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Getaneh Alemu, Ph.D.
Cataloguing & Metadata Librarian
Solent University, UK
UKSG Seminar - October 25th 2022
THE PRINCIPLES OF
METADATA ENRICHING & FILTERING
TO ENHANCE RESOURCE DISCOVERY & USAGE
Solent University
OUTLINE & CONTEXT
1. What is metadata?
2. Why metadata?
3. Who creates metadata?
4. Metadata standards
5. Metadata quality
6. Metadata diversity
7. Metadata enriching & filtering
8. Conclusions
Solent University
1. WHAT IS METADATA?
Solent University
4
CONTEXT – THE INFORMATION AGE
Information revolution (Floridi, 2010)
Info glut (Wright, 2007)
Too much to know (Blair, 2010)
Big data (Borgman, 2015)
Too big to know (Weinberger, 2012)
Solent University
 The Library of Congress 170+ million information objects
 The British library 170-200 million items
 Europeana.eu 50+ million artworks, artefacts, books, films & music from
EU’s GLAMs
 The Digital Public Library of America 46+ million items
 Project Gutenberg > 60,000 free and public domain e-books
 The Internet Archive 35+ million books, 7.9 million movies, videos and TV
shows, 14 million audio files, 4 million images, 2.4 million TV clips, 237
thousand concerts, and over 682 billion web pages
CONTEXT – GROWING COLLECTIONS
Solent University
“METADATA LIBERATES KNOWLEDGE” (David Weinberger)
Solent University
No metadata
Solent University
Some metadata
Raphael, School of Athens, 1509-1511, fresco (Stanza della Segnatura, Palazzi Pontifici, Vatican)
Solent University
Artist
Raffaello Sanzio da Urbino
(Raphael)
Date
Painted
c. 1509 to 1511
Medium Fresco painting
Genre History painting
Period /
Movement
High Renaissance
Dimensions 500 x 770 centimeters
Series /
Versions
Part of the Stanza della
Segnatura series of frescoes
Where Is It
Housed?
Stanza della Segnatura, Vatican
Museums, Vatican City, Italy
Source:
Source: https://artincontext.org/the-school-of-
athens-raphael/
More metadata
Solent University
10
h t t p s : / / w w w . y o u t u b e . c o m / w a t c h ? v = S m d - q 4 4 y s o M
More metadata
Solent University
Details
Title
The man without a face : the unlikely rise of Vladimir Putin
Creator
Gessen, Masha
Description
Handpicked in 1999 by the 'Family' surrounding an ailing and increasingly unpopular Boris Yeltsin, Vladimir Putin, with very
little governmental or administrative experience beyond having served as deputy mayor of St Petersburg, seemed like the
perfect choice in the eyes of an oligarchy bent on moulding the president's successor to its own designs. Suddenly the boy
who had scrapped his way through post-war Leningrad schoolyards, dreaming of ruling the world, was a public figure, and
his popularity soared. Russia and an infatuated West were determined to see the progressive leader of their dreams, even as
with ruthless efficiency Putin dismantled the country's media, wrested control and wealth from the country's burgeoning
business class, and decimated the fragile mechanisms of democracy.
Publisher
London : Granta
Identifier
ISBN : 9781847084231
Creation Date
2014
Subject
Putin, Vladimir Vladimirovich, 1952-
Russia (Federation) -- Politics and government -- 1991-
Politics
Politicians
Biography
History
Russia
Soviet Union
Communism
Litvinenko, Alexander, 1962-2006
Contents
Format
325 pages ; 20 cm.
https://catalogue.solent.ac.uk/permalink/44SSU_INST/bslj9g/alma990096831570
204796
Metadata
Solent University
Title
Corporate manslaughter in the maritime and aviation industries
Creator
Daniels, Simon
Description
This book provides expert analysis of the application of the evolving law in Corporate
Manslaughter as it relates to the Maritime and Aviation industries. It discusses the liability
towards passengers and employees, the Prosecution of offenders Comparative analysis of
corporate manslaughter in the wider and global industry.
Series
Lloyd's practical shipping guides.
Publisher
Abingdon : Informa Law from Routledge
Identifier
ISBN : 9781317389491
Creation Date
2017
Subject
Law
Criminal law
Commercial crimes
Employer liability
Criminal liability of juristic persons -- Great Britain
Corporate manslaughter
Aeronautics, Commercial -- Law and legislation
Maritime law
Aeronautics
Costa Concordia (Cruise ship) -- Italy
Contents
accountability 10 Lessons to be shared 11 In hazard: The next generation in the High Arctic.
Format
1 online resource (xiv, 157 pages).
https://catalogue.solent.ac.uk/permalink/44SSU_INST/bslj9g/alma990096956
600204796
Metadata
Solent University
• Metadata: the process of assigning keywords, labels and
descriptions to content
• Discovery: the process of finding and selecting content
Known item search, browsing/navigation
Serendipitous discovery
• Usage: the action of utilising content
WHAT IS METADATA?
Solent University
WHAT IS METADATA?
• It is “data about data”
• Metadata = about-ness
• Metadata is what you enter into a search engine
• Metadata is your key-word in the sea of information
• Metadata is the tags, likes, dislikes, ratings, recommendations &
reviews
• Metadata is the naming of people, things, places and objects in a
database
(Gartner, 2016; Zeng & Qin, 2016; Haynes, 2018)
Solent University
WHAT IS METADATA? - W H AT, W H E N , BY W H O M …
Solent University
WHAT IS METADATA? - CONTEXT
Gebreselassie Haile 1973-04-18 54 Assela Ethiopia 10
Table: Data with no metadata
Last Name First Name Date ofBirth Weight City ofBirth Country Running Distance in
km
Gebreselassie Haile 1973-04-18 54 Assela Ethiopia 10
Table: Data with metadata
Solent University 17
WHAT IS METADATA? - COMPONENTS
Solent University 18
WHAT IS METADATA? - TYPES
Metadata Categories (based on: Hurley et al., 1999)
Solent University
2. WHY METADATA?
“Data will remain ‘dark matter’ in scholarly communication unless they are
described, curated, and made discoverable.” (Borgamn, 2015)
Solent University
METADATA FUNCTIONS
The six purposes of metadata (Haynes, 2018):
1. Resource identification and description
2. Retrieving information
3. Managing information resources
4. Managing intellectual property rights
5. Supporting e-commerce and e-government
6. Information governance
Solent University
• Find: allows users to search and find information resources for their queries
• Identify: enables users to distinguish relevant resources
• Select: enables users to choose appropriate resources that meet their requirements
• Obtain: helps users to access and utilise information resources
• Explore: helps users discover information resources.
(IFLA’s Library Reference Model’s (LRM) user tasks - Riva, Le Boeuf & Žumer, 2017).
METADATA FUNCTIONS
Solent University
“The convenience of the public is always to be set before the ease of the cataloguer.”
Cutter, 1904
W H Y M E TA DATA? S AV E S T H E T I M E O F T H E R E A D E R
1.Metadata is for use
2.Every user their metadata
3.Every metadata has its user
4.Metadata saves the time of the user
5.Metadata is a growing organism.
Based on Ranganathan, S. R. (1931). The five laws of library science. Madras: Madras Library Association.
