SlideShare a Scribd company logo
1 of 17
Characteristics of
Information
TRIBHUVAN
UNIVERSITY
Department:
Library
& Information
Science
Class:
(MLIS)
Paper:
Library& Society
Unit
No. 7
A d h i k ari
Mahendra Prasad
Roll. 2 0
Origin /source ļ‚® Message ļ‚® Medium ļ‚®
Recipient
Presented
By:
What is information
?
ā€¢ Information is the act of telling or imparting
knowledge.
ā€¢ Information is facts communicated or learned.
ā€¢ Information is interpreting data to make it useful.
ā€¢ Information is knowledge acquired from others.
ā€¢ Information is all about facts and figures.
ā€¢ Information is the lifeblood of society of the 21st
century.
ā€¢ Information is power.
Types of
information
ā€¢ News
ā€¢ Ideas and opinions
ā€¢ Research results
ā€¢ Routine information, like flight timetable,
phone numbers, maps, etc.
ā€¢ History or background information
ā€¢ Fact and figures
ā€¢ Technical information
ā€¢ Legal information , etc.
ā€¢ Documentary/ Non-documentary, Audio/
video
Characteristics of information
Origin /source ļ‚® Message ļ‚®
Medium ļ‚® Recipient
Relevant/Appropriateness:
Completeness:
Availability / Accessibility:
Reliability: (Reasonable)
ā€¢ Biasfree / Impartiality:
Fact /Accuracy
ā€¢ Comprehensiveness /Understandable: ā€¢ Validity/ authentic
ā€¢ ā€¢
ā€¢ ā€¢
ā€¢ ā€¢
ā€¢ ā€¢
ā€¢
ā€¢
ā€¢
Verifiability
Currency / current / updated
Breadth of coverage
Format
Medium
Communicability
ā€¢ Concise: (not more/ not less)
ā€¢ Timeliness: (not delay)
ā€¢ Flexibility:(easy to change suitable form) ā€¢
ā€¢ Explicitness: (no need to analysis)
Recipient
ā€¢ Adaptability
ā€¢ Cost-effectiveness:
Nature of
information
ā€¢ Approaches to information
ā€“ Structural approach
ā€“ Knowledge approach
ā€“ Message approach
ā€¢ Nature by kind
ā€“ Semantic information (as a
message)
ā€“ Semantic information ( as a
process)
ā€“ Documentary information
ā€¢ Nature base on usersā€™ approach
ā€¢ Commodity approach
ā€“ Commodity
ā€“ Process
ā€“ State of knowing
ā€“ Environment
Natural Characteristics of information
1. Exponential Growth
a. Doubling of Knowledge
2. Information is cumulative
a. Gathering of information
b. Storing information
c. Application
d. Generating information
3. Information is inter-disciplinary
a. Typology of inter-disciplinary
4. Information is scatter
a. In related and unrelated disciplines
b. Utility in relation to scatter
5. Information is a resource for future
a. A natural resource
b. Information is the major criterion
c. Information is a commodity
Understandab
le:
Since information is already in a
summarized form, it must be understood
by the receiver so that he will interpret it
correctly. He must be able to decode any
abbreviations, shorthand notations or any
other acronyms contained in the
information.
Relevan
t:
ā€¢ Information is good only if it is relevant.
This means that it should be pertinent
and meaningful to the decision maker
and should be in his area of
responsibility.
Complet
e:
It should contain all the facts that are
necessary for the decision maker to
satisfactorily solve the problem at hand
using such information.
Nothing important should be left out.
Although information cannot always be
complete, every reasonable effort should
be made to obtain it.
Availabl
e:
Information may be useless if it is not readily
accessible ā€˜ in the desired form, when it is
needed. Advances in technology have made
information more accessible today than ever
before.
Reliabl
e:
The information should be counted on to
be trustworthy. It should be accurate,
consistent with facts and verifiable.
Inadequate or incorrect information
generally leads to decisions of poor
quality. For example, sales figures that
have not been adjusted for returns and
refunds are not reliable.
Concis
e:
Too much information is a big burden on
management and cannot be processed in
time and accurately due to ā€œbounded
rationalityā€.
Bounded rationality determines the limits of
the thinking process which cannot sort out
and process large amounts of information.
Accordingly, information should be to the
point and just enough ā€“ no more, no less.
Timel
y:
ā€¢ Information must be delivered at the right time
and the right place to the right person.
Premature information can become obsolete
or be forgotten by the time it is actually
needed.
ā€¢ Similarly, some crucial decisions can be
delayed because proper and necessary
information is not available in time, resulting
in missed opportunities. Accordingly the
time gap between collection of data and the
presentation of the proper information to the
decision maker must be reduced as much
as possible.
Cost-
effective:
The information is not desirable if the
solution is more costly than the problem.
The cost of gathering data and processing it
into information must be weighed against
the benefits derived from using such
information.
Flexibilit
y:
The business and economic environment is
highly dynamic in nature. Technological
changes occur very fast. A rigid control
system would not be suitable for a changing
environment. These changes highlight the
need for flexibility in planning as well as in
control.
Explicitnes
s:
ā€¢ Information is said to be of good quality
if it does not require further analysis by
the recipients for carrying out their
activities.
Bias /
Impartiality:
ā€¢ Impartial information contains no bias and
has to be collected without any distorted
view of the situation.

