Category: collaboration

Collaborative researcher behaviour has not (yet) increased in response to incentive regimes’ performance measures

A somewhat cynical view of researcher motivations suggests that, when faced with new quantitative performance measures as part of their local incentive regimes, researchers will quickly modify their behaviours in an effort to optimise their own performance. Charlotte Wien, Bertil F. Dorch and Asger Væring Larsen set about testing this notion, looking more closely at how their own Danish system […]

The University of Richmond’s Digital Scholarship Lab

In November, 2016, staff from the Library of Congress’s National Digital Initiatives division visited the University of Richmond’s Digital Scholarship Lab as part of NDI’s efforts to explore data librarianship, computational research and digital scholarship at other libraries and cultural institutions. Like many university digital labs, the DSL is based in the library, which DSL […]

Spotlighting Research Data: Building Relationships with Outreach for the NYU Data Catalog

This is a guest post by Nicole Contaxis, Data Catalog Coordinator at NYU Health Sciences Library. You can email her at nicole.contaxis@nyumc.org. An increasing number of publishers and grant-funding organizations are requiring researchers to share their data, so libraries and other institutions are creating tools and strategies to support researchers in this effort. To meet […]

The TriCollege Libraries Consortium and Digital Content

This is a guest post from Stefanie Ramsay, a Digital Collections Librarian at Swarthmore College, which is part of the TriCollege Libraries consortium. Consortium arrangements among libraries and archives are an increasingly popular strategy for managing the large amount of digital content they produce and for providing increased access to these important materials. Luckily for […]

“Volun-peers” Help Liberate Smithsonian Digital Collections

The Smithsonian Transcription Center creates indexed, searchable text by means of crowdsourcing…or as Meghan Ferriter, project coordinator at the TC describes it, “harnessing the endless curiosity and goodwill of the public.” As of the end of the current fiscal year, 7,060 volunteers at the TC have transcribed 208,659 pages. The scope, planning and execution of the […]

New FADGI Guidelines for Embedded Metadata in DPX Files

The Federal Agencies Digitization Guidelines Initiative Audio-Visual Working Group is pleased to announce that its new draft publication, Embedding Metadata in Scanned Motion Picture Film Files: Guideline for Federal Agency Use of DPX Files, is available for public comment. The Digital Picture Exchange format typically stores image-only data from scanned motion picture film or born-digital […]

Git for Data Analysis – why version control is essential for collaboration and for gaining public trust

Openness and collaboration go hand in hand. Samuel Payne describes how scientists at the Pacific Northwest National Laboratory are working with the Frictionless Data team at Open Knowledge International to ensure collaboration on data analysis is seamless and their data integrity is maintained. I’m a computational biologist at the Pacific Northwest National Laboratory (PNNL), where I work on environmental and biomedical […]

Initiatives at the Library of Congress (Digital Preservation 2016 Talk)

Here’s the text of the presentation I gave during the Initiatives panel at Digital Preservation 2016, held in collaboration with the DLF Forum on November 10, 2016. This presentation is about what the National Digital Initiatives division has been up to in FY16 and what’s coming up in FY17. For a report on the DLF Forum, see this Signal post. […]

Data and Humanism Shape Library of Congress Conference

The presentations at the Library of Congress’ Collections As Data conference coalesced into two main themes: 1) digital collections are composed of data that can be acquired,  processed and displayed in countless scientific and creative ways and 2) we should always be aware and respectful that data is manipulated by — and derived from — people. […]