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Geospatial data in library collections
Ifigenia Vardakosta and Sarantos Kapidakis
Laboratory on Digital Libraries and Electronic Publishing
Department of Archives and Library Science
Ionian University
{ifigenia, sarantos}@ionio.gr

Introduction
Spatial  data  is  from  its  nature  eminently  fuzzy  and  have 
characteristics  which  differentiate  them  from  other  data 
such  as  heterogeneity,  volume,  the  need  to  be  updated 
over  time  etc  (Janee,  2009; Erwin  &  Sweetkind‐Singer, 
2010).  Libraries  as  the  main  organizations  for  collecting, 
managing  and  disseminating  information,  in  response  to 
the  growing  needs  of  their  users,  collect  geographic 
information and develop GIS services. As the value of a GIS 
is  dependent  on  the  quality  of  the  data  contained  in  the 
system,  makes  data  undoubtedly  the  most  important 
component of a GIS since their ability to be combined with 
many  datasets  adds  more  value  to  them.  The  purpose  of 
this paper is to investigate the types of geospatial data and 
their  formats  as  they  are  presented  in  geographical 
collections that academic libraries sustain.

Results
The  elements  related  to  “types”,  “formats” and  “subject” of 
geospatial  data  in  academic  libraries  collections,  as  they 
appear in their websites were examined in the current survey. 
Our  investigation  identified  a  variety  of  different  kinds  of 
digital  data  as  shown  in  Fig.1.  Synonym  words  (e.g. 
views/photos) grouped together and the number of policies in 
which  it  appears  was  noted.  Results  ranked  according  the 
number of times the specific word was mentioned in the text 
of  policies.  Aerial  view/photos,  atlases  and  datasets  consist 
the most common types of data collections.

Subject categories that libraries choose to offer to their 
users  include  both  Physical  and  Human  Geography. 
Under those two  broad  categories  are a  wide  range  of 
subcategories  which  also  grouped  and  ranked 
according  their  present  in  policies’ texts.  Thus, 
Topography,  Geology  and  Environmental  aspects  are 
the  main  thematic  fields  from  “Physical  Geography”
category  (Fig.  3a)  while  Historical  events,  Political  and 
Administrative  Divisions,  Socio‐economic  patterns  and 
Transportation  systems  are  at  the  top  of  priorities  for 
“Human Geography” (Fig. 3b).

Aims and Objectives
Despite  the  great  amount  of  literature  concerning  GIS 
services  implementation  and  GIS  data,  no  empirical 
assessment  has  yet  been  available  for  types  and  formats 
of GIS data that are distributed through academic libraries 
that have developed geographical collections. In the digital 
era  where  many  applications  of  geographical  information 
have been adopted in everyday life (PDA’s, mobile phones 
etc),  those  data  sustain  one  of  the  main  “traditional”
organized collections provided in library environment.
The  intension  of  this  study  is  to  explore  the  geospatial 
data  that  libraries  with  geographical  collections  maintain.
Therefore,  the  research  questions  formed  in  this  context 
are:
1)  What  are  the  main  types  of  geospatial  data  that 
libraries collect?
2) In what format geospatial data are collected?
3)  What  are  the  main  subjects  categories  that  libraries 
choose to offer to their users?

This  research  follows  on  our  initial  research  related  to 
academic  libraries  around  the  world  that  provide 
geographical  collections  and  GIS  services  (Vardakosta  & 
Kapidakis,  2011).  More  specifically,  we  choose  to  research 
the  websites  of  24  academic  libraries  worldwide  that  in  a 
previous  research  we  reveal  the  characteristics  of  their 
geospatial  collection  development  policies  (Vardakosta and 
Kapidakis,  2012)  so  to  record  the  information  related  to 
types,  subject  and  format  of  data.  Our  intention  to  follow 
this method was based on these findings and particularly on 
those  that  relates  geospatial  collection  development 
policies  with provided  data. To answer the  aforementioned 
questions  our  study  adopts  the  content  analysis  method 
(Robson,  2002;  Hahn  &  Schmidt,  2005  ;  Bennett  & 
Nicholson,  2007).  Thus,  our  study  was  focused  on 
investigating the policies’ text of those 24 academic libraries 
and  attempting  to  make  a  categorization  of  elements 
browsing  for  “types” or  “kind”,  “format” and  “subject” of 
content. This  categorization  that  took  place  after  the 
libraries’ websites  were  evaluated  helped  us  group  the 
different aspects of our main heading which was “geospatial 
data”. For  this  study  needs  should  be  clear  that  the  word 
“type” reflects  the  different  kinds  of  autonomous 
information  collections,  the  word  “format” reflects  the 
medium  that  information  is  stored  and  the  word  “subject”
reflects  the  thematic  divisions  that  collected  information 
refers. 