More Related Content

Similar to characteristicsofinformation.pptx

Dr_JamesTJ_collectionofdatathroughschedules.pdf
Dr_JamesTJ_collectionofdatathroughschedules.pdfDr_JamesTJ_collectionofdatathroughschedules.pdf
Dr_JamesTJ_collectionofdatathroughschedules.pdfMominMohammadali2
Ā 
Quality and value of information & Information overload
Quality and value of information & Information overloadQuality and value of information & Information overload
Quality and value of information & Information overloadMohammed Jasir PV
Ā 
Recovered file 1
Recovered file 1Recovered file 1
Recovered file 1siragezeynu
Ā 
Information resource management (assignment p pt)
Information resource management (assignment p pt)Information resource management (assignment p pt)
Information resource management (assignment p pt)Muhammed Kedir Hiko
Ā 
Data Collection Methods_Seminar.pptx
Data Collection Methods_Seminar.pptxData Collection Methods_Seminar.pptx
Data Collection Methods_Seminar.pptxShruthiMalipatil1
Ā 
CHAPTER 1-Overview of Info..pptx
CHAPTER 1-Overview of Info..pptxCHAPTER 1-Overview of Info..pptx
CHAPTER 1-Overview of Info..pptxNURFAZLINAHARIS
Ā 
Tailoring information literacy instruction using the information discernment ...
Tailoring information literacy instruction using the information discernment ...Tailoring information literacy instruction using the information discernment ...
Tailoring information literacy instruction using the information discernment ...IL Group (CILIP Information Literacy Group)
Ā 
Biostatistics Data
Biostatistics DataBiostatistics Data
Biostatistics DataMARIAPPANM4
Ā 
introduction of research.pptx
introduction of research.pptxintroduction of research.pptx
introduction of research.pptxNishuChauhan22
Ā 
Data collection f488555b7cca4b22cd8bcc61db2c2238
Data collection f488555b7cca4b22cd8bcc61db2c2238Data collection f488555b7cca4b22cd8bcc61db2c2238
Data collection f488555b7cca4b22cd8bcc61db2c2238KƦsy Chaudhari
Ā 
Information overload - MIS
Information overload - MISInformation overload - MIS
Information overload - MISMohammed Jasir PV
Ā 
Why should I care about information literacy?
Why should I care about information literacy? Why should I care about information literacy?
Why should I care about information literacy? nmjb
Ā 
DATA ANALYSIS in research methodology (1)-1.pptx
DATA ANALYSIS in research methodology (1)-1.pptxDATA ANALYSIS in research methodology (1)-1.pptx
DATA ANALYSIS in research methodology (1)-1.pptxSuyogpatil86
Ā 
W1-Unit-1-Intro-info-fluency-81313-326pm
W1-Unit-1-Intro-info-fluency-81313-326pmW1-Unit-1-Intro-info-fluency-81313-326pm
W1-Unit-1-Intro-info-fluency-81313-326pmJill McKeon
Ā 
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)Information Transparency: A Universal Optimization Driver (NYBPP Meetup)
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)Samuel Chin, PMP, CSM
Ā 
biostatistics for eving degree N&M recentstudent2.ppt
biostatistics for eving degree N&M  recentstudent2.pptbiostatistics for eving degree N&M  recentstudent2.ppt
biostatistics for eving degree N&M recentstudent2.pptFatima117039
Ā 

Similar to characteristicsofinformation.pptx (20)

