Pub Date : 2019-09-02DOI: 10.1080/15420353.2020.1755409
Andrzej Rutkowski, S. Williams
This article describes the process and outcomes of working with an undergraduate writing course as they created original scholarship for a digital map edition. Traditionally, library interventions ...
{"title":"From an Archive to a Digital Map Edition: Introducing the Spatial Turn to an Undergraduate Writing Course","authors":"Andrzej Rutkowski, S. Williams","doi":"10.1080/15420353.2020.1755409","DOIUrl":"https://doi.org/10.1080/15420353.2020.1755409","url":null,"abstract":"This article describes the process and outcomes of working with an undergraduate writing course as they created original scholarship for a digital map edition. Traditionally, library interventions ...","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2020.1755409","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48115638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-02DOI: 10.1080/15420353.2020.1719269
Jessica Perkins Smith, Jennifer McGillan
This case study will examine how tenure track faculty archivists in Special Collections at Mississippi State University worked to improve undergraduate primary source instruction through collaborat...
{"title":"Towards a More Collaborative Experience: Connecting Library and Departmental Faculty to Improve and Expand Archival Instruction","authors":"Jessica Perkins Smith, Jennifer McGillan","doi":"10.1080/15420353.2020.1719269","DOIUrl":"https://doi.org/10.1080/15420353.2020.1719269","url":null,"abstract":"This case study will examine how tenure track faculty archivists in Special Collections at Mississippi State University worked to improve undergraduate primary source instruction through collaborat...","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2020.1719269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47594157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/15420353.2019.1691902
N. Piekielek, Marcy Bidney
Sometimes the more things change, the more they seem to stay the same as the saying goes. This issue of the Journal of Map & Geography Libraries includes four articles that each highlight the age-old challenges of improving discovery, access, documentation, and use of spatial information, but each does so in contemporary, innovative, and/or important ways. The articles discuss new technologies like spatial data infrastructures, geoportals, accessible coding languages for manipulating spatial data, and documentation techniques—all of which enhance access to and use of spatial information. The articles also discuss the many challenges of organizing cumbersome collections, getting people to share data, learning new professional skills, and combining disparate documentation schemas. Technology is amazing and can help us in our work in many ways, and yet it will never solve all of our problems for us, and so the challenges continue. In the first article of this issue, authors Atumane and Cabral share the results of a survey of institutions in Mozambique that could contribute to a countrywide spatial data infrastructure (SDI). SDIs in Africa are becoming more common as is documented elsewhere in this journal (see Mwange et al. Volume 50, issue 360; https://doi.org/10.1080/00396265. 2016.1259720), but they are nonetheless a major challenge to initiate for both technical as well as social and political reasons. The authors wisely start with a survey of legal frameworks and the willingness and readiness of each potential government agency participant to contribute to an SDI that at its core would contain 15 thematic datasets served openly to Mozambique and the world. The authors conclude that the government agencies surveyed are in a good position to contribute in the near future and that furthermore, there are non-government entities that could also contribute to this important spatial data resource. However, the legal framework and political will to establish an SDI typically comes first from a central governing body. Speaking from personal experience, it can be a
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Pub Date : 2019-01-02DOI: 10.1080/15420353.2019.1659903
Stefan Jünger, Kerrin Borschewski, W. Zenk-Möltgen
In this article, we present documentation of the georeferenced social science survey data that are spatially linked to geospatial data attributes. We introduce the challenges of documentation, as different metadata standards are used for both data sources: social science survey data and geospatial data. In particular, we analyze the extent to which the social sciences metadata standard DDI Lifecycle is capable of incorporating the geosciences metadata standard ISO 19115. We find that the most challenging attributes to describe are those concerning the geographic structure of the geospatial data, especially if they stem from different sources. To navigate these issues, we developed and evaluated four workaround approaches which we demonstrate in a case study on the georeferenced German General Social Survey. Because not all of the approaches apply equally to every research project and institution, we provide a scheme to assist in making informed and weighted decisions.
