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The purpose of this paper is to describe methods for restructuring workflows and efficiently using staff members and volunteers to continue work on multiple, simultaneous digital collections as budgets and resources decline.

This paper describes one library’s varied approaches to several digital collections supported by literature or volunteers in libraries.

In the face of continually declining resources and new, time-sensitive priorities and compliance responsibilities, librarians can continue to maintain digital collections by modifying workflows, using the services of volunteers and communicating strategically.

This paper is relevant to librarians, archivists and others who are looking for ways to justify and capitalize on the use of unconventional personnel in digital collections programs.

This paper presents a case of the successful use of volunteers to accomplish digital collections-related tasks in an academic library and provides a communication-based strategy for addressing some of the challenges related to volunteers in academic libraries.

The purpose of this paper is to address the challenges that special collections repositories face when creating digital surrogates driven by researcher demand, to link these digitization issues with archival practice, and to provide recommendations for improvement.

Presents an overview of the development of the University of Maryland Libraries' digital imaging workflows and a critique of current practices.

A viable digital repository can be built from surrogates created in response to researcher demand, but there are limitations to this approach, with opportunity for improvement.

As a case study, this paper is limited to one institution's perspective.

Provides insight into constructing and managing digitization programs at special collections repositories.

This paper offers a case study approach for an institutional digital repository influenced heavily by researcher demand, in contrast to a digital repository constructed with a more structured plan.

Digital library managers are faced with growing pressure to digitize materials efficiently on a larger scale. This paper aims to address the staffing and other resources needed to evolve smaller scope operations into teams capable of outputting larger-scale production.

Much of the current literature focuses on philosophy of these projects and issues of metadata and user access. In contrast, this article seeks to supply the much-needed practical information for digital library managers who need to take immediate action to meet new mandates and reach higher target goals within the constraints of limited resources.

The author will provide an overview of resources needed to increase digitization output and provide an analysis of three key resources that can be targeted by digital library managers in a range of environments. These resources will be examined with practical advice given on how new staffing configurations, outsourcing of materials and high-efficiency equipment can be implemented in phases.

This paper examines the gap between smaller-scale digitization and successful large-scale projects, and offers several possible scenarios for organizations to consider as they choose to move forward in a way that suits their goals. The focus of this study is neither on the rationale for large-scale digitization nor on the detailed specifications for large-scale digitization workflows. Rather, it will outline the types of resources (internal and external), decision points and specific practical strategies for digital library managers seeking to start ramping up the production.

This work aims to provide a report on adopting a consortial model of collaboration toward understanding digital preservation practice.

This work provides a case study detailing the work and outcomes of a digital preservation pilot project undertaken by the Five College Libraries between 2014 and 2015.

Digital preservation is a broad endeavor and rapidly developing facet of digital collections and institutional repositories; yet, it is often an area that is not fully understood or implemented by many libraries and archives, largely because institutions lack the necessary resources to do it alone. Working across institutional lines provides a possible solution to overcoming resource limitations and general challenges for pursuing robust digital preservation programs.

Findings reported in this work are based on a limited-scope pilot project. Several questions laid out during the pilot remain unanswered at its close.

This paper provides insight into an experimental process rarely reported in library and information science literature. The goal of the paper is to provide a reference point for institutions pursuing a consortial approach to the challenges of applied digital preservation practice.

This paper aims to review current literature pertaining to information literacy and digital literacy skills and practices within the research workflow for doctoral students and makes recommendations for how libraries (and others) can foster skill-sets for graduate student research workflows for the twenty-first century scholarly researcher.

A review of existing information literacy practices for doctoral students was conducted, and four key areas of knowledge were identified and discussed.

The findings validate the need for graduate students to have training in information literacy, information management, knowledge management and scholarly communication. It recommends empirical studies to be conducted to inform future practices for doctoral students.

This paper offers four areas of training to be considered by librarians and faculty advisers to better prepare scholars for their future.

This paper presents a distinctive synthesis of the types of information literacy and digital literacy skills needed by graduate students.

This paper is a qualitative study of how social sciences faculty construct their research workflows with the help of technological tools. The purpose of this study is to examine faculty scholarly workflows and how both tools and practices support the research process. This paper could inform academic libraries on how to support scholars throughout the research process.

This is a qualitative study case study of ten faculty members from six research universities from the United States and Canada. Semi-structured interviews were conducted and recorded. Atlas.ti was used to code and analyze the transcripts; each participant was a separate case. Descriptive coding was used to identify digital tools used for collaboration; process and descriptive coding was utilized to examine practices in scholarly workflows.

