Special Collection Analyst at Columbia University

Columbia University is recruiting a Special Collection Analyst.

Here's an excerpt from the ad:

Columbia University Libraries (CUL) seeks an innovative and energetic librarian to provide support for Columbia's digital library and scholarly technology systems by adapting, configuring and using relevant software tools and implementing standards and best practices. The Special Collections Analyst will work directly with Libraries and University stakeholders to research, develop and document technology solutions for digital library and digital scholarship initiatives. Working collaboratively, the incumbent will apply and help develop procedures, guidelines, policies, and principles for the use of Columbia's digital library and scholarly infrastructure.

Research Data Curation Bibliography, Version 9 | Digital Scholarship | Digital Library Jobs | Library IT Jobs | Sitemap

"Collections as Data: Implications for Enclosure"

Thomas G. Padilla has published "Collections as Data: Implications for Enclosure" in .

Here's an excerpt:

In recent years a growing amount of interest has been dedicated to collections as data. A collections as data paradigm seeks to foster an expanded set of research, pedagogical, and artistic potential predicated on the computational use of cultural heritage collections. Collections as data raises the question of what it might mean to treat digitized and born digital collections as data rather than simple surrogates of physical objects or static representations of digital experience.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

Head, Discovery & User Experience at Indiana University, Bloomington

Indiana University. Bloomington is recruiting a Head, Discovery & User Experience.

Here's an excerpt from the ad:

The Head, Discovery & User Experience Department will provide leadership and vision for the development of a continuously evolving range of services, discovery systems, and online interfaces that support users and ensure a consistent and successful online and in-person experience. The position manages the libraries web presence (Drupal), content strategy for online services, and works in collaboration with the Enterprise Library Services Team (UITS) to deliver the discovery experience for library services and content (Blacklight and EDS).

Research Data Curation Bibliography, Version 9 | Digital Scholarship | Digital Library Jobs | Library IT Jobs | Sitemap

"A Framework for Aggregating Private and Public Web Archives"

Mat Kelly, Michael L. Nelson, and Michele C. Weigle have self-archived "A Framework for Aggregating Private and Public Web Archives."

Here's an excerpt:

Personal and private Web archives are proliferating due to the increase in the tools to create them and the realization that Internet Archive and other public Web archives are unable to capture personalized (e.g., Facebook) and private (e.g., banking) Web pages. We introduce a framework to mitigate issues of aggregation in private, personal, and public Web archives without compromising potential sensitive information contained in private captures. We amend Memento syntax and semantics to allow TimeMap enrichment to account for additional attributes to be expressed inclusive of the requirements for dereferencing private Web archive captures. We provide a method to involve the user further in the negotiation of archival captures in dimensions beyond time. We introduce a model for archival querying precedence and short-circuiting, as needed when aggregating private and personal Web archive captures with those from public Web archives through Memento. Negotiation of this sort is novel to Web archiving and allows for the more seamless aggregation of various types of Web archives to convey a more accurate picture of the past Web.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

Digital Art: May’s Gouache Paintings, Ink Drawings, and Pastel Drawings

In May, I transformed photos into pastel drawings, pen and ink drawings, and oil paintings using a variety of Photoshop plug-ins and Topaz Impression. Full-size download images (typically 8 x 10 in. or 8 x 12 in.) and descriptions of the processing steps involved are freely available on Flickr. The images are available under a Creative Commons Attribution-NonCommercial License.

Digital Pastel Drawing of the Grand Grocery in Lincoln

Digital Gouache Painting of a Streetlight Being Lit in Parvis Notre-Dame

Digital Ink Drawing of the Grands Magasins de la Bourse in Brussels

Digital Pastel Drawing of the Chicago and North Western Railway Roundhouse

Digital Ink Drawing of a Bar in Melrose

Charles W. Bailey, Jr., Digital Artist | List of All Artworks

Team Lead, Digital Scholarship at Tufts University

Tufts University is recruiting a Team Lead, Digital Scholarship.

Here's an excerpt from the ad:

The position is responsible for conducting ongoing needs assessment and engagement with the community to develop and maintain a robust and integrated set of programs and activities that strengthen the library’s role in supporting digital scholarship, digital literacy, digital pedagogy, and the use of multimedia in teaching, learning and scholarship. The Team Lead supervises the Digital Design Studio staff, promoting collegiality, providing mentorship, and fostering a responsive and user-oriented team.

Research Data Curation Bibliography, Version 9 | Digital Scholarship | Digital Library Jobs | Library IT Jobs | Sitemap

"A Data-Driven Approach to Appraisal and Selection at a Domain Data Repository"

Amy M Pienta et al. have published "A Data-Driven Approach to Appraisal and Selection at a Domain Data Repository" in the International Journal of Digital Curation.

Here's an excerpt:

Social scientists are producing an ever-expanding volume of data, leading to questions about appraisal and selection of content given finite resources to process data for reuse. We analyze users’ search activity in an established social science data repository to better understand demand for data and more effectively guide collection development. By applying a data-driven approach, we aim to ensure curation resources are applied to make the most valuable data findable, understandable, accessible, and usable. We analyze data from a domain repository for the social sciences that includes over 500,000 annual searches in 2014 and 2015 to better understand trends in user search behavior. Using a newly created search-to-study ratio technique, we identified gaps in the domain data repository’s holdings and leveraged this analysis to inform our collection and curation practices and policies. The evaluative technique we propose in this paper will serve as a baseline for future studies looking at trends in user demand over time at the domain data repository being studied with broader implications for other data repositories.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

Librarian for Research Data Management & Reproducibility at New York University

New York University is recruiting a Librarian for Research Data Management & Reproducibility.

Here's an excerpt from the ad:

New York University Libraries seeks a Librarian with a background in the sciences and/or computer science to develop a set of wide-ranging programs in support of the research data management (RDM), data science, and reproducibility efforts at the University. The position spearheads efforts to support reproducible research on campus through integration with other service providers in the Libraries and research technology, through partnerships with the Center for Data Science, the Moore-Sloan Data Science Environment initiative, and other data-intensive programs on campus; and in concert with other libraries staff providing Research Data Management programming and support.

Research Data Curation Bibliography, Version 9 | Digital Scholarship | Digital Library Jobs | Library IT Jobs | Sitemap

"Modelling the Research Data Lifecycle"

Stacy T. Kowalczyk has published "Modelling the Research Data Lifecycle" in the International Journal of Digital Curation.

Here's an excerpt:

This paper develops and tests a lifecycle model for the preservation of research data by investigating the research practices of scientists. This research is based on a mixed-method approach. An initial study was conducted using case study analytical techniques; insights from these case studies were combined with grounded theory in order to develop a novel model of the Digital Research Data Lifecycle. A broad-based quantitative survey was then constructed to test and extend the components of the model. The major contribution of these research initiatives are the creation of the Digital Research Data Lifecycle, a data lifecycle that provides a generalized model of the research process to better describe and explain both the antecedents and barriers to preservation. The antecedents and barriers to preservation are data management, contextual metadata, file formats, and preservation technologies. The availability of data management support and preservation technologies, the ability to create and manage contextual metadata, and the choices of file formats all significantly effect the preservability of research data.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

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