Solent University
Cutter’s cataloguing rule :
1. To enable a person to find a book by:
a) the author
(b) the title
(c) the subject
2. To show what the library has:
(a) by a given author
(b) on a given subject
(c) in a given kind of literature
3. To assist in the choice of a book:
(a) as to its edition
(b) as to its bibliographic characteristics (such as genre, language or format).
WHY METADATA? SAV ES T H E T I M E O F T H E R EA D ER
Solent University
WHY METADATA? SAV ES T H E T I M E O F T H E R EA D ER
Users expecting
• Instantaneous
• 24/7
• Seamless
• Triangulated/complete
• Full-text
• Convenient access
Solent University
Metadata is the raison d'être for galleries, libraries, archives, publishers, etc
Ensuring print and electronic resources are discoverable and usable by users
Supports the circulation, acquisition and interlibrary loan functions of a library
Central for the preservation and access of cultural heritage objects
(Alemneh, 2009; Alemu et al., 2012; Alemu & Stevens, 2015; Anderson et al., 2009; Baker, 1998; Baker, 2000; Caplan, 2009; Dekkers, 2002;
Dekkers & Weibel, 2002; Duval et al., 2002; Gartner, 2016; Gartner, 2008; Haynes, 2018; Lagoze, 2010; Lavoie & Gartner, 2005; Zeng &
Chan, 2006; Zeng & Qin, 2016)
WHY METADATA?
Solent University
“Metadata plays a critical role in the function of any discovery service. Search, relevancy
ranking, faceted refinement, and recording grouping function (FRBR) all respond to the
metadata present.”
Source: (Han & Weathers, 2016, p, 275 in Varnum, 2016).
WHY METADATA?
Solent University
WHY METADATA?
Source: https://www.bic.org.uk/
Solent University 28
3. WHO CREATES METADATA?
Solent University 29
WHO CREATES METADATA?
Solent University
• Consider users as proactive creators, collaborators and partners
• Consider the cultural and linguistic context of users
• Keep the metadata up-to-date and relevant to reflect users needs
WHO CREATES METADATA?
Solent University
• Publications
• Subject headings
• Authority lists
• Encoding standards
• Publishers databases
• Machine-generated metadata
• User-generated metadata
SOURCES OF METADATA
Solent University
4. METADATA STANDARDS
Solent University
(Alemu, 2014)
METADATA STANDARDS
Solent University 34
(Alemu, 2014)
Solent University 35
(Alemu, 2014)
Solent University 36
Source: http://jennriley.com/metadatamap/seeingstandards.pdf
Solent University
37
Metadata standards- Dublin Core (DC)
Dublin Core
Field
Dublin Core Definition EncodingSchema Is it mandatory? Is it
repeatable?
URI
dc:title ‘A name givento the resource.’ Unstructured entry. Use titleof
work.
Yes Yes http://purl.org/dc/
elements/1.1/title
dc:subject ‘The topic of the resource.’ No http://purl.org/dc/
elements/1.1/subject
dc:subject ‘Subject can bekeywords, key phrases, or classification codes.
Recommendedbest practice isto use a controlled vocabulary.’
dcterms:LCSH No
dc:subject dcterms:MESH No
dc:subject dcterms:DDC No
dc:subject dcterms:LCC No
dc:subject dcterms:UDC No
dc:description No
dc:date ‘A point or period of timeassociated with an eventin the lifecycle of the
resource.’
Yes
dc:type No http://purl.org/dc/
elements/1.1/type
dc:type ‘The nature orgenre of the resource.’ dcterms:DCMIType No
dc:format No
dc:format dcterms:IMT No
dc:identifier dcterms:URI Yes
dc:identifier dcterms:ISBN No
dc:identifier dcterms:ISSN IdentifierISSN
dc:identifier dcterms:ISMN IdentifierISMN
dc:language Language
Solent University
Vocabulary Encoding
Schemes
DCMIType , DDC , IMT , LCC , LCSH , MESH , NLM , TGN , UDC
Syntax Encoding Schemes Box , ISO3166 , ISO639-2 , ISO639-3 , Period , Point , RFC1766 , RFC3066 ,
RFC4646 , RFC5646 , URI , W3CDTF
METADATA SCHEMAS
Solent University
METADATA STANDARDS- SUBJEC T HEADINGS
Code Type Description
BISAC codes SUBJECT Book Industry Study Group Codes
EUROVOC SUBJECT A multilingual thesaurus maintained by thePublications Office of the European Union
FAST SUBJECT FAST (Faceted Application of Subject Terminology)
– OCLC
GND NAMES_AND_SUBJECTS Subject and Names headings for books, serials, andother types of material in the German
National Library
JURIVOC SUBJECT JURIVOC is the legal thesaurus of the FederalCourt and former Federal Insurance
Court inSwitzerland
LCGFT SUBJECT Library of Congress Genre/Form Terms
LCMPT SUBJECT Library of Congress Medium of PerformanceThesaurus for Music (LCMPT)
LCDGT SUBJECT
LCNAMES NAME The authorised form of the name of a person responsible for a work or a group
responsible for awork or a meeting, conference, symposium, etc.
LCSH SUBJECT Subject headings for books, serials, and othertypes of material in the Library of
Congress
MESH SUBJECT Headings authorised by the National Library ofMedicine
THEMA Subject THEMA Subject Categories
Solent University
5. METADATA QUALITY
Solent University
• Consistency
• User Centredness
• Completeness
• Credibility
• Up-to-date-ness
• Multilingualism
• Interoperability
(Duval et al., 2002; Haynes, 2018; Meadows, 2019; Zeng & Qin, 2016)
M E TA DATA Q UA L I T Y
Solent University
Common issues include:
 Invalid fields, undefined sub-fields and missing indicators
 Issues with non-repeatable fields
 Non-well-formatted values
 Incomplete or brief records with missing fields
 Incorrect or inaccurate data in fields
 Data recorded incorrectly in fields (spelling, capitalisation,
punctuation etc.)
 Missing subject headings
(Kiraly, 2019; NAG, 2020)
M E TA DATA Q UA L I T Y
Solent University
NISO (2020) recommendation
• Use clear, consistent titles and sub-titles (do not add extraneous information
in the title)
• Use name authorities (LCAF, Virtual International Authority File (VIAF),
International Standard Name Identifier (ISNI), ORCID or Wikidata)
• Dates (creation, publication, copyright, package, version, update dates; use
ISO 8601)
• Book identifiers (ISBN, ISSN, DOI, LCCN, OCN)
• Subjects (LCSH, THEMA, BISAC, FAST, GND, etc)
NISO (2020). E-book Bibliographic Metadata Requirements in the Sale, Publication, Discovery, Delivery, and Preservation Supply Chain A Recommended Practice of the National
Information Standards Organization. Retrieved fromhttps://groups.niso.org/apps/group_public/download.php/23850/NISO_RP-29-202X_E-
Book_Metadata_Draft_for_Public_Comment.pdf
M E TA DATA Q UA L I T Y
Solent University
RECOMMENDED/ESSENTIAL METADATA ELEMENTS
NAG (2020) also showed that respondents
consider the following metadata elements
essential:
 Title information
 Creators from authorised
lists
 Resource type and format
 Identifiers (such as ISBN)
 Edition statement
 Publication information
 Physical description
(including page
numbers)
 Series, if applicable
 Electronic access URL for
e-books
 Item class mark
 Order information
(NAG, 2020)
Solent University
6. METADATA DIVERSITY
Solent University
• Human beings, by nature, do not always agree on a single about-ness, interpretation and classification
of things (Shirky, 2008; Weinberger, 2007).