Through case study analysis the results of this study include the role of technology in faculty research workflows. Each workflow was grouped into four categories: information literacy, information management, knowledge management, and scholarly communication. The findings included scholars creating simple workflows for efficiency and collaboration and utilizing workarounds.

The study did not observe faculty in the process of doing research and, thus, only reports on what the researchers say that they do.

The research is unique in that there is almost no research on how social scientists conduct their research workflows and the affordances/impasses of this process.

The purpose of this paper is to explore the process of assessing the needs of a digital repository. The study’s institution – Kent State University, a large state university – is currently re-envisioning their digital library services to accommodate emerging technologies with an agile framework and platform. This paper includes discussion on the process of creating a sustainable digital initiatives program, a plan of action for migration, platform decision rationale and an overview of planning for future projects that is both flexible and extensible in nature.

The article’s approach is to examine the process of review and selection of the digital repository at Kent State University through the needs and requirements checklist the team devised according to the institution’s specifications. Literature published in the past five years is reviewed and applied to the selection process. The author maps out a plan that can be adaptable for growth and sustainability for a content management system.

Using models identified in the article, the team mapped a solution that can enhance the use and interaction by patrons to digital collections as well as provide a method to ensure the longevity of digital assets.

The article addresses issues that are inherent to digital content management systems of all shapes and sizes, and strives to provide a solution that would be relevant and applicable to many types of institutions in regard to digital repositories.

The coordination of a manufacturing network is a challenging task and may be contingent upon the manufacturing environment. The purpose of this paper is to analyse how industrial Internet of Things (IIoT) and manufacturing network coordination relate.

Based on a single case study, the paper at hand provides insights on IIoT enablers and the relationship to manufacturing coordination mechanism. The data sample is based on 15 group interviews with overall eight employees from headquarters and business units.

The derived results show that the IIoT enablers (digital technologies, connectivity, data, capabilities and management) are highly related to the manufacturing network coordination mechanism. The results indicate that IIoT initiatives and manufacturing network coordination should be designed to support each other.

The implementation if IIoT initiatives is often analysed in isolation without considering the manufacturing network and more specifically the manufacturing network coordination mechanism. The results highlight how the implementation of IIoT initiatives may act as trigger to adapt formal manufacturing network coordination mechanism.

This paper aims to determine if the digital humanities technique of topic modeling would reveal interesting patterns in a corpus of library-themed literature focused on the future of libraries and pioneer a collaboration model in librarian-led digital humanities projects. By developing the project, librarians learned how to better support digital humanities by actually doing digital humanities, as well as gaining insight on the variety of approaches taken by researchers and commenters to the idea of the future of libraries.

The researchers collected a corpus of over 150 texts (articles, blog posts, book chapters, websites, etc.) that all addressed the future of the library. They ran several instances of latent Dirichlet allocation style topic modeling on the corpus using the programming language R. Once they produced a run in which the topics were cohesive and discrete, they produced word-clouds of the words associated with each topic, visualized topics through time and examined in detail the top five documents associated with each topic.

The research project provided an effective way for librarians to gain practical experience in digital humanities and develop a greater understanding of collaborative workflows in digital humanities. By examining a corpus of library-themed literature, the researchers gained new insight into how the profession grapples with the idea of the future and an appreciation for topic modeling as a form of literature review.

Topic modeling a future-themed corpus of library literature is a unique research project and provides a way to support collaboration between library faculty and researchers from outside the library.

This study aims to provide an overview of recent efforts relating to natural language processing (NLP) and machine learning applied to archival processing, particularly appraisal and sensitivity reviews, and propose functional requirements and workflow considerations for transitioning from experimental to operational use of these tools.

The paper has four main sections. 1) A short overview of the NLP and machine learning concepts referenced in the paper. 2) A review of the literature reporting on NLP and machine learning applied to archival processes. 3) An overview and commentary on key existing and developing tools that use NLP or machine learning techniques for archives. 4) This review and analysis will inform a discussion of functional requirements and workflow considerations for NLP and machine learning tools for archival processing.

Applications for processing e-mail have received the most attention so far, although most initiatives have been experimental or project based. It now seems feasible to branch out to develop more generalized tools for born-digital, unstructured records. Effective NLP and machine learning tools for archival processing should be usable, interoperable, flexible, iterative and configurable.

Most implementations of NLP for archives have been experimental or project based. The main exception that has moved into production is ePADD, which includes robust NLP features through its named entity recognition module. This paper takes a broader view, assessing the prospects and possible directions for integrating NLP tools and techniques into archival workflows.