Category: Data Curation, Open Data, and Research Data Management

"Ensuring the Long-Term Accessibility of Creative Content"

Wendi Maloney has published "Ensuring the Long-Term Accessibility of Creative Content" in the Library of Congress Blog.

Here's an excerpt:

Since the first edition of the Recommended Formats Statement came out in 2014, the Library of Congress has been committed to making it as useful as possible to a wide and varied audience. The statement identifies formats, or sets of technical characteristics – such as physical books, digital file types, specific editions or specific metadata elements—that encourage preservation and long-term access for creative works. Recently, the Library released an updated 2018–19 edition of the statement. . . .

To make the statement useful, it has to reflect reality. For example, the 2018-19 edition of the statement emphasizes the benefit of electronic delivery of datasets. Datasets are a rapidly expanding content area that bring unique challenges for large-scale file delivery and repository management. The datasets section of the statement now includes a preference for access by public or private online URLs over tangible media such as CD-ROM or DVD-ROM. This more accurately reflects the reality of acquiring and managing digital content in modern workflows.

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"Populating the Data Ark: An Attempt to Retrieve, Preserve, and Liberate Data from the Most Highly-Cited Psychology and Psychiatry Articles"

Tom E. Hardwicke and John P. A. Ioannidis have published "Populating the Data Ark: An Attempt to Retrieve, Preserve, and Liberate Data from the Most Highly-Cited Psychology and Psychiatry Articles" in PLOS ONE.

Here's an excerpt:

The vast majority of scientific articles published to-date have not been accompanied by concomitant publication of the underlying research data upon which they are based. This state of affairs precludes the routine re-use and re-analysis of research data, undermining the efficiency of the scientific enterprise, and compromising the credibility of claims that cannot be independently verified. It may be especially important to make data available for the most influential studies that have provided a foundation for subsequent research and theory development. Therefore, we launched an initiative—the Data Ark—to examine whether we could retrospectively enhance the preservation and accessibility of important scientific data. Here we report the outcome of our efforts to retrieve, preserve, and liberate data from 111 of the most highly-cited articles published in psychology and psychiatry between 2006–2011 (n = 48) and 2014–2016 (n = 63). Most data sets were not made available (76/111, 68%, 95% CI [60, 77]), some were only made available with restrictions (20/111, 18%, 95% CI [10, 27]), and few were made available in a completely unrestricted form (15/111, 14%, 95% CI [5, 22]). Where extant data sharing systems were in place, they usually (17/22, 77%, 95% CI [54, 91]) did not allow unrestricted access. Authors reported several barriers to data sharing, including issues related to data ownership and ethical concerns. The Data Ark initiative could help preserve and liberate important scientific data, surface barriers to data sharing, and advance community discussions on data stewardship.

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"Open Science Support as a Portfolio of Services and Projects: From Awareness to Engagement"

Birgit Schmidt et al. have published "Open Science Support as a Portfolio of Services and Projects: From Awareness to Engagement" in Publications.

Here's an excerpt:

Together with many other universities worldwide, the University of Gõttingen has aimed to unlock the full potential of networked digital scientific communication by strengthening open access as early as the late 1990s. Open science policies at the institutional level consequently followed and have been with us for over a decade. However, for several reasons, their adoption often is still far from complete when it comes to the practices of researchers or research groups. To improve this situation at our university, there is dedicated support at the infrastructural level: the university library collaborates with several campus units in developing and running services, activities and projects in support of open access and open science. This article outlines our main activity areas and aligns them with the overall rationale to reach higher uptake and acceptance of open science practice at the university. The mentioned examples of our activities highlight how we seek to advance open science along the needs and perspectives of diverse audiences and by running it as a multi-stakeholder endeavor. Therefore, our activities involve library colleagues with diverse backgrounds, faculty and early career researchers, research managers, as well as project and infrastructure staff. We conclude with a summary of achievements and challenges to be faced.

Academic Library as Scholarly Publisher Bibliography | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"How Are We Measuring Up? Evaluating Research Data Services in Academic Libraries"

Heather L. Coates et al. have published "How Are We Measuring Up? Evaluating Research Data Services in Academic Libraries" in the Journal of Librarianship and Scholarly Communication.