• Metadata is affected by socio-cultural, linguistic, and political factors (Bowker & Star, 1999)
• Metadata is an approximation to the things it represents (Gartner, 2016)
• “Today’s category easily becomes tomorrow’s embarrassment” (Weinberger, 2007)
• Each standard and each category valorises some point of view and silences another” (Bowker and Star,
1999)
METADATA DIVERSITY
Solent University
 "The solution to the information overload problem is to create more metadata“ (Weinberger, 2007)
 “If a library is a growing organism, it follows that the library catalogue will also be a growing one. The rate
of growth of the catalogue may be said to be six times the rate of growth of the number of books, as a
book requires six entries on average” (Ranganathan, 1957, p.444)
• Metadata diversity better conforms to users’ needs
• Metadata enriching addresses this problem by allowing multiple metadata agents – including authors,
publishers, librarians, machines and users
METADATA DIVERSITY
Solent University
7. METADATA ENRICHING &
FILTERING
Solent University
M E TADATA E N R I CH I NG & F I LT E R I NG
Solent University
User search behaviours actions
Users search and browsing behaviours
• Non-linear
• Iterative
• Dynamic
• Evolving (Bates, 1989)
Users employ various techniques
• Searching
• Browsing
• Footnote chasing
• Citation searching
• Journal run
• Area scanning (Bates, 1989)
A berrypicking, evolving search model (Bates, 1989)
Solent University
SIMPLE search is the predominantly preferred method which accounts
for 95% of the searches, followed remotely by ADVANCED search
only 4%. And a very small fraction of VOICE searches (a new feature).
Source: Solent University Primo Discovery
User search behaviours actions
Solent University
Tip: # of words in Search
#words %
1 29.47%
2 38.38%
3 16.80%
4 6.97%
5 3.86%
6 1.26%
7 0.93%
8 0.65%
9 0.31%
10 0.12%
11 0.23%
12 0.21%
13 0.13%
14 0.15%
15 0.29%
16 0.08%
18 0.03%
20 0.06%
21 0.03%
26 0.05%
Source: Solent University Primo Discovery
Solent University
Number of words in a retail site search query Q1 2017
Note(s): Worldwide; January 2013 to March 19, 2017; 1.5 billion search queries
Further information regarding this statistic can be found on page 8.
Source(s): SLI Systems; MarketingCharts; ID 744854
56%
26%
11%
4%
1% 1% 1%
0%
10%
20%
30%
40%
50%
60%
1 word 2 words 3 words 4 words 5 words 6 words 7+ words*
Share
of
searches
by
word
length
Solent University
Average number of search terms for online search queries in the United States as of January 2020
Online search query size in the United States 2020, by number of keywords
Note(s): United States; January 2020
Further information regarding this statistic can be found on page 8.
Source(s): Keyword Discovery; ID 269740
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
One word Two words Three words Four words Five words Six words Seven words Eight words Nine words Ten or more
words
Share
of
searches
2
Solent University
U S A G E A N D D I S C O V E R Y – FA I L E D S E A R C H E S
Search String
9781843920885
Dark Matter: A History of the Afrofuture
Downcast eyes:
Eyes as Big as Plates
Hollywood by Hollywood: The Backstudio Picture and the Mystique of Making Movies Steven Cohan
Increased ocean temperature and its consequences
Jia Aili
Jun’ichirō Tanizaki. The Key (1956
Sloman foundation of economics
Stardust Hermit
Taylor, N., 2011, Brilliant business writing: How to inspire, engage and persuade through words. 2nd edition Pearson/Prentice Hall
The Futurist Cookbook
The Nine Types of Leader james
The Optimum Power Load: A Simple and Powerful Tool for Testing and Training
about charyties
about chatyes
catheterisation nursing
cathterisation nursing
cryptocurrency price prediction
diagnostic tests for lung cancer
dutton dukerich
https://global.oup.com/academic/product/hollywood-by-hollywood-9780190865771?cc=gb%26lang=en%26
indications for urinary catheterisation
Solent University
METADATA TIPS
 Create U S E R - C E N T R E D ( U S A B L E ) , S T R U C T U R E D , S P E C I F I C , C O N S I S T E N T,
A C C U R AT E & C O M P L E T E M E TA D ATA
 Apply metadata S TA N D A R D S (structured, in-depth & granular)
 Keep the metadata E N R I C H E D , I N C L U S I V E & U S E R - C E N T R E D
 Save the T I M E of users and keep them happy through metadata 
 Enhance D I S C O V E R Y through metadata
 Keep maximising U S A G E & I M P A C T (ROI) through metadata
Solent University
8. CONCLUSIONS
Metadata that is ENRICHED, LINKED, OPEN and
FILTERED drives usage of resources.
(Alemu, 2014)
Without metadata “the ever-increasing mass of information is mere chaos” (Barbara B.
Tillett, 2000)
Solent University
Bibliography
Alemu, G., & Stevens, B. (2015). An emergent theory of digital library metadata: Enrich then filter. Waltham, Massachusetts: Chandos Publishing.
Alemu, G. (2014) A Theory of Digital Library Metadata: the emergence of enriching and filtering, PhD Thesis, University of Portsmouth,
https://researchportal.port.ac.uk/en/studentTheses/a-theory-of-digital-librarymetadata.
Alemu, G. (2018) Metadata Enrichment for Digital Heritage: users as cocreators. International Information & Library Review, 50 (2), 142–56.
Alemu, G. A., Stevens, B. and Ross, P. (2012) Towards a Conceptual Framework for User-driven Semantic Metadata Interoperability in Digital Libraries: a
social constructivist approach, New Library World, 113 (1/2), 38–54, doi:10.1108/03074801211199031.
Alemu, G. A., Stevens, B., Ross, P. and Chandler, J. (2012) The Social Space of Metadata: perspectives of LIS academics and postgraduates on
standards-based and socially constructed metadata approaches, Journal of Library Metadata, 12 (4), 311–44,
doi:10.1080/19386389.2012.735523.
Alemu, G. A., Stevens, B., Ross, P. and Chandler, J. (2014) Toward an Emerging Principle of Linking Socially-constructed Metadata, Journal of Library
Metadata, 14 (2),
103–29, doi:10.1080/19386389.2014.914775.
Alemu, G. A. and Stevens, B. (2015) An Emergent Theory of Digital Library Metadata: enrich then filter, Chandos Publishing.
Blair, A. (2010) Too Much to Know: managing scholarly information before the modern age, Yale University Press.
Borgman, C. (2015) Big Data, Little Data, No Data: scholarship in the networked world, MIT Press.
Floridi, L. (2010). Information: A very short introduction. New York, NY: Oxford University Press.
Gartner, R. (2016). Metadata: Shaping knowledge from antiquity to the semantic web. Cham, Switzerland: Springer.
Haynes, D. (2018) Metadata for Information Management and Retrieval: understanding metadata and its use, Facet Publishing.
Solent University
Bibliography
Hider, P. (2018) Information Resource Description: creating and managing metadata, Facet Publishing.
Kiraly, P. (2019) Validating 126 Million MARC records. In Proceedings of the Third International Conference on Digital Access to Textual Cultural
Heritage (DATeCH2019), Association for Computing Machinery, New York, NY, USA, 161–8, https://doi.org/10.1145/3322905.3322929.
