Archive for the 'Data Curation, Open Data, and Research Data Management' Category

"Elsevier Implements Data Citation Standards to Encourage and Reward Authors for Sharing Research Data"

Posted in Data Curation, Open Data, and Research Data Management, Metadata, Publishing, Scholarly Journals on December 1st, 2016

Elsevier has released "Elsevier Implements Data Citation Standards to Encourage and Reward Authors for Sharing Research Data."

Here's an excerpt from the announcement:

Elsevier, a world-leading provider of scientific, technical and medical information products and services, today announced that it has implemented the FORCE11 Joint Declaration of Data Citation Principles for over 1800 journals. This means that authors publishing with Elsevier are now able to cite the research data underlying their article, contributing to attribution and encouraging research data sharing with research articles.

The FORCE11 data citation principles were launched in 2014 with the aim to make research data an integral part of the scholarly record.

See also: "An Introduction to the Joint Principles for Data Citation."

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"The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Open Science on November 3rd, 2016

Christine L. Borgman, Peter T. Darch, Ashley E. Sands, and Milena S. Golshan have self-archived "The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy."

Here's an excerpt:

Infrastructures are not inherently durable or fragile, yet all are fragile over the long term. Durability requires care and maintenance of individual components and the links between them. Astronomy is an ideal domain in which to study knowledge infrastructures, due to its long history, transparency, and accumulation of observational data over a period of centuries. Research reported here draws upon a long-term study of scientific data practices to ask questions about the durability and fragility of infrastructures for data in astronomy. Methods include interviews, ethnography, and document analysis. As astronomy has become a digital science, the community has invested in shared instruments, data standards, digital archives, metadata and discovery services, and other relatively durable infrastructure components. Several features of data practices in astronomy contribute to the fragility of that infrastructure. These include different archiving practices between ground- and space-based missions, between sky surveys and investigator-led projects, and between observational and simulated data. Infrastructure components are tightly coupled, based on international agreements. However, the durability of these infrastructures relies on much invisible work—cataloging, metadata, and other labor conducted by information professionals. Continual investments in care and maintenance of the human and technical components of these infrastructures are necessary for sustainability.

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"Provenance in Support of ANDS’ Four Transformations"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on November 1st, 2016

Andrew E. Treloar and Mingfang Wu have published "Provenance in Support of ANDS' Four Transformations" in the International Journal of Digital Curation.

Here's an excerpt:

This article introduces the provenance activities that are being carried out at the Australia National Data Services (ANDS). Since its beginning, ANDS has been promoting four data transformations so that Australia's research data become more valuable and reusable by researchers. Among many other activities that enable the four transformations, ANDS has been encouraging ANDS partners to capture and describe rich context at the time when a data collection is created. In 2015, ANDS funded a number of external projects that had provenance components. In addition, ANDS is working on the interoperability between the schema that is used by the ANDS research data registration and discovery service – Research Data Australia (RDA) – and the W3C recommended provenance standard, Provenance Ontology (PROV-O), and investigating how to enrich the schema to access provenance information. The article concludes by discussing the lessons we learnt and our future planned activity.

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"Towards a Collaborative National Research Data Management Network"

Posted in Data Curation, Open Data, and Research Data Management on November 1st, 2016

Chuck Humphrey, Kathleen Shearer, and Martha Whitehead have published "Towards a Collaborative National Research Data Management Network" in the International Journal of Digital Curation.

Here's an excerpt:

This paper describes the plans and strategies to develop Portage, a national network of sustainable, shared services for research data management (RDM) in Canada. A description of the RDM context in Canada is provided. This environment has heightened expectations around the Government of Canada's Open Science plans and includes deliverables aimed at improving access to publications and data resulting from federally funded scientific activities. At the same time, a recent environmental scan published by Canada's three federal research granting councils reveals significant gaps in services, infrastructure, and funding mechanisms to support RDM. In addition, Canada's RDM environment consists of stakeholders from a variety of communities with minimal ongoing coordination or cooperation.

