:

  • To develop a consistent, balanced, and temporally rich phishing database.
  • To address limitations in existing phishing data repositories.
  • To support the advancement of anti-phishing technologies.

Main Methods:

  • Compiled a large-scale dataset of 942,471 phishing records spanning 5 years (2016-2021).
  • Incorporated detailed information including page source code, detected attack target brands, hosting services, and URL shortener services.
  • Included WHOIS information for domains registered in 2021.

Main Results:

  • The database contains 135,542 records with source code, 258,416 with detected brands, and 70,597 with hosting services.
  • 15,008 records identify URL shortener services, and 123,285 include 2021 WHOIS data.
  • The dataset offers a significant volume of consistent and temporally relevant phishing data.

Conclusions:

  • The created phishing database provides a valuable, organized resource for cybersecurity research.
  • This dataset can significantly improve the effectiveness of machine learning and block list-based anti-phishing solutions.
  • The availability of this data repository (https://piracema.io/repository) facilitates further advancements in combating phishing attacks.