Social and Behavioral Sciences Commons^™

Lbsci 717: Digital Humanities, S E. Hackney

Open Educational Resources

This is a syllabus for a graduate-level introductory course on the Digital Humanities, primarily aimed at LIS students.

Awareness And Use Of Big Data Management Systems By Lecturers In Universities In Rivers State, Nigeria, Vincent Opara, Blessing Esuru Ahiauzu, Roseline Omolola Oladipupo

Library Philosophy and Practice (e-journal)

Abstract

The study investigated the awareness and use of Big Data management systems by lecturers in universities in Rivers State. The population comprised of lecturers in Three (3) public universities in Rivers State namely; University of Port Harcourt, Rivers State University and Ignatius Ajuru University of education. A structured online questionnaire was used to gather the data. 152 online responses were received, but 144 were useful for the analysis. The data was analysed using frequency of the simple percentages and mean scores. The result shows that lecturers are not aware of big data management system tools; however, they understand the …

Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander

School of Business: Faculty Publications and Other Works

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, …

2022 Top Trends In Academic Libraries, Alex D. Mcallister, Michael Flierl, Thomas R. Caswell, Laura Costello, Anita R. Hall, Cindy Li, Monica Maher, Mary Piorun, Patrice-Andre Prud’Homme, Brian D. Quigley, Gregory Walker

Library Faculty Presentations & Publications

This article summarizes trending topics in academic librarianship from the past two years–a time of tremendous upheaval and change, including a global pandemic, difficult reflections concerning racial justice, and war between nation states. Rapid changes and uncertainty from these events have created a significant amount of shifts to academic libraries, higher education, and society in general. Such shifts have yielded new perspectives and innovations in how librarians approach delivering services, supporting student success, managing staff and physical spaces, embracing new technology, and managing data. This report attempts to provide a snapshot of developments worth noting.

Theory Entity Extraction For Social And Behavioral Sciences Papers Using Distant Supervision, Xin Wei, Lamia Salsabil, Jian Wu

Computer Science Faculty Publications

Theories and models, which are common in scientific papers in almost all domains, usually provide the foundations of theoretical analysis and experiments. Understanding the use of theories and models can shed light on the credibility and reproducibility of research works. Compared with metadata, such as title, author, keywords, etc., theory extraction in scientific literature is rarely explored, especially for social and behavioral science (SBS) domains. One challenge of applying supervised learning methods is the lack of a large number of labeled samples for training. In this paper, we propose an automated framework based on distant supervision that leverages entity mentions …

Supporting Big Data Research At Case Western Reserve University, Jen Green, Ben Gorham, Roger Zender, Lee Zickel, Em Dragowsky

Researchers, Instructors, & Staff Scholarship

This report is an investigation of the research practices of faculty and research staff who utilize or support data science or big data methodologies at Case Western Reserve University (CWRU). The study was conducted by librarians and library staff within the Kelvin Smith Library (KSL) in collaboration with staff within CWRU University Technology ([U]tech), and was part of national selection of parallel studies occurring at public and private academic institutions throughout North America.

Analysis Of ‘Big Data’ Research Output In Ieeexplore : A Bibliometric Study, Shanmugam Rajeswari, Praveena Krish

Library Philosophy and Practice (e-journal)

The present study has been taken with the purpose of finding out the growth of literature of big data research output 3,48,512 articles has been collected from the period 2009-2018 from the IEEE Xplore and were analyzed to study year wise distribution, form wise distribution and , publisher distribution etc.

Mapping Of Research Output In The Field Of Big Data Analytics: Scientometric Study, Prachi Srivastava, Rupinder Singh, Sharad Kumar Sonkar

Library Philosophy and Practice (e-journal)

This study aims to determine the scientometric analysis of recent research output in the emerging field of Big Data Analytics from 2011 to 2020. The study of Big Data Analytics began in the last few years and has gained tremendous traction in a short period of time. It is now widely regarded as one of the most important developing study areas in computer sciences and related disciplines. The data has been obtained from the Scopus Database and excel and VOSviewer software used for the analysis; a total of 2304 research papers were evaluated. The study examines total output, growth in …

Consumerization Of It: Nexus Of Smac Technology Adoption By The Indian Libraries, Rajendra Babu

Library Philosophy and Practice (e-journal)

