Margaret H. Burnette, Sarah C. Williams, and Heidi J. Imker have published "From Plan to Action: Successful Data Management Plan Implementation in a Multidisciplinary Project" in the Journal of eScience Librarianship.

Here's an excerpt:

A case study was designed to gather insights from the research group through semi-structured interviews. Questions focused on which of the recommended data management strategies were adopted and how those strategies affected the project in terms of cost, time, effectiveness, and long-term data use.

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Bonnie Tijerina has published "Campus Support Systems for Technical Researchers Navigating Big Data Ethics" in EDUCAUSE Review.

Here's an excerpt:

A team at Data & Society recently conducted interviews and campus visits with computer science researchers and librarians at eight U.S. universities to examine the role of research librarians in assisting technical researchers as they navigate emerging issues of privacy, ethics, and equitable access to data at different phases of the research process.

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Joachim Schöpfel and Hélène Prost have published "Research Data Management in Social Sciences and Humanities: A Survey at the University of Lille (France)" in LIBREAS.

Here's an excerpt:

The paper presents results from a campus-wide survey at the University of Lille (France) on research data management in social sciences and humanities. The survey received 270 responses, equivalent to 15% of the whole sample of scientists, scholars, PhD students, administrative and technical staff (research management, technical support services); all disciplines were represented. The responses show a wide variety of practice and usage. The results are discussed regarding job status and disciplines and compared to other surveys. Four groups can be distinguished, i.e. pioneers (20-25%), motivated (25-30%), unaware (30%) and reluctant (5-10%). Finally, the next steps to improve the research data management on the campus are presented.

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Fernando Rios has published "The Pathways of Research Software Preservation: An Educational and Planning Resource for Service Development" in D-Lib Magazine.

Here's an excerpt:

Research communities, funders, publishers, and academic libraries have put much effort towards ensuring that research data are preserved. However, the same level of attention has not been given to the associated software used to process and analyze it. As a guide to those tasked with preserving research outputs, a novel visual representation of preservation approaches relevant to research software, termed the Pathways of Research Software Preservation, is presented. The Pathways are discussed in the context of service development within the Data Management Services group at Johns Hopkins University.

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Ana Sesartić, Andreas Fischlin, and Matthias Töwe ave published "Towards Narrowing the Curation Gap-Theoretical Considerations and Lessons Learned from Decades of Practice" in the ISPRS International Journal of Geo-Information.

Here's an excerpt:

Research as a digital enterprise has created new, often poorly addressed challenges for the management and curation of research to ensure continuity, transparency, and accountability. There is a common misunderstanding that curation can be considered at a later point in the research cycle or delegated or that it is too burdensome or too expensive due to a lack of efficient tools. This creates a curation gap between research practice and curation needs. We argue that this gap can be narrowed if curators provide attractive support that befits research needs and if researchers consistently manage their work according to generic concepts consistently from the beginning. A rather uniquely long-term case study demonstrates how such concepts have helped to pragmatically implement a research practice intentionally using only minimalist tools for sustained, self-contained archiving since 1989. The paper sketches the concepts underlying three core research activities. (i) handling of research data, (ii) reference management as part of scholarly publishing, and (iii) advancing theories through modelling and simulation. These concepts represent a universally transferable best research practice, while technical details are obviously prone to continuous change. We hope it stimulates researchers to manage research similarly and that curators gain a better understanding of the curation challenges research practice actually faces.

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S. Vincent Gray and Elizabeth Hill have self-archived "The Academic Data Librarian Profession in Canada: History and Future Directions."

Here's an excerpt:

From the 1970s onward, Canadians have been active in developing services and establishing structures to support the dissemination of data. In recent years the academic data profession in Canada has largely developed around access to data from the national statistics agency, Statistics Canada, and around the services which have been developed to permit access to these data. This chapter will provide a historical background for these activities and explain how current and emerging trends continue to affect the profession.

Research Data Curation Bibliography, Version 6. Over 560 works. Over 200 works added. Live links. Selected abstracts. OA. CC-BY License. Covers topics such as research data creation, acquisition, metadata, repositories, provenance, management, policies, support services, funding agency requirements, peer review, publication, citation, sharing, reuse, and preservation.

Hailey Mooney has self-archived "Scholarly Communication and Data."