Meadows, A. (2019) Better Metadata Could Help Save the World!, Scholarly Kitchen, https://scholarly kitchen.sspnet.org/2019/06/11/better-metadata-
could-help- savethe-world.
Metadata 20/20 (2019) https://metadata2020.org.
Parrucci, J. (2020) Times Tags: metadata at The New York Times, 1851–today, paper presented at ISKO UK Meetup, www.iskouk.org/event-4023481.
Ranganathan, S. R. (1957) The Five Laws of Library Science, Madras Library Association.
Weinberger, D. (2005) Tagging and Why It Matters, http://cyber.law.harvard.edu/sites/cyber.law.harvard.edu/files/07-WhyTaggingMatters.pdf.
Weinberger, D. (2007) Everything is Miscellaneous, Times Books.
Weinberger, D. (2012a) Too Big to Know: rethinking knowledge now that the facts aren’t the facts, experts are everywhere and the smartest person in
the room is the room, Basic Books.
Wright, A. (2007) Glut: mastering information through the ages, Cornell University Press.
Wright, A. (2014) Cataloguing the World: Paul Otlet and the birth of the information age, Oxford University Press.
Zeng, M. L., & Qin, J. (2016). Metadata (2nd ed.). London: Facet Publishing.
Solent University
THANK YOU!

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The Role of Metadata for Discovery

  • 1. Getaneh Alemu, Ph.D. Cataloguing & Metadata Librarian Solent University, UK UKSG Seminar - October 25th 2022 THE PRINCIPLES OF METADATA ENRICHING & FILTERING TO ENHANCE RESOURCE DISCOVERY & USAGE
  • 2. Solent University OUTLINE & CONTEXT 1. What is metadata? 2. Why metadata? 3. Who creates metadata? 4. Metadata standards 5. Metadata quality 6. Metadata diversity 7. Metadata enriching & filtering 8. Conclusions
  • 4. Solent University 4 CONTEXT – THE INFORMATION AGE Information revolution (Floridi, 2010) Info glut (Wright, 2007) Too much to know (Blair, 2010) Big data (Borgman, 2015) Too big to know (Weinberger, 2012)
  • 5. Solent University  The Library of Congress 170+ million information objects  The British library 170-200 million items  Europeana.eu 50+ million artworks, artefacts, books, films & music from EU’s GLAMs  The Digital Public Library of America 46+ million items  Project Gutenberg > 60,000 free and public domain e-books  The Internet Archive 35+ million books, 7.9 million movies, videos and TV shows, 14 million audio files, 4 million images, 2.4 million TV clips, 237 thousand concerts, and over 682 billion web pages CONTEXT – GROWING COLLECTIONS
  • 6. Solent University “METADATA LIBERATES KNOWLEDGE” (David Weinberger)
  • 8. Solent University Some metadata Raphael, School of Athens, 1509-1511, fresco (Stanza della Segnatura, Palazzi Pontifici, Vatican)
  • 9. Solent University Artist Raffaello Sanzio da Urbino (Raphael) Date Painted c. 1509 to 1511 Medium Fresco painting Genre History painting Period / Movement High Renaissance Dimensions 500 x 770 centimeters Series / Versions Part of the Stanza della Segnatura series of frescoes Where Is It Housed? Stanza della Segnatura, Vatican Museums, Vatican City, Italy Source: Source: https://artincontext.org/the-school-of- athens-raphael/ More metadata
  • 10. Solent University 10 h t t p s : / / w w w . y o u t u b e . c o m / w a t c h ? v = S m d - q 4 4 y s o M More metadata
  • 11. Solent University Details Title The man without a face : the unlikely rise of Vladimir Putin Creator Gessen, Masha Description Handpicked in 1999 by the 'Family' surrounding an ailing and increasingly unpopular Boris Yeltsin, Vladimir Putin, with very little governmental or administrative experience beyond having served as deputy mayor of St Petersburg, seemed like the perfect choice in the eyes of an oligarchy bent on moulding the president's successor to its own designs. Suddenly the boy who had scrapped his way through post-war Leningrad schoolyards, dreaming of ruling the world, was a public figure, and his popularity soared. Russia and an infatuated West were determined to see the progressive leader of their dreams, even as with ruthless efficiency Putin dismantled the country's media, wrested control and wealth from the country's burgeoning business class, and decimated the fragile mechanisms of democracy. Publisher London : Granta Identifier ISBN : 9781847084231 Creation Date 2014 Subject Putin, Vladimir Vladimirovich, 1952- Russia (Federation) -- Politics and government -- 1991- Politics Politicians Biography History Russia Soviet Union Communism Litvinenko, Alexander, 1962-2006 Contents Format 325 pages ; 20 cm. https://catalogue.solent.ac.uk/permalink/44SSU_INST/bslj9g/alma990096831570 204796 Metadata
  • 12. Solent University Title Corporate manslaughter in the maritime and aviation industries Creator Daniels, Simon Description This book provides expert analysis of the application of the evolving law in Corporate Manslaughter as it relates to the Maritime and Aviation industries. It discusses the liability towards passengers and employees, the Prosecution of offenders Comparative analysis of corporate manslaughter in the wider and global industry. Series Lloyd's practical shipping guides. Publisher Abingdon : Informa Law from Routledge Identifier ISBN : 9781317389491 Creation Date 2017 Subject Law Criminal law Commercial crimes Employer liability Criminal liability of juristic persons -- Great Britain Corporate manslaughter Aeronautics, Commercial -- Law and legislation Maritime law Aeronautics Costa Concordia (Cruise ship) -- Italy Contents accountability 10 Lessons to be shared 11 In hazard: The next generation in the High Arctic. Format 1 online resource (xiv, 157 pages). https://catalogue.solent.ac.uk/permalink/44SSU_INST/bslj9g/alma990096956 600204796 Metadata
  • 13. Solent University • Metadata: the process of assigning keywords, labels and descriptions to content • Discovery: the process of finding and selecting content Known item search, browsing/navigation Serendipitous discovery • Usage: the action of utilising content WHAT IS METADATA?
  • 14. Solent University WHAT IS METADATA? • It is “data about data” • Metadata = about-ness • Metadata is what you enter into a search engine • Metadata is your key-word in the sea of information • Metadata is the tags, likes, dislikes, ratings, recommendations & reviews • Metadata is the naming of people, things, places and objects in a database (Gartner, 2016; Zeng & Qin, 2016; Haynes, 2018)
  • 15. Solent University WHAT IS METADATA? - W H AT, W H E N , BY W H O M …
  • 16. Solent University WHAT IS METADATA? - CONTEXT Gebreselassie Haile 1973-04-18 54 Assela Ethiopia 10 Table: Data with no metadata Last Name First Name Date ofBirth Weight City ofBirth Country Running Distance in km Gebreselassie Haile 1973-04-18 54 Assela Ethiopia 10 Table: Data with metadata
  • 17. Solent University 17 WHAT IS METADATA? - COMPONENTS
  • 18. Solent University 18 WHAT IS METADATA? - TYPES Metadata Categories (based on: Hurley et al., 1999)
  • 19. Solent University 2. WHY METADATA? “Data will remain ‘dark matter’ in scholarly communication unless they are described, curated, and made discoverable.” (Borgamn, 2015)
  • 20. Solent University METADATA FUNCTIONS The six purposes of metadata (Haynes, 2018): 1. Resource identification and description 2. Retrieving information 3. Managing information resources 4. Managing intellectual property rights 5. Supporting e-commerce and e-government 6. Information governance
  • 21. Solent University • Find: allows users to search and find information resources for their queries • Identify: enables users to distinguish relevant resources • Select: enables users to choose appropriate resources that meet their requirements • Obtain: helps users to access and utilise information resources • Explore: helps users discover information resources. (IFLA’s Library Reference Model’s (LRM) user tasks - Riva, Le Boeuf & Žumer, 2017). METADATA FUNCTIONS
  • 22. Solent University “The convenience of the public is always to be set before the ease of the cataloguer.” Cutter, 1904 W H Y M E TA DATA? S AV E S T H E T I M E O F T H E R E A D E R 1.Metadata is for use 2.Every user their metadata 3.Every metadata has its user 4.Metadata saves the time of the user 5.Metadata is a growing organism. Based on Ranganathan, S. R. (1931). The five laws of library science. Madras: Madras Library Association.
