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Journal Cover   Program: Electronic Library and Information Systems
  [SJR: 0.554]   [H-I: 14]   [310 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0033-0337
   Published by Emerald Homepage  [312 journals]
  • EM3B2—A Semantic Integration Engine for Materials Science
    • Authors: Chongchong Zhao, Chao Dong, Xiaoming Zhang
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose The integration and retrieval of the vast data have attracted sufficient attention, thus the W3C workgroup releases R2RML to standardize the transformation from relational data to semantic-aware data. However, it only provides a data transform mechanism to RDF. The generation of mapping alignments still needs manual work or other algorithms. Therefore, the purpose of this paper is to propose a domain-oriented automatic mapping method and an application of the R2RML standard. Design/methodology/approach In this paper, materials science is focused to show an example of domain-oriented mapping. SFC (Source Field Concept) and M3B2 (Metal Materials Mapping Background Base) knowledge bases are established to support the auto-recommending algorithm. As for the generation of RDF files, our idea is to generate the triples and the links respectively. The links of the triples follow the object-subject relationship, and the links of the object properties can be achieved by the range individuals and the trail path. Findings Consequently based on our previous work, we proposed EM3B2, a semantic integration engine for materials science. EM3B2 not only offers friendly graphical interfaces, but also provides auto-recommending mapping based on materials knowledge to enable users to avoid vast manually work. The experimental result indicates that EM3B2 supplies accurate mapping. Moreover, the running time of E3MB2 is also competitive as classical methods. Originality/value This paper proposed EM3B2 semantic integration engine, which contributes to the RDB-to-RDF mapping by the application of W3C R2RML standard and the domain-oriented mapping.
      Citation: Program
      PubDate: 2015-11-13T09:19:45Z
      DOI: 10.1108/PROG-01-2015-0004
    • Authors: Devika Madalli, Anila Sulochana, Abhinav Kumar Singh
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of Semantic Web, matter has got equal importance among the ontology developers. The current work describes an ontology of matter that we developed in our lab. Main purpose is to come up with an exhaustive list of concepts and relations to cover matter domain under one umbrella, after identifying the gaps in the present ontologies. Design/methodology/approach Ontology was developed following faceted analytico-synthetic approach of knowledge organization. We followed hybrid developmental approach which includes top-down as well as bottom-up development strategy, for creating classes and subclasses. We modeled matter domain comprehensively considering different aspects of matter. The theories behind the modeling approach helps to maintain the consistency of further extensions. Findings Final ontology has around 280 concepts and as many as 60 properties which include both object property and datatype property. Research limitations/implications There exists very vague definition of concepts in different subject areas, as matter is a domain of study in physics, chemistry, material science, metallurgy, etc. Same material has been adopted differently depending upon purpose of its study/use in that field. For example aspirin is simply a chemical compound in chemistry, whereas in medicine it is also an agent. Practical implications Present work claims to influence the ontology engineers to develop more extension to this core ontology of matter. Also this will find its use in information retrieval, semantic annotations and in several other semantic knowledge based systems. Originality/value Core ontology of matter is the most recent work of the domain. Originality lies in the way matter domain has been looked up, from a very wide perspective, as well as in the approach of modeling the domain.
      Citation: Program
      PubDate: 2015-11-13T09:19:44Z
      DOI: 10.1108/PROG-01-2015-0002
  • Performance and Accuracy Analysis of Semantic Kernel Functions
    • Authors: Manoj Manuja, Deepak Garg
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose Syntax based text classification (TC) mechanisms have been overtly replaced by semantic based systems in recent years. Semantic based TC systems are particularly useful in those scenarios where similarity among documents is computed considering semantic relationships among their terms. Kernel functions have received major attention because of the unprecedented popularity of SVMs in the field of TC. Most of the kernel functions exploit syntactic structures of the text, but quite a few also use a-priori semantic information for knowledge extraction. Investigation of semantic kernel functions in the context of TC is the purpose of this research. Design/methodology/approach This work presents performance and accuracy analysis of seven semantic kernel functions (Semantic Smoothing Kernel, Latent Semantic Kernel, Semantic WordNet-based Kernel, Semantic Smoothing Kernel having Implicit Superconcept Expansions, CoBD Kernel function, Omiotis-based S-VSM semantic kernel function and Top-k S-VSM semantic kernel) being implemented with SVM as kernel method. All seven semantic kernels are implemented in SVM-Light tool. Findings Performance and accuracy parameters of seven semantic kernel functions have been evaluated and compared. The experimental results show that Top-k S-VSM semantic kernel has the highest performance and accuracy among all the evaluated kernel functions which make it a preferred building block for kernel methods for text classification and retrieval. Research limitations/implications A combination of semantic kernel function with syntactic kernel function needs to be investigated as there is a scope of further improvement in terms of accuracy and performance in all the seven semantic kernel functions. Practical implications This research provides an insight into text classification using a-priori semantic knowledge. Three commonly used datasets are being exploited. It will be quite interesting to explore these kernel functions on live web data which may test their actual utility in real business scenarios. Originality/value Comparison of performance and accuracy parameters is the novel point of this research paper. To the best of our knowledge, this type of comparison has not been done previously.
