scholarly journals Developing the Librarian Workforce for Data Science and Open Science

Author(s):  
Lisa Federer ◽  
Sarah C. Clarke ◽  
Maryam Zaringhalam

(Printer friendly version available in supplementary materials.) This report summarizes the discussions and major themes that emerged from a 1.5-day workshop on Developing the Librarian Data Science and Open Science Workforce held April 15-16, 2019 at the National Library of Medicine (NLM). The workshop aimed to identify the set of skills that librarians will need to advance work in data science and open science (DS/OS). Workshop participants included practitioners who provide DS/OS services, as well as faculty from schools of library and information science who are advancing DS/OS in academic settings.

2020 ◽  
Vol 44 (1) ◽  
pp. 72-79
Author(s):  
Nathalie Marcerou-Ramel

AbstractFrance is probably the only European country to have today a national school for training of library and information professionals: Enssib, National Library and Information Science School. An atypical situation, as some countries decided to close their schools of librarianship and entrust the training of their professionals to universities only. How does Enssib train its library executives? The article first describes the recruitment, training and exercise framework for French library and information professionals. Then it focuses on the vast renovation project that Enssib has been launching for four years in order to adapt its training processes to the needs and expectations of the professional communities.


IFLA Journal ◽  
2019 ◽  
Vol 45 (2) ◽  
pp. 69-80 ◽  
Author(s):  
Georgios Glossiotis ◽  
Evgenia Vassilakaki ◽  
Eva Semertzaki

In the era of radical socio-economic-technological developments, the Library and Information Science sector in Greece is undergoing a series of changes in a dialectic relation with technological changes. Libraries in Greece have a long history, from the Academy of Plato and the Lyceum of Aristotle in the 5th century BC to the transition of the National Library of Greece at the Stavros Niarchos Foundation Cultural Centre. This paper aims to provide an overview and record the milestones signifying the beginning of the changes happening in every aspect of the Greek LIS landscape. In addition, it aims to highlight the changes in the Greek library scene, extending from synergies and networks to new library buildings, as well as the role of LIS education and lifelong learning.


Author(s):  
Gholamreza Amirkhani

This article deals with the history and activities of the National Library of Iran, was officially inaugurated in 1937 but whose collection dates back 150 years. It contains large numbers of manuscripts, old printed books, old itineraries from European tourists, documents, rare periodicals and materials in non-print forms. It has grown gradually through donations, exchanges, acquisition, and legal deposit. The library is an educational, research, and service institution, aiming to acquire, organize and disseminate information published or produced in Iran or in the fields of Iranology and Islamic study in other countries, to promote research and planning in library and information science, and to provide consultation and devise appropriate methods for all Iranian libraries. A new building, with an area of 97,000 square metres, is due to be inaugurated in 2003.


2021 ◽  
Author(s):  
Cristóbal Urbano ◽  
Sara Tafalla ◽  
Ángel Borrego ◽  
Ernest Abadal

Preprints are increasingly relevant for fast dissemination of research results. This article analyses its use in the EDICIC 2019 conference, where authors were requested to deposit their preprints before the conference in order to encourage interaction among participants and to push their publication in refereed journals as a substitute for conference proceedings. The results of a survey among corresponding authors of accepted papers show little familiarity with preprints. Nevertheless, nearly three-quarters of authors deposited their preprint before the conference. Most of them agree that a conference runs more smoothly if preprints are available to attendees before the event and agree to reduce time slots devoted to presentations in order to encourage the debate between presenters and attendees. To a lesser extent, survey respondents would like to see this model implemented in other Library and Information Science conferences, although they disagree on whether journals from that area are ready to accept preprints in the framework of open science principles. Authors who had deposited their preprint before the conference were more willing to submit their work to a journal for formal publication as an article. Finally, surveyed authors expressed their concerns regarding the lack of recognition of their participation if conference proceedings are not published; highlighted the effort made to pass a double evaluation by conference organisers and journal editors; emphasized that the culture of preprints and open science is not consolidated among disciplinary journals as yet; and noted that the aim of increasing interaction and debate was not fully reached.


