{"title":"Exploring National Library of Scotland datasets with Jupyter Notebooks","authors":"Sarah Ames, Lucy Havens","doi":"10.1177/03400352211065484","DOIUrl":null,"url":null,"abstract":"The National Library of Scotland’s Digital Scholarship Service has been releasing collections as data on its data-delivery platform, the Data Foundry, since September 2019. Following the COVID-19 lockdown, this service experienced significantly higher traffic, as library users increasingly made use of online resources. To ensure that as many users as possible were able to explore the datasets on the Data Foundry, the Library invested in a Digital Research Intern post, with a remit to provide introductory analysis of the Data Foundry collections using Jupyter Notebooks. This article provides a case study of this project, explaining the Library’s work to date around its new Digital Scholarship Service and releasing datasets on the Data Foundry; the reasoning behind the decision to begin to provide Jupyter Notebooks; the Notebooks themselves and what types of analysis they contain, as well as the challenges faced in creating them; and the publication and impact of the Notebooks.","PeriodicalId":45334,"journal":{"name":"IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/03400352211065484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 2
Abstract
The National Library of Scotland’s Digital Scholarship Service has been releasing collections as data on its data-delivery platform, the Data Foundry, since September 2019. Following the COVID-19 lockdown, this service experienced significantly higher traffic, as library users increasingly made use of online resources. To ensure that as many users as possible were able to explore the datasets on the Data Foundry, the Library invested in a Digital Research Intern post, with a remit to provide introductory analysis of the Data Foundry collections using Jupyter Notebooks. This article provides a case study of this project, explaining the Library’s work to date around its new Digital Scholarship Service and releasing datasets on the Data Foundry; the reasoning behind the decision to begin to provide Jupyter Notebooks; the Notebooks themselves and what types of analysis they contain, as well as the challenges faced in creating them; and the publication and impact of the Notebooks.
期刊介绍：
IFLA Journal is an international journal which publishes original peer reviewed articles, a selection of peer reviewed IFLA conference papers, and news of current IFLA activities. Content is selected to reflect the variety of the international information profession, ranging from freedom of access to information, knowledge management, services to the visually impaired and intellectual property. The IFLA Journal aims to promote and support the aims and core values of IFLA as the global voice of the library and information profession by providing authoritative coverage and analysis of the activities of IFLA and its various constituent bodies and members, and those of other bodies with similar aims and interests.
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