scholarly journals What Not to Keep: Not All Data Has Future Research Value

2016 ◽  
Vol 37 (2) ◽  
Author(s):  
Janice Yu Chen Kung ◽  
Sandy Campbell
Keyword(s):  
Academic Libraries ◽  
Academic Library ◽  
Research Data ◽  
Future Research ◽  
Collection Development ◽  
Research Data Management ◽  
Intermediate Data ◽  
Development Policies ◽  
Academic Researchers ◽  
Initial List

<p>The rise of academic library involvement in research data management has presented numerous challenges for academic libraries. While libraries and archives have always had collection development policies that defined what they would or would not collect, policies for selecting research data for preservation are in their infancy. This study surveyed and interviewed academic researchers. From this research an initial list of eight types of data were identified as research data that should not be preserved and made public by academic libraries and archives. These include research data that are sensitive or confidential, proprietary, easily replicable, do not have good metadata, are test, pilot or intermediate data, are bad or junk data, data that cannot be used by others for a variety of reasons, and older data that are not used and have no obvious cultural or historical value. Conclusions drawn from the study will help librarians and archivists make informed decisions about which types of research data are worth keeping.</p>

Considerations for collecting Japanese anime for academic libraries

2019 ◽  
Vol 39 (2) ◽  
pp. 53-56
Author(s):  
Glenn Masuchika
Keyword(s):  
Academic Libraries ◽  
Design Methodology ◽  
Public Libraries ◽  
Intrinsic Value ◽  
Academic Library ◽  
Collection Development ◽  
Content Type ◽  
Development Policies ◽  
Areas Of Concern ◽  
Japanese Animation

Purpose Too often, academic library selectors of DVDs purchase Japanese animation (anime) for their popularity without any further concern of their important contributions to the combined wealth of researches of an academic library. The purpose of this paper is to offer considerations for an academic selector to ponder before adding this particular type of animation. These considerations do not necessary pertain to the collection development considerations for selectors at public libraries. Design/methodology/approach This paper will discuss the major problems of actively adding anime to an academic library, the present areas of concern, and will offer warnings and suggestions based on a conceptual framework of anime having true academic value. Findings Anime cannot be chosen independently as if it has any apparently intrinsic value sui generis. Anime must be added concomitantly according to the collection development policies with other resources, especially DVDs, to create a full, rich and useful collection to scholars. Originality/value Academic studies concerning anime and collection development for academic libraries are usually comprised of only long lists of suggested anime, with no further discussions about its implications to the general worth of an academic library. This paper offers no such lists. Instead, it offers considerations selectors must take into account before investing time and money adding anime to an academic library collection.

scholarly journals Kebijakan Pengembangan Koleksi dan Pemanfaatannya di Perpustakaan Perguruan Tinggi (Analisis Penerapan Kebijakan Pengembangan Koleksi Perpustakaan Utama Universitas Islam Negeri Syarif Hidayatullah Jakarta)

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rahmat Iswanto
Keyword(s):  
Academic Libraries ◽  
Development Policy ◽  
Academic Library ◽  
Document Analysis ◽  
Qualitative Approach ◽  
Collection Management ◽  
Collection Development ◽  
Development Policies ◽  
The University ◽  
Descriptive Qualitative

The assumption is there are many academic libraries of Indonesia especially under Minister of Religion Affairs (MORA) which hardly meet a demand of their users’ needs because their collection management or collection development policies do not prepare well. Actually to create a better collection, an academic library has to plan its collection well. This research has done with a purpose of inspecting a collection development policy of an academic library in Indonesia and its implementation. The collection development policy of main library of State Islamic University Syarif Hidayatullah at Jakarta in 2008 is the object of this research. This research has done by a descriptive qualitative approach that inspects deeply by means of any deep interview, observation, and document analysis. Having examined the formulation of its collection development policy we know the context of policy’s formulation, some actors who formulate, the roles of the head of the library, the attitude of the university and some values that influence. Having examined its implementation we know that the aims of the policy have achieved or not.

scholarly journals European Academic Libraries Offer or Plan to Offer Research Data Services

