Data Curation, Open Data, and Research Data Management – Page 39

"Overly Honest Data Repository Development"

Colleen Fallaw et al. have published "Overly Honest Data Repository Development" in Code4Lib Journal.

Here's an excerpt:

After a year of development, the library at the University of Illinois at Urbana-Champaign has launched a repository, called the Illinois Data Bank (https://databank.illinois.edu/), to provide Illinois researchers with a free, self-serve publishing platform that centralizes, preserves, and provides persistent and reliable access to Illinois research data. This article presents a holistic view of development by discussing our overarching technical, policy, and interface strategies. By openly presenting our design decisions, the rationales behind those decisions, and associated challenges this paper aims to contribute to the library community's work to develop repository services that meet growing data preservation and sharing needs.

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"Understanding and Sustaining the Role of Academic Libraries in Research Data Management"

Ashley Sands has published "Understanding and Sustaining the Role of Academic Libraries in Research Data Management" in the UpNext Blog.

Here's an excerpt:

IMLS recently announced 41 awards made through the National Leadership Grants for Libraries program (NLG), the Laura Bush 21st Century Librarian program (LB21), and Sparks! Ignition Grants for Libraries program (Sparks). Among these awards, we are pleased to support a number of projects seeking to understand and sustain the role of academic libraries in research data management. The three projects highlighted in this post represent a total investment of nearly $200,000.

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"Data Management in the Long Tail: Science, Software, and Service"

Christine L. Borgman et al. has published "Data Management in the Long Tail: Science, Software, and Service" in the International Journal of Digital Curation.

Here's an excerpt:

Scientists in all fields face challenges in managing and sustaining access to their research data. The larger and longer term the research project, the more likely that scientists are to have resources and dedicated staff to manage their technology and data, leaving those scientists whose work is based on smaller and shorter term projects at a disadvantage. The volume and variety of data to be managed varies by many factors, only two of which are the number of collaborators and length of the project. As part of an NSF project to conceptualize the Institute for Empowering Long Tail Research, we explored opportunities offered by Software as a Service (SaaS). These cloud-based services are popular in business because they reduce costs and labor for technology management, and are gaining ground in scientific environments for similar reasons. We studied three settings where scientists conduct research in small and medium-sized laboratories. Two were NSF Science and Technology Centers (CENS and C-DEBI) and the third was a workshop of natural reserve scientists and managers. These laboratories have highly diverse data and practices, make minimal use of standards for data or metadata, and lack resources for data management or sustaining access to their data, despite recognizing the need. We found that SaaS could address technical needs for basic document creation, analysis, and storage, but did not support the diverse and rapidly changing needs for sophisticated domain-specific tools and services. These are much more challenging knowledge infrastructure requirements that require long-term investments by multiple stakeholders.

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"Dash: Data Sharing Made Easy at the University of California"

Stephen Abrams et al. have published "Dash: Data Sharing Made Easy at the University of California" in the International Journal of Digital Curation.

Here's an excerpt:

While the UC Curation Center (UC3) at the California Digital Library supports a growing roster of innovative curation services for University use, most were intended originally to meet the needs of institutional information professionals, such as librarians, archivists, and curators. In order to address the new curation concerns of individual scholars, UC3 realized that it needed to deploy new systems and services optimized for stakeholders with widely divergent experiences, expertise, and expectations. This led to the development of Dash, an online data publication service making campus data sharing easy. While Dash gives the appearance of being a full-fledged repository, in actuality it is only a lightweight overlay layer that sits on top of standards-compliant repositories, such as UC3's existing Merritt curation repository. The Dash service offers intuitive, easy-to-use interfaces for dataset submission, description, publication, and discovery. By imposing minimal prescriptive eligibility and submission requirements; automating and hiding the mechanical details of DOI assignment, data packaging, and repository deposit; and featuring a streamlined, self-service user experience that can be integrated easily into scholarly workflows, Dash is an important new service offering with which UC scholars can meet their RDM obligations.