The work presented in this paper seeks to gain better insight 
of  geospatial  data  that  academic  libraries  are  interest  of 
nowadays that the public concern about them is growing up. 
Our  research  regarding  “types”,  “formats” and  “subjects” of 
geospatial  data  that  academic  libraries  demonstrate  in  their 
GCDPs indicates  their  transition  to  digital  era.  Through  their 
collections  and  the  way  they  build  them  prove  that  are 
dynamic  organizations  capable  to  transform  their  services 
according  their  user  needs  and  the  adoption  of  new 
technologies.  The  variety  of  formats,  types  and  subjects  of 
geospatial  data  that  libraries  sustain  is  another  indicator  of 
their  importance  for  education  and  research.  The  rapid 
development  of  web  applications  related  to  geographical 
information does not seem to affect the traditional collection 
building  as  the  diversity  of  data  has  shown.  Finally,  the 
variety  in  which  geospatial  data  can  be  viewed  or  collected 
proves their specific nature.

Future Work
Further work regarding data is yet to be done since this initial
work  was  exploratory.  Expanding  this  research  in  other  types 
of libraries such as  National Libraries  or  Public  ones  will  allow 
us  to  have  an  overview  of  geospatial  data  held  by  libraries 
worldwide.  Furthermore,  study  of  particular  issues  related  to 
the  universities  own  data  and  the  kinds  of  metadata  they  use 
is a topic that needs additional research.
Fig.3a:Subject (Physical Geography) in Academic Libraries

References
•Bennett, T.B. & Nicholson, S.W. (2007) Research Libraries: 
Connecting Users to Numeric and Spatial Resources. Social 
Science Computer Review, 25(3), p.302‐318.

Fig.1: Types of Geospatial Data in  Academic Libraries

Methodology

Discussion

•Erwin,  T.  and Sweetkind‐Singer,  J.(2010) The National
Geospatial Digital Archive:  A Collaborative Project  to Archive
Geospatial Data.  Journal of Map And Geography Libraries,  6 
(1), pp. 6 — 25

The  same  procedure  we  followed  in  answering  the  question 
regarding  formats  that  libraries  use  to  collect  for  covering  their 
patrons’ needs  in  which  we  conclude  that  the  most  useable 
formats are CD’s, DVD’S and raster.

•Florance,  P.  (2006)  GIS  collection  development  within  an 
academic library. Library Trends, 55(2), pp.222‐235.
•Hahn, K.L. and Schmidt, K. (2005). Web communications and 
collections outreach to faculty. College and Research Libraries, 
66(1), pp. 28‐40
•Janee,  G.  (2009)  Preserving  Geospatial  Data: The  National 
Geospatial 
Digital 
Archive’s 
Approach. 
http://www.ngda.org/papers.html
•Vardakosta,  I.  and Kapidakis,  S.  (2011)  Geospatial  collection 
development  policies  in  academic  libraries:  a  worldwide 
research.  In 17th  European  Colloquium  on  Quantitative  and 
Theoretical 
Geography 
(ECQTG2011) 
http://eprints.rclis.org/handle/10760/16096#.T0‐PsHncC2o
Fig.3b:Subject (Human Geography) in Academic Libraries

Xia, J. (2012) Metrics to measure open geospatial data quality in 
Issues in Science and Technology Librarianship, Winter 
http://www.istl.org/12‐winter/article1.html [assessed 23/3/12]

Acknowledgments
Fig.2: Formats of Geospatial Data in  Academic Libraries

Authors wish to thank Dr Maria Monopoli and Ms Anna 
Mastora for their useful advice.