{"title":"Documenting Georeferenced Social Science Survey Data: Limits of Metadata Standards and Possible Solutions","authors":"Stefan Jünger, Kerrin Borschewski, W. Zenk-Möltgen","doi":"10.1080/15420353.2019.1659903","DOIUrl":"https://doi.org/10.1080/15420353.2019.1659903","url":null,"abstract":"In this article, we present documentation of the georeferenced social science survey data that are spatially linked to geospatial data attributes. We introduce the challenges of documentation, as different metadata standards are used for both data sources: social science survey data and geospatial data. In particular, we analyze the extent to which the social sciences metadata standard DDI Lifecycle is capable of incorporating the geosciences metadata standard ISO 19115. We find that the most challenging attributes to describe are those concerning the geographic structure of the geospatial data, especially if they stem from different sources. To navigate these issues, we developed and evaluated four workaround approaches which we demonstrate in a case study on the georeferenced German General Social Survey. Because not all of the approaches apply equally to every research project and institution, we provide a scheme to assist in making informed and weighted decisions.","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"15 1","pages":"68 - 95"},"PeriodicalIF":0.6,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1659903","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45817117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/15420353.2019.1661933
Bruce Godfrey
The author discusses opportunities for enhancing discovery, explorability, and access for digital aerial imagery collections. These opportunities are informed by a user survey that was conducted to ascertain what properties of aerial imagery users are most interested in when exploring these data, and to learn what methods of access are most desired in order to utilize these data. Conclusions are drawn from the survey results that can be used by GIS librarians to guide their digital georeferenced and non-georeferenced aerial imagery management activities in order to more effectively provide discovery, exploration, and access services for these data.
{"title":"Opportunities to Enhance Discovery, Explorability, and Access for Digital Aerial Imagery Collections","authors":"Bruce Godfrey","doi":"10.1080/15420353.2019.1661933","DOIUrl":"https://doi.org/10.1080/15420353.2019.1661933","url":null,"abstract":"The author discusses opportunities for enhancing discovery, explorability, and access for digital aerial imagery collections. These opportunities are informed by a user survey that was conducted to ascertain what properties of aerial imagery users are most interested in when exploring these data, and to learn what methods of access are most desired in order to utilize these data. Conclusions are drawn from the survey results that can be used by GIS librarians to guide their digital georeferenced and non-georeferenced aerial imagery management activities in order to more effectively provide discovery, exploration, and access services for these data.","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"15 1","pages":"28 - 44"},"PeriodicalIF":0.6,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1661933","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59923433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/15420353.2019.1660754
Philip White, S. Powell
Geospatial librarianship has always been inherently tied to technology, requiring that GIS librarians have specialized computer literacy. In recent years, the push for open science, transparency, and improved reproducibility in research has led to increased use of open source geospatial technology. These developments have led to a blending of GIScience with the emerging field of Data Science, and many students and researchers are increasingly using free and open source programming languages to complement or replace traditional GIS software. New data formats, modern modes of data exchange, and the data as a service trend require an intricate understanding of computer science. If GIS librarians are to meet the needs of current and future patrons, code-literacy will soon be a necessity, yet a discussion of these tools and skills are lacking in the literature of geospatial librarianship. This paper discusses the present revolution in geospatial technology, recommending an integration of coding skills into the most elemental levels of the Core Competencies for GIS Librarianship. We review two programming languages, R and Python, for their suitability for librarians wishing to advance their technical skills by either learning a new language or learning to program for the first time. Drawing from our own experiences, we discuss the potential of coding to transform how GIS librarians engage with their work.
{"title":"Code-Literacy for GIS Librarians: A Discussion of Languages, Use Cases, and Competencies","authors":"Philip White, S. Powell","doi":"10.1080/15420353.2019.1660754","DOIUrl":"https://doi.org/10.1080/15420353.2019.1660754","url":null,"abstract":"Geospatial librarianship has always been inherently tied to technology, requiring that GIS librarians have specialized computer literacy. In recent years, the push for open science, transparency, and improved reproducibility in research has led to increased use of open source geospatial technology. These developments have led to a blending of GIScience with the emerging field of Data Science, and many students and researchers are increasingly using free and open source programming languages to complement or replace traditional GIS software. New data formats, modern modes of data exchange, and the data as a service trend require an intricate understanding of computer science. If GIS librarians are to meet the needs of current and future patrons, code-literacy will soon be a necessity, yet a discussion of these tools and skills are lacking in the literature of geospatial librarianship. This paper discusses the present revolution in geospatial technology, recommending an integration of coding skills into the most elemental levels of the Core Competencies for GIS Librarianship. We review two programming languages, R and Python, for their suitability for librarians wishing to advance their technical skills by either learning a new language or learning to program for the first time. Drawing from our own experiences, we discuss the potential of coding to transform how GIS librarians engage with their work.","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"15 1","pages":"45 - 67"},"PeriodicalIF":0.6,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1660754","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44282222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-02DOI: 10.1080/15420353.2019.1661932
A. Atumane, P. Cabral
The importance of access to spatial data for development and resource management is widely acknowledged worldwide. Unrestricted, reliable and efficient access to accurate, timely, and up-to-date spatial data may be achieved through a spatial data infrastructure. Thus, most developed countries implemented and continue to develop their spatial data infrastructure. In Africa, there is a growing number of governments committed to spatial data infrastructure development. This paper aims to contribute to initialize an spatial data infrastructure in Mozambique. We identified and characterized through a survey the government institutions producing, sharing, and using spatial data in the country to estimate their potential contribution to the development of the Mozambican spatial data infrastructure. We found 12 institutions producing 15 thematic datasets which can constitute the core of the spatial data infrastructure for Mozambique. Two government agencies have the technical skills and policies to make spatial data available to the public. Based on the possible contribution of these institutions, this paper proposes an spatial data infrastructure for Mozambique based on four pillars: i) organizational framework; ii) legal framework; iii) technical framework; and iv) accessibility.