Dr_JamesTJ_collectionofdatathroughschedules.pdf
Dr_JamesTJ_collectionofdatathroughschedules.pdfDr_JamesTJ_collectionofdatathroughschedules.pdf
Dr_JamesTJ_collectionofdatathroughschedules.pdf
Ā 
LESSON 3 EDITED.pdf
LESSON 3 EDITED.pdfLESSON 3 EDITED.pdf
LESSON 3 EDITED.pdf
Ā 
Quality and value of information & Information overload
Quality and value of information & Information overloadQuality and value of information & Information overload
Quality and value of information & Information overload
Ā 
Recovered file 1
Recovered file 1Recovered file 1
Recovered file 1
Ā 
Information resource management (assignment p pt)
Information resource management (assignment p pt)Information resource management (assignment p pt)
Information resource management (assignment p pt)
Ā 
Edla615
Edla615Edla615
Edla615
Ā 
Data Collection Methods_Seminar.pptx
Data Collection Methods_Seminar.pptxData Collection Methods_Seminar.pptx
Data Collection Methods_Seminar.pptx
Ā 
CHAPTER 1-Overview of Info..pptx
CHAPTER 1-Overview of Info..pptxCHAPTER 1-Overview of Info..pptx
CHAPTER 1-Overview of Info..pptx
Ā 
Ub d chapter 13
Ub d chapter 13Ub d chapter 13
Ub d chapter 13
Ā 
Tailoring information literacy instruction using the information discernment ...
Tailoring information literacy instruction using the information discernment ...Tailoring information literacy instruction using the information discernment ...
Tailoring information literacy instruction using the information discernment ...
Ā 
Biostatistics Data
Biostatistics DataBiostatistics Data
Biostatistics Data
Ā 
introduction of research.pptx
introduction of research.pptxintroduction of research.pptx
introduction of research.pptx
Ā 
Data collection f488555b7cca4b22cd8bcc61db2c2238
Data collection f488555b7cca4b22cd8bcc61db2c2238Data collection f488555b7cca4b22cd8bcc61db2c2238
Data collection f488555b7cca4b22cd8bcc61db2c2238
Ā 
Information overload - MIS
Information overload - MISInformation overload - MIS
Information overload - MIS
Ā 
Why should I care about information literacy?
Why should I care about information literacy? Why should I care about information literacy?
Why should I care about information literacy?
Ā 
DATA ANALYSIS in research methodology (1)-1.pptx
DATA ANALYSIS in research methodology (1)-1.pptxDATA ANALYSIS in research methodology (1)-1.pptx
DATA ANALYSIS in research methodology (1)-1.pptx
Ā 
Mis (1)
Mis (1)Mis (1)
Mis (1)
Ā 
W1-Unit-1-Intro-info-fluency-81313-326pm
W1-Unit-1-Intro-info-fluency-81313-326pmW1-Unit-1-Intro-info-fluency-81313-326pm
W1-Unit-1-Intro-info-fluency-81313-326pm
Ā 
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)Information Transparency: A Universal Optimization Driver (NYBPP Meetup)
Information Transparency: A Universal Optimization Driver (NYBPP Meetup)
Ā 
biostatistics for eving degree N&M recentstudent2.ppt
biostatistics for eving degree N&M  recentstudent2.pptbiostatistics for eving degree N&M  recentstudent2.ppt
biostatistics for eving degree N&M recentstudent2.ppt
Ā 

More from soniasehrawat5

Graphical representation of Data in Research.pdf
Graphical representation of Data in Research.pdfGraphical representation of Data in Research.pdf
Graphical representation of Data in Research.pdfsoniasehrawat5
Ā 
Measure of Central Tendency.pptx
Measure of Central Tendency.pptxMeasure of Central Tendency.pptx
Measure of Central Tendency.pptxsoniasehrawat5
Ā 
7 sol classification devices 5.2.23.pdf
7 sol classification devices 5.2.23.pdf7 sol classification devices 5.2.23.pdf
7 sol classification devices 5.2.23.pdfsoniasehrawat5
Ā 
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdfsoniasehrawat5
Ā 
deweydecimalclassification-160226140455.pptx
deweydecimalclassification-160226140455.pptxdeweydecimalclassification-160226140455.pptx
deweydecimalclassification-160226140455.pptxsoniasehrawat5
Ā 
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsxsoniasehrawat5
Ā 
professionalethicsfinal-111119055951-phpapp01.pptx
professionalethicsfinal-111119055951-phpapp01.pptxprofessionalethicsfinal-111119055951-phpapp01.pptx
professionalethicsfinal-111119055951-phpapp01.pptxsoniasehrawat5
Ā 
National Knowledge Commission NKC.ppt
National Knowledge Commission NKC.pptNational Knowledge Commission NKC.ppt
National Knowledge Commission NKC.pptsoniasehrawat5
Ā 
R.S Ranaganathan's Colon.pptx
R.S Ranaganathan's Colon.pptxR.S Ranaganathan's Colon.pptx
R.S Ranaganathan's Colon.pptxsoniasehrawat5
Ā 

