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

"DataCite as a Novel Bibliometric Source: Coverage, Strengths and Limitations"

Posted in Data Curation, Open Data, and Research Data Management, Scholarly Metrics on July 21st, 2017 by Charles W. Bailey, Jr.

Nicolas Robinson-Garcia et al. have self-archived "DataCite as a Novel Bibliometric Source: Coverage, Strengths and Limitations."

Here's an excerpt:

This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to a pressing demand for the development of data metrics. As a very first step towards reliable data metrics, we need to better comprehend the limitations and caveats of the information provided by sources of open data. In this paper, we critically examine records downloaded from the DataCite's OAI API and elaborate a series of recommendations regarding the use of this source for bibliometric analyses of open data. We highlight issues related to metadata incompleteness, lack of standardization, and ambiguous definitions of several fields. Despite these limitations, we emphasize DataCite's value and potential to become one of the main sources for data metrics development.

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"14 Years of PID Services at the German National Library of Science and Technology (TIB): Connected Frameworks, Research Data and Lessons Learned from a National Research Library Perspective"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Metadata on July 18th, 2017 by Charles W. Bailey, Jr.

Angelina Kraft et al. have published "14 Years of PID Services at the German National Library of Science and Technology (TIB): Connected Frameworks, Research Data and Lessons Learned from a National Research Library Perspective" in Data Science Journal.

Here's an excerpt:

In an ideal research world, any scientific content should be citable and the coherent content, as well as the citation itself, should be persistent. However, today’s scientists do not only produce traditional research papers—they produce comprehensive digital resources and collections. TIB's mission is to develop a supportive framework for a sustainable access to such digital content—focusing on areas of engineering as well as architecture, chemistry, information technology, mathematics and physics. The term digital content comprises all digitally available resources such as audiovisual media, databases, texts, images, spreadsheets, digital lab journals, multimedia, 3D objects, statistics and software code.

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"Trends in Digital Preservation Capacity and Practice: Results from the 2nd Bi-annual National Digital Stewardship Alliance Storage Survey"

Posted in Data Curation, Open Data, and Research Data Management on July 17th, 2017 by Charles W. Bailey, Jr.

Michelle Gallinger et al. have published "Trends in Digital Preservation Capacity and Practice: Results from the 2nd Bi-annual National Digital Stewardship Alliance Storage Survey" in D-Lib Magazine.

Here's an excerpt:

Research and practice in digital preservation requires a solid foundation of evidence of what is being protected and what practices are being used. The National Digital Stewardship Alliance (NDSA) storage survey provides a rare opportunity to examine the practices of most major US memory institutions. The repeated, longitudinal design of the NDSA storage surveys offer a rare opportunity to more reliably detect trends within and among preservation institutions rather than the typical surveys of digital preservation, which are based on one-time measures and convenience (Internet-based) samples. The survey was conducted in 2011 and in 2013. The results from these surveys have revealed notable trends, including continuity of practice within organizations over time, growth rates of content exceeding predictions, shifts in content availability requirements, and limited adoption of best practices for interval fixity checking and the Trusted Digital Repositories (TDR) checklist. Responses from new memory organizations increased the variety of preservation practice reflected in the survey responses.

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"Open Data: Accountability and Transparency"

Posted in Data Curation, Open Data, and Research Data Management on July 14th, 2017 by Charles W. Bailey, Jr.

Matthew S Mayernik has published "Open Data: Accountability and Transparency" in Big Data & Society.

Here's an excerpt:

Researchers' primary accountabilities are related to meeting the expectations of research competency, not to external standards of data deposition or metadata creation. Likewise, making data open in a transparent way can involve a significant investment of time and resources with no obvious benefits. This paper uses differing notions of accountability and transparency to conceptualize "open data" as the result of ongoing achievements, not one-time acts.

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Research Data Infrastructures in the UK

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on July 3rd, 2017 by Charles W. Bailey, Jr.

The Open Research Data Task Force has released Research Data Infrastructures in the UK.

Here's an excerpt:

This report is intended to inform the work of the Open Research Data Task Force, which has been established with the aim of building on the principles set out in Open Research Data Concordat (published in July 2016) to co-ordinate creation of a roadmap to develop the infrastructure for open research data across the UK. As an initial contribution to that work, the report provides an outline of the policy and service infrastructure in the UK as it stands in the first half of 2017, including some comparisons with other countries; and it points to some key areas and issues which require attention.

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"A Reputation Economy: How Individual Reward Considerations Trump Systemic Arguments for Open Access to Data"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science on June 29th, 2017 by Charles W. Bailey, Jr.

Benedikt Fecher et al. have published "A Reputation Economy: How Individual Reward Considerations Trump Systemic Arguments for Open Access to Data" in Palgrave Communications.

Here's an excerpt:

In this article, we explore the question of what drives open access to research data using a survey among 1564 mainly German researchers across all disciplines. We show that, regardless of their disciplinary background, researchers recognize the benefits of open access to research data for both their own research and scientific progress as a whole. Nonetheless, most researchers share their data only selectively. We show that individual reward considerations conflict with widespread data sharing. Based on our results, we present policy implications that are in line with both individual reward considerations and scientific progress.

