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Journal of eScience Librarianship
Number of Followers: 206  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2161-3974 - ISSN (Online) 2161-3974
Published by U of Massachusetts Homepage  [16 journals]
  • Curriculum Data Deep Dive: Identifying Data Literacies in the Disciplines

    • Authors: Christina M. Klenke et al.
      Abstract: Objective: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.Methods: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs.Results: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills.Conclusions: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data.
      PubDate: Mon, 03 Feb 2020 06:02:50 PST
       
  • Special Issue: 2019 Research Data Access and Preservation Summit

    • Authors: Tina Griffin et al.
      Abstract: The Journal of eScience Librarianship has partnered with the Research Data Access & Preservation (RDAP) Association for a second year to publish selected conference proceedings. This issue highlights the research presented at the RDAP 2019 Summit and the community it has fostered.
      PubDate: Wed, 08 Jan 2020 07:57:16 PST
       
  • Data Infrastructure and Local Stakeholder Engagement with Biodiversity
           Conservation Research

    • Authors: Ali Krzton
      Abstract: Biodiversity research that informs conservation action is increasingly data intensive. Cutting-edge projects at large institutions use massive aggregated datasets to build dynamic models and conduct novel analyses of natural systems. Most of these research institutions are geographically distant from the highest-priority conservation areas, which are found in South America, Africa, and Southeast Asia. There, data is typically collected by or with the help of local residents hired as field assistants. These field assistants have few meaningful opportunities to participate in biodiversity research and conservation beyond data logging. The literature indicates the data revolution has increased demand for impersonal and integrated large-scale systems that aggregate biodiversity data across sources with minimal friction. In this study, interviews were conducted with six active conservation workers to identify elements of these data systems that create barriers to field assistants’ engagement with the projects they make possible. As both creators and consumers of data, all six relayed frustration with various aspects of their data workflows. Regarding field assistant interaction with digital data systems, they observed that their field assistants engaged only at the initial point of data entry or not at all. Some suggested mobile apps as a good solution for field data collection. However, some also expressed doubt that their local assistants had the necessary knowledge background to navigate digital systems or understand scientific methodologies. These results suggest that trying to mold field assistants to fit existing data infrastructure and adapting purpose-built data systems to nontechnical users are both sub-optimal solutions. A human-mediated capacity building paradigm, which requires embedding people who are both culturally literate and data literate alongside field assistants, is explored as an alternative path to making data meaningful. Improving the accessibility of data this way can empower local communities to share ownership in biodiversity conservation.The substance of this article is based upon a panel presentation at RDAP Summit 2019.
      PubDate: Mon, 23 Dec 2019 11:02:42 PST
       
  • A Carpentries Approach to ACRL Framework Instruction

    • Authors: Ari Gofman
      Abstract: Objective: This paper compares the pedagogical theory driving current norms towards instruction of novices in both fields, specifically focusing on The Carpentries and ACRL Framework instruction. I identify key areas of difference in theoretical and practical approaches towards education of learners entirely new to a topic, focusing on a choice to pursue constructivist or experiential learning versus providing direct instructional guidance.Methods: Two case studies are explored through the lens of the Dreyfus Model of learning for their theoretical underpinings for engaging novice learners: the ACRL Framework and Carpentries’ Instructor Training.Results: Applying the Dreyfus Model of learning and cognitive load theory shows theoretical benefits to direct instructional guidance over constructivist or minimally guided instruction.Conclusions: The ACRL Framework and Carpentries workshops share teaching goals of creating new mental models and core skills to support future learning, but differ in their pedagogical approaches. For novice learners of information literacy, there may be value in considering a more guided approach. Concrete lesson-planning strategies are proposed.The substance of this article is based upon a poster presented at RDAP Summit 2019.
      PubDate: Mon, 23 Dec 2019 11:02:39 PST
       
  • Data Curation for Big Interdisciplinary Science: The Pulley Ridge
           Experience

    • Authors: Timothy B. Norris et al.
      Abstract: The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain. To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions. The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science.The substance of this article is based upon a poster presented at RDAP Summit 2019.
      PubDate: Mon, 23 Dec 2019 11:02:35 PST
       
  • Peer Review of Research Data Submissions to ScholarsArchive@OSU: How can
           we improve the curation of research datasets to enhance reusability'

