“BASICS OF DATA ENTRY IN RESEARCH”
Dr.Simran Zore (II MDS)
Dr.Parimala R (III MDS)
Department of Public Health Dentistry
KLES Institute of Dental Sciences,Bengaluru
INTRODUCTION
• Statistics is a fundamental tool in research that enables the researcher
to make use of complex data and draw meaningful conclusions.
• Researchers can independently structure and process the data for basic
statistics without necessarily relying on a statistician.
• Data entry is one of the fundamental step that can be performed by
the researcher themselves.
● The steps in statistical work -
Data Analysis and
Interpretation
DATA
● COLLECTION OF RAW FACTS
●
Data Collection - process of gathering information
from different sources.
SOURCES OF DATA
Primary Data –
• Information collected directly from
source.
• Data collected for very 1st
time.
Secondary Data –
• Data collected by someone else and
are used by another researcher.
• Data collected in the past.
TYPES OF DATA
1. NN
Qualitative Quantitative
Nominal Ordinal Discrete
Contin
uous
Grouped
Ungrouped
Data entry involves inputting, updating, and managing data within
various systems or databases.
Data Entry
Entering
Information
Updating
Records
Data
Verification
Organizing
Data
Generating
Reports
Data Input Methods
● Data entry methods can vary based on the type of data, the tools
available, and the specific requirements of the task.
Manual Auto
mated Voice
Data
Capture
forms
Optical
Character
Recognition
(OCR)
Barcodes
And
OR codes
Tools Used For Data Entry
● There are several tools commonly used for data entry, each with its
own features and benefits.
NEED FOR SPREADSHEET
● Spreadsheets provide a grid-based structure.
● Ensures that data is input consistently and accurately.
● As data is entered, automatically update calculations and summaries in
real time.
● Provide tools for identifying and correcting errors.
● Can integrate with other software and databases, facilitating the import
and export of data.
Introduction To Microsoft Excel
● MS-EXCEL is a part of Microsoft Office suite software.
● It is an electronic spreadsheet with numerous rows and columns.
● Used for organizing data, graphically representing data(s), and
performing different calculations.
Features Of Microsoft Excel
● Spreadsheets and Data Organization
● Formulas and Functions
● Data Visualization
● Conditional Formatting
● Data Sorting and Filtering
● Data Import and Export
Anatomy of a Spreadsheet
ACKNOWLEDGEMENTS
• Principal: Dr.Srivatsa G
• Vice principal: Dr.Praveen B.N
• IDM Coordinator: Dr. Prashanth B.R
• Department of Public Health Dentistry: Dr.B K Srivastava,
Dr. Shruthi Eshwar, Dr.Aarya Bharadwaj, Dr. Nikhil Suresh
• Heads and staff of other specialties
• Techical support: Mr. Anjanappa,Mr.Hedge and Team

Basic of Data entry in research and Excell sheet in detiles

  • 1.
    “BASICS OF DATAENTRY IN RESEARCH” Dr.Simran Zore (II MDS) Dr.Parimala R (III MDS) Department of Public Health Dentistry KLES Institute of Dental Sciences,Bengaluru
  • 2.
    INTRODUCTION • Statistics isa fundamental tool in research that enables the researcher to make use of complex data and draw meaningful conclusions. • Researchers can independently structure and process the data for basic statistics without necessarily relying on a statistician. • Data entry is one of the fundamental step that can be performed by the researcher themselves.
  • 3.
    ● The stepsin statistical work - Data Analysis and Interpretation
  • 4.
    DATA ● COLLECTION OFRAW FACTS ● Data Collection - process of gathering information from different sources. SOURCES OF DATA Primary Data – • Information collected directly from source. • Data collected for very 1st time. Secondary Data – • Data collected by someone else and are used by another researcher. • Data collected in the past.
  • 5.
    TYPES OF DATA 1.NN Qualitative Quantitative Nominal Ordinal Discrete Contin uous Grouped Ungrouped
  • 6.
    Data entry involvesinputting, updating, and managing data within various systems or databases. Data Entry Entering Information Updating Records Data Verification Organizing Data Generating Reports
  • 7.
    Data Input Methods ●Data entry methods can vary based on the type of data, the tools available, and the specific requirements of the task. Manual Auto mated Voice Data Capture forms Optical Character Recognition (OCR) Barcodes And OR codes
  • 8.
    Tools Used ForData Entry ● There are several tools commonly used for data entry, each with its own features and benefits.
  • 9.
    NEED FOR SPREADSHEET ●Spreadsheets provide a grid-based structure. ● Ensures that data is input consistently and accurately. ● As data is entered, automatically update calculations and summaries in real time. ● Provide tools for identifying and correcting errors. ● Can integrate with other software and databases, facilitating the import and export of data.
  • 10.
    Introduction To MicrosoftExcel ● MS-EXCEL is a part of Microsoft Office suite software. ● It is an electronic spreadsheet with numerous rows and columns. ● Used for organizing data, graphically representing data(s), and performing different calculations.
  • 11.
    Features Of MicrosoftExcel ● Spreadsheets and Data Organization ● Formulas and Functions ● Data Visualization ● Conditional Formatting ● Data Sorting and Filtering ● Data Import and Export
  • 12.
    Anatomy of aSpreadsheet
  • 13.
    ACKNOWLEDGEMENTS • Principal: Dr.SrivatsaG • Vice principal: Dr.Praveen B.N • IDM Coordinator: Dr. Prashanth B.R • Department of Public Health Dentistry: Dr.B K Srivastava, Dr. Shruthi Eshwar, Dr.Aarya Bharadwaj, Dr. Nikhil Suresh • Heads and staff of other specialties • Techical support: Mr. Anjanappa,Mr.Hedge and Team

Editor's Notes

  • #4 DATA IS A COLLECTION OF RAW FACTS such as: Numbers Words Measurements Observations or just description of things Data refers to the information available in basic,pure,unprocessed or unorganized form.
  • #5 QUALITATIVE DATA- is known as enumeration data Cannot be naturally expressed in numerical values. Qunatitative data ia also known as meausrement data-can be expressed in numerical value. Nominal data-simplest type of data –which is unordered categories Ordinal data-data can be ordered . Continuous data-data for which an unlimited number of possible values exists. has a decimal point. Discrete data-expressed in whole numbers Grouped data-data are presented after being organized and divided into different groups or categories Ungrouped data-presented individually,rather than in groups can be arranged in asscending or descending order but not in groups
  • #6 Entering information: Typing data from various sources into digital systems, such as spreadsheets or databases. Updating records: Changing or correcting information in existing records. Data verification: Ensuring that the data entered is accurate and complete. Organizing data: Structuring data in a way that makes it easy to retrieve and use. Generating reports: Extracting and summarizing data for analysis or presentation.
  • #7 Automatically importing data from files (e.g., CSV, Excel) into databases or systems. Optical Character Recognition (OCR) Scanned Documents: Converting printed or handwritten text from scanned images into editable digital text using OCR software.
  • #10 1982: Microsoft first introduced Multiplan, a popular CP/M (Control Program for Microcomputers) spreadsheet program. 1985: Microsoft released the first version of Excel for the Macintosh. 1987: Microsoft released the first version of Excel for Windows. oday: Excel continues to adapt to business needs and technology trends, with a focus on cloud-based computing and multi-user access.