Here's an excerpt:

INTRODUCTION In the years since the emergence of federal funding agency data management and sharing requirements (http://datasharing.sparcopen.org/data), research data services (RDS) have expanded to dozens of academic libraries in the United States. As these services have matured, service providers have begun to assess them. Given a lack of practical guidance in the literature, we seek to begin the discussion with several case studies and an exploration of four approaches suitable to assessing these emerging services. DESCRIPTION OF PROGRAM This article examines five case studies that vary by staffing, drivers, and institutional context in order to begin a practice-oriented conversation about how to evaluate and assess research data services in academic libraries. The case studies highlight some commonly discussed challenges, including insufficient training and resources, competing demands for evaluation efforts, and the tension between evidence that can be easily gathered and that which addresses our most important questions. We explore reflective practice, formative evaluation, developmental evaluation, and evidence-based library and information practice for ideas to advance practice. NEXT STEPS Data specialists engaged in providing research data services need strategies and tools with which to make decisions about their services. These range from identifying stakeholder needs to refining existing services to determining when to extend and discontinue declining services. While the landscape of research data services is broad and diverse, there are common needs that we can address as a community. To that end, we have created a community-owned space to facilitate the exchange of knowledge and existing resources.

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"A Newbie at the RDAP Summit, or How I Learned that the RDAP Summit is for Everyone"

Joanna Thule has published "A Newbie at the RDAP Summit, or How I Learned that the RDAP Summit is for Everyone " in the Journal of Science Librarian ship.

Here's an excerpt:

After describing the format of the Summit, the highlights of attending are described, including gathering ideas related to all aspects of research data management, access, and preservation; hearing data management perspectives from outside of academic libraries; networking opportunities for the extrovert and introvert; and opportunities to connect with librarians at similar universities and with similar interests.

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"Data Management and Sharing in Neuroimaging: Practices and Perceptions of MRI Researchers"

John A. Borghi and Ana E. Van Gulick have published "Data Management and Sharing in Neuroimaging: Practices and Perceptions of MRI Researchers" in PLOS ONE.

Here's an excerpt:

Neuroimaging methods such as magnetic resonance imaging (MRI) involve complex data collection and analysis protocols, which necessitate the establishment of good research data management (RDM). Despite efforts within the field to address issues related to rigor and reproducibility, information about the RDM-related practices and perceptions of neuroimaging researchers remains largely anecdotal. To inform such efforts, we conducted an online survey of active MRI researchers that covered a range of RDM-related topics. Survey questions addressed the type(s) of data collected, tools used for data storage, organization, and analysis, and the degree to which practices are defined and standardized within a research group. Our results demonstrate that neuroimaging data is acquired in multifarious forms, transformed and analyzed using a wide variety of software tools, and that RDM practices and perceptions vary considerably both within and between research groups, with trainees reporting less consistency than faculty. Ratings of the maturity of RDM practices from ad-hoc to refined were relatively high during the data collection and analysis phases of a project and significantly lower during the data sharing phase. Perceptions of emerging practices including open access publishing and preregistration were largely positive, but demonstrated little adoption into current practice.

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"Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities"

Tania P. Bardyn et al. have published "Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities" in the Journal of eScience Librarianship.

Here's an excerpt:

Purpose: Medical libraries need to actively review their service models and explore partnerships with other campus entities to provide better-coordinated clinical research management services to faculty and researchers. TRAIL (Translational Research and Information Lab), a five-partner initiative at the University of Washington (UW), explores how best to leverage existing expertise and space to deliver clinical research data management (CRDM) services and emerging technology support to clinical researchers at UW and collaborating institutions in the Pacific Northwest.

Methods: The initiative offers 14 services and a technology-enhanced innovation lab located in the Health Sciences Library (HSL) to support the University of Washington clinical and research enterprise. Sharing of staff and resources merges library and non-library workflows, better coordinating data and innovation services to clinical researchers. Librarians have adopted new roles in CRDM, such as providing user support and training for UW's Research Electronic Data Capture (REDCap) instance.

Results: TRAIL staff are quickly adapting to changing workflows and shared services, including teaching classes on tools used to manage clinical research data. Researcher interest in TRAIL has sparked new collaborative initiatives and service offerings. Marketing and promotion will be important for raising researchers’ awareness of available services.