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"From Plan to Action: Successful Data Management Plan Implementation in a Multidisciplinary Project"

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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State of the Art Report on Open Access Publishing of Research Data in the Humanities

Stefan Buddenbohm et al. have self-archived State of the Art Report on Open Access Publishing of Research Data in the Humanities.

Here's an excerpt:

This report gives an overview of the various aspects that are connected to open access publishing of research data in the humanities. After the introduction, where we give definitions of key concepts, we describe the research data life cycle. We present an overview of the different stakeholders involved and we look into advantages and obstacles for researchers to share research data. Furthermore, a description of the European data repositories is given, followed by certification standards of trusted digital data repositories. The possibility of data citation is important for sharing open data and is also described in this report. We also discuss the standards and use of metadata in the humanities. Finally, we discuss best practice example of open access research data system in the humanities: the French open research data ecosystem.

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"Campus Support Systems for Technical Researchers Navigating Big Data Ethics"

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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"The Journal Article as a Means to Share Data: A Content Analysis of Supplementary Materials from Two Disciplines"

Jeremy Kenyon, Nancy Sprague, and Edward Flathers have published "The Journal Article as a Means to Share Data: a Content Analysis of Supplementary Materials from Two Disciplines" in the Journal of Librarianship and Scholarly Communication.

Here's an excerpt:

INTRODUCTION The practice of publishing supplementary materials with journal articles is becoming increasingly prevalent across the sciences. We sought to understand better the content of these materials by investigating the differences between the supplementary materials published by authors in the geosciences and plant sciences. METHODS We conducted a random stratified sampling of four articles from each of 30 journals published in 2013. In total, we examined 297 supplementary data files for a range of different factors. RESULTS We identified many similarities between the practices of authors in the two fields, including the formats used (Word documents, Excel spreadsheets, PDFs) and the small size of the files. There were differences identified in the content of the supplementary materials: the geology materials contained more maps and machine-readable data; the plant science materials included much more tabular data and multimedia content. DISCUSSION Our results suggest that the data shared through supplementary files in these fields may not lend itself to reuse. Code and related scripts are not often shared, nor is much 'raw' data. Instead, the files often contain summary data, modified for human reading and use. CONCLUSION Given these and other differences, our results suggest implications for publishers, librarians, and authors, and may require shifts in behavior if effective data sharing is to be realized.

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"Research Data Management in Social Sciences and Humanities: A Survey at the University of Lille (France)"

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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"The Pathways of Research Software Preservation: An Educational and Planning Resource for Service Development"

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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"Towards Narrowing the Curation Gap—Theoretical Considerations and Lessons Learned from Decades of Practice"

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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"The Academic Data Librarian Profession in Canada: History and Future Directions"

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.

"Scholarly Communication and Data"

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

Preserving Transactional Data

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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UK Survey of Academics 2015

Ithaka S+R has released UK Survey of Academics 2015.

Here's an excerpt:

This report is the second Ithaka S+R / Jisc / RLUK survey of UK academics. It asks of the UK research community their views on resource discovery, their use of these resources (online and digital), attitudes to research data management, and much more. It provides a powerful insight into how researchers view their own behaviour and the research environment within the UK today.

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"Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research"

Samiya Khan, Kashish A. Shakil, and Mansaf Alam have self-archived "Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research."

Here's an excerpt:

With the shifting focus of organizations and governments towards digitization of academic and technical documents, there has been an increasing need to use this reserve of scholarly documents for developing applications that can facilitate and aid in better management of research. In addition to this, the evolving nature of research problems has made them essentially interdisciplinary. As a result, there is a growing need for scholarly applications like collaborator discovery, expert finding and research recommendation systems. This research paper reviews the current trends and identifies the challenges existing in the architecture, services and applications of big scholarly data platform with a specific focus on directions for future research.

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"A Vision for Open Cyber-Scholarly Infrastructures"

Costantino Thanos has published "A Vision for Open Cyber-Scholarly Infrastructures" in Publications.