      Citation: Program
      PubDate: 2015-11-13T09:19:43Z
      DOI: 10.1108/PROG-04-2014-0028
  • Exploring the dynamic contribution behavior of editors in wikis based on
           time series analysis
    • Authors: Linghe Huang, Qinghua Zhu, Jia Tina Du, Baozhen Lee
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose Wiki is a new form of information production and organization, which has become one of the most important knowledge resources. In recent years, with the increase of users in wikis, “free rider problem” has been serious. In order to motivate editors to contribute more to a wiki system, it is important to fully understand their contribution behavior. The purpose of this paper is to explore the law of dynamic contribution behavior of editors in wikis. Design/methodology/approach After developing a dynamic model of contribution behavior, we employed both the metrological and clustering methods to process the time series data. The experimental data were collected from Baidu Baike, a renowned Chinese wiki system similar to Wikipedia. Findings There are four categories of editors: “testers”, “dropouts”, “delayers” and “stickers”. Testers, who contribute the least content and stop contributing rapidly after editing a few articles. After editing a large amount of content, dropouts stop contributing completely. Delayers are the editors who do not stop contributing during the observation time, but they may stop contributing in the near future. Stickers, who keep contributing and edit the most content, are the core editors. In addition, there are significant time-of-day and holiday effects on the number of editors’ contributions. Originality/value By using the method of time series analysis, some new characteristics of editors and editor types were found. Compared with the former studies, this research also had a larger sample. Therefore, the results are more scientific and representative and can help managers to better optimize the Wiki systems and formulate incentive strategies for editors.
      Citation: Program
      PubDate: 2015-11-13T09:19:42Z
      DOI: 10.1108/PROG-06-2013-0034
  • The Information Resources Utilization Index: a Case Study in China
    • Authors: chaolemen borjigen, Huiling Feng, Bin Zhang, Chaolemen Borjigin
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose This paper aims to introduce a novel method for measuring the utilization of information resources in order to provide a complementary index for existing information development indices and to reveal the links between the use of information resources and the readiness of ICT. Design/methodology/approach This research mainly employs three types of research methodologies: Literature study was conducted for defining the term of information resources and for finding the common features of the relevant indices; Methods to construct composite indicators are used for developing a theoretical framework, selecting variables, imputation of missing data, normalization of data, weighting and aggregation of the novel index; A case study is carried out to provide a typical application for the index and to reveal the underlying links between the use of information resources and the readiness of ICT. Findings This paper for the first time proposes a method to measure the utilization of information resources from a Chinese perspective and provides its theoretical foundations, conceptual frameworks, main steps and curial techniques. Further, correlations between the use of information resources and the readiness of ICT in China between 2009 and 2011 are also descried. Practical implications Measuring the utilization of information resources provides the authorities with an alternative tool to monitor the evolutions a country toward information society. In addition, the novel index presented in this paper can also serve as a method to indentify the gaps among regions in deploying their information resources. Originality/value This is the first paper to introduce a new measure for utilization of information resources and is also the first paper to reveal links between the use of information resources and the readiness of ICT as well as GDP in China.
      Citation: Program
      PubDate: 2015-11-13T09:19:42Z
      DOI: 10.1108/PROG-07-2013-0041
  • Unifying Heterogeneous and Distributed Information about Marine Species
           through the Top Level Ontology MarineTLO
    • Authors: Yannis Tzitzikas, Carlo Allocca, Chryssoula Bekiari, Yannis Marketakis, Pavlos Fafalios, Martin Doerr, Nikos Minadakis, Theodore Patkos, Leonardo Candela
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all Marine Species data. Moreover, information on marine species are made available through different formats and protocols. Our research aims at providing models and methods that allow integrating such information either for publishing it, browsing it, or querying it. Aiming at providing a valid and reliable knowledge ground for enabling semantic interoperability of marine species data, in this paper we motivate a top level ontology, called MarineTLO and discuss its use for creating MarineTLO-based warehouses. Design/methodology/approach In this paper we introduce a set of motivating scenarios that highlight the need of having a top level ontology. Afterwards we describe the main data sources (FLOD, ECOSCOPE, WoRMS, FishBase, and DBpedia) that will be used as a basis for constructing the MarineTLO. Findings The paper discusses about the exploitation of MarineTLO for the construction of a warehouse. Furthermore a series of uses of the MarineTLO-based warehouse is being reported. Originality/value In this paper we described the design of a Top Level Ontology for the marine domain able to satisfy the need for maintaining integrated sets of facts about marine species and thus assisting ongoing research on biodiversity. Apart from the ontology we also elaborated with the mappings that are required for building integrated warehouses.
