Collection development or data-driven content curation? An exploratory project in Manchester

Purpose – The purpose of this paper is to find out about the collection development and management in the public libraries governed by the government or its agencies in Delhi and compare them with the international standards for public libraries. Design/methodology/approach – In all, Delhi has three chains of public libraries namely Delhi Public Library (DPL), like Hardayal Municipal Public Library (HMPL) and New Delhi Municipal Council (NDMC) public libraries. The librarian/heads of selected branches were approached with a structured questionnaire aimed at collecting information on the collection development and managements in these libraries and selected branches. The data were then analysed and interpreted. Findings – It was found that with the advent of ICT and its impact on the society, it is evident that the public libraries are not making the desired effort to reach out to the public and make it more appealing to the users. The main problem with the library remains to be the lack of membership. A few initiatives have been taken, but still there were not many digital services being provided by these public libraries in the present day digital environment. Research limitations/implications – The study was limited to the public libraries within the physical region of Delhi only. Practical implications – The evaluation sheds light on the existing scenario of public libraries in Delhi and may contribute in their future development. Social implications – With the acceptance of the international standards as suggested in the study, the public libraries in Delhi would be better able to provide information resources and services to the masses. The better learned masses make the society more advanced. An information rich society would thus lead to an overall growth and development of the state. Originality/value – There have been many studies in the past on DPL but none have intended to cover other public libraries chains like HMPL and NDMC public libraries which are governed by the government or its agencies and are established with aim of imparting information to the population of Delhi. Also, a similar the comparison with international standards was never done earlier.

The article focuses on the collection development policy statement, that, on the basis of an external (country and user profile) and of an internal evaluation (stock profile), sets out parameters for collection development and management in a library or in a library system. The first part of the article, after a brief presentation on the first reflections on collection development policy statement in the USA, offers a review of Italian studies on collection management and on the collection development policy statement. Then the paper illustrates the main changes that are involving the concept of library’s collection and of collection development and management; in conclusion it proposes a reflection on the function and contents of the collection development policy statement within the new scenario that is emerging.

Metadata is an important document of image about outcome, which reflects history and status of the results. One of the factors affecting the quality of image data is quality of metadata, and quality of metadata is a decisive factor whether the user adopts dataset. Therefore, quality of metadata must be controlled; and metadata will introduce a random uncertainty in the process of entrying, editing, modifing, which must be carried out uncertainty analysis in order to improve the accuracy of check of metadata. First, analyzing the qualitative requirements of image metadata, and exploring how to control the quality of image metadata from acquired methods for manual entry and automatically generated by software. Second, analyzing the results of metadata and checking metadata, by checking image metadata to find and correct data items and attribute values to control the quality of metadata. There are three methods of check, one is template check for there being standard data template; the other is classification check for there no being standard template; the last one is the check of coordinate metadata to check the coordinated cutting scope. At last, I use the certain theory to make uncertainty analysis for metadata attributes.

Purpose The purpose of this paper is to provide a snapshot of some major collections-related trends and issues in current academic libraries today. These include using collection development policies; demand-driven acquisition (DDA) models; big deals; using the collections budget; rationalizing legacy print collections; stewarding local digital collections; and demonstrating value. Design/methodology/approach A web survey was developed and sent to 20 academic librarians via e-mail during the summer of 2016, along with a statement on the purpose of the study. Findings The findings are as follows: the collections budget is used to fund many costs other than content (such as memberships and MARC records); most libraries are experimenting with DDA in one form or another; most libraries financially support open access investments; most libraries participate in at least one collaborative print rationalization project; and libraries have diverse methods of demonstrating value to their institutions. Research limitations/implications This was a very selective survey of North American academic libraries. Therefore, these findings are not necessarily valid on a broader scale. Practical implications Within the limitations above, the results provide librarians and others with an overview of current practices and trends related to key issues affecting collection development and management in North America. Originality/value These results are quite current and will enable academic librarians engaged in collection development and management to compare their current policies and practices with what is presented here. The results provide a current snapshot of the ways in which selected libraries are coping with transformative challenges and a rapidly changing environment.

ObjectivesPrimary objective: to assess nine data quality metrics for 14 maternal and newborn health data elements, following implementation of an integrated, district-focused data quality intervention. Secondary objective: to consider whether...

Financial pressures, shrinking staff, shifting user expectations, and advances in format access and availability mean that organizational change seems to have become a constant in today’s academic library. The area of collection management has not been immune from change; the increasing emphasis on electronic formats, questions about access versus ownership, and the rise of open access have all required adjustment in managing collections. Even with all this change, most academic libraries have retained an organizational structure with a single person serving as a collection management coordinator or decision maker. This presentation details the shift in one academic library from a hierarchical model with a single collection manager overseeing all selectors to a collection management team composed of three peer selectors representing the major areas of humanities, sciences, and social sciences. The team is charged with coordinating the collection and liaison activities of all selectors as well as investigating new collections initiatives, serving as a bridge between reference and technical services, developing a culture of assessment in collection development, and working with the collections budget, the Libraries’s development office, and administration. Benefits realized, challenges encountered, and “lessons learned” from this team approach will be discussed and suggestions for implementation in other libraries will be proposed.

Presents Robert Sewell’s responses to questions covering his role and responsibilities as associate librarian for collection development and management. Includes details of the library’s collection development policy, how work is organized, library funding, selection, the role of faculty and students in collection development, how the library deals with serials and electronic resources, and cooperative arrangements.

Collection Development and Management for 21st Century Library Collections: An Introduction provides a comprehensive overview of the processes involved in collection development, broadly defined as...