The study assesses awareness, use and adoption benefits of SMAC (Smart, Mobile, Analytics and Cloud Computing) Technologies among the LIS professionals working across the libraries of different strata in India. 235 responses obtained using a structured questionnaire and analysed using descriptive statistics method. 99.6% respondents use mobile phones, 58.7% post library activities using social media daily for this purpose 61.3% use Facebook, 52.8% use YouTube, 69.4 use WhatsApp, 31.5% use Facebook Messenger and 18.7% use Instagram. Majority use mobile apps for rendering services, 14.9% for searching catalogue, 11.9% for membership facilities, 8.5%, 10.6% for book renewal facilities and book reservation …

Research Performance In The Field Of Big Data In India: A Scientometric Analysis Based On Scopus Database, Dr.Suchetan Kumar, Md Safiqur Rahaman

Library Philosophy and Practice (e-journal)

Abstract: The present study has been carried out to find out the research performance in the field of big data in India during 2010-2019 as indexed in the Scopus database. A total 7502 research publication has been found in the Scopus during the 10 years period of 2010-2019 and were downloaded for analyze with the help of Microsoft excel and vosviewer. The study also provide comparative performance of different Scientometric parameters including total research productivity, yearly research output, authorship pattern, International collaboration, Institution wise collaboration, Degree of collaboration, RGR & DT, Source wise research publication, Subject wise publication, and most …

Big Data Investment And Knowledge Integration In Academic Libraries, Saher Manaseer, Afnan R. Alawneh, Dua Asoudi

Copyright, Fair Use, Scholarly Communication, etc.

Recently, big data investment has become important for organizations, especially with the fast growth of data following the huge expansion in the usage of social media applications, and websites. Many organizations depend on extracting and reaching the needed reports and statistics. As the investments on big data and its storage have become major challenges for organizations, many technologies and methods have been developed to tackle those challenges.

One of such technologies is Hadoop, a framework that is used to divide big data into packages and distribute those packages through nodes to be processed, consuming less cost than the traditional storage …

Big Data's Impact On Privacy For Librarians And Information Professionals, Lindsey M. Harper, Shannon M. Oltmann

Librarian Research

In a digital age, it is very difficult to maintain complete privacy when posting on social media or making purchases. Individual activity on the internet is increasingly collected by corporations, even with the user’s knowledge, and can be used to predict future behavior, purchasing choices or other sensitive subjects. This data analysis is often done without a user’s consent and in many cases presents unethical behavior and breaches of privacy. Big data can be beneficial to libraries in many ways, and if pointed at library systems, rather than the habits of patrons, can also keep privacy intact.

Copyright And The Use Of Images As Biodiversity Data [Forum Paper], Willi Egloff, Donat Agosti, Puneet Kishor, David J. Patterson, Jeremy A. Miller

Concepts in Animal Parasitology Textbook

Taxonomy is the discipline responsible for charting the world’s organismic diversity, understanding ancestor/descendant relationships, and organizing all species according to a unified taxonomic classification system. Taxonomists document the attributes (characters) of organisms, with emphasis on those can be used to distinguish species from each other. Character information is compiled in the scientific literature as text, tables, and images. The information is presented according to conventions that vary among taxonomic domains; such conventions facilitate comparison among similar species, even when descriptions are published by different authors.

There is considerable uncertainty within the taxonomic community as to how to re-use images that …

Beyond Compliance, Cecelia Parks

Library Publications

Privacy is governed by an array of laws in the United States, and this paper examines one facet of privacy regulation: the privacy of students’ academic records. The Family Educational Rights and Privacy Act (FERPA) protects the privacy of these records, but how do students understand their rights under FERPA, especially with the development of big data and learning analytics technologies that demand unprecedented sharing of student data? This paper begins to answer that question by examining existing literature on privacy in general and with regards to FERPA specifically. It suggests that FERPA places most of the power in controlling …

Remembering Me: Big Data, Individual Identity, And The Psychological Necessity Of Forgetting, Jacquelyn A. Burkell

FIMS Publications

Each of us has a personal narrative: a story that defines us, and one that we tell about ourselves to our inner and outer worlds. A strong sense of identity is rooted in a personal narrative that has coherence and correspondence (Conway, 2005): coherence in the sense that the story we tell is consistent with and supportive of our current version of ‘self’; and correspondence in the sense that the story reflects the contents of autobiographical memory and the meaning of our experiences. These goals are achieved by a reciprocal interaction of autobiographical memory and the self, in which memories …

