scholarly journals Spatial Analytics Dashboards: Assisting Researchers to Select the Appropriate Tool

2021 ◽  
pp. 43-47
Author(s):  
Meg Miller
Keyword(s):  
Academic Library ◽  
Use Cases ◽  
Data Literacy ◽  
Spatial Analytics ◽  
Instructional Session

This review provides an overview of the following popular spatial analytics dashboard software: Tableau, PowerBI, ArcGIS Insights, ArcGIS Operations Dashboard and covers optimal use cases for each. Also included is a curriculum for an introductory one-shot instructional session on data literacy and research visualization using Operations Dashboard for ArcGIS in an academic library context.

Data literacy: in search of a name and identity

2015 ◽  
Vol 71 (2) ◽  
pp. 401-415 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Data Management ◽  
Information Literacy ◽  
Academic Library ◽  
The Body ◽  
Quality Data ◽  
Content Type ◽  
Data Literacy ◽  
Body Of Knowledge ◽  
Data Citation ◽  
Close Relationship

Purpose – The role of data literacy is discussed in the light of such activities as data a quality, data management, data curation, and data citation. The differing terms and their relationship to the most important literacies are examined. The paper aims to discuss these issues. Design/methodology/approach – By stressing the importance of data literacy in fulfilling the mission of the contemporary academic library, the paper centres on information literacy, while the characteristics of other relevant literacies are also examined. The content of data literacy education is explained in the context of data-related activities. Findings – It can be concluded that there is a need for data literacy and it is advantageous to have a unified terminology. Data literacy can be offered both to researchers, who need to become data literate science workers and have the goal to educate data management professionals. Several lists of competencies contain important skills and abilities, many of them indicating the close relationship between data literacy and information literacy. It is vital to take a critical stance on hopes and fears, related to the promises of widespread ability of (big) data. Originality/value – The paper intends to be an add-on to the body of knowledge about information literacy and other literacies in the light of research data and data literacy.

scholarly journals Reconsidering Literacy

2020 ◽  
Author(s):  
Audrey Powers ◽  
Marc Powers
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Media Literacy ◽  
Oral Presentation ◽  
Visual Literacy ◽  
Poster Session ◽  
Academic Library ◽  
Data Literacy ◽  
Term Paper ◽  
Printed Text

Literacy, until recently, was defined as the ability to read printed text and to understand the nuances of both the form and content of that printed text. More recently there has been a focus on subsets of literacy – data literacy, numeracy, visual literacy, media literacy, etc. – that recognizes the means of communicating ideas and facts are not limited to the printed text and that there are multiple means which may be more powerful ways of communicating in our world. In recent years, higher education has been redefining what it means to be educated – from a focus on specific bodies of knowledge, or disciplines, to a focus on developing and mastering skills for varying modes of inquiry. Simultaneously, there has been a growing focus on expanding how students and faculty communicate knowledge – what was once strictly the term paper approach is being replaced by the oral presentation, the poster session, or the artistic response. In a world where ideas are more readily communicated via social media such as YouTube, Instagram, Facebook and Twitter, the ability to accurately assess additional modes of communication is critical. This paper will explore different subsets of literacy, describe a method for developing mastery of those literacies in higher education, and advocate for academic library professionals to become specialists focused on literacies as much, if not more, than on content.

scholarly journals Data literacy for researchers and data librarians

2016 ◽  
Vol 49 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Literacy ◽  
Academic Library ◽  
Research Data ◽  
Review Of Literature ◽  
Data Literacy ◽  
Data Intensive ◽  
Research Data Management ◽  
Data Citation

This paper describes data literacy and emphasizes its importance. Data literacy is vital for researchers who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was undertaken on the importance of data, and the data-intensive paradigm of scientific research, researchers’ expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigation.

Libraries Meet Research 2.0

2017 ◽  
pp. 32-52 ◽  
Author(s):  
Tibor Koltay ◽  
Sonja Špiranec
Keyword(s):  
Data Management ◽  
Information Management ◽  
Information Literacy ◽  
Information Overload ◽  
Personal Information ◽  
Academic Library ◽  
Data Literacy ◽  
Data Intensive ◽  
Data Citation ◽  
Management Plans

This chapter is intended mainly for the researcher. Its main goal is to identify what services are already provided or could be planned by academic libraries, identified as important stakeholders in facilitating Research 2.0. Indicating the changing contexts of literacies, the focus is on research-related literacies, such as information literacy, academic literacy and data literacy, which pertain to the advisory and educational roles of the academic library. The ways of counterbalancing information overload, partially by personal information management are also described. After outlining the importance of data-intensive research, services facilitating research data management, (including the preparation of data-management plans) are portrayed. Issues of data curation, data quality and data citation, as well as the ways to identify professionals, who provide services to researchers, are outlined.

scholarly journals University of Manitoba GISHub

2021 ◽  
pp. 14-21
Author(s):  
Meg Miller ◽  
Mullai Manickavalli
Keyword(s):  
Academic Library ◽  
Local Environment ◽  
Access Point ◽  
Lessons Learned ◽  
Use Cases ◽  
Site License ◽  
Educational Site ◽  
University Of Manitoba ◽  
Geospatial Datasets ◽  
The University

This review provides an outline of the solution the University of Manitoba Libraries has implemented to integrate their ESRI Educational Site License. In looking at the tools available the project came to encompass the following:1. Semi-automated management and integration of UM ESRI site license using campus authentication methods2. Discovery and access point for proprietary and open researcher data3. Secure local environment for active-use geospatial datasets using ArcGIS EnterpriseThe following discusses the software specifics, use cases, and lessons learned in a Canadian academic library context.

scholarly journals Mapbox.js: an engaging open-source web mapping tool for teaching data visualization theory

2020 ◽  
pp. 32-37
Author(s):  
Meg Miller
Keyword(s):  
Open Source ◽  
Data Visualization ◽  
Academic Library ◽  
Data Literacy ◽  
Web Mapping ◽  
Mapping Tool

This review provides an overview of web mapping tools and discusses why and how Mapbox.jshas been an effective tool in the delivery of one-shot instructional sessions on data literacy andvisualization theory in an academic library context.

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