The aim of the project is to develop a global education model for The Global Bookshelf for children based on early childhood pedagogy and collection development and management principles from library and information science. Using an action research approach the researchers will compare use of The Global Bookshelf by practitioners in…Le but de ce projet est de mettre en place un modèle éducatif pour la Bibliothèque Globale destinée aux enfants et basé sur la pédagogie des jeunes enfants, sur le développement des collections, et sur les principes de gestion de la bibliothèque et des sciences de l’information. En utilisant une approche de recherche-action, les chercheurs comparent l’utilisation de la Bibliothèque Globale par…

The selection process in collection management has been characterized as based primarily on logical, rational thinking processes. Psychologists, however, have discovered that judgment and decision making are not exclusively cognitive functions. They depend instead on a complex interaction between affect and cognition, feeling and thought. This paper attempts to explore some of these interactive processes and how they may potentially influence the selection process in collection development. Some implications for how selectors approach their work are discussed as well.

Data-driven innovation (DDI) is a primary source of competitive advantage for firms and is a contemporary research priority. However, what facilitates the development of DDI has largely been understudied in literature. Through a systematic literature review, this study finds technological, organizational, and environmental variables under the TOE framework, which would drive effective DDI development. We thus develop a research model, which is tested using survey data from 264 Australian firms engaged in DDI development. The data have been analysed using both symmetric (partial least squares based structural equation modelling (PLS-SEM)) and asymmetric (fuzzy-set qualitative comparative analysis (fsQCA)) methods. The mixed method enhances the confidence in our empirical analyses of the antecedent variables of DDI development. PLS-SEM has revealed that technological readiness (i.e., data quality and metadata quality), and organizational absorptive capacity and readiness (i.e., technology-oriented leadership and availability of IT skilled professionals) affect DDI development. Our fsQCA results complement and extend the findings of PSL-SEM analysis. It reveals that quality of data and metadata, technology-oriented leadership, and exploitation capacity individually are necessary—but are not sufficient—conditions for high DDI development. Further, it identifies three different solutions each for small, medium, and large firms by combining the TOE factors. Additionally, this study suggests that the TOE framework is more applicable to small firms, on DDI context. Findings of our study have been related with theoretical and practical implications.

BackgroundSingle-cell RNA sequencing (scRNA-seq) enables the high-throughput quantification of transcriptional profiles in single cells. In contrast to bulk RNA-seq, additional preprocessing steps such as cell barcode identification or unique molecular identifier (UMI) deconvolution are necessary for preprocessing of data from single cell protocols. R packages that can easily preprocess data and rapidly visualize quality metrics and read alignments for individual cells across multiple samples or runs are still lacking.ResultsHere we present scruff, an R/Bioconductor package that preprocesses data generated from the CEL-Seq or CEL-Seq2 protocols and reports comprehensive data quality metrics and visualizations. scruff rapidly demultiplexes, aligns, and counts the reads mapped to genome features with deduplication of unique molecular identifier (UMI) tags. scruff also provides novel and extensive functions to visualize both pre- and post-alignment data quality metrics for cells from multiple experiments. Detailed read alignments with corresponding UMI information can be visualized at specific genome coordinates to display differences in isoform usage. The package also supports the visualization of quality metrics for sequence alignment files for multiple experiments generated by Cell Ranger from 10X Genomics. scruff is available as a free and open-source R/Bioconductor package.Conclusionsscruff streamlines the preprocessing of scRNA-seq data in a few simple R commands. It performs data demultiplexing, alignment, counting, quality report and visualization systematically and comprehensively, ensuring reproducible and reliable analysis of scRNA-seq data.

Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the U.S. National Cancer Institute (NCI) convened the "International Workshop on Proteomic Data Quality Metrics" in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed upon two primary needs for the wide use of quality metrics: (i) an evolving list of comprehensive quality metrics and (ii) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in Proteomics, Proteomics Clinical Applications, Journal of Proteome Research, and Molecular and Cellular Proteomics, as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.

The Practitioner's Guide to Data Quality Improvement

Governments and researchers traditionally focus on the publication of Open Government Data (OGD), whereas the actual use of the data is often neglected. Open data initiatives are often criticized for not realising the promoted benefits, yet only the use of OGD can result in these benefits. OGD use requires several actors, activities and tools; however, these are fragmented and depending on each other. The OGD infrastructure presented in this dissertation aims to enhance the coordination of OGD use. Core components are an advanced and interoperable three-tier metadata model to find, analyse, visualise, interact about and assess OGD, interaction mechanisms to stimulate interaction between OGD users, OGD providers and governmental policy makers, and data quality indicators to assess the data’s fitness for use. This study is among the first to describe the design of an OGD infrastructure. This dissertation contributes to science by providing a comprehensive overview of barriers and functional requirements for OGD use from the perspective of the OGD user, by defining functional building blocks for the design of the OGD infrastructure, and by developing and evaluating a prototype of the OGD infrastructure. Furthermore, this study is the first to apply coordination theory in the field of OGD and shows that coordination of OGD use does not merely require a focus on processes, but additionally requires a technical perspective including the integration of tools, a social perspective including interaction between involved actors, and the interaction between the social and technical perspective. Moreover, while OGD infrastructures traditionally mainly provide discovery metadata, this study confirms several recent studies that different types of metadata (discovery, contextual and detailed metadata) need to be combined to improve OGD use. Finally, whereas kernel theories concerning coordination, metadata, interaction and data quality are often studied separately, this study reveals that it is essential for the development of OGD infrastructures to combine these four kernel theories.