    • Authors: Clara Llebot et al.
      Abstract: Objective: Best practices such as the FAIR Principles (Findability, Accessibility, Interoperability, Reusability) were developed to ensure that published datasets are reusable. While we employ best practices in the curation of datasets, we want to learn how domain experts view the reusability of datasets in our institutional repository, ScholarsArchive@OSU. Curation workflows are designed by data curators based on their own recommendations, but research data is extremely specialized, and such workflows are rarely evaluated by researchers. In this project we used peer-review by domain experts to evaluate the reusability of the datasets in our institutional repository, with the goal of informing our curation methods and ensure that the limited resources of our library are maximizing the reusability of research data.Methods: We asked all researchers who have datasets submitted in Oregon State University’s repository to refer us to domain experts who could review the reusability of their data sets. Two data curators who are non-experts also reviewed the same datasets. We gave both groups review guidelines based on the guidelines of several journals. Eleven domain experts and two data curators reviewed eight datasets. The review included the quality of the repository record, the quality of the documentation, and the quality of the data. We then compared the comments given by the two groups.Results: Domain experts and non-expert data curators largely converged on similar scores for reviewed datasets, but the focus of critique by domain experts was somewhat divergent. A few broad issues common across reviews were: insufficient documentation, the use of links to journal articles in the place of documentation, and concerns about duplication of effort in creating documentation and metadata. Reviews also reflected the background and skills of the reviewer. Domain experts expressed a lack of expertise in data curation practices and data curators expressed their lack of expertise in the research domain.Conclusions: The results of this investigation could help guide future research data curation activities and align domain expert and data curator expectations for reusability of datasets. We recommend further exploration of these common issues and additional domain expert peer-review project to further refine and align expectations for research data reusability.The substance of this article is based upon a panel presentation at RDAP Summit 2019.
      PubDate: Mon, 23 Dec 2019 11:02:32 PST
       
  • This is my First One: Finding and Building Community at RDAP Summit 2019

    • Authors: Ateanna Uriri
      Abstract: This commentary depicts the experiences and thoughts of both a first-time attendee to the Research Data Access and Preservation (RDAP) Summit held May 2019 and of a library/data-related conference. The author describes her decision in choosing the RDAP Summit as the first-ever conference she would attend in her growing librarianship career and how she was initially reluctant in attending, due to her not being a full-time data practitioner. But after attending, she came to the realization that the RDAP Summit is for anyone interested in data, including those who are new to the profession or have been working with data for a number of years. This commentary will also include a common thread in the format of the Summit, highlights of attending, and takeaways that will prove useful to the author professionally and personally.The substance of this article is based upon the author’s experience at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:45 PST
       
  • Resurfacing Historical Scientific Data: A Case Study Involving Fruit
           Breeding Data

    • Authors: Shannon L. Farrell et al.
      Abstract: Objective: The objective of this paper is to illustrate the importance and complexities of working with historical analog data that exists on university campuses. Using a case study of fruit breeding data, we highlight issues and opportunities for librarians to help preserve and increase access to potentially valuable data sets.Methods: We worked in conjunction with researchers to inventory, describe, and increase access to a large, 100-year-old data set of analog fruit breeding data. This involved creating a spreadsheet to capture metadata about each data set, identifying data sets at risk for loss, and digitizing select items for deposit in our institutional repository.Results/Discussion: We illustrate that large amounts of data exist within biological and agricultural sciences departments and labs, and how past practices of data collection, record keeping, storage, and management have hindered data reuse. We demonstrate that librarians have a role in collaborating with researchers and providing direction in how to preserve analog data and make it available for reuse. This work may provide guidance for other science librarians pursing similar projects.Conclusions: This case study demonstrates how science librarians can build or strengthen their role in managing and providing access to analog data by combining their data management skills with researchers’ needs to recover and reuse data.The substance of this article is based upon a panel presentation at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:42 PST
       
  • A Small Liberal Arts College Librarian at RDAP: Observations on
           Translating our Work Between Institutions

    • Authors: Sarah K. Oelker
      Abstract: This commentary describes the impressions of a first-time attendee from a small liberal arts college (SLAC) to the Research Data Access and Preservation (RDAP) Summit, in May 2019, and observations about the makeup of the conference in terms of types of jobs and types of institutions represented among the attendees. The author also outlines a more general difficulty librarians from any institution face in adapting lessons learned and examples given by research data management librarians at other institutions, due to differences in institutional structure. The commentary suggests ways data management professionals might make reuse of ideas and solutions easier for one another, by analyzing why solutions work at different types of institutions, and by developing our understanding of how to replicate successful projects and practices in different organizational structures. The author discusses the value of attending RDAP Summit for librarians from smaller institutions such as SLACs, and compares the RDAP experience with professional development opportunities regarding data librarianship that are available on a region-by-region basis.The substance of this article is based upon the author’s experience at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:39 PST
       