More from soniasehrawat5 (11)

Graphical representation of Data in Research.pdf
Graphical representation of Data in Research.pdfGraphical representation of Data in Research.pdf
Graphical representation of Data in Research.pdf
Ā 
Measure of Central Tendency.pptx
Measure of Central Tendency.pptxMeasure of Central Tendency.pptx
Measure of Central Tendency.pptx
Ā 
7 sol classification devices 5.2.23.pdf
7 sol classification devices 5.2.23.pdf7 sol classification devices 5.2.23.pdf
7 sol classification devices 5.2.23.pdf
Ā 
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf
1679896001942_1679895959336_12.3.23 SOL UDC 11.pdf
Ā 
ASLIB.ppt
ASLIB.pptASLIB.ppt
ASLIB.ppt
Ā 
ILA.ppt
ILA.pptILA.ppt
ILA.ppt
Ā 
deweydecimalclassification-160226140455.pptx
deweydecimalclassification-160226140455.pptxdeweydecimalclassification-160226140455.pptx
deweydecimalclassification-160226140455.pptx
Ā 
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx
15 JAN 2023 BLIS CLASS DR. PRASHANT SHRIVASTAVA.ppsx
Ā 
professionalethicsfinal-111119055951-phpapp01.pptx
professionalethicsfinal-111119055951-phpapp01.pptxprofessionalethicsfinal-111119055951-phpapp01.pptx
professionalethicsfinal-111119055951-phpapp01.pptx
Ā 
National Knowledge Commission NKC.ppt
National Knowledge Commission NKC.pptNational Knowledge Commission NKC.ppt
National Knowledge Commission NKC.ppt
Ā 
R.S Ranaganathan's Colon.pptx
R.S Ranaganathan's Colon.pptxR.S Ranaganathan's Colon.pptx
R.S Ranaganathan's Colon.pptx
Ā 

Recently uploaded

How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
Ā 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
Ā 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptxPoojaSen20
Ā 
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdfssuser54595a
Ā 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
Ā 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
Ā 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
Ā 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersChitralekhaTherkar
Ā 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
Ā 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
Ā 
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
Ā 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
Ā 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
Ā 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
Ā 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
Ā 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
Ā 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
Ā 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
Ā 

Recently uploaded (20)

How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
Ā 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
Ā 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptx
Ā 
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAŠ”Y_INDEX-DM_23-1-final-eng.pdf
Ā 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
Ā 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Ā 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
Ā 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of Powders
Ā 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
Ā 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Ā 
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
ā€œOh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
Ā 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
Ā 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
Ā 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
Ā 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
Ā 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
Ā 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
Ā 
Model Call Girl in Tilak Nagar Delhi reach out to us at šŸ”9953056974šŸ”
Model Call Girl in Tilak Nagar Delhi reach out to us at šŸ”9953056974šŸ”Model Call Girl in Tilak Nagar Delhi reach out to us at šŸ”9953056974šŸ”
Model Call Girl in Tilak Nagar Delhi reach out to us at šŸ”9953056974šŸ”
Ā 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
Ā 
Model Call Girl in Bikash Puri Delhi reach out to us at šŸ”9953056974šŸ”
Model Call Girl in Bikash Puri  Delhi reach out to us at šŸ”9953056974šŸ”Model Call Girl in Bikash Puri  Delhi reach out to us at šŸ”9953056974šŸ”
Model Call Girl in Bikash Puri Delhi reach out to us at šŸ”9953056974šŸ”
Ā 

