Data Curation, Open Data, and Research Data Management – Page 34

"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"

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"

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"

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

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"

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"

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

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"

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"

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"

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"

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:

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.

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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"A Trust Framework for Online Research Data Services"

Malcolm Wolski, Louise Howard, and Joanna Richardson have published "A Trust Framework for Online Research Data Services" in Publications.

Here's an excerpt:

There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, and other researchers to participate in the open science agenda, further work needs to be undertaken to establish trust in research environments. Based on a critical review of the literature, this paper examines the issue of trust in an open science environment, using virtual laboratories as the focus for discussion. A trust framework, which has been developed from an end-user perspective, is proposed as a model for addressing relevant issues within online research data services and tools.

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An Analysis of Open Data and Open Science Policies in Europe, May 2017

SPARC Europe has released An Analysis of Open Data and Open Science Policies in Europe, May 2017 .

Here's an excerpt from the announcement:

Among the report’s most striking findings: 11 of the 28 European Union member states, as well as Norway and Switzerland, have national, research data-related policies in place. Of these, all were implemented in the past eight years, with most having taken effect recently. In about half of the countries, research data is covered under the same policy that applies to Open Access or Open Science.

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"Research Data Management in Academic Institutions: A Scoping Review"

Laure Perrier et al. have published "Research Data Management in Academic Institutions: A Scoping Review" in PLOS ONE.

Here's an excerpt:

Interest in research data management in the global community is on the rise. Recent activity has included the Bill & Melinda Gates Foundation moving their open access/open data policy, considered to be exceptionally strong, into force at the beginning of 2017 [10]. Researchers working towards a solution to the Zika virus organized themselves to publish all epidemiological and clinical data as soon as it was gathered and analyzed [11]. Fecher and colleagues [12] conducted a systematic review focusing on data sharing to support the development of a conceptual framework, however it lacked rigorous methods, such as the use of a comprehensive search strategy [13]. Another review on data sharing was conducted by Bull and colleagues [14] that examined stakeholders' perspectives on ethical best practices but focused specifically on low- and middle-income settings. In this scoping review, we aim to assess the research literature that examines research data management as it relates to academic institutions. It is a time of increasing activity in the area of research data management [15] and higher learning institutions need to be ready to address this change, as well as provide support for their faculty and researchers. Identifying the current state of the literature so there is a clear understanding of the evidence in the area will provide guidance in planning strategies for services and support, as well as outlining essential areas for future research endeavors in research data management. The purpose of this study is to describe the volume, topics, and methodological nature of the existing research literature on research data management in academic institutions.

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"GI+100: Long Term Preservation of Digital Geographic Information—16 Fundamental Principles Agreed by National Mapping Agencies and State Archives"

Carsten Rönsdorf et al. have published "GI+100: Long Term Preservation of Digital Geographic Information—16 Fundamental Principles Agreed by National Mapping Agencies and State Archives" in the International Journal of Digital Curation.

Here's an excerpt:

This paper states 16 principles for the long term retention and preservation of digital geographic information. The paper is mainly aimed at public sector geographic information providers in Europe (particularly those involved in mapping and cadastre) with the intention of highlighting the significance of fundamental concepts for digital geographic data archiving. Geographic information providers include mapping agencies and archives that preserve geographic data among a wider range of digital information. A supplementary objective is that the paper may provide useful information for providers of all types of geographic information right around the world.

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"Managing Data Management: Building a RDM Service at MIT Libraries"

The 2017 e-Science Symposium has released Managing Data Management: Building a RDM Service at MIT Libraries, a video of a presentation by Christine Malinowski and Phoebe Ayers.

Here's an excerpt:

In this presentation, we will provide an overview of how the MIT Libraries DMS team works, some examples of our recent projects and consultations, our specific (but certainly generalizable) challenges of providing and expanding RDM services, and the tools that we use to meet those challenges and ensure speedy and accurate service. These include a wiki-based knowledgebase, dynamic project plans using Tableau software, a rotating on-call list, and biweekly RDM updates emails.

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"Social Science Data Repositories in Data Deluge: A Case Study at ICPSR Workflow and Practices"

Wei Jeng et al. have self-archived "Social Science Data Repositories in Data Deluge: A Case Study at ICPSR Workflow and Practices."

Here's an excerpt:

Due to the recent surge of interest in the age of the data deluge, the importance of researching data infrastructures is increasing. The Open Archival Information System (OAIS) model has been widely adopted as a framework for creating and maintaining digital repositories. Considering that OAIS is a reference model that requires customization for actual practice, this study examines how the current practices in a data repository map to the OAIS environment and functional components.

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Data Curation, SPEC Kit 354

ARL has released the Data Curation, SPEC Kit 354 .

Here's an excerpt from the announcement:

This SPEC Kit covers which data curation services are offered, who may use them, which disciplines use services most, library staffing levels, policies and workflows, and the challenges of supporting these activities.

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"Making Progress Toward Open Data: Reflections on Data Sharing at PLOS ONE"

Meg Byrne has published "Making Progress Toward Open Data: Reflections on Data Sharing at PLOS ONE" in the EveryONE Blog

Here's an excerpt:

PLOS ONE has published over 65,000 papers with a DAS in the three years since the open data policy was put in place. We were initially concerned we would not be able to consider a significant number of submissions because authors could not share data, but this did not turn out to be the case. Since the implementation of the updated policy, we estimate staff have rejected less than 0.1% of submissions due to authors’ unwillingness or inability to share data. What we have seen is a growing acceptance of data sharing and evolution of data sharing practices. For instance, there has been a steady growth in datasets available directly via public data repositories such as the NCBI databases, Figshare or Dryad. While the proportion of articles with a data availability statement linking to one of these repositories is still relatively low, at around 20% in 2016, the growth is encouraging.