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Geospatial Data in Library Collections

  • 1. Geospatial data in library collections Ifigenia Vardakosta and Sarantos Kapidakis Laboratory on Digital Libraries and Electronic Publishing Department of Archives and Library Science Ionian University {ifigenia, sarantos}@ionio.gr Introduction Spatial  data  is  from  its  nature  eminently  fuzzy  and  have  characteristics  which  differentiate  them  from  other  data  such  as  heterogeneity,  volume,  the  need  to  be  updated  over  time  etc  (Janee,  2009; Erwin  &  Sweetkind‐Singer,  2010).  Libraries  as  the  main  organizations  for  collecting,  managing  and  disseminating  information,  in  response  to  the  growing  needs  of  their  users,  collect  geographic  information and develop GIS services. As the value of a GIS  is  dependent  on  the  quality  of  the  data  contained  in  the  system,  makes  data  undoubtedly  the  most  important  component of a GIS since their ability to be combined with  many  datasets  adds  more  value  to  them.  The  purpose  of  this paper is to investigate the types of geospatial data and  their  formats  as  they  are  presented  in  geographical  collections that academic libraries sustain. Results The  elements  related  to  “types”,  “formats” and  “subject” of  geospatial  data  in  academic  libraries  collections,  as  they  appear in their websites were examined in the current survey.  Our  investigation  identified  a  variety  of  different  kinds  of  digital  data  as  shown  in  Fig.1.  Synonym  words  (e.g.  views/photos) grouped together and the number of policies in  which  it  appears  was  noted.  Results  ranked  according  the  number of times the specific word was mentioned in the text  of  policies.  Aerial  view/photos,  atlases  and  datasets  consist  the most common types of data collections. Subject categories that libraries choose to offer to their  users  include  both  Physical  and  Human  Geography.  Under those two  broad  categories  are a  wide  range  of  subcategories  which  also  grouped  and  ranked  according  their  present  in  policies’ texts.  Thus,  Topography,  Geology  and  Environmental  aspects  are  the  main  thematic  fields  from  “Physical  Geography” category  (Fig.  3a)  while  Historical  events,  Political  and  Administrative  Divisions,  Socio‐economic  patterns  and  Transportation  systems  are  at  the  top  of  priorities  for  “Human Geography” (Fig. 3b). Aims and Objectives Despite  the  great  amount  of  literature  concerning  GIS  services  implementation  and  GIS  data,  no  empirical  assessment  has  yet  been  available  for  types  and  formats  of GIS data that are distributed through academic libraries  that have developed geographical collections. In the digital  era  where  many  applications  of  geographical  information  have been adopted in everyday life (PDA’s, mobile phones  etc),  those  data  sustain  one  of  the  main  “traditional” organized collections provided in library environment. The  intension  of  this  study  is  to  explore  the  geospatial  data  that  libraries  with  geographical  collections  maintain. Therefore,  the  research  questions  formed  in  this  context  are: 1)  What  are  the  main  types  of  geospatial  data  that  libraries collect? 2) In what format geospatial data are collected? 3)  What  are  the  main  subjects  categories  that  libraries  choose to offer to their users? This  research  follows  on  our  initial  research  related  to  academic  libraries  around  the  world  that  provide  geographical  collections  and  GIS  services  (Vardakosta  &  Kapidakis,  2011).  More  specifically,  we  choose  to  research  the  websites  of  24  academic  libraries  worldwide  that  in  a  previous  research  we  reveal  the  characteristics  of  their  geospatial  collection  development  policies  (Vardakosta and  Kapidakis,  2012)  so  to  record  the  information  related  to  types,  subject  and  format  of  data.  Our  intention  to  follow  this method was based on these findings and particularly on  those  that  relates  geospatial  collection  development  policies  with provided  data. To answer the  aforementioned  questions  our  study  adopts  the  content  analysis  method  (Robson,  2002;  Hahn  &  Schmidt,  2005  ;  Bennett  &  Nicholson,  2007).  