Here's an excerpt:

The characteristics of modern science, i.e., data-intensive, multidisciplinary, open, and heavily dependent on Internet technologies, entail the creation of a linked scholarly record that is online and open. Instrumental in making this vision happen is the development of the next generation of Open Cyber-Scholarly Infrastructures (OCIs), i.e., enablers of an open, evolvable, and extensible scholarly ecosystem. The paper delineates the evolving scenario of the modern scholarly record and describes the functionality of future OCIs as well as the radical changes in scholarly practices including new reading, learning, and information-seeking practices enabled by OCIs.

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"Revisiting the Data Lifecycle with Big Data Curation"

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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Research Data Curation Bibliography, Version 6

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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An Analytical Review of Text and Data Mining Practices and Approaches in Europe

OpenForum Europe has released An Analytical Review of Text and Data Mining Practices and Approaches in Europe: Policy Recommendations in View of the Upcoming Copyright Legislative Proposal.

Here's an excerpt:

Europe needs a regime which enables any researcher, citizen, company or other entity to engage in TDM activities, using material to which they have lawful access, wherever they feel there is a good idea. The exact commercial rewards can be managed at subsequent stages, depending on the implementation of the mining outcome. The protection could be considered at the point at which some clearly commercially beneficial project, product, service, business or company has emerged.

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"Research Library Associations Endorse Open Data Accord"

ARL has released "Research Library Associations Endorse Open Data Accord."

Here's an excerpt:

IARLA [International Alliance of Research Library Associations] views the Science International accord on "Open Data in a Big Data World" as an important step towards creating and enabling this common vision of the importance of open data. In setting out principles for open data that are derived from emerging practices within the scientific community, the accord lends the voice of a key stakeholder to the case for open data and provides a practical road map for the implementation of open data at the global level.

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"Are Scientific Data Repositories Coping with Research Data Publishing?"

Massimiliano Assante et al. have published "Are Scientific Data Repositories Coping with Research Data Publishing?" in Data Science Journal.

Here's an excerpt:

This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data. These repositories cannot make any assumption on the application domain. They are actually called to face with the almost open ended typologies of data used in science. The current practices promoted by such repositories are analysed with respect to eight key aspects of data publishing, i.e., dataset formatting, documentation, licensing, publication costs, validation, availability, discovery and access, and citation. From this analysis it emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories. These practices and solutions can not totally meet the needs of management and use of datasets resources, especially in a context where rapid technological changes continuously open new exploitation prospects.

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"Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond"

Hannah F. Norton et al. have published "Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond" in the Journal of eScience Librarianship.

Here's an excerpt:

As universities and libraries grapple with data management and "big data," the need for data management solutions across disciplines is particularly relevant in clinical and translational science (CTS) research, which is designed to traverse disciplinary and institutional boundaries. At the University of Florida Health Science Center Library, a team of librarians undertook an assessment of the research data management needs of CTS researchers, including an online assessment and follow-up one-on-one interviews.

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Disciplinary Differences in Opening Research Data

PASTEUR4OA has released Disciplinary Differences in Opening Research Data .

Here's an excerpt from the announcement:

This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates. Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.

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"Developing Library GIS Services for Humanities and Social Science: An Action Research Approach"

College & Research Libraries has released an e-print of "Developing Library GIS Services for Humanities and Social Science: An Action Research Approach" by Ningning Kong, Michael Fosmire, and Benjamin Dewayne Branch.

Here's an excerpt:

In the academic libraries' efforts to support digital humanities and social science, GIS service plays an important role. However, there is no general service model existing about how libraries can develop GIS services to best engage with digital humanities and social science. In this study, we adopted the action research method to develop and improve our service model. Our results suggested that a library's GIS service can support humanities and social science from the research collaboration, learning support, and outreach perspectives, with different focuses according to the stages of learning and research. The research framework adopted in this study not only can serve as an efficient tool for developing GIS services, but also can be expanded to other library service areas.

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