Journal of eScience Librarianship Copyright (c) 2015 University of Massachusetts Medical School All rights reserved. http://escholarship.umassmed.edu/jeslib Recent documents in Journal of eScience Librarianship en-us Mon, 23 Nov 2015 07:56:20 PST 3600 “Personas” to Support Development of Cyberinfrastructure for Scientific Data Sharing http://escholarship.umassmed.edu/jeslib/vol4/iss2/2 http://escholarship.umassmed.edu/jeslib/vol4/iss2/2 Thu, 05 Nov 2015 17:41:10 PST Objective: To ensure that cyberinfrastructure for sharing scientific data is useful, system developers need to understand what scientists and other intended users do as well as the attitudes and beliefs that shape their behaviours. This paper introduces personas — detailed descriptions of an “archetypical user of a system” — as an approach for capturing and sharing knowledge about potential system users.

Setting: Personas were developed to support development of the ‘DataONE’ (Data Observation Network for Earth) project, which has developed and deployed a sustainable long-term data preservation and access network to ensure the preservation and access to multi-scale, multi-discipline, and multi-national environmental and biological science data (https://www.dataone.org/what-dataone) (Michener et al. 2012).

Methods: Personas for DataONE were developed based on data from surveys and interviews done by members of DataONE working groups along with sources such as usage scenarios for DataONE and the Data Conservancy project and the Purdue Data Curation Profiles (Witt et al. 2009).

Results: A total of 11 personas were developed: five for various kinds of research scientists (e.g., at different career stages and using different types of data); a science data librarian; and five for secondary roles.

Conclusion: Personas were found to be useful for helping developers and other project members to understand users and their needs. The developed DataONE personas may be useful for others trying to develop systems or programs for scientists involved in data sharing.

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Kevin Crowston
Preparing to Accept Research Data: Creating Guidelines for Librarians http://escholarship.umassmed.edu/jeslib/vol4/iss2/1 http://escholarship.umassmed.edu/jeslib/vol4/iss2/1 Thu, 05 Nov 2015 17:41:07 PST Rutgers University Libraries have recognized the need to expand their current research data services into a well-documented and well-supported service available to the Rutgers research community. In 2005, Rutgers University Libraries created RUcore, Rutgers University Community Repository, which has served as the University’s formal repository for institutional scholarship, special collections, and Electronic Theses & Dissertations. With the impetus of the 2010 NSF directive for research data sharing and preservation, RUcore development was extended to accept research data content. Ingest of pilot data projects began in 2010 via a librarian-mediated process.

In order to provide a better defined workflow and mission for research data services, in July 2014, the Rutgers University Librarian organized a Task Force to investigate the evaluation process for technical, legal, and confidential issues involved in research data acceptance, and to establish an administrative and evaluation framework for the deposit of research data. After a review of 35 repositories using 34 criteria, the Task Force drafted a plan for research data acceptance which proposes wide-spread acceptance of mediated data projects, and prepares for future self-deposit in an online interface. This paper will discuss the issues addressed by the Task Force; acknowledging ownership of data through an institutional data policy, preventing exposure of confidential or sensitive data, establishing a reconfigured data team, requirements for storage capacity and funding, creating a workflow which includes collaboration with research offices, and offering guidance for both researchers and librarians working with research data.

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Laura B. Palumbo et al.
Targeting and Customizing Research Data Management Services (RDM) http://escholarship.umassmed.edu/jeslib/vol4/iss1/9 http://escholarship.umassmed.edu/jeslib/vol4/iss1/9 Tue, 20 Oct 2015 11:29:53 PDT Designing library services is not new to our field. Service design done right is both challenging and rewarding. In this issue of the Journal of eScience Librarianship, librarians across the country write about the importance of providing a solid Research Data Management (RDM) Service, coupled with targeting institutional partners and solid education practices.

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Elaine R. Martin
Data Management Outreach to Junior Faculty Members: A Case Study http://escholarship.umassmed.edu/jeslib/vol4/iss1/8 http://escholarship.umassmed.edu/jeslib/vol4/iss1/8 Fri, 21 Aug 2015 11:06:01 PDT New tenure track faculty members are generally in positions as leaders of a research laboratory or group for the first time. In addition to building up the infrastructure of a research lab (whether space, equipment, funding, or personnel), the new faculty member is also setting the research process and expectations for the first time as well. This article highlights outreach to new faculty members assisting those individuals with developing a data management protocol that effectively supports the laboratory researchers to make quality data available internally to and externally from a research laboratory. Using a self-assessment tool and reflective conversation, junior faculty were offered insight and advice into creating a data management protocol for use in their research laboratory.