Conclusions: Medical librarians are developing new skills by supporting and teaching CRDM. Clinical and data librarians better understand the information needs of clinical and translational researchers by being involved in the earlier stages of the research cycle and identifying technologies that can improve healthcare outcomes. At health sciences libraries, leveraging existing resources and bringing services together is central to how university medical librarians will operate in the future.

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"Supporting the Proliferation of Data-Sharing Scholars in the Research Ecosystem"

Ali Krzton has published "Supporting the Proliferation of Data-Sharing Scholars in the Research Ecosystem" in the Journal of eScience Librarianship.

Here's an excerpt:

Librarians champion the value of openness in scholarship and have been powerful advocates for the sharing of research data. College and university administrators have recently joined in the push for data sharing due to funding mandates. However, the researchers who create and control the data usually determine whether and how data is shared, so it is worthwhile to look at what they are incentivized to do. The current scholarly publishing landscape plus the promotion and tenure process create a "prisoner’s dilemma" for researchers as they decide whether or not to share data, consistent with the observation that researchers in general are eager for others to share data but reluctant to do so themselves. If librarians encourage researchers to share data and promote openness without simultaneously addressing the academic incentive structure, those who are intrinsically motivated to share data will be selected against via the promotion and tenure process. This will cause those who are hostile to sharing to be disproportionately recruited into the senior ranks of academia. To mitigate the risk of this unintended consequence, librarians must advocate for a change in incentives alongside the call for greater openness. Highly-cited datasets must be given similar weight to highly-cited articles in promotion and tenure decisions in order for researchers to reap the rewards of their sharing. Librarians can help by facilitating data citation to track the impact of datasets and working to persuade higher administration of the value of rewarding data sharing in tenure and promotion.

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Want to Support Open Access? Volunteer for the Open Access Tracking Project

The Open Access Tracking Project (OATP) provides a constant stream of up-to-date information about open access issues in a primary feed and in a number of secondary feeds that focus on specialized OA subtopics. It offers the primary feed in a variety of distribution options, including email, Google+, HTML, RSS, Twitter, and others. It is an invaluable source of information for open access advocates, research data specialists, and scholarly communication specialists, and it provides important support for the open access movement as a whole.

Based at the Harvard Open Access Project, the OATP was launched by Peter Suber. Suber's SPARC Open Access Newsletter and his Free Online Scholarship Newsletter played an important part in getting the open access movement off the ground. The OATP continues the mission of those groundbreaking publications using the open source TagTeam software, which was developed for the OATP.

Launched with the help of grant funding, the OATP will enter a new an all-volunteer phase at the end of August 2018. To continue this crowd-sourced project, new volunteers are needed. You can help move the OA agenda forward by being one of them. This wiki page explains how you can join the team and start tagging.

By volunteering just a bit of time to the OATP, you can make a significant difference.

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"A Funder-Imposed Data Publication Requirement Seldom Inspired Data Sharing"

Jessica L. Couture et al. have published "A Funder-Imposed Data Publication Requirement Seldom Inspired Data Sharing" in PLOS ONE.

Here's an excerpt:

Growth of the open science movement has drawn significant attention to data sharing and availability across the scientific community. In this study, we tested the ability to recover data collected under a particular funder-imposed requirement of public availability. We assessed overall data recovery success, tested whether characteristics of the data or data creator were indicators of recovery success, and identified hurdles to data recovery. Overall the majority of data were not recovered (26% recovery of 315 data projects), a similar result to journal-driven efforts to recover data. Field of research was the most important indicator of recovery success, but neither home agency sector nor age of data were determinants of recovery. While we did not find a relationship between recovery of data and age of data, age did predict whether we could find contact information for the grantee. The main hurdles to data recovery included those associated with communication with the researcher; loss of contact with the data creator accounted for half (50%) of unrecoverable datasets, and unavailability of contact information accounted for 35% of unrecoverable datasets. Overall, our results suggest that funding agencies and journals face similar challenges to enforcement of data requirements. We advocate that funding agencies could improve the availability of the data they fund by dedicating more resources to enforcing compliance with data requirements, providing data-sharing tools and technical support to awardees, and administering stricter consequences for those who ignore data sharing preconditions./p>

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"Research Data Management Tools and Workflows: Experimental Work at the University of Porto"

Cristina Ribeiro et al. have published "Research Data Management Tools and Workflows: Experimental Work at the University of Porto" in IASSIST Quarterly.

