Data Management Training for Graduate Students at a Large Research University

Adamick, Jessica; Reznik-Zellen, Rebecca; Sheridan, Matt

doi:10.7191/jeslib.2012.1022

Cited by 23 publications

(27 citation statements)

References 2 publications

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“…Many professional societies encourage data sharing through their associated journals (see 3.3.2), as well as facilitating data sharing through training and professional development opportunities offered in association with society meetings. University libraries may also promote data sharing by providing training and access to institutional data repositories and data management guides (Adamick et al, 2012;King, 2007;Treloar et al, 2012).…”

Section: The Role Of Scientists and Professional Societiesmentioning

confidence: 99%

Ecological data sharing

Michener

2015

Ecological Informatics

179

153

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Data sharing is the practice of making data available for use by others. Ecologists are increasingly generating and sharing an immense volume of data. Such data may serve to augment existing data collections and can be used for synthesis efforts such as meta-analysis, for parameterizing models, and for verifying research results (i.e., study reproducibility). Large volumes of ecological data may be readily available through institutions or data repositories that are the most comprehensive available and can serve as the core of ecological analysis. Ecological data are also employed outside the research context and are used for decision-making, natural resource management, education, and other purposes. Data sharing has a long history in many domains such as oceanography and the biodiversity sciences (e.g., taxonomic data and museum specimens), but has emerged relatively recently in the ecological sciences. A review of several of the large international and national ecological research programs that have emerged since the mid-1900s highlights the initial failures and more recent successes as well as the underlying causes-from a near absence of effective policies to the emergence of community and data sharing policies coupled with the development and adoption of data and metadata standards and enabling tools. Sociocultural change and the move towards more open science have evolved more rapidly over the past two decades in response to new requirements set forth by governmental organizations, publishers and professional societies. As the scientific culture has changed so has the cyberinfrastructure landscape. The introduction of community-based data repositories, data and metadata standards, software tools, persistent identifiers, and federated search and discovery have all helped promulgate data sharing. Nevertheless, there are many challenges and opportunities especially as we move towards more open science. Cyberinfrastructure challenges include a paucity of easy-to-use metadata management systems, significant difficulties in assessing data quality and provenance, and an absence of analytical and visualization approaches that facilitate data integration and harmonization. Challenges and opportunities abound in the sociocultural arena where funders, researchers, and publishers all have a stake in clarifying policies, roles and responsibilities, as well as in incentivizing data sharing. A set of best practices and examples of software tools are presented that can enable research transparency, reproducibility and new knowledge by facilitating idea generation, research planning, data management and the dissemination of data and results.

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Section: The Role Of Scientists and Professional Societiesmentioning

confidence: 99%

Ecological data sharing

Michener

2015

Ecological Informatics

179

153

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“…Teaching research data management to graduate students is a trend within information literacy instruction (Carlson et al 2011;Qin and D'ignazio 2010;Whitmire 2015). A variety of pedagogies have been used, including one shot guest lectures (Westra and Walton 2015), online courses (Johnston and Jeffryes 2014b), traditional courses (Bracke and Fosmire 2015), workshops (Adamick, Reznik-Zellen, and Sheridan 2012), team-based active learning (Clement et al 2017), and blended learning (Zhang, Goodman, and Xie 2015).…”

Section: Introductionmentioning

confidence: 99%

Integrating Data Science Tools into a Graduate Level Data Management Course

Pascuzzi¹,

Nelson²

2018

JeSLIB

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“…However, it would be beneficial to examine these workshops further to understand their individual components and goals. In a study of University of Massachusetts Amherst Libraries, graduate students expressed the desire for more discipline-specific information during workshops (Adamick et al 2012). Libraries who want to offer data management services to the student body must to evaluate the needs of the students, and then attempt to provide services to meet those needs.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Data Management Services at New England Region Resource Libraries

Goldman¹,

Kafel²,

Martin³

2015

JESLIB

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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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Data Management Training for Graduate Students at a Large Research University

Cited by 23 publications

References 2 publications

Ecological data sharing

Ecological data sharing

Integrating Data Science Tools into a Graduate Level Data Management Course

Assessment of Data Management Services at New England Region Resource Libraries

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