      Citation: Program
      PubDate: 2015-11-13T09:19:40Z
      DOI: 10.1108/PROG-10-2014-0072
  • Analyzing the complementarity of web infrastructure and eInnovation for
           business value generation
    • Authors: Simona Popa, Pedro Soto-Acosta, Euripidis Loukis; Euripidis
      Abstract: Program, Volume 50, Issue 1, February 2016.
      Purpose In recent years, there has been much debate about the value generated by the firms’ investments in Information Technology (IT). Although literature suggests that technology itself will rarely create superiority, Web infrastructure can be critical for knowledge sharing and the formation of virtual teams to execute innovation processes which, in turn, may enhance e-Innovation and business value. Building on these antecedents, this study seeks to explore whether and how Web infrastructure and e-Innovation can create business value by complementing each other. Design/methodology/approach Based on the Resource-Based View (RBV) of the firm this paper develops a conceptual model to assess the effects of Web infrastructure and e-Innovation on business value as well as the complementarity between these resources. To test the associated hypotheses, a regression model was estimated and tested on a large sample of Spanish firms from different industries. Findings The results show that Web infrastructure is not positively related to business value, but on the contrary e-innovation has a positive impact on business value. However, support for complementarity between Web infrastructure and e-Innovation was not found. Originality/value The present study tests the RBV logic, arguing that not all IT resources are source of competitive advantage. In the same vein, this study shows that e-Innovation, as it requires combination of IT infrastructure with other unique intangible resources, is much more difficult to imitate, leading to competitive advantages.
      Citation: Program
      PubDate: 2015-11-13T09:19:39Z
      DOI: 10.1108/PROG-09-2015-0065
  • Editorial
    • Authors: Andrew Cox
      Abstract: Program, Volume 49, Issue 4, September 2015.

      Citation: Program
      PubDate: 2015-08-08T12:24:09Z
      DOI: 10.1108/PROG-08-2015-0055
  • Research data management and openness: The role of data sharing in
           developing institutional policies and practices
    • Authors: Rosie Higman, Stephen Pinfield
      First page: 364
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose To investigate the relationship between research data management (RDM) and data sharing in the formulation of RDM policies and development of practices in higher education institutions (HEIs). Design/methodology/approach Two strands of work were undertaken sequentially: firstly, content analysis of 37 RDM policies from UK HEIs; secondly, two detailed case studies of institutions with different approaches to RDM based on semi-structured interviews with staff involved in the development of RDM policy and services. The data are interpreted using insights from Actor Network Theory. Findings RDM policy formation and service development has created a complex set of networks within and beyond institutions involving different professional groups with widely varying priorities shaping activities. Data sharing is considered an important activity in the policies and services of HEIs studied, but its prominence can in most cases be attributed to the positions adopted by large research funders. Research limitations/implications The case studies, as research based on qualitative data, cannot be assumed to be universally applicable but do illustrate a variety of issues and challenges experienced more generally, particularly in the UK. Practical implications The research may help to inform development of policy and practice in RDM in HEIs and funder organisations. Originality/value This paper makes an early contribution to the RDM literature on the specific topic of the relationship between RDM policy and services, and openness – a topic which to date has received limited attention.
      Citation: Program
      PubDate: 2015-08-08T12:24:26Z
      DOI: 10.1108/PROG-01-2015-0005
  • Variability in academic research data management practices: implications
           for data services development from a faculty survey
    • Authors: Amanda Lea Whitmire, Michael Boock, Shan C. Sutton
      First page: 382
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose The purpose of this case study is to demonstrate how knowledge of local research data management (RDM) practices critically informs the progressive development of data services (RDS) after basic services have already been established. Design/methodology/approach An online survey was distributed via email to all university faculty in the fall of 2013, and was left open for just over one month. We sent two reminder emails before closing the survey. Survey data were downloaded from Qualtrics survey software and analyzed in R. Findings In this paper, we reviewed a subset of survey findings that included data types, volume, and storage locations, RDM roles and responsibilities, and metadata practices. We found that OSU researchers are generating a wide variety of data types, and that practices vary between colleges. We discovered that faculty are not utilizing campus-wide storage infrastructure, and are maintaining their own storage servers in surprising numbers. Faculty-level research assistants perform the majority of data-related tasks at OSU, with the exception of data sharing, which is primarily handled by the professorial ranks. We found that many faculty on campus are creating metadata, but that there is a need to provide support in how to discover and create standardized metadata. Originality/value This paper presents a novel example of how to efficiently move from establishing basic RDM services to providing more focused services that meet specific local needs. It provides an approach for others to follow when tackling the difficult question of, “What next?” with regard to providing academic research data services.