  • 23. Solent University Cutter’s cataloguing rule : 1. To enable a person to find a book by: a) the author (b) the title (c) the subject 2. To show what the library has: (a) by a given author (b) on a given subject (c) in a given kind of literature 3. To assist in the choice of a book: (a) as to its edition (b) as to its bibliographic characteristics (such as genre, language or format). WHY METADATA? SAV ES T H E T I M E O F T H E R EA D ER
  • 24. Solent University WHY METADATA? SAV ES T H E T I M E O F T H E R EA D ER Users expecting • Instantaneous • 24/7 • Seamless • Triangulated/complete • Full-text • Convenient access
  • 25. Solent University Metadata is the raison d'être for galleries, libraries, archives, publishers, etc Ensuring print and electronic resources are discoverable and usable by users Supports the circulation, acquisition and interlibrary loan functions of a library Central for the preservation and access of cultural heritage objects (Alemneh, 2009; Alemu et al., 2012; Alemu & Stevens, 2015; Anderson et al., 2009; Baker, 1998; Baker, 2000; Caplan, 2009; Dekkers, 2002; Dekkers & Weibel, 2002; Duval et al., 2002; Gartner, 2016; Gartner, 2008; Haynes, 2018; Lagoze, 2010; Lavoie & Gartner, 2005; Zeng & Chan, 2006; Zeng & Qin, 2016) WHY METADATA?
  • 26. Solent University “Metadata plays a critical role in the function of any discovery service. Search, relevancy ranking, faceted refinement, and recording grouping function (FRBR) all respond to the metadata present.” Source: (Han & Weathers, 2016, p, 275 in Varnum, 2016). WHY METADATA?
  • 27. Solent University WHY METADATA? Source: https://www.bic.org.uk/
  • 28. Solent University 28 3. WHO CREATES METADATA?
  • 29. Solent University 29 WHO CREATES METADATA?
  • 30. Solent University • Consider users as proactive creators, collaborators and partners • Consider the cultural and linguistic context of users • Keep the metadata up-to-date and relevant to reflect users needs WHO CREATES METADATA?
  • 31. Solent University • Publications • Subject headings • Authority lists • Encoding standards • Publishers databases • Machine-generated metadata • User-generated metadata SOURCES OF METADATA
  • 36. Solent University 36 Source: http://jennriley.com/metadatamap/seeingstandards.pdf
  • 37. Solent University 37 Metadata standards- Dublin Core (DC) Dublin Core Field Dublin Core Definition EncodingSchema Is it mandatory? Is it repeatable? URI dc:title ‘A name givento the resource.’ Unstructured entry. Use titleof work. Yes Yes http://purl.org/dc/ elements/1.1/title dc:subject ‘The topic of the resource.’ No http://purl.org/dc/ elements/1.1/subject dc:subject ‘Subject can bekeywords, key phrases, or classification codes. Recommendedbest practice isto use a controlled vocabulary.’ dcterms:LCSH No dc:subject dcterms:MESH No dc:subject dcterms:DDC No dc:subject dcterms:LCC No dc:subject dcterms:UDC No dc:description No dc:date ‘A point or period of timeassociated with an eventin the lifecycle of the resource.’ Yes dc:type No http://purl.org/dc/ elements/1.1/type dc:type ‘The nature orgenre of the resource.’ dcterms:DCMIType No dc:format No dc:format dcterms:IMT No dc:identifier dcterms:URI Yes dc:identifier dcterms:ISBN No dc:identifier dcterms:ISSN IdentifierISSN dc:identifier dcterms:ISMN IdentifierISMN dc:language Language
  • 38. Solent University Vocabulary Encoding Schemes DCMIType , DDC , IMT , LCC , LCSH , MESH , NLM , TGN , UDC Syntax Encoding Schemes Box , ISO3166 , ISO639-2 , ISO639-3 , Period , Point , RFC1766 , RFC3066 , RFC4646 , RFC5646 , URI , W3CDTF METADATA SCHEMAS
  • 39. Solent University METADATA STANDARDS- SUBJEC T HEADINGS Code Type Description BISAC codes SUBJECT Book Industry Study Group Codes EUROVOC SUBJECT A multilingual thesaurus maintained by thePublications Office of the European Union FAST SUBJECT FAST (Faceted Application of Subject Terminology) – OCLC GND NAMES_AND_SUBJECTS Subject and Names headings for books, serials, andother types of material in the German National Library JURIVOC SUBJECT JURIVOC is the legal thesaurus of the FederalCourt and former Federal Insurance Court inSwitzerland LCGFT SUBJECT Library of Congress Genre/Form Terms LCMPT SUBJECT Library of Congress Medium of PerformanceThesaurus for Music (LCMPT) LCDGT SUBJECT LCNAMES NAME The authorised form of the name of a person responsible for a work or a group responsible for awork or a meeting, conference, symposium, etc. LCSH SUBJECT Subject headings for books, serials, and othertypes of material in the Library of Congress MESH SUBJECT Headings authorised by the National Library ofMedicine THEMA Subject THEMA Subject Categories
  • 41. Solent University • Consistency • User Centredness • Completeness • Credibility • Up-to-date-ness • Multilingualism • Interoperability (Duval et al., 2002; Haynes, 2018; Meadows, 2019; Zeng & Qin, 2016) M E TA DATA Q UA L I T Y
  • 42. Solent University Common issues include:  Invalid fields, undefined sub-fields and missing indicators  Issues with non-repeatable fields  Non-well-formatted values  Incomplete or brief records with missing fields  Incorrect or inaccurate data in fields  Data recorded incorrectly in fields (spelling, capitalisation, punctuation etc.)  Missing subject headings (Kiraly, 2019; NAG, 2020) M E TA DATA Q UA L I T Y
  • 43. Solent University NISO (2020) recommendation • Use clear, consistent titles and sub-titles (do not add extraneous information in the title) • Use name authorities (LCAF, Virtual International Authority File (VIAF), International Standard Name Identifier (ISNI), ORCID or Wikidata) • Dates (creation, publication, copyright, package, version, update dates; use ISO 8601) • Book identifiers (ISBN, ISSN, DOI, LCCN, OCN) • Subjects (LCSH, THEMA, BISAC, FAST, GND, etc) NISO (2020). E-book Bibliographic Metadata Requirements in the Sale, Publication, Discovery, Delivery, and Preservation Supply Chain A Recommended Practice of the National Information Standards Organization. Retrieved fromhttps://groups.niso.org/apps/group_public/download.php/23850/NISO_RP-29-202X_E- Book_Metadata_Draft_for_Public_Comment.pdf M E TA DATA Q UA L I T Y
  • 44. Solent University RECOMMENDED/ESSENTIAL METADATA ELEMENTS NAG (2020) also showed that respondents consider the following metadata elements essential:  Title information  Creators from authorised lists  Resource type and format  Identifiers (such as ISBN)  Edition statement  Publication information  Physical description (including page numbers)  Series, if applicable  Electronic access URL for e-books  Item class mark  Order information (NAG, 2020)