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Megan Sapp Nelson
En Français S'il Vous Plaît: Translation and Adaptation of the New England Collaborative Data Management Curriculum’s Introductory Module http://escholarship.umassmed.edu/jeslib/vol4/iss1/7 http://escholarship.umassmed.edu/jeslib/vol4/iss1/7 Fri, 14 Aug 2015 07:11:02 PDT The New England Collaborative Data Management Curriculum (NECDMC) is “an instructional tool for teaching data management best practices to undergraduates, graduate students, and researchers in the health sciences” (Lamar Soutter Library 2015a). This article reports on the French translation and adaptation of the first module of the NECDMC as part of the design of a short library instruction workshop.

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Natalie Clairoux
Research Data Practices in Veterinary Medicine: A Case Study http://escholarship.umassmed.edu/jeslib/vol4/iss1/6 http://escholarship.umassmed.edu/jeslib/vol4/iss1/6 Fri, 31 Jul 2015 06:21:05 PDT Objective: To determine trends in research data output, reuse, and sharing of the college of veterinary medicine faculty members at a large academic research institution.

Methods: This bibliographic study was conducted by examining original research articles for indication of the types of data produced, as well as evidence that the authors reused data or made provision for sharing their own data. Findings were recorded in the categories of research type, data type, data reuse, data sharing, author collaboration, and grants/funding and were analyzed to determine trends.

Results: A variety of different data types were encountered in this study, even within a single article, resulting primarily from clinical and laboratory animal studies. All of the articles resulted from author collaboration, both within the University of Illinois at Urbana-Champaign, as well as with researchers outside the institution. There was little indication that data was reused, except some instances where the authors acknowledged that data was obtained directly from a colleague. There was even less indication that the research data was shared, either as a supplementary file on the publisher’s website or by submission to a repository, except in the case of genetic data.

Conclusions: Veterinary researchers are prolific producers and users of a wide variety of data. Despite the large amount of collaborative research occurring in veterinary medicine, this study provided little evidence that veterinary researchers are reusing or sharing their data, except in an informal manner. Wider adoption of data management plans may serve to improve researchers’ data management practices.

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Erin E. Kerby
Diving into Data: Planning a Research Data Management Event http://escholarship.umassmed.edu/jeslib/vol4/iss1/5 http://escholarship.umassmed.edu/jeslib/vol4/iss1/5 Thu, 16 Jul 2015 11:46:54 PDT The George T. Harrell Health Sciences Library at Penn State Hershey initiated its participation in institutional research data management activities by coordinating and hosting a well-attended data management symposium. To maximize relevance to clinical and basic sciences researchers, a planning committee of faculty and administrators assisted in defining important topics for the event. This article describes the symposium development and outcomes. The goal is to share this information with librarians who are seeking ways to become more involved with data management in their institutions.

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Robyn B. Reed
Assessment of Data Management Services at New England Region Resource Libraries http://escholarship.umassmed.edu/jeslib/vol4/iss1/4 http://escholarship.umassmed.edu/jeslib/vol4/iss1/4 Thu, 16 Jul 2015 11:20:56 PDT Objective: To understand how New England medical libraries are addressing scientific research data management and providing services to their communities.

Setting: The National Network of Libraries of Medicine, New England Region (NN/LM NER) contains 17 Resource Libraries. The University of Massachusetts Medical School serves as the New England Regional Medical Library (RML). Sixteen of the NER Resource Libraries completed this survey.

Methods: A 40-question online survey assessed libraries’ services and programs for providing research data management education and support. Libraries shared their current plans and institutional challenges associated with developing data services.

Results: This study shows few NER Resource Libraries currently integrate scientific research data management into their services and programs, and highlights the region’s use of resources provided by the NN/LM NER RML at the University of Massachusetts Medical School.

Conclusions: Understanding the types of data services being delivered at NER libraries helps to inform the NN/LM NER about the eScience learning needs of New England medical librarians and helps in the planning of professional development programs that foster effective biomedical research data services.

