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Article
Publication date: 7 December 2020

Roberto Salazar-Reyna, Fernando Gonzalez-Aleu, Edgar M.A. Granda-Gutierrez, Jenny Diaz-Ramirez, Jose Arturo Garza-Reyes and Anil Kumar

The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning…

Abstract

Purpose

The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.

Design/methodology/approach

A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.

Findings

From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.

Research limitations/implications

The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.

Originality/value

To the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 13 May 2014

Anneke Zuiderwijk, Marijn Janssen, Sunil Choenni and Ronald Meijer

The purpose of this paper is to derive design principles for improving the open data publishing process of public organizations. Although governments create large amounts…

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Abstract

Purpose

The purpose of this paper is to derive design principles for improving the open data publishing process of public organizations. Although governments create large amounts of data, the publication of open data is often cumbersome and there are no standard procedures and processes for opening data, blocking the easy publication of government data.

Design/methodology/approach

Action design research (ADR) was used to derive design principles. The literature was used as a foundation, and discussion sessions with civil servants were used to evaluate the usefulness of the principles.

Findings

Barriers preventing easy and low-cost publication of open data were identified and connected to design principles, which can be used to guide the design of an open data publishing process. Five new principles are: start thinking about the opening of data at the beginning of the process; develop guidelines, especially about privacy and policy sensitivity of data; provide decision support by integrating insight in the activities of other actors involved in the publishing process; make data publication an integral, well-defined and standardized part of daily procedures and routines; and monitor how the published data are reused.

Research limitations/implications

The principles are derived using ADR in a single case. A next step can be to investigate multiple comparative case studies and detail the principles further. We recommend using these principles to develop a reference architecture.

Practical implications

The design principles can be used by public organizations to improve their open data publishing processes. The design principles are derived from practice and discussed with practitioners. The discussions showed that the principles could improve the publication process.

Social implications

Decreasing the barriers for publishing open government data could result in the publication of more open data. These open data can then be used to stimulate various public values, such as transparency, accountability, innovation, economic growth and informed decision- and policymaking.

Originality/value

Publishing data by public organizations is a complex and ill-understood activity. The lack of suitable business processes and the unclear division of responsibilities block publication of open data. This paper contributes to the literature by presenting design principles which can be used to improve the open data publishing process of public sector organizations.

Details

Transforming Government: People, Process and Policy, vol. 8 no. 2
Type: Research Article
ISSN: 1750-6166

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Article
Publication date: 18 July 2016

Lin He and Vinita Nahar

In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still…

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1012

Abstract

Purpose

In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still unknown. The purpose of this paper is to explore the functions of re-used scientific data in scholarly publication in different fields.

Design/methodology/approach

To address these questions, the authors identified 827 publications citing resources in the Dryad Digital Repository indexed by Scopus from 2010 to 2015.

Findings

The results show that: the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as agricultural, biology science, environment science and medicine; the majority of citations are from the originating articles; and researchers tend to reuse data produced by their own research groups.

Research limitations/implications

Dryad data may be re-used without being formally cited.

Originality/value

The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other’s data.

Details

Aslib Journal of Information Management, vol. 68 no. 4
Type: Research Article
ISSN: 2050-3806

Keywords

Open Access
Article
Publication date: 3 January 2022

Juliana Elisa Raffaghelli and Stefania Manca

Although current research has investigated how open research data (ORD) are published, researchers' behaviour of ORD sharing on academic social networks (ASNs) remains…

Abstract

Purpose

Although current research has investigated how open research data (ORD) are published, researchers' behaviour of ORD sharing on academic social networks (ASNs) remains insufficiently explored. The purpose of this study is to investigate the connections between ORDs publication and social activity to uncover data literacy gaps.