  • 46. Solent University • Human beings, by nature, do not always agree on a single about-ness, interpretation and classification of things (Shirky, 2008; Weinberger, 2007). • Metadata is affected by socio-cultural, linguistic, and political factors (Bowker & Star, 1999) • Metadata is an approximation to the things it represents (Gartner, 2016) • “Today’s category easily becomes tomorrow’s embarrassment” (Weinberger, 2007) • Each standard and each category valorises some point of view and silences another” (Bowker and Star, 1999) METADATA DIVERSITY
  • 47. Solent University  "The solution to the information overload problem is to create more metadata“ (Weinberger, 2007)  “If a library is a growing organism, it follows that the library catalogue will also be a growing one. The rate of growth of the catalogue may be said to be six times the rate of growth of the number of books, as a book requires six entries on average” (Ranganathan, 1957, p.444) • Metadata diversity better conforms to users’ needs • Metadata enriching addresses this problem by allowing multiple metadata agents – including authors, publishers, librarians, machines and users METADATA DIVERSITY
  • 48. Solent University 7. METADATA ENRICHING & FILTERING
  • 49. Solent University M E TADATA E N R I CH I NG & F I LT E R I NG
  • 50. Solent University User search behaviours actions Users search and browsing behaviours • Non-linear • Iterative • Dynamic • Evolving (Bates, 1989) Users employ various techniques • Searching • Browsing • Footnote chasing • Citation searching • Journal run • Area scanning (Bates, 1989) A berrypicking, evolving search model (Bates, 1989)
  • 51. Solent University SIMPLE search is the predominantly preferred method which accounts for 95% of the searches, followed remotely by ADVANCED search only 4%. And a very small fraction of VOICE searches (a new feature). Source: Solent University Primo Discovery User search behaviours actions
  • 52. Solent University Tip: # of words in Search #words % 1 29.47% 2 38.38% 3 16.80% 4 6.97% 5 3.86% 6 1.26% 7 0.93% 8 0.65% 9 0.31% 10 0.12% 11 0.23% 12 0.21% 13 0.13% 14 0.15% 15 0.29% 16 0.08% 18 0.03% 20 0.06% 21 0.03% 26 0.05% Source: Solent University Primo Discovery
  • 53. Solent University Number of words in a retail site search query Q1 2017 Note(s): Worldwide; January 2013 to March 19, 2017; 1.5 billion search queries Further information regarding this statistic can be found on page 8. Source(s): SLI Systems; MarketingCharts; ID 744854 56% 26% 11% 4% 1% 1% 1% 0% 10% 20% 30% 40% 50% 60% 1 word 2 words 3 words 4 words 5 words 6 words 7+ words* Share of searches by word length
  • 54. Solent University Average number of search terms for online search queries in the United States as of January 2020 Online search query size in the United States 2020, by number of keywords Note(s): United States; January 2020 Further information regarding this statistic can be found on page 8. Source(s): Keyword Discovery; ID 269740 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% One word Two words Three words Four words Five words Six words Seven words Eight words Nine words Ten or more words Share of searches 2
  • 55. Solent University U S A G E A N D D I S C O V E R Y – FA I L E D S E A R C H E S Search String 9781843920885 Dark Matter: A History of the Afrofuture Downcast eyes: Eyes as Big as Plates Hollywood by Hollywood: The Backstudio Picture and the Mystique of Making Movies Steven Cohan Increased ocean temperature and its consequences Jia Aili Jun’ichirō Tanizaki. The Key (1956 Sloman foundation of economics Stardust Hermit Taylor, N., 2011, Brilliant business writing: How to inspire, engage and persuade through words. 2nd edition Pearson/Prentice Hall The Futurist Cookbook The Nine Types of Leader james The Optimum Power Load: A Simple and Powerful Tool for Testing and Training about charyties about chatyes catheterisation nursing cathterisation nursing cryptocurrency price prediction diagnostic tests for lung cancer dutton dukerich https://global.oup.com/academic/product/hollywood-by-hollywood-9780190865771?cc=gb%26lang=en%26 indications for urinary catheterisation
  • 56. Solent University METADATA TIPS  Create U S E R - C E N T R E D ( U S A B L E ) , S T R U C T U R E D , S P E C I F I C , C O N S I S T E N T, A C C U R AT E & C O M P L E T E M E TA D ATA  Apply metadata S TA N D A R D S (structured, in-depth & granular)  Keep the metadata E N R I C H E D , I N C L U S I V E & U S E R - C E N T R E D  Save the T I M E of users and keep them happy through metadata   Enhance D I S C O V E R Y through metadata  Keep maximising U S A G E & I M P A C T (ROI) through metadata
  • 57. Solent University 8. CONCLUSIONS Metadata that is ENRICHED, LINKED, OPEN and FILTERED drives usage of resources. (Alemu, 2014) Without metadata “the ever-increasing mass of information is mere chaos” (Barbara B. Tillett, 2000)
  • 58. Solent University Bibliography Alemu, G., & Stevens, B. (2015). An emergent theory of digital library metadata: Enrich then filter. Waltham, Massachusetts: Chandos Publishing. Alemu, G. (2014) A Theory of Digital Library Metadata: the emergence of enriching and filtering, PhD Thesis, University of Portsmouth, https://researchportal.port.ac.uk/en/studentTheses/a-theory-of-digital-librarymetadata. Alemu, G. (2018) Metadata Enrichment for Digital Heritage: users as cocreators. International Information & Library Review, 50 (2), 142–56. Alemu, G. A., Stevens, B. and Ross, P. (2012) Towards a Conceptual Framework for User-driven Semantic Metadata Interoperability in Digital Libraries: a social constructivist approach, New Library World, 113 (1/2), 38–54, doi:10.1108/03074801211199031. Alemu, G. A., Stevens, B., Ross, P. and Chandler, J. (2012) The Social Space of Metadata: perspectives of LIS academics and postgraduates on standards-based and socially constructed metadata approaches, Journal of Library Metadata, 12 (4), 311–44, doi:10.1080/19386389.2012.735523. Alemu, G. A., Stevens, B., Ross, P. and Chandler, J. (2014) Toward an Emerging Principle of Linking Socially-constructed Metadata, Journal of Library Metadata, 14 (2), 103–29, doi:10.1080/19386389.2014.914775. Alemu, G. A. and Stevens, B. (2015) An Emergent Theory of Digital Library Metadata: enrich then filter, Chandos Publishing. Blair, A. (2010) Too Much to Know: managing scholarly information before the modern age, Yale University Press. Borgman, C. (2015) Big Data, Little Data, No Data: scholarship in the networked world, MIT Press. Floridi, L. (2010). Information: A very short introduction. New York, NY: Oxford University Press. Gartner, R. (2016). Metadata: Shaping knowledge from antiquity to the semantic web. Cham, Switzerland: Springer. Haynes, D. (2018) Metadata for Information Management and Retrieval: understanding metadata and its use, Facet Publishing.