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"Metadata for Research Data Discovery and Management"

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation on June 28th, 2017 by Charles W. Bailey, Jr.

Lizz Jennings has published "Metadata for Research Data Discovery and Management" in Catalogue and Index.

Here's an excerpt:

Requirements for sharing research data have increased in recent years, partly in response to the open science agenda and partly as a means to make better use of data generated using public money. Research funders increased their expectations of researchers in relation to research data sharing, and the Engineering and Physical Sciences Research Council (EPSRC) was the first Research Council to put the onus on institutions to provide support for this

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Open Data: The Researcher Perspective

Posted in Data Curation, Open Data, and Research Data Management, Digital Curation & Digital Preservation, Reports and White Papers on June 28th, 2017 by Charles W. Bailey, Jr.

Elsevier and the Centre for Science and Technology Studies have released Open Data: The Researcher Perspective.

Here's an excerpt from the announcement:

The study is based on a complementary methods approach consisting of a quantitative analysis of bibliometric and publication data, a global survey of 1,200 researchers and three case studies including in-depth interviews with key individuals involved in data collection, analysis and deposition in the fields of soil science, human genetics and digital humanities.

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"Connecting the Persistent Identifier Ecosystem: Building the Technical and Human Infrastructure for Open Research"

Posted in Data Curation, Open Data, and Research Data Management, Metadata, Open Science on June 16th, 2017 by Charles W. Bailey, Jr.

Angela Dappert et al. have published "Connecting the Persistent Identifier Ecosystem: Building the Technical and Human Infrastructure for Open Research" in the Data Science Journal.

Here's an excerpt:

This article draws on the work of the EU-funded THOR project to take stock of the current state of interoperability across the PID landscape and to discuss the next steps towards an integrated research record. Examples illustrate how this interconnectivity is facilitated technically, as well as social and human challenges in fostering adoption. User stories highlight how this network of persistent identifier services is facilitating good practice in open research and where its limitations lie.

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"An Analysis of Federal Policy on Public Access to Scientific Research Data"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Open Science on June 15th, 2017 by Charles W. Bailey, Jr.

Adam Kriesberg et al. have published "An Analysis of Federal Policy on Public Access to Scientific Research Data" in Data Science Journal.

Here's an excerpt:

The 2013 Office of Science and Technology Policy (OSTP) Memo on federally-funded research directed agencies with research and development budgets above $100 million to develop and release plans to increase and broaden access to research results, both published literature and data. The agency responses have generated discussion and interest but are yet to be analyzed and compared. In this paper, we examine how 19 federal agencies responded to the memo, written by John Holdren, on issues of scientific data and the extent of their compliance to the directives outlined in the memo. We present a varied picture of the readiness of federal science agencies to comply with the memo through a comparative analysis and close reading of the contents of these responses.

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"Wide-Open: Accelerating Public Data Release by Automating Detection of Overdue Datasets"

Posted in Data Curation, Open Data, and Research Data Management, Open Science on June 9th, 2017 by Charles W. Bailey, Jr.

Maxim Grechkin, Hoifung Poon, and Bill Howe have published "Wide-Open: Accelerating Public Data Release by Automating Detection of Overdue Datasets" in PLOS Biology.

Here's an excerpt:

Open data is a vital pillar of open science and a key enabler for reproducibility, data reuse, and novel discoveries. Enforcement of open-data policies, however, largely relies on manual efforts, which invariably lag behind the increasingly automated generation of biological data. To address this problem, we developed a general approach to automatically identify datasets overdue for public release by applying text mining to identify dataset references in published articles and parse query results from repositories to determine if the datasets remain private. We demonstrate the effectiveness of this approach on 2 popular National Center for Biotechnology Information (NCBI) repositories: Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). Our Wide-Open system identified a large number of overdue datasets, which spurred administrators to respond directly by releasing 400 datasets in one week.

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"Data Sharing Statements for Clinical Trials—A Requirement of the International Committee of Medical Journal Editors"

Posted in Data Curation, Open Data, and Research Data Management, Open Access, Publishing, Scholarly Journals on June 8th, 2017 by Charles W. Bailey, Jr.

Darren B. Taichman et al. have published "Data Sharing Statements for Clinical Trials—A Requirement of the International Committee of Medical Journal Editors" in PLOS Medicine.

Here's an excerpt:

Therefore, ICMJE will require the following as conditions of consideration for publication of a clinical trial report in our member journals:

  1. As of July 1, 2018 manuscripts submitted to ICMJE journals that report the results of clinical trials must contain a data sharing statement as described below.
  2. Clinical trials that begin enrolling participants on or after January 1, 2019 must include a data sharing plan in the trial’s registration. The ICMJE's policy regarding trial registration is explained at www.icmje.org/recommendations/browse/publishing-and-editorial-issues/clinical-trial-registration.html. If the data sharing plan changes after registration this should be reflected in the statement submitted and published with the manuscript, and updated in the registry record.

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