  • Writing With Librarians: Reporting Back on Turning Your Poster or
           Presentation Into an Article

    • Authors: Kristin Lee et al.
      Abstract: Objective: The objective of this article is to report on the process and effectiveness of a workshop presented at the Research Data Access and Preservation Summit 2019. Reporting back on how the workshop was developed and the impact it had on participants can inform future workshops on writing for librarians. Workshop materials are available in an associated OSF project.Methods: The authors approached workshop development holistically—that writing is a craft that requires habits and networks, and that participants are interested in hearing the technical guidelines of writing and submitting an article. The workshop dedicated time to activities meant to build a plan for writing. Data presented in this article was collected using Qualtrics, and is reported on in aggregate. Participants responded to the survey before the workshop started and after the conclusion of the workshop.Results: Participants reported that the workshop gave them a plan for how to move forward with transforming their presentation or poster into an article, and that they generally felt more empowered to write.Conclusions: This article suggests that it is important to provide an avenue for authors to develop professionally around writing. Attendees were eager for an opportunity to develop their writing, and to learn more about the opaque processes related to publishing an article, like how double-blind peer-review works and the different types of articles. The authors hope that others can reuse the materials presented at the workshop and provide more avenues of professional development for librarians and library professionals.The substance of this article is based upon a workshop at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:35 PST
       
  • How You Can Write More Inclusive Data Practitioner Job Postings

    • Authors: Joanna Thielen et al.
      Abstract: The principles of equity, diversity, and inclusion have long been incorporated into many aspects of the data practitioner profession. The hiring process is an exception; it is opaque, stress-inducing, and ultimately reinforces a homogeneous workforce. Job postings are important both as a window into the profession and as the first way that candidates interact with your institution. This Commentary article provides concrete and actionable recommendations on how you can start writing more equitable, diverse, and inclusive job postings at your institution.The substance of this article is based upon a panel presentation at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:32 PST
       
  • Collaborating Externally and Training Internally to Support Research Data
           Services

    • Authors: Matthew R. Harp et al.
      Abstract: The ASU Library is actively building relationships around and increasing its expertise in research data services. We have established a collaboration with our university’s research administration in order to coordinate our distinct areas of expertise in research data services so that both entities can better support researchers all the way through the research data lifecycle. The Library embedded itself into research administration’s learning management system and works with their research advancement officers to engage with researchers and staff we have not traditionally reached. Forging this new collaboration increased expectations that the Library will expand existing research data services to more investigators, so we have grown Library professionals’ internal competencies by providing research data management training opportunities to meet these demands. In addition, the Library’s Research Services Working Group established data competencies, workflows, and trainings so more librarians gain skills necessary to answer and assist patrons with data needs. Greater expertise throughout the Library enables us to authentically and confidently scale our research data services and form new collaborations.The substance of this article is based upon a lightning talk given at RDAP Summit 2019.
      PubDate: Wed, 18 Dec 2019 08:42:29 PST
       
  • Baseball and Research Data Management (RDM) Planning: It’s All About
           Depth and Data

    • Authors: Regina Fisher Raboin
      Abstract: As any lover of the game of baseball knows, at this time of year it’s all about depth – what you built in the farm system and on the bench matters; the data crunched before and during the season comes into play when managing a team to the World Series. Gut feelings and hunches matter too.Since being affected by the Federal government’s open data requirements, libraries and their institutions have been building research data management services and opportunities for researchers. There were libraries and institutions ready to jump into the fray of an ever-evolving RDM landscape, and currently, these services are being assessed in order to expand the depth and breadth of their RDM offerings.
      PubDate: Tue, 22 Oct 2019 05:53:05 PDT
       
  • Research Data Management Among Life Sciences Faculty: Implications for
           Library Service