  • 59. Solent University Bibliography Hider, P. (2018) Information Resource Description: creating and managing metadata, Facet Publishing. Kiraly, P. (2019) Validating 126 Million MARC records. In Proceedings of the Third International Conference on Digital Access to Textual Cultural Heritage (DATeCH2019), Association for Computing Machinery, New York, NY, USA, 161–8, https://doi.org/10.1145/3322905.3322929. Meadows, A. (2019) Better Metadata Could Help Save the World!, Scholarly Kitchen, https://scholarly kitchen.sspnet.org/2019/06/11/better-metadata- could-help- savethe-world. Metadata 20/20 (2019) https://metadata2020.org. Parrucci, J. (2020) Times Tags: metadata at The New York Times, 1851–today, paper presented at ISKO UK Meetup, www.iskouk.org/event-4023481. Ranganathan, S. R. (1957) The Five Laws of Library Science, Madras Library Association. Weinberger, D. (2005) Tagging and Why It Matters, http://cyber.law.harvard.edu/sites/cyber.law.harvard.edu/files/07-WhyTaggingMatters.pdf. Weinberger, D. (2007) Everything is Miscellaneous, Times Books. Weinberger, D. (2012a) Too Big to Know: rethinking knowledge now that the facts aren’t the facts, experts are everywhere and the smartest person in the room is the room, Basic Books. Wright, A. (2007) Glut: mastering information through the ages, Cornell University Press. Wright, A. (2014) Cataloguing the World: Paul Otlet and the birth of the information age, Oxford University Press. Zeng, M. L., & Qin, J. (2016). Metadata (2nd ed.). London: Facet Publishing.

Editor's Notes

  1. In this presentation, I aim to provide metadata definitions, purposes and applications for resource discovery and usage. I’ll also argue the importance of continuously updating, correcting, cleaning, linking, sharing and reusing metadata through an iterative, continuous and community-driven effort. I’ll outline four metadata principles, namely metadata enriching, linking, openness and filtering. I also argue that metadata creation and enhancement is a continuous process involving authors, publishers, suppliers, librarians and users – indicating a shift from metadata simplicity to enrichment.
  2. Luciano  Floridi – writes about what he calls the 4th information revolution – which is a data-oriented, information intensive and technology mediated civilisation. Weinberger: The new “Age of Networks” has removed the need for anybody, including laymen, to necessarily undergo the peer-review process prior to getting published, as each takes upon himself/herself to complete the activities associated with publishing, editing, tagging, reviewing, posting, tweeting and re-tweeting. The setup has lowered the barriers to entry for these practitioners to such an extent that they face little constraints when co-creating content. This capability for co-creating as well as the virtue of openness has enabled the realization of some of the biggest projects of the twenty-first century (such as Wikipedia, the arXiv.org). Another issue addressed by the author is information overload, also known as info glut, data smog, or information tsunami. Popularized by Alvin Toffler, a Technology Futurist, the phenomenon is one that preoccupies the minds of librarians, especially those who, for so long, have based their value proposition on solving the problems associated with the availability of “too-much-information”. As noted by Weinberger, information overload has become to be considered a serious handicap, warranting special attention in the scientific and, especially psychiatric, discourse, resulting in the identification and characterization of such disorders as information anxiety or information fatigue syndrome. After crediting Clay Shirky for having contributed several interesting insights on the topic, the author argues that fear of information overload has been with us for much too long and that too much information is not necessarily bad. Hence, he contends, the problem is not information overload per se, but filter failure. https://researchportal.port.ac.uk/en/publications/book-review-too-big-to-know Erasmus complained about “swarms of new books” Ecclesiastes 12:12 (“of making books there is no end,” probably from the 4th or 3d century BC). Weinberger: the solution to the information overload problem is metadata. Can metadata help us to turn chaos into order?
  3. Europeana.eu Says discover Europe’s digital cultural heritage. It invites users to search, explore, save, share art, books, films and music from thousands of cultural institutions. The question is how?
  4. Just for the purpose of this presentation, what is the name of this painting? Who was the painter? When? On what material? Where is it housed now? Dimensions? Without the metadata, it is difficult to accurately describe this painting with its attributes.
  5. Raphael, School of Athens, 1509-1511, fresco (Stanza della Segnatura, Palazzi Pontifici, Vatican)
  6. Raphael, School of Athens, 1509-1511, fresco (Stanza della Segnatura, Palazzi Pontifici, Vatican) “The name fresco, or “fresh” in Italian, stems from the practice of painting with a mix of water and pigment onto freshly laid wall plaster.” https://artincontext.org/fresco-painting/
  7. “Plato points up because in his philosophy the changing world that we see around us is just a shadow of a higher, truer reality that is eternal and unchanging (and include things like goodness and beauty). For Plato, this otherworldly reality is the ultimate reality, and the seat of all truth, beauty, justice, and wisdom. Plato holds his book called the Timaeus. Aristotle holds his hand down, because in his philosophy, the only reality is the one that we can see and experience by sight and touch (exactly the reality dismissed by Plato). Aristotle's Ethics (the book that he holds) "emphasized the relationships, justice, friendship, and government of the human world and the need to study it.“ https://www.khanacademy.org/humanities/ap-art-history/early-europe-and-colonial-americas/renaissance-art-europe-ap/a/raphael-school-of-athens
  8. “Metadata (literally beyond or with data) is a common name for descriptions of documents, records, and data” (Buckland, 2017) Metadata is an indexing language Metadata provides descriptions for finding aids Metadata provides keys for discovery and selection
  9. Metadata answers what, when, by/for whom, where and how questions for informationrelated objects (see Figure 1.4). For example, what is the title of this work? Who created it? For whom is this made (target audience)? Where is it located (web or physical location)? What is the file type (what software application and technology is required to view/read/access it)? What is its usage like (popularity) (usage statistics)? When was it created/published/revised? A given image (photograph) can have the following metadata – name, item type, date created, date modified, owner, location, size, caption, dimension, width, height, resolution, bit depth, compression, colour representation, camera maker, camera model, ISO speed, focal length, max. aperture, metering mode, flash mode, lens maker, lens model, flash maker, flash model, contrast, brightness, light source, saturation, sharpness, digital zoom, subject, rating, tags, comments, programme name and copyright.
  10. “In the digital world, metadata is all. Content, without the connectors to other parts of the cascading inscription, is meaningless because it is out of context. The connectors are the metadata. The capability to provide granular access and rights to information of all kinds is in the metadata. And the ability to trace what has happened to information is in the metadata. The latter metadata is core to the recordkeeping informatics. The trail of action about who has done what, when and under what permissions”. Chapter 7: Multiple rights in records: the role of recordkeeping informatics by Barbara Reed, Gillian Oliver, Frank Upward and Joanne Evans, in Archival futures. (2018). Facet: London.