Another 60% of articles include data in the main text and supplementary information. While we strongly recommend discipline-specific open repositories where they exist, we also deposit the supporting information files, figures, and tables included with every article to Figshare and give each of these its own DOI. Thus, in addition to being available via the PLOS ONE article, this content is also available through an external data repository. The remaining 20% of papers have data available upon request due to restrictions acceptable under our policy, including restrictions related to sensitive data or because the data are owned by and available from a third party.

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"The Influence of Journal Submission Guidelines on Author’s Reporting of Statistics and Use of Open Research Practices"

David Giofrè et al. have published "The Influence of Journal Submission Guidelines on Author's Reporting of Statistics and Use of Open Research Practices" in PLOS ONE.

Here's an excerpt:

From January 2014, Psychological Science introduced new submission guidelines that encouraged the use of effect sizes, estimation, and meta-analysis (the "new statistics"), required extra detail of methods, and offered badges for use of open science practices. We investigated the use of these practices in empirical articles published by Psychological Science and, for comparison, by the Journal of Experimental Psychology: General, during the period of January 2013 to December 2015. The use of null hypothesis significance testing (NHST) was extremely high at all times and in both journals. In Psychological Science, the use of confidence intervals increased markedly overall, from 28% of articles in 2013 to 70% in 2015, as did the availability of open data (3 to 39%) and open materials (7 to 31%). The other journal showed smaller or much smaller changes. Our findings suggest that journal-specific submission guidelines may encourage desirable changes in authors’ practices.

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"Perseids: Experimenting with Infrastructure for Creating and Sharing Research Data in the Digital Humanities"

Bridget Almas has published "Perseids: Experimenting with Infrastructure for Creating and Sharing Research Data in the Digital Humanities" in the Data Science Journal.

Here's an excerpt:

The Perseids project provides a platform for creating, publishing, and sharing research data, in the form of textual transcriptions, annotations and analyses. An offshoot and collaborator of the Perseus Digital Library (PDL), Perseids is also an experiment in reusing and extending existing infrastructure, tools, and services. This paper discusses infrastructure in the domain of digital humanities (DH). It outlines some general approaches to facilitating data sharing in this domain, and the specific choices we made in developing Perseids to serve that goal. It concludes by identifying lessons we have learned about sustainability in the process of building Perseids, noting some critical gaps in infrastructure for the digital humanities, and suggesting some implications for the wider community.

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"Open Data, [Open] Access: Linking Data Sharing and Article Sharing in the Earth Sciences"

Samantha Teplitzky has published "Open Data, [Open] Access: Linking Data Sharing and Article Sharing in the Earth Science" in the Journal of Librarianship and Scholarly Communication.

Here's an excerpt:

INTRODUCTION The norms of a research community influence practice, and norms of openness and sharing can be shaped to encourage researchers who share in one aspect of their research cycle to share in another. Different sets of mandates have evolved to require that research data be made public, but not necessarily articles resulting from that collected data. In this paper, I ask to what extent publications in the Earth Sciences are more likely to be open access (in all of its definitions) when researchers open their data through the Pangaea repository. METHODS Citations from Pangaea data sets were studied to determine the level of open access for each article. RESULTS This study finds that the proportion of gold open access articles linked to the repository increased 25% from 2010 to 2015 and 75% of articles were available from multiple open sources.

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"Organizational Resilience in Data Archives: Three Case Studies in Social Science Data Archives"

Kristin R. Eschenfelder and Kalpana Shankar have published "Organizational Resilience in Data Archives: Three Case Studies in Social Science Data Archives" in the Data Science Journal.

Here's an excerpt:

In this paper, we draw upon organizational studies theories to approach the issue of sustainability from an organizational perspective, focusing specifically on the organizational histories of three social science data archives (SSDA): ICPSR, UKDA, and LIS. Using a framework of organizational resilience to understand how archives perceive crisis, respond to it, and learn from experience, this article reports on an empirical study of sustainability in these long-lived SSDAs. The study draws from archival documents and interviews to examine how sustainability can and should be conceptualized as on-going processes over time and not as a quality at a single moment.

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Open Data: The Researcher Perspective

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

Here's an excerpt:

Combining information from a bibliometric analysis, a survey and case studies, this report examines how researchers share data, the attitudes of researchers toward sharing data, and why researchers might be reticent to share data.

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"An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Integrated Findings to Develop Research Data Services"

Elizabeth A. Berman has published "An Exploratory Sequential Mixed Methods Approach to Understanding Researchers' Data Management Practices at UVM: Integrated Findings to Develop Research Data Services" in the Journal of eScience Librarianship.

Here's an excerpt:

This article reports on the integrated findings of an exploratory sequential mixed methods research design aimed to understand data management behaviors and challenges of faculty at the University of Vermont (UVM) in order to develop relevant research data services. The exploratory sequential mixed methods design is characterized by an initial qualitative phase of data collection and analysis, followed by a phase of quantitative data collection and analysis, with a final phase of integration or linking of data from the two separate strands of data. A joint display was used to integrate data focused on the three primary research questions: How do faculty at UVM manage their research data, in particular how do they share and preserve data in the long-term?; What challenges or barriers do UVM faculty face in effectively managing their research data?; and What institutional data management support or services are UVM faculty interested in?

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