    • Authors: Kelly A. Johnson et al.
      Abstract: Objective: This paper aims to inform on opportunities for librarians to assist faculty with research data management by examining practices and attitudes among life sciences faculty at a tier one research university.Methods: The authors issued a survey to estimate actual and perceived research data management needs of New York University (NYU) life sciences faculty in order to understand how the library could best contribute to the research life cycle.Results: Survey responses indicate that over half of the respondents were aware of publisher and funder mandates, and most are willing to share their data, but many indicated they do not utilize data repositories. Respondents were largely unaware of data services available through the library, but the majority were open to considering such services. Survey results largely mimic those of similar studies, in that storing data (and the subsequent ability to share it) is the most easily recognized barrier to sound data management practices.Conclusions: At NYU, as with other institutions, the library is not immediately recognized as a valuable partner in managing research output. This study suggests that faculty are largely unaware of, but are open to, existent library services, indicating that immediate outreach efforts should be aimed at promoting them.
      PubDate: Tue, 22 Oct 2019 05:53:00 PDT
       
  • Skills, Standards, and Sapp Nelson's Matrix: Evaluating Research Data
           Management Workshop Offerings

    • Authors: Philip Espinola Coombs et al.
      Abstract: Objective: To evaluate library workshops on their coverage of data management topics.Methods: We used a modified version of Sapp Nelson’s Competency Matrix for Data Management Skills, a matrix of learning goals organized by data management competency and complexity level, against which we compared our educational materials: slide decks and worksheets. We examined each of the educational materials against the 333 learning objectives in our modified version of the Matrix to determine which of the learning objectives applied.Conclusions: We found it necessary to change certain elements of the Matrix’s structure to increase its clarity and functionality: reinterpreting the “behaviors,” shifting the organization from the three domains of Bloom’s taxonomy to increasing complexity solely within the cognitive domain, as well as creating a comprehensive identifier schema. We appreciated the Matrix for its specificity of learning objectives, its organizational structure, the comprehensive range of competencies included, and its ease of use. On the whole, the Matrix is a useful instrument for the assessment of data management programming.
      PubDate: Wed, 31 Jul 2019 21:04:51 PDT
       
  • Joining Together to Build More: The New England Software Carpentry Library
           Consortium

    • Authors: Thea P. Atwood et al.
      Abstract: In 2017 a group of academic library and information technology staff from institutions across New England piloted a process of joining The Carpentries, an organization developed to train researchers in essential computing skills and practices for automating and improving their handling of data, as a consortium. The New England Software Carpentry Library Consortium (NESCLiC) shared a gold-level tier membership to become a Carpentries member organization. NESCLiC members attended a Software Carpentry workshop together and then participated in instructor training as a cohort, collaborating on learning the material, practicing, and beginning to host and teach workshops as a group.This article describes both the successes and challenges of forming this new consortium, suggests good practices for those who might wish to form similar collaborations, and discusses the future of this program and other efforts to help researchers improve their computing and data handling skills.
      PubDate: Mon, 29 Jul 2019 08:14:45 PDT
       
  • Building A National Research Data Management Course for Health Information
           Professionals

    • Authors: Jessica Van Der Volgen et al.
      Abstract: Background: In August 2017 the National Network of Libraries of Medicine Training Office (NTO) was awarded an administrative supplement from the National Library of Medicine (NLM) to create training for librarians in biomedical and health research data management (RDM). The primary goal of the training was to enable information professionals to initiate or enhance RDM at their institutions.Case Presentation: An eight-week online course was developed to address key concepts in RDM. Each module was organized around measurable learning objectives using existing subject resources, such as readings, tutorials, and videos. Within each module, an expert in the field co-facilitated relevant discussions, created and graded a practical assignment, and answered questions. Thirty-eight participants were selected for this initial cohort. Mentors were assigned to each participant for guidance in completing a required project action plan to further their RDM goals at their institution. The course was evaluated through pre- and post-tests and an online questionnaire.Results: Thirty participants successfully completed the online course work and project, and gathered at the National Institutes of Health for a Capstone Summit. Students demonstrated improved knowledge of RDM concepts between the pre- and post-tests. Most students also self-reported increased skill and confidence. Practical assignments with individual feedback from experienced data librarians were the most valued aspect of the course. Time to complete each module was underestimated.Conclusions: The initial offering of this training program improved the RDM skills and knowledge of participants and enabled students to add or enhance services at their institutions. Further investigations are necessary to determine the longer-term impact on the individuals and their libraries. While many of the participants will need additional training to become part of the data-ready workforce of health information professionals, completing this training is an important step in their professional development.
      PubDate: Mon, 29 Jul 2019 08:14:33 PDT
       
  • Establishing a Research Data Management Service on a Health Sciences
           Campus