Here's an excerpt:

The purpose of this chapter is to provide foundational knowledge for the data librarian by developing an understanding of the place of data within the current paradigm of networked digital scholarly communication. This includes defining the nature of data and data publications, examining the open science movement and its effects on data sharing, and delving into the challenges inherent to the wider integration of data into the scholarly communication system and the academic library

Research Data Curation Bibliography, Version 6. Over 560 works. Over 200 works added. Live links. Selected abstracts. OA. CC-BY License. Covers topics such as research data creation, acquisition, metadata, repositories, provenance, management, policies, support services, funding agency requirements, peer review, publication, citation, sharing, reuse, and preservation.

The Digital Preservation Coalition, UK Data Service, and Charles Beagrie Ltd. have released Preserving Transactional Data .

Here's an excerpt from the announcement:

This report tackles the requirements for preserving transactional data and the accompanying challenges facing companies and institutions that aim to re-use these data for analysis or research, presenting the issues and strategies which emphasize preservation practices that facilitate re-use and reproducibility.

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Line Pouchard has published "Revisiting the Data Lifecycle with Big Data Curation" in the International Journal of Digital Curation.

Here's an excerpt:

As science becomes more data-intensive and collaborative, researchers increasingly use larger and more complex data to answer research questions. The capacity of storage infrastructure, the increased sophistication and deployment of sensors, the ubiquitous availability of computer clusters, the development of new analysis techniques, and larger collaborations allow researchers to address grand societal challenges in a way that is unprecedented. In parallel, research data repositories have been built to host research data in response to the requirements of sponsors that research data be publicly available. Libraries are re-inventing themselves to respond to a growing demand to manage, store, curate and preserve the data produced in the course of publicly funded research. As librarians and data managers are developing the tools and knowledge they need to meet these new expectations, they inevitably encounter conversations around Big Data. This paper explores definitions of Big Data that have coalesced in the last decade around four commonly mentioned characteristics: volume, variety, velocity, and veracity. We highlight the issues associated with each characteristic, particularly their impact on data management and curation. We use the methodological framework of the data life cycle model, assessing two models developed in the context of Big Data projects and find them lacking. We propose a Big Data life cycle model that includes activities focused on Big Data and more closely integrates curation with the research life cycle. These activities include planning, acquiring, preparing, analyzing, preserving, and discovering, with describing the data and assuring quality being an integral part of each activity. We discuss the relationship between institutional data curation repositories and new long-term data resources associated with high performance computing centers, and reproducibility in computational science. We apply this model by mapping the four characteristics of Big Data outlined above to each of the activities in the model. This mapping produces a set of questions that practitioners should be asking in a Big Data project

The article is under a Creative Commons Attribution 2.0 UK: England & Wales License.

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Digital Scholarship has released Version 6 of the Research Data Curation Bibliography. This selective bibliography includes over 560 English-language articles, books, and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions. Over 200 new works have been added to the bibliography since version five.

The Research Data Curation Bibliography covers topics such as research data creation, acquisition, metadata, repositories, provenance, management, policies, support services, funding agency requirements, peer review, publication, citation, sharing, reuse, and preservation.

Most sources have been published from January 2009 through May 2016; however, a limited number of earlier key sources are also included. The bibliography includes links to freely available versions of included works. If such versions are unavailable, links to the publishers' descriptions are provided.

Abstracts are included in this bibliography if a work is under a Creative Commons Attribution License (BY and national/international variations), a Creative Commons public domain dedication (CC0), or a Creative Commons Public Domain Mark and this is clearly indicated in the work.

The Research Data Curation Bibliography is under a Creative Commons Attribution 4.0 International License.

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The following universities offer digital curation and digital stewardship certificate programs:

• Dominican University
• Drexel University (Online)
• Johns Hopkins University (Museum focus, online)
• Pratt Institute
• San José State University (Online)
• Simmons College (Online)
• University College Dublin
• University of Arizona (Online)
• University of Maine (Online)
• University of Maryland (Online)
• University of North Carolina at Chapel Hill
• University of North Texas (Online)

This digital preservation certificate program may also be of interest:

• Kent State University

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Johns Hopkins University has released the Report of the Summit on Digital Curation in Art Museums.

Here's an excerpt:

In October of 2015, Johns Hopkins University (JHU) Museum Studies Program convened a group of cultural heritage professionals to discuss digital curation, its integration into the art museum community, and the role the JHU Program in Digital Curation might play in this effort. Attendees included representatives from museums, libraries, archives, foundations, and the JHU Museum Studies Program.

The meeting took place over two days. The first day and a half included a series of short presentations that addressed innovative projects; infrastructure, staffing and workflows; digital curation tools; curatorial considerations; internships, residencies and research opportunities; and local and international collaborations. . . .

Breakout sessions on the last afternoon moved the discussions from conceptual to pragmatic.

See also: Storified Tweets from Summit.

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