Design/methodology/approach

This work investigates whether the ORDs publication leads to social activity around the ORDs and their linked published articles to uncover data literacy needs. The social activity was characterised as reads and citations, over the basis of a non-invasive approach supporting this preliminary study. The eventual associations between the social activity and the researchers' profile (scientific domain, gender, region, professional position, reputation) and the quality of the ORD published were investigated to complete this picture. A random sample of ORD items extracted from ResearchGate (752 ORDs) was analysed using quantitative techniques, including descriptive statistics, logistic regression and K-means cluster analysis.

Findings

The results highlight three main phenomena: (1) Globally, there is still an underdeveloped social activity around self-archived ORDs in ResearchGate, in terms of reads and citations, regardless of the published ORDs quality; (2) disentangling the moderating effects over social activity around ORD spots traditional dynamics within the “innovative” practice of engaging with data practices; (3) a somewhat similar situation of ResearchGate as ASN to other data platforms and repositories, in terms of social activity around ORD, was detected.

Research limitations/implications

Although the data were collected within a narrow period, the random data collection ensures a representative picture of researchers' practices.

Practical implications

As per the implications, the study sheds light on data literacy requirements to promote social activity around ORD in the context of open science as a desirable frontier of practice.

Originality/value

Researchers data literacy across digital systems is still little understood. Although there are many policies and technological infrastructure providing support, the researchers do not make an in-depth use of them.

Peer review

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0255.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

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Book part
Publication date: 19 August 2019

Keith Maull and Matthew Mayernik

Abstract

Details

The New Metrics: Practical Assessment of Research Impact
Type: Book
ISBN: 978-1-78973-269-6

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Article
Publication date: 27 July 2010

Dragan Ivanović, Gordana Milosavljević, Branko Milosavljević and Dušan Surla

Entering data about published research results should be implemented as a web application that enables authors to input their own data without the knowledge of the…

Abstract

Purpose

Entering data about published research results should be implemented as a web application that enables authors to input their own data without the knowledge of the bibliographic standard. The aim of this research is to develop a research management system based on a bibliographic standard and to provide data exchange with other research management systems based on the Common European Research Information Format (CERIF) data model.

Design/methodology/approach

Object‐oriented methodology was used for information system modelling. The modelling was carried out using the computer‐aided software engineering (CASE) tool that supports the Unified Modelling Language 2.0 (UML 2.0). The implementation was realised using a set of open‐source solutions written in Java.

Findings

The result is a system for managing data about published research results. The main system features are the following: public access via the web; authors input data about their own publications by themselves; data about publications are stored in the MARC 21 format; and the user interface enables authors to input data without the knowledge of the MARC 21 format.

Research limitations/implications

A method of verifying accuracy of entered data has not been considered yet. It is necessary to allow authorised persons to verify the accuracy of the data. After verifying the accuracy the authors cannot change the data.

Practical implications

This software system has been verified and tested on data about published results of researchers employed at the University of Novi Sad in Serbia. This system can be used for evaluation and reporting on scientific research results, generating bibliographies of researchers, research groups and institutions etc.

Originality/value

A part of the research management system for entering data about authors and published results is implemented. Data about publications are stored in a bibliographic format and authors can input data about their own publications without the knowledge of the bibliographic standard. The main feature of the system architecture is mutual independence of the component for interaction with users and the component for persisting and retrieving data from the bibliographic records database.

Details

Program, vol. 44 no. 3
Type: Research Article
ISSN: 0033-0337

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Article
Publication date: 4 September 2019

Sirje Virkus and Emmanouel Garoufallou

Data science is a relatively new field which has gained considerable attention in recent years. This new field requires a wide range of knowledge and skills from different…

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1372

Abstract

Purpose

Data science is a relatively new field which has gained considerable attention in recent years. This new field requires a wide range of knowledge and skills from different disciplines including mathematics and statistics, computer science and information science. The purpose of this paper is to present the results of the study that explored the field of data science from the library and information science (LIS) perspective.

Design/methodology/approach

Analysis of research publications on data science was made on the basis of papers published in the Web of Science database. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, authors of publications, affiliations of the article authors and the most cited articles related to data science in the field of LIS? What are the main themes discussed in the publications from the LIS perspective?