{"title":"Challenges and Opportunities for Spatial Data Infrastructure Development in Mozambique","authors":"A. Atumane, P. Cabral","doi":"10.1080/15420353.2019.1661932","DOIUrl":"https://doi.org/10.1080/15420353.2019.1661932","url":null,"abstract":"The importance of access to spatial data for development and resource management is widely acknowledged worldwide. Unrestricted, reliable and efficient access to accurate, timely, and up-to-date spatial data may be achieved through a spatial data infrastructure. Thus, most developed countries implemented and continue to develop their spatial data infrastructure. In Africa, there is a growing number of governments committed to spatial data infrastructure development. This paper aims to contribute to initialize an spatial data infrastructure in Mozambique. We identified and characterized through a survey the government institutions producing, sharing, and using spatial data in the country to estimate their potential contribution to the development of the Mozambican spatial data infrastructure. We found 12 institutions producing 15 thematic datasets which can constitute the core of the spatial data infrastructure for Mozambique. Two government agencies have the technical skills and policies to make spatial data available to the public. Based on the possible contribution of these institutions, this paper proposes an spatial data infrastructure for Mozambique based on four pillars: i) organizational framework; ii) legal framework; iii) technical framework; and iv) accessibility.","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"15 1","pages":"27 - 7"},"PeriodicalIF":0.6,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1661932","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45482840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-02DOI: 10.1080/15420353.2019.1618428
John J. Swab, Matthew W. Wilson
Map cataloger and librarian Gwen Curtis, of the University of Kentucky, passed away on Sunday, December 16th, 2018 (Figure 1). Born in Lexington, Kentucky to a military family, Gwen’s early years w...
{"title":"Gwendolyn S. Curtis, Curator of Kentucky’s Largest Map Collection (December 5, 1950–December 16, 2018)","authors":"John J. Swab, Matthew W. Wilson","doi":"10.1080/15420353.2019.1618428","DOIUrl":"https://doi.org/10.1080/15420353.2019.1618428","url":null,"abstract":"Map cataloger and librarian Gwen Curtis, of the University of Kentucky, passed away on Sunday, December 16th, 2018 (Figure 1). Born in Lexington, Kentucky to a military family, Gwen’s early years w...","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"14 1","pages":"105 - 108"},"PeriodicalIF":0.6,"publicationDate":"2018-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1618428","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41435702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-02DOI: 10.1080/15420353.2019.1639994
Karen L Majewicz
Geo4LibCamp is a week-long meeting for anyone interested in how libraries can manage and provide access to geospatial resources. Hosted by Stanford University, the primary theme of the event is building spatial data infrastructures (SDIs) in libraries. On the technology side, this includes data repositories, metadata tools, geospatial web services, and discovery platforms. On the human interaction side, it includes strategies and techniques for delivering these resources to students, researchers, and faculty.
{"title":"Geo4LibCamp 2019 Conference Highlights","authors":"Karen L Majewicz","doi":"10.1080/15420353.2019.1639994","DOIUrl":"https://doi.org/10.1080/15420353.2019.1639994","url":null,"abstract":"Geo4LibCamp is a week-long meeting for anyone interested in how libraries can manage and provide access to geospatial resources. Hosted by Stanford University, the primary theme of the event is building spatial data infrastructures (SDIs) in libraries. On the technology side, this includes data repositories, metadata tools, geospatial web services, and discovery platforms. On the human interaction side, it includes strategies and techniques for delivering these resources to students, researchers, and faculty.","PeriodicalId":54009,"journal":{"name":"Journal of Map & Geography Libraries","volume":"14 1","pages":"132 - 135"},"PeriodicalIF":0.6,"publicationDate":"2018-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15420353.2019.1639994","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43491285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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