  11. Resource Description In our everyday lives, anything we compose – emails, notes, meeting minutes, reports or essays, some metadata, often generated by the application (system) we use to create the document. For example, an e-mail has metadata including From (Sender), To (Receiver), Subject and Date. Dublin Core (DC) has 15 metadata elements to describe a given information resource. DC uses Title, Type, Creator, Date, Identifier, Format, Subject, Language, Publisher, Relation, Rights, Source, Coverage, Contributor and Description. Retrieving information: information retrieval is the bread and butter of libraries and search engines – without it, they fail to provide information services to their customers. Users come to the library to find resources that support their education and research. It would be frustrating for users who search but cannot find. The motto needs to be ‘search, and you shall find’. In the language of LRM and RDA, any resource description should support the user task called Find. Managing information resources: in the context of libraries, the operations of acquisitions, loans, reading list services and interlibrary loan services rely on metadata. Therefore, the management of information resources depends on the effective use of metadata. Information management ensures authenticity, provenance (ownership, source, change history and context), original order, and integrity for records and archives management.  
  12. IFLA FRBR identifies four user tasks – these are tasks users are expected to perform on a catalogue (IFLA, 2009; Riva, Le Boeuf & Žumer, 2017). These include find, identify, select and obtain.   FIND – which metadata elements (attributes and relationships) could enable the users to search, find or retrieve information resources? What are the attributes and relationships of a given work, expression, manifestation or item that allow users to find a resource? In other words, any metadata decision needs to put the user in mind. This relates to metadata that helps users “to find entities that correspond to the user’s stated search criteria (i.e., to locate either a single entity or a set of entities in a file or database as the result of a search using an attribute or relationship of the entity)” (IFLA, 2009). IDENTIFY – once users find resources, which of the metadata elements (attributes and relationships) enable them to distinguish (differentiate) relevant results that meet their needs? “The minimal set of attributes sufficient to differentiate one manifestation from another in the majority of cases comprises the title, statement of responsibility, edition/issue designation, publisher/distributor, date of publication/distribution, series statement, and form of carrier)” (IFLA, 2009). SELECT – once identified, what are the metadata elements that help users filter and select relevant resources? “to select an entity that is appropriate to the user’s needs (i.e., to choose an entity that meets the user’s requirements concerning the content, physical format, etc., or to reject an entity as being inappropriate to the user’s needs)” (IFLA, 2009).   OBTAIN – what are the metadata elements that help users obtain or access the information resource (borrow, view, read or download content)? For example, these could be metadata about the location such as physical (i.e. shelf, folder, file) or virtual (i.e. URL, URI, IRI, DOI), license information or item-level information).  
  13. Cutter, C. A. (1962). Rules for a dictionary catalog. Washington: Government printing office. Ranganathan, S. R. (1931). The five laws of library science. Madras: Madras Library Association. http://aims.fao.org/activity/blog/five-laws-library-science-detailing-principles-operating-library-system
  14. Cutter, C. A. (1962). Rules for a dictionary catalog. Washington: Government printing office. Ranganathan, S. R. (1931). The five laws of library science. Madras: Madras Library Association. http://aims.fao.org/activity/blog/five-laws-library-science-detailing-principles-operating-library-system
  15. I would argue, information management in general, and librarianship as a profession in particular stands and falls on its essential foundation of information organisation where metadata plays a central role.
  16.  Employees and customers spend a lot of to find/re-find information Metadata can improve document search But few organizations use metadata
  17. BIC: Book Industry Communication “Lack of the appropriate data needed for consumers and booksellers to discover and trade titles will have a negative impact on sales.”
  18. May I say, whether you work in academia, publishing or commerce, you need a dedicated team of people creating, ingesting, curating, managing and applying metadata. Don't tuck it elsewhere.
  19. “Naming draws on already established terminology for future searching but problems arise because language continually changes and because new concepts need new names.” (Buckland, 2017).
  20. (e.g. ISO 639-3: language codes & lists; ISO 8601 - date time format)
  21. Seeing Standards: A Visualization of the Metadata Universe. Retrieved from http://jennriley.com/metadatamap/seeingstandards.pdf Archives – ISAD (G) – EAD Identity & Repository Core Information About the Creator Arrangement, Processing & Notes Context Digital Materials Other Materials Use of the Content Access Points Content: Jenn Riley; Design: Devin Becker Work funded by the Indiana University Libraries White Professional Development Award Copyright 2009-2010 Jenn Riley
  22. Zeng and Qin (2016, pp.325-331) discuss four metadata quality indicators, namely completeness (size and distribution), correctness (content, format, input, consistency (recording, linking, identification, description, representation and syntax) and duplication analysis. According to Haynes (2018), metadata quality has important for the findability and discovery of content. Metadata quality indicators also include modularity, extensibility, refinement, multilingualism and interoperability (Duval et al., 2002; Zeng & Qin, 2016). As Zeng and Qin (2016) discuss, quality ensuring processes and mechanisms need to be put in place including templating, metadata validation techniques, automated correction techniques, quality enhancement mechanisms and use of controlled vocabularies and encoding schemes. In his research, Kiraly (2019) analyses more than 126 million MARC records obtained from 14 library catalogues and identifies the most frequent issue types are the usage of undocumented schema elements
  23. Zeng and Qin (2016, pp.325-331) discuss four metadata quality indicators, namely completeness (size and distribution), correctness (content, format, input, consistency (recording, linking, identification, description, representation and syntax) and duplication analysis. According to Haynes (2018), metadata quality has important for the findability and discovery of content. Metadata quality indicators also include modularity, extensibility, refinement, multilingualism and interoperability (Duval et al., 2002; Zeng & Qin, 2016). As Zeng and Qin (2016) discuss, quality ensuring processes and mechanisms need to be put in place including templating, metadata validation techniques, automated correction techniques, quality enhancement mechanisms and use of controlled vocabularies and encoding schemes. In his research, Kiraly (2019) analyses more than 126 million MARC records obtained from 14 library catalogues and identifies the most frequent issue types are the usage of undocumented schema elements
  24. https://groups.niso.org/apps/group_public/download.php/23850/NISO_RP-29-202X_E-Book_Metadata_Draft_for_Public_Comment.pdf NAG:  National Acquisitions Group (UK)
  25. https://groups.niso.org/apps/group_public/download.php/23850/NISO_RP-29-202X_E-Book_Metadata_Draft_for_Public_Comment.pdf NAG:  National Acquisitions Group (UK)
  26. Separation of metadata content (enriching) and interface (filtering) Enriching and filtering as a continuous, non-deterministic, process From user-centred to user-driven metadata enriching and filtering Metadata diversity better conforming to users’ needs Seamless linking ‘Useful’ rather than ‘perfect’ metadata Post-hoc user-driven filtering
  27. Bates, M. J. (1989). The Design of Browsing and Berrypicking Techniques for the Online Search Interface. Online Review, 13, 5, 407-24. Retrieved from https://pages.gseis.ucla.edu/faculty/bates/berrypicking.html
  28. This statistic presents the average number of words in a retail site search query as of the first quarter of 2017. According to the report, 56 percent of retail site search queries were measured to have a word length of only one word, while 11 percent of searches were three words long. Source: Statista https://www.statista.com/statistics/744854/retail-site-search-word-length-search/
  29.  As of January 2020, 40 percent of all U.S. online search queries contained two keywords. Three word search terms accounted for 22.74 percent of searches. Queries up to three words accounted for over 80 percent of online searches in the United States. Online search query size in the United States 2020, by number of keywords Published by Statista Research Department, Jul 7, 2022