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Julie Goldman et al.
Required Data Management Training for Graduate Students in an Earth and Environmental Sciences Department http://escholarship.umassmed.edu/jeslib/vol4/iss1/3 http://escholarship.umassmed.edu/jeslib/vol4/iss1/3 Wed, 24 Jun 2015 11:51:27 PDT The increasing importance of data management in the sciences has led the Department of Earth & Environmental Sciences at a research intensive university to work closely with the Physical Sciences Librarian and Data Services Librarian on campus to provide mandatory training to its graduate students. Although integrating data management training into the graduate program curriculum may not be possible, there are still opportunities to ensure students learn such skills prior to graduating. This article describes the four approaches taken thus far — a seminar about basic data management during the department’s weekly seminar series, creation of a Data Profile form that students were asked to complete, an interactive workshop during the department’s annual retreat, and assistance with writing data management plans. Buy-in for requiring data management training was essential from both faculty and students and was possible because both groups understood the value of research data management skills. Also vital to the success of these approaches was how the subject specialist and data librarians leveraged their respective areas of expertise in a complementary fashion to address disciplinary as well as broader data-related concerns.

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Bonnie L. Fong et al.
Differences in the Data Practices, Challenges, and Future Needs of Graduate Students and Faculty Members http://escholarship.umassmed.edu/jeslib/vol4/iss1/2 http://escholarship.umassmed.edu/jeslib/vol4/iss1/2 Wed, 24 Jun 2015 11:51:25 PDT Objective: In light of academic libraries expanding the data services they offer, this article hopes to improve the understanding of data practices, challenges and future needs of academic library user groups.

Setting, Design and Method: In the fall of 2013, librarians and campus grant specialist conducted an institution wide web-based survey at the University of Kansas, a major public research institution, with several hundred respondents.

Results: Graduate students and faculty members report differences in their data practices, research challenges and data-related needs.

Conclusions: Academic libraries should target data services to the interests and needs of their distinct user groups.

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Travis Weller et al.
Examination of Federal Data Management Plan Guidelines http://escholarship.umassmed.edu/jeslib/vol4/iss1/1 http://escholarship.umassmed.edu/jeslib/vol4/iss1/1 Tue, 23 Jun 2015 07:06:11 PDT Data management plans as expectations of the grant proposal process are still fairly novel, and the expected format and content of these plans is still evolving. The objective of this research is to gain a greater understanding of the expected content for data management plans submitted as part of grant proposals to federal funding agencies. This paper examines federal funding agencies’ data management plan guidelines in relation to the broad elements of data management identified by the Interagency Working Group on Digital Data: Description, Impact, Content & Format, Protection, Preservation, Access, and Transfer of Responsibility. Specifically, statements in agencies’ guidelines were categorized into the most applicable category (or categories). The representation of each category within each agency’s guidelines was addressed, and the statements falling in each category were analyzed. Some categories, including Access and Preservation, were represented in all or nearly all of the guidelines examined. Other categories — Impact and Transfer of Responsibility — were rarely addressed. The expectations for data management plans are evolving and will likely continue to evolve as more agencies require them.

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Jennifer L. Thoegersen
Initiating Data Management Instruction to Graduate Students at the University of Houston Using the New England Collaborative Data Management Curriculum http://escholarship.umassmed.edu/jeslib/vol3/iss1/11 http://escholarship.umassmed.edu/jeslib/vol3/iss1/11 Mon, 12 Jan 2015 06:16:04 PST The need for graduate instruction on data management best practices across disciplines is a theme that has emerged from two campus-wide data management needs assessments that have been conducted at the UH Libraries since 2010. Graduate students are assigned numerous data management responsibilities over the course of their academic careers, but rarely receive formal training in this area. To address this need, the UH Libraries offered a workshop entitled Research Data Management 101 in April, 2014, and all graduate and professional students on campus were invited to attend. The New England Collaborative Data Management Curriculum (NECDMC) served as the basis for the workshop, and two general sessions were planned. A research group in the College of Natural Sciences & Mathematics requested a special session after advertisements for the workshop were distributed. One hundred and five individuals registered for the event, sixty-five signed into the workshop, and sixty-three completed the end-of-workshop assessment. The results from this assessment, general lessons learned, and plans for future sessions will be discussed.