      Citation: Program
      PubDate: 2015-08-08T12:24:19Z
      DOI: 10.1108/PROG-02-2015-0017
  • Using Participatory Design and Visual Narrative Inquiry to Investigate
           Researchers’ Data Challenges and Recommendations for Library
           Research Data Services
    • Authors: Eleanor Mattern, Wei Jeng, Daqing He, Liz Lyon, Aaron Brenner
      First page: 408
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose This paper reports on an information gathering study on users’ research data-related challenges and proposals for library research data services (RDS). This study probes how early career researchers visually conceptualize the research process in their disciplines, their self-reported research data challenges, and their recommendations for library RDS. Design/methodology/approach Two focus group sessions were undertaken with a total of eight early career researchers. Adopting the visual narrative inquiry method, the participants were asked to sketch the general research process in their domain. The individuals’ illustrations of the research process were then used as the basis for reflecting on their data-related needs and potential RDS that would assist them during the research process. Findings Participants presented a research process that was more personal and, in most cases, more imperfect than the research lifecycle models that academic libraries are increasingly using for RDS development and communication. We present their data-related challenges, which included data access barriers, low knowledge of best practices for research data management, an the need for a deeper understanding of post-publication impact, and inconsistent awareness of existing library and institution RDS. We outline RDS recommendations that participants proposed, which included a web-based tools, customized training sessions, and “distilled” guides to research data best practices. Practical implications The study flagged users’ gaps in understandings of existing library and institutional RDS, suggesting that there may be an opportunity to engage users in the design of communications plans for services. The findings from this user study will inform the development of RDS at our institution. Originality/value This paper puts forth a methodological approach that academic libraries can adapt for understanding users’ needs and user-generated design solutions.
      Citation: Program
      PubDate: 2015-08-08T12:24:06Z
      DOI: 10.1108/PROG-01-2015-0012
  • Building a research data management service for the London school of
           hygiene & tropical medicine
    • Authors: Gareth Knight
      Pages: 424 - 439
      Abstract: Program, Volume 49, Issue 4, Page 424-439, September 2015.
      Purpose – The purpose of this paper is to present a case study of work performed at the London School of Hygiene and Tropical Medicine to set-up a Research Data Management Service and tailor it to the needs of health researchers. Design/methodology/approach – The paper describes the motivations for establishing the RDM Service and outlines the three objectives that were set to improve data management practice within the institution. Each of the objectives are explored in turn, stating how they were addressed. Findings – A university with limited resources can operate a RDM Service that pro-actively supports researchers wishing to manage research data by monitoring evolving support needs, identifying common trends and developing resources that will reduce the time investment needed. The institution-wide survey identified a need for guidance on developing data documentation and archiving research data following project completion. Analysis of ongoing support requests identifies a need for guidance on data management plans and complying with journal sharing requirements. Research limitations/implications – The paper provides a case study of a single institution. The results may not be generally applicable to universities that support other disciplines. Practical implications – The case study may be helpful in helping other universities to establish an RDM Service using limited resources. Originality/value – The paper outlines how the evolving data management needs of public health researchers can be identified and a strategy that can be adopted by an RDM Service to efficiently address these requirements.
      Citation: Program
      PubDate: 2015-09-11T07:49:07Z
      DOI: 10.1108/PROG-01-2015-0011
  • Librarians as partners in research data service development at Griffith
    • Authors: Samantha Searle, Malcolm Wolski, Natasha Simons, Joanna Richardson
      First page: 440
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose The purpose of the paper is to describe the evolution to date and future directions in research data policy, infrastructure, skills development and advisory services in an Australian university, with a focus on the role of librarians. Design/methodology/approach The authors have been involved in the development of research data services at Griffith, and the case study presents observations and reflections arising from their first-hand experiences. Findings Griffith University's organisational structure and 'whole-of-enterprise' approach has facilitated service development to support research data. Fostering strong national partnerships has also accelerated development of institutional capability. Policies and strategies are supported by pragmatic best practice guidelines aimed directly at researchers. Iterative software development and a commitment to well-supported enterprise infrastructure enable the provision of a range of data management solutions. Training programs, repository support and data planning services are still relatively immature. Griffith recognises that information services staff (including librarians) will need more opportunities to develop knowledge and skills to support these services as they evolve. Originality/value This case study provides examples of library-led and library-supported activities that could be used for comparative purposes by other libraries. At the same time, it provides a critical perspective by contrasting areas of good practice within the University with those of less satisfactory progress. While other institutions may have different constraints or opportunities, some of the major concepts within this paper may prove useful to advance the development of research data capability and capacity across the library profession.