Here's an excerpt:

We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Defining Data Librarianship: A Survey of Competencies, Skills, and Training"

Lisa Federer has published "Defining Data Librarianship: A Survey of Competencies, Skills, and Training" in the Journal of the Medical Library Association.

Here's an excerpt:

Respondents considered a broad range of skills and knowledge important to their work, especially “soft skills” and personal characteristics, like communication skills and the ability to develop relationships with researchers. Traditional library skills like cataloging and collection development were considered less important. A cluster analysis of the responses revealed two types of data librarians: data generalists, who tend to provide data services across a variety of fields, and subject specialists, who tend to provide more specialized services to a distinct discipline.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Managing Digital Research Objects in an Expanding Science Ecosystem: 2017 Conference Summary"

Joshua Borycz and Bonnie Carroll have published "Managing Digital Research Objects in an Expanding Science Ecosystem: 2017 Conference Summary" in Data Science Journal.

Here's an excerpt:

Digital research objects are packets of information that scientists can use to organize and store their data. There are currently many different methods in use for optimizing digital objects for research purposes. These methods have been applied to many scientific disciplines but differ in architecture and approach. The goals of this joint digital research object (DRO) conference were to discuss the challenge of characterizing DROs at scale in volume and over time and possible organizing principles that might connect current DRO architectures. One of the primary challenges concerns convincing scientists that these tools and practices will actually make the research process easier and more fruitful. This conference included work from CENDI, the National Federal STI Managers Group, the National Federation of Advanced Information Services (NFAIS), the Research Data Alliance (RDA), and the National Academy of Science (NAS).

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"A Conceptual Enterprise Framework for Managing Scientific Data Stewardship"

Ge Peng et al. have published "A Conceptual Enterprise Framework for Managing Scientific Data Stewardship" in the Data Science Journal.

Here's an excerpt:

Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making. Recent U.S. federal government directives and scientific organization guidelines have levied specific requirements, increasing the need for a more formal approach to ensuring that stewardship activities support compliance verification and reporting. However, many science data centers lack an integrated, systematic, and holistic framework to support such efforts. The current business- and process-oriented stewardship frameworks are too costly and lengthy for most data centers to implement. They often do not explicitly address the federal stewardship requirements and/or the uniqueness of geospatial data. This work proposes a data-centric conceptual enterprise framework for managing stewardship activities, based on the philosophy behind the Plan-Do-Check-Act (PDCA) cycle, a proven industrial concept. This framework, which includes the application of maturity assessment models, allows for quantitative evaluation of how organizations manage their stewardship activities and supports informed decision-making for continual improvement towards full compliance with federal, agency, and user requirements.

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University of California: "Re: Declaration of Rights and Principles to Transform Scholarly Communication"

The University of California's University Committee on Library and Scholarly Communication has released "Re: Declaration of Rights and Principles to Transform Scholarly Communication."

Here's an excerpt:

1. No copyright transfers. Our authors shall be allowed to retain copyright in their work and grant a Creative Commons Attribution license of their choosing.

2. No restrictions on preprints. Our authors shall have the right to submit for publication work they have previously made available as preprints.

3. No waivers of OA Policy. Publishers shall not require our authors to provide waivers of our Institutional OA Policy as a condition for publishing our work.

4. No delays to sharing. Publishers shall make work by our authors immediately available for harvest or via automatic deposit into our Institutional OA repository or another public archive.

5. No limitations on author reuse. Our authors shall have the right to reuse figures, tables, data, and text from their published work without permission or payment.

6. No impediments to rights reversion. Publishers shall provide a simple process for our authors to regain copyright in their previously published work.

7. No curtailment of copyright exceptions. Licenses shall not restrict, and should instead expressly protect, the rights of authors, institutions, and the public to reuse excerpts of published work consistent with legal exceptions and limitations on copyright such as fair use.

8. No barriers to data availability. Our authors shall have the right to make all of their data, figures, and other supporting materials from their published work publicly available.

9. No constraints on content mining. Publishers shall make licensed materials open, accessible, and machine-readable for text and data mining by our researchers, at no additional cost and under terms that allow retention and reuse of results.