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Christie Peters et al.
The New England Collaborative Data Management Curriculum Pilot at the University of Manitoba: A Canadian Experience http://escholarship.umassmed.edu/jeslib/vol3/iss1/10 http://escholarship.umassmed.edu/jeslib/vol3/iss1/10 Mon, 12 Jan 2015 06:16:02 PST Canada’s federal funding agencies are following the directions of funding agencies in the United States and United Kingdom, and will soon require a data management plan in grant applications. The University of Manitoba Libraries in Canada has started planning and implementing research data services, and education is seen as a key component. In June 2014, the New England Collaborative Data Management Curriculum (NECDMC) (Lamar Soutter Library, University of Massachusetts Medical School 2014) was piloted and used to provide data management training for a group of subject librarians at the University of Manitoba Libraries, in combination with information about data-related policies of the Canadian funding agencies and the University of Manitoba. The seven NECDMC modules were delivered in a seminar style, with emphasis on group discussions and Canadian content. The benefits of NECDMC – adaptability and flexible framework – should be weighed against the challenges experienced in the pilot, mainly the significant amount of time needed to create local content and complement the existing curriculum. Overall, the pilot showed that NECDMC is a good, thorough introduction to data management, and that it is possible to adapt NECDMC to the local and Canadian settings in an effective way.

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Mayu Ishida
Gaining Traction in Research Data Management Support: A Case Study http://escholarship.umassmed.edu/jeslib/vol3/iss1/9 http://escholarship.umassmed.edu/jeslib/vol3/iss1/9 Mon, 12 Jan 2015 06:16:00 PST With the implementation of an institutional repository, librarians at the University of Vermont (UVM) began receiving inquiries about data management. In an effort to explore research data management roles for librarians at UVM the author led workshops based on Module One of the New England Collaborative Data Management Curriculum (NECDMC) with two audiences. In addition, the author consulted with faculty and staff from around the university to ascertain their support of research data management and integrate that information into the workshops. The first workshop was directed at UVM librarians and resulted in an understanding of their willingness to engage with research data management patron services. The second workshop was conducted for students and faculty. It built upon the first workshop and, in addition, experimented with a sixty-minute version of the NECDMC module. This second workshop will be added to an existing series of Dana Library workshops for graduate students and early-career researchers in fall 2014.

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Donna L. O'Malley
Lessons Learned From a Research Data Management Pilot Course at an Academic Library http://escholarship.umassmed.edu/jeslib/vol3/iss1/8 http://escholarship.umassmed.edu/jeslib/vol3/iss1/8 Mon, 12 Jan 2015 06:15:58 PST Setting and Objective:

From January-March 2014, three librarians from the University of Washington (UW) taught a course in research data management as a pilot for the New England Collaborative Data Management Curriculum (NECDMC). The goals of the workshops were to a) pilot the NECDMC curriculum to see how effective it was as an out-of-the box solution for teaching research data management (RDM), and b) to gauge interest in an RDM class among certain UW student populations, and c) to teach UW’s first RDM workshop offered to non-librarians.

Design and Methods:

The NECDMC consists of 7 modules that can be taught independently or as a series. UW decided to teach all seven modules consecutively, as one-hour long weekly workshops. Each module included a lecture and activity or discussion. We taught at one location on upper campus, and live-streamed the lecture to another location in the Health Sciences Library. Each module was assessed at the end of the class.

Results:

Interest in a research data management class is high; however, retention for a non-credit, 7-week class is low. Individual assessments show that students thought the content was important and well-delivered.

Conclusions:

Based on registration, graduate students at UW in many disciplines are interested in learning research data management skills. A non-credit, 7-week class had low retention; another type of class structure might increase retention. The NECDMC curriculum is an excellent framework, but modification to individual modules are necessary to provide a thorough and localized curriculum specific to one institution.