Opportunities And Challenges In The Use Of Personal Health Data For Health Research, Matthew J. Bietz, Cinnamon S. Bloss, Scout Calvert, Job G. Godino, Judith Gregory, Michael P. Claffey, Jerry Sheehan, Kevin Patrick

UNL Libraries: Faculty Publications

Objective: Understand barriers to the use of personal health data (PHD) in research from the perspective of three stakeholder groups: early adopter individuals who track data about their health, researchers who may use PHD as part of their research, and companies that market self-tracking devices, apps or services, and aggregate and manage the data that are generated.

Materials and Methods: A targeted convenience sample of 465 individuals and 134 researchers completed an extensive online survey. Thirty-five hourlong semi-structured qualitative interviews were conducted with a subset of 11 individuals and 9 researchers, as well as 15 company/key informants.

Results: Challenges to …

The Paradox Of Privacy: Revisiting A Core Library Value In An Age Of Big Data And Linked Data, Grant D. Campbell, Scott Cowan

FIMS Publications

Protecting user privacy and confidentiality is fundamental to the ethics and practice of librarianship, and such protection constitutes one of eleven values in the American Library Association’s “Core Values of Librarianship” (2004). This paper addresses the concerns of protecting privacy in the library as they relate to library users who are defining, exploring, and negotiating their sexual identities with the help of the library’s information, programming, and physical facilities. In so doing, we enlist the aid of Garret Keizer, who, in Privacy (2012), articulates a fresh theory of the concept in light of American social life in the twenty-first century. …

Library Assessment And Data Analytics In The Big Data Era: Practice And Policies, Hsin-Liang Chen, Philip Doty, Carol Mollman, Xi Niu, Jen-Chien Yu, Tao Zhang

Library and Learning Resources Faculty Research & Creative Works

Emerging technologies have offered libraries and librarians new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. For example, Gallagher, Bauer and Dollar (2005) analyzed the paper and online journal usage from all possible data sources and discovered that users at the Yale Medical Library preferred the electronic format of articles to the print version. After this discovery, they were able to take necessary steps to adjust their journal subscriptions. Many library professionals advocate such data-driven library management to strengthen and specify library budget proposals.

Research Data Management And The Canadian Academic Library: An Organizational Consideration Of Data Management And Data Stewardship, Michael Steeleworthy

Library Publications

Research data management (RDM) has become a professional imperative for Canada’s academic librarians. Recent policy considerations by our national research funding agencies that address the ability of Canadian universities to effectively manage the massive amounts of research data they now create has helped library and university administrators recognize this gap in the research enterprise and identify RDM as a solution. RDM is not new to libraries, though. Rather, it draws on existing and evolving organizational functions in order to improve data collection, access, use, and preservation. A successful research data management service requires the skills and knowledge found in a …

Autonomous Indoor Localization For Fire Safety And Resource Location Via Field Mapping Techniques, Jaeyoung Kim, Kartik Ariyur, Yan Cui, Benjamin D. Branch, Joshua Ebung Umo

Libraries Faculty and Staff Presentations

An overall result of this collaboration between the Mechanical Engineering Dept. and the Purdue University Libraries (PUL) should result in building a big data framework that make have knowledge transfer for similar large scale geospatial data implementations. Such may promote best practices of data management where the library skill sets may aid faculty research and student learning. Here, the PUL is concerned with advancing the Mechanical Engineering‘s STEM pipeline capacity with this type of research, collaboration and data management engagement.

Autonomous Indoor Localization For Fire Safety And Resource Location Via Field Mapping Techniques (Android Version), Joshua Ebung Umo, Yan Cui, Kartik Ariyur, Benjamin D. Branch, Jaeyoung Kim

Libraries Faculty and Staff Presentations

An overall result of this collaboration between the Mechanical Engineering Dept. and the Purdue University Libraries (PUL) should result in building a big data framework that make have knowledge transfer for similar large scale geospatial data implementations. Such may promote best practices of data management where the library skill sets may aid faculty research and student learning. Here, the PUL is concerned with advancing the Mechanical Engineering‘s STEM pipeline capacity with this type of research, collaboration and data management engagement.