10. No closed metadata. Publishers shall make bibliographic records, usage metrics, and citation data for our authors freely available, easy to parse, and machine-readable.

11. No free labor. Publishers shall provide our Institution with data on peer review and editorial contributions by our authors in support of journals, and such contributions shall be taken into account when determining the cost of our subscriptions or OA fees for our authors.

12. No long-term subscriptions. Publishers shall provide our Institution with plans and timelines for transitioning their subscription journals to OA.

13. No permanent paywalls. Our Institution shall receive perpetual access for previously licensed content and back files shall be made freely available once a journal transitions to OA.

14. No double payments. Publishers shall provide our Institution with data on hybrid OA payments from our authors and such payments shall reduce the cost of our subscriptions.

15. No hidden profits. Publishers shall use transparent pricing for the services they provide our authors when levying article processing charges and other fees associated with publishing.

16. No deals without OA offsets. Our Institution shall only enter into publishing agreements that include offsets for OA publishing by our authors.

17. No new paywalls for our work. Work by our authors shall be made OA on the publisher’s website as part of subscription terms for new journals.

18. No non-disclosure agreements. Publisher agreements with our Institution shall be transparent and shall not contain terms that prevent the sharing of their contents.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Managing Research Data: Graduate Student and Postdoctoral Researcher Perspectives"

Christie A. Wiley and Erin E. Kerby have published "Managing Research Data: Graduate Student and Postdoctoral Researcher Perspectives" in Issues in Science and Technology Librarianship.

Here's an excerpt:

The authors conducted six focus group semi-structured interviews consisting of graduate students and postdoctoral researchers within the College of Engineering at the University of Illinois Urbana-Champaign (UIUC) in order to understand their roles within research groups and their ability to manage research data. More specifically, participants were asked how they manage, organize, and describe data, as well as the challenges they face in these activities. This study revealed graduate students primarily discuss managing research data in terms of the software they use and that their focus is task specific. Additionally, the language and concepts librarians use in conversations about data management creates a barrier to understanding for graduate students. This study confirms that there is a significant disconnect between the faculty members who design and direct research projects and the graduate students and postdoctoral researchers that do the front-line work. This study helped identify that more data management engagement, interaction, and instruction within research groups is needed. Acknowledging this will allow librarians to develop more meaningful data management instruction and enhance the research data support services provided to faculty.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Open Science Support as a Portfolio of Services and Projects: From Awareness to Engagement"

Birgit Schmidt et al. have published "Open Science Support as a Portfolio of Services and Projects: From Awareness to Engagement" in Publications.

Here's an excerpt:

Together with many other universities worldwide, the University of Göttingen has aimed to unlock the full potential of networked digital scientific communication by strengthening open access as early as the late 1990s. Open science policies at the institutional level consequently followed and have been with us for over a decade. However, for several reasons, their adoption often is still far from complete when it comes to the practices of researchers or research groups. To improve this situation at our university, there is dedicated support at the infrastructural level: the university library collaborates with several campus units in developing and running services, activities and projects in support of open access and open science. This article outlines our main activity areas and aligns them with the overall rationale to reach higher uptake and acceptance of open science practice at the university. The mentioned examples of our activities highlight how we seek to advance open science along the needs and perspectives of diverse audiences and by running it as a multi-stakeholder endeavor. Therefore, our activities involve library colleagues with diverse backgrounds, faculty and early career researchers, research managers, as well as project and infrastructure staff. We conclude with a summary of achievements and challenges to be faced.

Research Data Curation Bibliography, Version 9 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

Turning FAIR Data Into Reality: Interim Report from the European Commission Expert Group on FAIR Data

The European Commission Expert Group on FAIR Data has released Turning FAIR Data Into Reality: Interim Report from the European Commission Expert Group on FAIR Data.

Here's an excerpt:

The central chapters of the report focus on existing practice in certain fields to ascertain what can be learned from those research areas that have already standardised practices and developed international agreements and infrastructure to enable FAIR data sharing. These examples have helped to define models for FAIR data and the essential components of a FAIR data ecosystem. Naturally the main building blocks in the ecosystem are technology-based services, however the social aspects that drive the system and enable culture change are also addressed in sections of the report covering skills, metrics, rewards, investment and sustainability.

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