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Jennifer Muilenburg et al.
Building the New England Collaborative Data Management Curriculum http://escholarship.umassmed.edu/jeslib/vol3/iss1/7 http://escholarship.umassmed.edu/jeslib/vol3/iss1/7 Mon, 12 Jan 2015 06:15:56 PST The need for a curriculum designed for librarians to use for teaching STEM research data management skills to their constituents from diverse STEM disciplines has been widely identified. (Qin and D’Ignazio 2010). From 2012-2014, a collaborative group of New England librarians, led by a project team from the University of Massachusetts Medical School, developed lecture notes, presentation slides, assignments, readings, and case studies for teaching research data management. The New England Collaborative Data Management Curriculum (NECDMC) is unique in its flexibility; providing subject agnostic instructional materials in a modular format for teaching common data management best practices along with a suite of teaching cases illustrating data management in disciplinary contexts. This article is a follow-up to the “Teaching Research Data Management: An Undergraduate/Graduate Curriculum (Piorun et al. 2012) that was published in the Journal of eScience Librarianship.

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Donna Kafel et al.
What is Data Literacy? http://escholarship.umassmed.edu/jeslib/vol3/iss1/6 http://escholarship.umassmed.edu/jeslib/vol3/iss1/6 Mon, 12 Jan 2015 06:15:55 PST JESLIB Editor Elaine R. Martin introduces the articles in Volume 3, Issue 1 by discussing data literacy and the various forms of library services designed to support it. Martin highlights that librarians are already taking advantage of the opportunity to provide data support services and that the articles in this issue can serve as a point of reference for developing further data services and strategies for service development.

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Elaine R. Martin
Building Data Services From the Ground Up: Strategies and Resources http://escholarship.umassmed.edu/jeslib/vol3/iss1/5 http://escholarship.umassmed.edu/jeslib/vol3/iss1/5 Mon, 12 Jan 2015 06:15:53 PST There is a scarcity of practical guidance for developing data services in an academic library. Data services, like many areas of research, require the expertise and resources of teams spanning many disciplines. While library professionals are embedded into the teaching activities of our institutions, fewer of us are embedded in research activities occurring across the full life cycle. The significant challenges of managing, preserving, and sharing data for reuse demand that we take a more active role. Providing support for funder data management plans is just one option in the data services landscape. Awareness of the institutional and library culture in which we operate places an emphasis on the importance of relationships. Understanding the various cultures in which our researchers operate is crucial for delivering data services that are relevant and utilized. The goal of this article is to guide data specialists through this landscape by providing key resources and strategies for developing locally relevant services and by pointing to active communities of librarians and researchers tackling the challenges associated with digital research data.

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Heather L. Coates
Research Data MANTRA: A Labour of Love http://escholarship.umassmed.edu/jeslib/vol3/iss1/4 http://escholarship.umassmed.edu/jeslib/vol3/iss1/4 Fri, 19 Dec 2014 06:15:46 PST Research Data MANTRA (or Management Training) is a labour of love. It has been an integral part of the University of Edinburgh's Research Data Management (RDM) programme since 2012. The staff at EDINA and Data Library at the University of Edinburgh has been curating this resource, based on internal and external feedback and has just published its fourth release since 2011. MANTRA is an open, web-based training course intended for self-paced learning by PhD students and early career researchers or others who manage digital data as part of a research project. It informs about good practice in research data management with real life stories. MANTRA’s approach is to be fun, relevant, useful, interactive and timely (FRUIT!). Librarians’ training needs are catered for through a companion resource, the DIY RDM Training Kit for Librarians.

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Robin Rice
An Analysis of Data Management Plans in University of Illinois National Science Foundation Grant Proposals http://escholarship.umassmed.edu/jeslib/vol3/iss1/3 http://escholarship.umassmed.edu/jeslib/vol3/iss1/3 Fri, 19 Dec 2014 06:05:49 PST The University of Illinois at Urbana-Champaign (UIUC) Library conducted an analysis of 1,260 Data Management Plans (DMPs) submitted in National Science Foundation (NSF) proposals from July 2011 through November 2013. Each DMP was assigned controlled vocabulary and keyword terms which summarized the proposed data management mechanisms for storing and sharing data. A database composed of the proposal’s title, PI (Principal Investigator), PI’s department and college, NSF grant number, funded status, assigned DMP vocabulary, and keyword terms was constructed. As of May 2014, a total of 298 of these UIUC proposals had been funded by the NSF. Our analysis of this sample revealed no significant statistical differences in proposed data storage and reuse venues between funded and unfunded proposals. However, there was a statistically higher frequency of use of the campus institutional repository and disciplinary repositories in proposals submitted after October 2012.

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William H. Mischo et al.
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