Autonomous Indoor Localization Via Field Mapping Techniques, With Agricultural Big Data Application, Yan Cui, Kartik Ariyur, Benjamin D. Branch

Libraries Faculty and Staff Presentations

This joint collaboration between the library, the Mechanical Engineering department shows the current research of localizing an Android smartphone using big data collection and sensor fusion techniques. The original work is Autonomous Indoor Localization via Field Mapping Techniques which primarily designed as indoor fire and safety aid.

For Agricultural Big Data Use, the Android smartphone is being applied to in indoor greenhouse fire, safety and data knowledge design. Such may aid big data tool value to greenhouse fire and safety design and any data that may be important fieldwork considerations.

The indoor agricultural mapping application may be application to greenhouses …

A Cris Data Science Investigation Of Scientific Workflows Of Agriculture Big Data And Its Data Curation Elements, Benjamin D. Branch, Peter N. Baker, Jai Xu, Elisa Bertino

Libraries Faculty and Staff Presentations

This joint collaboration between the Purdue Libraries and Cyber Center demonstrates the next generation of computational platforms supporting interdisciplinary collaborative research. Such platforms are necessary for rapid advancements of technology, industry demand and scholarly congruence towards open data, open access, big data and cyber-infrastructure data science training. Our approach will utilize a Discovery Undergraduate Research Investigation effort as a preliminary research means to further joint library and computer science data curation research, tool development and refinement.

Integrating Spatial Educational Experiences (Isee) – Mapping A New Approach To Teaching And Learning Soil Science, Bedrich Benes, Ronald J. Glotzbach, Hansoo Kim, Kavin M. Nataraja, Nicole Kong, Ann M. Bessenbacher, John G. Graveel, George E. Van Scoyoc, Phillip R. Owens, Wilella D. Burgess, Omolola A. Adedokun, Jia Liu, Benjamin D. Branch, Marianne S. Bracke, Minerva Dorantes

Libraries Faculty and Staff Presentations

The purpose of the Integrating Spatial Educational Experiences project is to develop the ability of our students to use digital maps: (1) to learn how and why soils and landscapes vary spatially at scales ranging from fields, to counties, states, and globally and (2) to learn how the spatial distribution of soils and landscapes impacts the distributions of land use, and environmental and ecosystem services across various scales. Our immediate audience is undergraduate students in soil, crop, natural resource, and environmental science curricula in colleges and universities, but the products created by this project will have broader uses for outreach …

Veracity Roadmap: Is Big Data Objective, Truthful And Credible?, Victoria Rubin, Tatiana Lukoianova

FIMS Publications

This paper argues that big data can possess different characteristics, which affect its quality. Depending on its origin, data processing technologies, and methodologies used for data collection and scientific discoveries, big data can have biases, ambiguities, and inaccuracies which need to be identified and accounted for to reduce inference errors and improve the accuracy of generated insights. Big data veracity is now being recognized as a necessary property for its utilization, complementing the three previously established quality dimensions (volume, variety, and velocity), But there has been little discussion of the concept of veracity thus far. This paper provides a roadmap …

The Role Of Big Data In The Social Sciences, Steven Ovadia

Publications and Research

This article explores the role of big data in the social sciences and reviews some online sources of large data sets.

Envisioning The Future Of Science Libraries At Academic Research Institutions, Carol Feltes, Donna S. Gibson, Holly Miller, Cathy Norton, Ludmila Pollock

Evans Library Publications

A group of librarians, other information professionals, scientists and research administrators met to discuss the challenges that research libraries are currently facing. After the meeting a survey was conducted to obtain additional input from the group on several key challenges that arose from the discussions. The purpose of the meeting and survey was threefold: 1) Examine in detail, from a variety of perspectives, how the world of research is changing and the impact these changes have on the direction of research libraries; 2) create and informed vision of how research libraries can be a vital partner of researchers; and 3) …

New England Technical Services Librarians Spring 2012 Conference: Ilibrary: Digital Futures For Libraries (May 3, 2012, Worcester, Ma), Andrée J. Rathemacher, Michael A. Cerbo Ii, Julia A. Lovett

Technical Services Department Faculty Publications

This report discusses the program of the 2012 New England Technical Services Librarians (NETSL) annual spring conference, held on Thursday, May 3 at the College of the Holy Cross in Worcester, Massachusetts, titled “iLibrary: Digital Futures for Libraries.” NETSL is a section of the New England Library Association and a regional group of the American Library Association.