Thus,  our  study  was  focused  on  investigating the policies’ text of those 24 academic libraries  and  attempting  to  make  a  categorization  of  elements  browsing  for  “types” or  “kind”,  “format” and  “subject” of  content. This  categorization  that  took  place  after  the  libraries’ websites  were  evaluated  helped  us  group  the  different aspects of our main heading which was “geospatial  data”. For  this  study  needs  should  be  clear  that  the  word  “type” reflects  the  different  kinds  of  autonomous  information  collections,  the  word  “format” reflects  the  medium  that  information  is  stored  and  the  word  “subject” reflects  the  thematic  divisions  that  collected  information  refers.  The work presented in this paper seeks to gain better insight  of  geospatial  data  that  academic  libraries  are  interest  of  nowadays that the public concern about them is growing up.  Our  research  regarding  “types”,  “formats” and  “subjects” of  geospatial  data  that  academic  libraries  demonstrate  in  their  GCDPs indicates  their  transition  to  digital  era.  Through  their  collections  and  the  way  they  build  them  prove  that  are  dynamic  organizations  capable  to  transform  their  services  according  their  user  needs  and  the  adoption  of  new  technologies.  The  variety  of  formats,  types  and  subjects  of  geospatial  data  that  libraries  sustain  is  another  indicator  of  their  importance  for  education  and  research.  The  rapid  development  of  web  applications  related  to  geographical  information does not seem to affect the traditional collection  building  as  the  diversity  of  data  has  shown.  Finally,  the  variety  in  which  geospatial  data  can  be  viewed  or  collected  proves their specific nature. Future Work Further work regarding data is yet to be done since this initial work  was  exploratory.  Expanding  this  research  in  other  types  of libraries such as  National Libraries  or  Public  ones  will  allow  us  to  have  an  overview  of  geospatial  data  held  by  libraries  worldwide.  Furthermore,  study  of  particular  issues  related  to  the  universities  own  data  and  the  kinds  of  metadata  they  use  is a topic that needs additional research. Fig.3a:Subject (Physical Geography) in Academic Libraries References •Bennett, T.B. & Nicholson, S.W. (2007) Research Libraries:  Connecting Users to Numeric and Spatial Resources. Social  Science Computer Review, 25(3), p.302‐318. Fig.1: Types of Geospatial Data in  Academic Libraries Methodology Discussion •Erwin,  T.  and Sweetkind‐Singer,  J.(2010) The National Geospatial Digital Archive:  A Collaborative Project  to Archive Geospatial Data.  Journal of Map And Geography Libraries,  6  (1), pp. 6 — 25 The  same  procedure  we  followed  in  answering  the  question  regarding  formats  that  libraries  use  to  collect  for  covering  their  patrons’ needs  in  which  we  conclude  that  the  most  useable  formats are CD’s, DVD’S and raster. •Florance,  P.  (2006)  GIS  collection  development  within  an  academic library. Library Trends, 55(2), pp.222‐235. •Hahn, K.L. and Schmidt, K. (2005). Web communications and  collections outreach to faculty. College and Research Libraries,  66(1), pp. 28‐40 •Janee,  G.  (2009)  Preserving  Geospatial  Data: The  National  Geospatial  Digital  Archive’s  Approach.  http://www.ngda.org/papers.html •Vardakosta,  I.  and Kapidakis,  S.  (2011)  Geospatial  collection  development  policies  in  academic  libraries:  a  worldwide  research.  In 17th  European  Colloquium  on  Quantitative  and  Theoretical  Geography  (ECQTG2011)  http://eprints.rclis.org/handle/10760/16096#.T0‐PsHncC2o Fig.3b:Subject (Human Geography) in Academic Libraries Xia, J. (2012) Metrics to measure open geospatial data quality in  Issues in Science and Technology Librarianship, Winter  http://www.istl.org/12‐winter/article1.html [assessed 23/3/12] Acknowledgments Fig.2: Formats of Geospatial Data in  Academic Libraries Authors wish to thank Dr Maria Monopoli and Ms Anna  Mastora for their useful advice.