2021 ◽  
pp. 1-19
Author(s):  
Fidelia Ibekwe ◽  
Fernanda Bochi ◽  
Daniel Martínez-Ávila

The need to map the evolution of trends in any field of activity arises when a large amount of data is available on that activity, thus making impossible a manual exploration of the data in order to understand how the field or the activity is evolving. Topic and trend mapping is a mature field with hundreds of publications on approaches, methods and tools for data collection, analysis, feature extraction and reduction, clustering and visualisation tools and algorithms. Our study aims to map the evolution of topics published by the journal Education for Information. Interdisciplinary Journal on Information Studies (EFI henceforth) which has been in existence since 1983, in order to understand how this journal has evolved and how it is positioned with regard to the field of Library and Information Science to which it belongs. Our study is part of the body of work on topic detection and text mining. Our results showed that the journal displayed a remarkable stability in its editorial policy over more than three decades. With the arrival of its third Editor in Chief in 2018, a shift towards more technologically oriented topics and to specialties from other fields are perceptible such as health information, data science and digital humanities.


2016 ◽  
Vol 32 (1) ◽  
pp. 7-10 ◽  
Author(s):  
H Frank Cervone

Purpose – This paper aims to describe the emerging field of data science, its significance in the larger information landscape and some issues that distinguish the problems of data science and informatics from traditional approaches in the information sciences. Design/methodology/approach – Through a general overview of the topic, the author discusses some of the major aspects of how work in the data sciences and informatics differ from traditional library and information science. Findings – Data science and informatics, as emerging fields, are expanding our understanding of how the massive amount of information currently being generated can be collected, managed and used. While these may not be traditional “library” problems, the contributions of the library and information science communities are critical to help address aspects of these issues. Originality/value – The emerging fields of data science and informatics have not been extensively explored from the perspective of the information professional. This paper is designed to help information professionals better understand some of the implications of data science in a changing information environment.


2019 ◽  
Vol 43 (2) ◽  
pp. 256-264 ◽  
Author(s):  
Jane Cho

Purpose Based on the data from Figshare repositories, the purpose of this paper is to analyze which research data are actively produced and shared in the interdisciplinary field of library and information science (LIS). Design/methodology/approach Co-occurrence analysis was performed on keywords assigned to research data in the field of LIS, which were archived in the Figshare repository. By analyzing the keyword network using the pathfinder algorithm, the study identifies key areas where data production is actively conducted in LIS, and examines how these results differ from the conventional intellectual structure of LIS based on co-citation or bibliographic coupling analysis. Findings Four major domains – Open Access, Scholarly Communication, Data Science and Informatics – and 15 sub-domains were created. The keywords with the highest global influence appeared as follows, in descending order: “open access,” “scholarly communication” and “altmetrics.” Originality/value This is the first study to understand the key areas that actively produce and utilize data in the LIS field.


2019 ◽  
Vol 53 (4) ◽  
pp. 422-441 ◽  
Author(s):  
Sirje Virkus ◽  
Emmanouel Garoufallou

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.


2018 ◽  
Vol 74 (6) ◽  
pp. 1243-1257 ◽  
Author(s):  
Lin Wang

PurposeAs an emerging discipline, data science represents a vital new current of school of library and information science (LIS) education. However, it remains unclear how it relates to information science within LIS schools. The purpose of this paper is to clarify this issue.Design/methodology/approachMission statement and nature of both data science and information science are analyzed by reviewing existing work in the two disciplines and drawing DIKW hierarchy. It looks at the ways in which information science theories bring new insights and shed new light on fundamentals of data science.FindingsData science and information science are twin disciplines by nature. The mission, task and nature of data science are consistent with those of information science. They greatly overlap and share similar concerns. Furthermore, they can complement each other. LIS school should integrate both sciences and develop organizational ambidexterity. Information science can make unique contributions to data science research, including conception of data, data quality control, data librarianship and theory dualism. Document theory, as a promising direction of unified information science, should be introduced to data science to solve the disciplinary divide.Originality/valueThe results of this paper may contribute to the integration of data science and information science within LIS schools and iSchools. It has particular value for LIS school development and reform in the age of big data.


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