    • Authors: Kathryn Vela et al.
      Abstract: Objective: Given the increasing need for research data management support and education, the Spokane Academic Library at Washington State University (WSU) sought to determine the data management practices, perceptions, and needs of researchers on the WSU Spokane health sciences campus.Methods: A 23-question online survey was distributed to WSU researchers and research support staff through the campus listserv. This online survey addressed data organization, documentation, storage & backup, security, preservation, and sharing, as well as challenges and desired support services. Results: Survey results indicated that there was a clear need for more instruction with regard to data management planning, particularly as data management planning addresses the areas of metadata design, data sharing, data security, and data storage and backup.Conclusions: This needs assessment will direct how RDM services are implemented on the WSU Spokane campus by the Spokane Academic Library (SAL). These services will influence both research data quality and integrity through improved data management practices.
      PubDate: Thu, 21 Mar 2019 07:04:22 PDT
       
  • What’s in the Box' Assessing the potential usability of four decades
           of thesis and dissertation supplementary files

    • Authors: Steven Van Tuyl
      Abstract: Objectives: The objective of this study is to evaluate the quality and usability of supplementary data files deposited, between 1971 and 2015, to our university institutional repository. Understanding the extent to which content historically deposited in digital repositories is usable by today’s researchers can help inform digital preservation and documentation practices for researchers today.Methods: I identified all graduate level theses and dissertations (GTDs) in the institutional repository with multiple files as a first pass at identifying documents that included supplementary data files. These GTDs were then individually examined, removing supplementary files that were artifacts of either the upload or digitization process. The remaining “true” supplementary files were then individually opened and evaluated following elements of the DATA rubric of Van Tuyl and Whitmire (2016).Results: Supplementary files were discovered in the repository dating back to 1971 in 116 GTD submissions totalling more than 25,000 files. Most GTD submissions included fewer than 30 files, though some submissions included thousands of individual data files. The most common file types submitted include imagery, tabular data, and databases, with a very large number of unknown file types. Overall, levels of documentation were poor while actionability of datasets was generally middling.Conclusions: The results presented in this study suggest that legacy data submitted to our institutional repository with GTDs is generally in poor shape with respect to Transparency and somewhat less so for Actionability. It is clear from this study and others that researchers have a long road ahead when it comes to sharing data in a way that makes it potentially useable by other researchers.
      PubDate: Mon, 18 Mar 2019 11:47:18 PDT
       
  • Assessing Data Management Support Needs of Bioengineering and Biomedical
           Research Faculty

    • Authors: Christie A. Wiley et al.
      Abstract: Objectives: This study explores data management knowledge, attitudes, and practices of bioengineering and biomedical researchers in the context of the National Institutes of Health-funded research projects. Specifically, this study seeks to answer the following questions:
      What is the nature of biomedical and bioengineering research on the Illinois campus and what kinds of data are being generated'
      To what degree are biomedical and bioengineering researchers aware of best practices for data management and what are the actual data management behaviors'
      What aspects of data management present the greatest challenges and frustrations'
      To what degree are biomedical and bioengineering researchers aware of data sharing opportunities and data repositories, and what are their attitudes towards data sharing'
      To what degree are researchers aware of campus services and support for data management planning, data sharing, and data deposit, and what is the level of interest in instruction in these areas' Methods: Librarians on the University of Illinois at Urbana Champaign campus conducted semi-structured interviews with bioengineering and biomedical researchers to explore researchers’ knowledge of data management best practices, awareness of library campus services, data management behavior and challenges managing research data. The topics covered during the interviews were current research projects, data types, format, description, campus repository usage, data-sharing, awareness of library campus services, data reuse, the anticipated impact of health on public and challenges (interview questions are provided in the Appendix).Results: This study revealed the majority of researchers explore broad research topics, various file storage solutions, generate numerous amounts of data and adhere to differing discipline-specific practices. Researchers expressed both familiarity and unfamiliarity with DMP Tool. Roughly half of the researchers interviewed reported having documented protocols for file names, file backup, and file storage. Findings also suggest that there is ambiguity about what it means to share research data and confusion about terminology such as “repository” and “data deposit”. Many researchers equate publication to data sharing.Conclusions: The interviews reveal significant data literacy gaps that present opportunities for library instruction in the areas of file organization, project workflow and documentation, metadata standards, and data deposit options. The interviews also provide invaluable insight into biomedical and bioengineering research in general and contribute to the authors’ understanding of the challenges facing the researchers we strive to support.
      PubDate: Mon, 18 Mar 2019 11:47:08 PDT
       
 
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