      Citation: Program
      PubDate: 2015-08-08T12:24:12Z
      DOI: 10.1108/PROG-02-2015-0013
  • New alliances for research and teaching support: Establishing the
           Göttingen eResearch Alliance
    • Authors: Birgit Schmidt
      First page: 461
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose The main aim of this paper is to describe the design and implementation of policies, digital infrastructures and hands-on support for eResearch at the University of Göttingen. Core elements of this activity are to provide support for research data management to researchers of all disciplines and to coordinate on-campus activities. These activities are actively aligned with disciplinary, national and international policies and e-infrastructures. Design/methodology/approach The process of setting up and implementing an institutional data policy and its necessary communications and workflows are described and analyzed. A first assessment of service development and uptake is provided in the area of embedded research data support. Findings A coordination unit for e-research brings together knowledge about methods and tools that are otherwise scattered across disciplinary units. This provides a framework for policy implementation and improves the quality of institutional research environments. Research limitations/implications Practical implications The study provides information about an institutional implementation strategy for infrastructure and services related to research data. The lessons learned allow insights into current challenges and work ahead. Originality/value With a cross-cutting, ‘horizontal’ approach, in the Göttingen eResearch Alliance, two research-orientated infrastructure providers, a library and an IT service, combine their services and expertise to develop an eResearch service and support portfolio for the Göttingen Campus.
      Citation: Program
      PubDate: 2015-08-12T12:24:30Z
      DOI: 10.1108/PROG-02-2015-0020
  • Research data management at the University of Bristol: charting a course
           from project to service
    • Authors: Debra Hiom, Dom Fripp, Stephen Gray, Kellie Snow, Damian Steer
      First page: 475
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose To chart the development of research data management services within the University of Bristol, from the initial Jisc funded project, through to pilot service and planned core funding of the service. Design/methodology/approach The paper provides a case study of the approach of the University of Bristol Library service to develop a sustainable Research Data Service. Findings It outlines the services developed during the project and pilot phases of the service. In particular it focusses on the sustainability planning to ensure that research data management is embedded as a core university service. Originality/value The case study provides practical advice and valuable insights into the issues and experiences of ensuring that research data management is properly valued and supported within universities.
      Citation: Program
      PubDate: 2015-08-08T12:24:16Z
      DOI: 10.1108/PROG-02-2015-0019
  • Research data management services for a multidisciplinary, collaborative
           research project: design and implementation of the TR32DB project database
    • Authors: Constanze Curdt, Dirk Hoffmeister
      First page: 494
      Abstract: Program, Volume 49, Issue 4, September 2015.
      Purpose Research data management (RDM) comprises all processes which ensure that research data are well-organized, documented, stored, backed up, accessible, and re-usable. RDM systems form the technical framework. The paper aims to present the design and implementation of a RDM system for an interdisciplinary, collaborative, long-term research project with focus on Soil-Vegetation-Atmosphere data. Design/methodology/approach The presented RDM system is based on a three-tier (client-server) architecture. This includes a file-based data storage, a databases-based metadata storage, and a self-designed user-friendly web-interface. The system is designed in cooperation with the local computing centre, where it is also hosted. A self-designed interoperable, project-specific metadata schema ensures the accurate documentation of all data. Findings A RDM system has to be designed and implemented according to requirements of project participants. General challenges and problems of RDM should be considered. Thus, a close cooperation with the scientists obtains the acceptance and usage of the system. Originality/value This paper provides evidence that the implementation of a RDM system in the provided and maintained infrastructure of a computing center offers many advantages. Consequently, the designed system is independent of the project funding. In addition, access and re-use of all involved project data is ensured. A transferability of the presented approach to another interdisciplinary research project was already successful. Furthermore, the designed metadata schema can be expanded according to changing project requirements.
      Citation: Program
      PubDate: 2015-08-08T12:24:22Z
      DOI: 10.1108/PROG-02-2015-0016
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