characteristicsofinformation.pptx

  • 1. Characteristics of Information TRIBHUVAN UNIVERSITY Department: Library & Information Science Class: (MLIS) Paper: Library& Society Unit No. 7 A d h i k ari Mahendra Prasad Roll. 2 0 Origin /source ļ‚® Message ļ‚® Medium ļ‚® Recipient Presented By:
  • 2. What is information ? ā€¢ Information is the act of telling or imparting knowledge. ā€¢ Information is facts communicated or learned. ā€¢ Information is interpreting data to make it useful. ā€¢ Information is knowledge acquired from others. ā€¢ Information is all about facts and figures. ā€¢ Information is the lifeblood of society of the 21st century. ā€¢ Information is power.
  • 3. Types of information ā€¢ News ā€¢ Ideas and opinions ā€¢ Research results ā€¢ Routine information, like flight timetable, phone numbers, maps, etc. ā€¢ History or background information ā€¢ Fact and figures ā€¢ Technical information ā€¢ Legal information , etc. ā€¢ Documentary/ Non-documentary, Audio/ video
  • 4. Characteristics of information Origin /source ļ‚® Message ļ‚® Medium ļ‚® Recipient Relevant/Appropriateness: Completeness: Availability / Accessibility: Reliability: (Reasonable) ā€¢ Biasfree / Impartiality: Fact /Accuracy ā€¢ Comprehensiveness /Understandable: ā€¢ Validity/ authentic ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ ā€¢ Verifiability Currency / current / updated Breadth of coverage Format Medium Communicability ā€¢ Concise: (not more/ not less) ā€¢ Timeliness: (not delay) ā€¢ Flexibility:(easy to change suitable form) ā€¢ ā€¢ Explicitness: (no need to analysis) Recipient ā€¢ Adaptability ā€¢ Cost-effectiveness:
  • 5. Nature of information ā€¢ Approaches to information ā€“ Structural approach ā€“ Knowledge approach ā€“ Message approach ā€¢ Nature by kind ā€“ Semantic information (as a message) ā€“ Semantic information ( as a process) ā€“ Documentary information ā€¢ Nature base on usersā€™ approach ā€¢ Commodity approach ā€“ Commodity ā€“ Process ā€“ State of knowing ā€“ Environment
  • 6. Natural Characteristics of information 1. Exponential Growth a. Doubling of Knowledge 2. Information is cumulative a. Gathering of information b. Storing information c. Application d. Generating information 3. Information is inter-disciplinary a. Typology of inter-disciplinary 4. Information is scatter a. In related and unrelated disciplines b. Utility in relation to scatter 5. Information is a resource for future a. A natural resource b. Information is the major criterion c. Information is a commodity
  • 7. Understandab le: Since information is already in a summarized form, it must be understood by the receiver so that he will interpret it correctly. He must be able to decode any abbreviations, shorthand notations or any other acronyms contained in the information.
  • 8. Relevan t: ā€¢ Information is good only if it is relevant. This means that it should be pertinent and meaningful to the decision maker and should be in his area of responsibility.
  • 9. Complet e: It should contain all the facts that are necessary for the decision maker to satisfactorily solve the problem at hand using such information. Nothing important should be left out. Although information cannot always be complete, every reasonable effort should be made to obtain it.
  • 10. Availabl e: Information may be useless if it is not readily accessible ā€˜ in the desired form, when it is needed. Advances in technology have made information more accessible today than ever before.
  • 11. Reliabl e: The information should be counted on to be trustworthy. It should be accurate, consistent with facts and verifiable. Inadequate or incorrect information generally leads to decisions of poor quality. For example, sales figures that have not been adjusted for returns and refunds are not reliable.
  • 12. Concis e: Too much information is a big burden on management and cannot be processed in time and accurately due to ā€œbounded rationalityā€. Bounded rationality determines the limits of the thinking process which cannot sort out and process large amounts of information. Accordingly, information should be to the point and just enough ā€“ no more, no less.
  • 13. Timel y: ā€¢ Information must be delivered at the right time and the right place to the right person. Premature information can become obsolete or be forgotten by the time it is actually needed. ā€¢ Similarly, some crucial decisions can be delayed because proper and necessary information is not available in time, resulting in missed opportunities. Accordingly the time gap between collection of data and the presentation of the proper information to the decision maker must be reduced as much as possible.
  • 14. Cost- effective: The information is not desirable if the solution is more costly than the problem. The cost of gathering data and processing it into information must be weighed against the benefits derived from using such information.
  • 15. Flexibilit y: The business and economic environment is highly dynamic in nature. Technological changes occur very fast. A rigid control system would not be suitable for a changing environment. These changes highlight the need for flexibility in planning as well as in control.
  • 16. Explicitnes s: ā€¢ Information is said to be of good quality if it does not require further analysis by the recipients for carrying out their activities.
  • 17. Bias / Impartiality: ā€¢ Impartial information contains no bias and has to be collected without any distorted view of the situation.