2018 ◽  
Vol 13 (2) ◽  
pp. 106-108
Author(s):  
Jennifer Kaari
Keyword(s):  
Academic Libraries ◽  
Academic Library ◽  
Academic Research ◽  
Survey Instrument ◽  
Research Data ◽  
Future Research ◽  
Library Directors ◽  
Data Services ◽  
Research Libraries ◽  
Technical Services

A Review of: Tenopir, C., Talja, S., Horstmann, W., Late, E., Hughes, D., Pollock, D., … Allard, S. (2017). Research data services in European academic research libraries. LIBER Quarterly, 27(1), 23-44. https://doi.org/10.18352/lq.10180 Abstract Objective – To investigate the current state of research data services (RDS) in European academic libraries by determining the types of RDS being currently implemented and planned by these institutions. Design – Email survey. Setting – European academic research libraries. Subjects – 333 directors of the Association of European Research Libraries (LIBER) academic member libraries. Methods – The researchers revised a survey instrument previously used for the DataONE survey of North American research libraries and conducted pilot testing with European academic library directors. The survey instrument was created using the Qualtrics software. The revised survey was distributed by email to LIBER institutions identified as academic libraries by the researchers and remained open for 6 weeks. Question topics included demographics, RDS currently offered, RDS planned, staffing considerations, and the director’s opinions on RDS. Libraries from 22 countries participated and libraries were grouped into 4 regions in order to compare regional differences. Data analysis was conducted using Excel, SPSS or R software University of Tennessee, University of Tampere, and University of Göttingen. Main Results – 119 library directors responded to more than one question beyond basic demographics, for a response rate of 35.7%. Among the libraries surveyed, more libraries offer consultative services than offered technical support for RDS, although a majority planned to offer technical services in the future. Geographically, libraries in western Europe offer more RDS compared with other regions. More libraries have reassigned or plan to reassign current staff to support RDS services, rather than hire new staff for these roles. Regardless of whether or not they currently offer RDS, library directors surveyed strongly agree that libraries need to offer RDS to remain relevant. Conclusion – The authors determine that a majority of library directors recognize that data management is increasingly important and many libraries are responding to this by implementing RDS and collaborating across their institutions and beyond to help meet these needs. Future research is suggested to track how these services develop over time, how libraries respond to the staffing challenges of RDS, and whether consultative rather than technical services continue to be primary forms of RDS offered.

Research Data Management in an Academic Library

2021 ◽  
pp. 38-55
Author(s):  
Chidi Onuoha Kalu ◽  
Esther Ihechiluru Chidi-Kalu ◽  
Titilola Abigail Mafe
Keyword(s):  
Data Management ◽  
Academic Libraries ◽  
Academic Library ◽  
Research Data ◽  
The Other ◽  
Research Data Management ◽  
Other Hand ◽  
Support Research

Academic libraries need to store, preserve, and manage scholars' intellectual output, hence the importance of research data management in academic libraries. This chapter focuses on research data management in academic libraries, and it aims at examining the concept of research data, which is referred to as the evidence used to inform or support research conclusions, while data management, on the other hand involves planning for and creating data, organizing, structuring, and documenting data, backing up and storing data, and preparing data for analysis to share with others or to preserve for the long-term.

scholarly journals A Survey of Weeding Practices in New Zealand  Academic Libraries

2021 ◽  
Author(s):  
◽  
Angus Johnston
Keyword(s):  
New Zealand ◽  
Academic Libraries ◽  
Development Policy ◽  
Academic Library ◽  
Time Constraints ◽  
Collection Development ◽  
Research Needs ◽  
Academic Curriculum ◽  
The Future

<p>Weeding is the removal and disposal of materials from a library’s collection that meet criteria set out in the collection development policy. Weeding the print collection of an academic library should be viewed as a means of continuously improving the quality of the collection, reflecting changes in the university’s academic curriculum and meeting patrons’ research needs (Dubicki, 2008). Weeding is often neglected however because of time constraints, a desire to maintain the size of a collection, and the belief that a book may be needed some time in the future ...</p>

scholarly journals A Survey of Weeding Practices in New Zealand  Academic Libraries

2021 ◽  
Author(s):  
◽  
Angus Johnston
Keyword(s):  
New Zealand ◽  
Academic Libraries ◽  
Development Policy ◽  
Academic Library ◽  
Time Constraints ◽  
Collection Development ◽  
Research Needs ◽  
Academic Curriculum ◽  
The Future