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"The Location of the Citation: Changing Practices in How Publications Cite Original Data in the Dryad Digital Repository"

Posted in Data Curation, Open Data, and Research Data Management, Publishing, Scholarly Journals on October 31st, 2016

Christine Mayo, Todd J. Vision, and Elizabeth A. Hull have published "The Location of the Citation: Changing Practices in How Publications Cite Original Data in the Dryad Digital Repository" in the International Journal of Digital Curation.

Here's an excerpt:

While stakeholders in scholarly communication generally agree on the importance of data citation, there is not consensus on where those citations should be placed within the publication – particularly when the publication is citing original data. Recently, CrossRef and the Digital Curation Center (DCC) have recommended as a best practice that original data citations appear in the works cited sections of the article. In some fields, such as the life sciences, this contrasts with the common practice of only listing data identifier(s) within the article body (intratextually). We inquired whether data citation practice has been changing in light of the guidance from CrossRef and the DCC. We examined data citation practices from 2011 to 2014 in a corpus of 1,125 articles associated with original data in the Dryad Digital Repository. The percentage of articles that include no reference to the original data has declined each year, from 31% in 2011 to 15% in 2014. The percentage of articles that include data identifiers intratextually has grown from 69% to 83%, while the percentage that cite data in the works cited section has grown from 5% to 8%. If the proportions continue to grow at the current rate of 19-20% annually, the proportion of articles with data citations in the works cited section will not exceed 90% until 2030.

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The State of Open Data

Posted in Data Curation, Open Data, and Research Data Management on October 28th, 2016

Figshare has released The State of Open Data.

Here's an excerpt from the announcement:

The report gathers insights and narratives from leading professionals in the open data space from around the globe and a foreword from Sir Nigel Shadbolt, Chairman and co-founder of the Open Data Institute (ODI), UK.

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Research Data Services in Europe’s Academic Research Libraries

Posted in Data Curation, Open Data, and Research Data Management, Research Libraries on October 27th, 2016

LIBER has released Research Data Services in Europe's Academic Research Libraries by Carol Tenopir et al.

Here's an excerpt from the announcement:

Almost all of Europe's academic research libraries are working collaboratively, within and outside of their institutions, to help ensure that the scientific data of today is curated properly, so it can be accessed, shared and reused by future generations. . . .

The survey—which reflects answers from a representative sample of research libraries in 22 countries across Europe—also revealed that:

  • Libraries are currently offering more consultative-type RDS services (eg. how to find information on Data Management Plans, metadata standards, or data citation practices) than technological services (eg. own storage solutions);
  • Less than half of libraries say their institutions currently have policies relating to RDS;
  • Two-thirds of library directors express strongly that libraries need to offer RDS to remain relevant.

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"Developments in Research Data Management in Academic Libraries: towards an Understanding of Research Data Service Maturity"

Posted in Data Curation, Open Data, and Research Data Management, Research Libraries on October 27th, 2016

Andrew M. Cox et al. have self-archived "Developments in Research Data Management in Academic Libraries: towards an Understanding of Research Data Service Maturity."

Here's an excerpt:

This paper reports an international study of research data management (RDM) activities, services and capabilities in higher education libraries. It presents the results of a survey covering higher education libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand and the UK. The results indicate that libraries have provided leadership in RDM, particularly in advocacy and policy development. Service development is still limited, focused especially on advisory and consultancy services (such as data management planning support and data-related training), rather than technical services (such as provision of a data catalogue, and curation of active data). Data curation skills development is underway in libraries, but skills and capabilities are not consistently in place and remain a concern. Other major challenges include resourcing, working with other support services, and achieving 'buy in' from researchers and senior managers.

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"Overly Honest Data Repository Development"

Posted in Data Curation, Open Data, and Research Data Management, Digital Repositories on October 26th, 2016

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"

Posted in Data Curation, Open Data, and Research Data Management on October 19th, 2016

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"

Posted in Data Curation, Open Data, and Research Data Management on October 13th, 2016

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"

Posted in Data Curation, Open Data, and Research Data Management, Digital Repositories on October 11th, 2016

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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