Findings

The highest contribution to data science comes from the computer science research community. The contribution of information science and library science community is quite small. However, there has been continuous increase in articles from the year 2015. The main document types are journal articles, followed by conference proceedings and editorial material. The top three journals that publish data science papers from the LIS perspective are the Journal of the American Medical Informatics Association, the International Journal of Information Management and the Journal of the Association for Information Science and Technology. The top five countries publishing are USA, China, England, Australia and India. The most cited article has got 112 citations. The analysis revealed that the data science field is quite interdisciplinary by nature. In addition to the field of LIS the papers belonged to several other research areas. The reviewed articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences.

Research limitations/implications

The limitations of this research are that this study only analyzed research papers in the Web of Science database and therefore only covers a certain amount of scientific papers published in the field of LIS. In addition, only publications with the term “data science” in the topic area of the Web of Science database were analyzed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords such as “e-science,” “e-research,” “data service,” “data curation” or “research data management.”

Originality/value

The field of data science has not been explored using bibliographic analysis of publications from the perspective of the LIS. This paper helps to better understand the field of data science and the perspectives for information professionals.

Details

Data Technologies and Applications, vol. 53 no. 4
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 1 March 1999

Deborah R. Hollis and Margaret M. Jobe

With the aid of seed money from a federal grant, librarians at the University of Colorado at Boulder (CU Boulder) developed an online statistical abstract called Colorado

Abstract

With the aid of seed money from a federal grant, librarians at the University of Colorado at Boulder (CU Boulder) developed an online statistical abstract called Colorado by the Numbers (CBN). The last print version of the Colorado Statistical Abstract was published in 1987. CBN provides updated socio‐economic data about the state and its counties on the Web. Librarians have gone beyond the acquisition and maintenance of traditional printed information sources to producing tailor made resources that meet the information needs of their local community. The CBN design and management model is discussed.

Details

Library Hi Tech, vol. 17 no. 1
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 17 March 2020

Jiacheng Liu, Fei Yu and Lixin Song

This study aimed to examine how Medical Expenditure Panel Survey (MEPS) data have been used to support scientific discoveries in biomedical and health sciences, and…

Abstract

Purpose

This study aimed to examine how Medical Expenditure Panel Survey (MEPS) data have been used to support scientific discoveries in biomedical and health sciences, and provide insight to researchers who are interested in using MEPS regarding collaborations and dissemination of research output.

Design/methodology/approach

A bibliometric approach was used to systematically examine the publications that used MEPS data and were indexed by PubMed and Web of Science (WoS). Microsoft Excel and bibliometric tools (WoS and VOSviewer) were utilized for quantitative and bibliometric network analysis. The measures were investigated on the total number of publications by year, research categories, source journals, other datasets/databases co-used with MEPS, funding sources, collaboration patterns, and research topics.

Findings

A total of 1,953 eligible publications were included in this study with the numbers growing significantly over time. MEPS data were primarily used in healthcare services, public environmental and occupational health research. The journals that published the most papers using MEPS were all in the healthcare research area. Twenty-four other databases were found to be used along with MEPS. Over 3,200 researchers from 1,074 institutions in 25 countries have contributed to the publications. Research funding was supported from federal, private, local, and international agencies. Three clusters of research topics were identified among 235 key terms extracted from titles and abstracts.

Originality/value

Our results illustrated the broad landscape of the research efforts that MEPS data have supported and substantiated the value of AHRQ's effort of providing MEPS to the public.

Details

Library Hi Tech, vol. 38 no. 4
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 16 December 2019

Tsvetanka Georgieva-Trifonova, Kaloyan Zdravkov and Donika Valcheva

The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing…

Abstract

Purpose

The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review.

Design/methodology/approach

The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others.

Findings

The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories.

Originality/value

Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

Details

The Electronic Library , vol. 38 no. 1
Type: Research Article
ISSN: 0264-0473

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