<p>Weeding is the removal and disposal of materials from a library’s collection that meet criteria set out in the collection development policy. Weeding the print collection of an academic library should be viewed as a means of continuously improving the quality of the collection, reflecting changes in the university’s academic curriculum and meeting patrons’ research needs (Dubicki, 2008). Weeding is often neglected however because of time constraints, a desire to maintain the size of a collection, and the belief that a book may be needed some time in the future ...</p>

scholarly journals Research data management and services: Resources for novice data librarians

2017 ◽  
Vol 78 (5) ◽  
pp. 274 ◽  
Author(s):  
Sarah Barbrow ◽  
Denise Brush ◽  
Julie Goldman
Keyword(s):  
Life Cycle ◽  
Data Management ◽  
Academic Libraries ◽  
Research Data ◽  
Research Data Management ◽  
Academic Fields ◽  
Data Life Cycle ◽  
Management Plans ◽  
Share Data

Research in many academic fields today generates large amounts of data. These data not only must be processed and analyzed by the researchers, but also managed throughout the data life cycle. Recently, some academic libraries have begun to offer research data management (RDM) services to their communities. Often, this service starts with helping faculty write data management plans, now required by many federal granting agencies. Libraries with more developed services may work with researchers as they decide how to archive and share data once the grant work is complete.

Big data adoption in academic libraries: a literature review

2020 ◽  
Vol 37 (4) ◽  
pp. 1-5
Author(s):  
Nove E. Variant Anna ◽  
Endang Fitriyah Mannan
Keyword(s):  
Big Data ◽  
Data Management ◽  
Academic Libraries ◽  
Data Analytics ◽  
Academic Library ◽  
Big Data Analytics ◽  
Research Data ◽  
Management Policy ◽  
Content Type ◽  
Scopus Database

Purpose The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the most frequently occurring keywords, the article theme, the journal publisher and the group of keywords in the big data article. The methodology used in this study is a quantitative approach by extracting data from Scopus database publications with the keywords “big data” and “library” in May 2019. The collected data was analysed using Voxviewer software to show the keywords or terms. The results of the study stated that articles on big data have appeared since 2012 and are increasing in number every year. The big data authors are mostly from China and America. Keywords that often appear are based on the results of terminology visualization are including, “big data”, “libraries”, “library”, “data handling”, “data mining”, “university libraries”, “digital libraries”, “academic libraries”, “big data applications” and “data management”. It can be concluded that the number of publications related to big data in the library is still small; there are still many gaps that need to be researched on the topic. The results of the research can be used by libraries in using big data for the development of library innovation. Design/methodology/approach The Scopus database was accessed on 24 May 2019 by using the keyword “big data” and “library” in the search box. The authors only include papers, which title contain of big data in library. There were 74 papers, however, 1 article was dropped because of it not meeting the criteria (affiliation and abstract were not available). The papers consist of journal articles, conference papers, book chapters, editorial and review. Then the data were extracted into excel and analysed as follows (by the year, by the author/s’s country, by the theme and by the publisher). Following that the collected data were analysed using VOX viewer software to see the relationship between big data terminology and library, terminology clustering, keywords that often appear, countries that publish big data, number of big data authors, year of publication and name of journals that publish big data and library articles (Alagu and Thanuskodi, 2019). Findings It can be concluded that the implementation of big data in libraries is still in an early stage, it is shown from the limited number of practical implementation of big data analytics in library. Not many libraries that use big data to support innovation and services since there were lack of librarian skills of big data analytics. The library manager’s view of big data is still not necessary to do. It is suggested for academic libraries to start their adoption of big data analytics to support library services especially research data. To do so, librarians can enhance their skills and knowledge by following some training in big data analytics or research data management. The information technology infrastructure also needs to be upgraded since big data need big IT capacity. Finally, the big data management policy should be made to ensure the implementation goes well. Originality/value This paper discovers the adoption and implementation of big data in library, many papers talk big data in business and technology context. This is offering new idea for many libraries especially academic library about the adoption of big data to support their services. They can adopt the big data analytics technology and technique that suitable for their library.

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