Data Management Inside the Library: Assessing Electronic Resources Data Using the Data Asset Framework Methodology

Ogier, Andi; Hall, Monena; Bailey, Annette; Stovall, Connie

doi:10.1080/1941126x.2014.910406

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the reason for the jump is unclear, this shows that libraries need to allocate repository space and staff time in order to accommodate growth. If academic libraries are hesitant to pilot data repositories with researcher or student data, they could use the library's own data, such as electronic resource data (Ogier, Hall, Bailey, & Stovall, 2014). As an added benefit, a data audit can be performed at the same time as the pilot (Ogier et al, 2014).…”

Section: Implementing Research Data Services Strategicallymentioning

confidence: 99%

Implementing Research Data Management Services in a Canadian Context

Grynoch

2016

DJIM

View full text Add to dashboard Cite

Research data management (RDM) has become an increasingly pressing issue for academic libraries as they strive to assist researchers in addressing new public funding requirements surrounding data dissemination and preservation. Briney, Goben, & Zilinski (2015) reviewed several characteristics of RDM service provision efforts by 206 American research universities. Following a similar methodology, the author reviewed RDM service development within Canadian research universities and compared the results to the American efforts. The main area requiring development in Canada is the provision of RDM services. Therefore, some current best practices for implementing RDM services were gathered through a literature review. The successful approaches highlighted in the literature include awareness of funder and institutional data policies, reaching out to data service providers on campus and beyond, understanding researcher data management needs and finding RDM champions, implementing research data services strategically, planning for growth in RDM services, marketing the RDM services, and creating incentives to create data management plans and utilize RDM services. Third Place DJIM Best Article Award.

show abstract

Section: Implementing Research Data Services Strategicallymentioning

confidence: 99%

Implementing Research Data Management Services in a Canadian Context

Grynoch

2016

DJIM

View full text Add to dashboard Cite

show abstract

“…Academic libraries and librarians have been identified as curatorial liaisons on campus in the data curation movement due to their long‐standing history, credentials and commitments (Fox, ; Heidorn, ; Lyon, ; Schubert, Shorish, Frankel, & Giles, ). As a result, several metadata standards for data management and curation have been developed to manage massive large‐scale data sets (Ogier, Hall, Bailey, & Stovall, ; Weber, Palmer, & Chao, ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Lyon () proposed a research data management (RDM) model in the UK environment. Ogier, Hall, Bailey and Stovall () applied the Data Asset Framework (DAF) methodology to audit and evaluate the electronic resources data at the Virginia Tech Libraries. Currently many data curation standards are still under development.…”

Section: Literature Reviewmentioning

confidence: 99%

Data management and curation practices: The case of using DSpace and implications

Zhang

Chen

2015

Proc. Assoc. Info. Sci. Tech.

View full text Add to dashboard Cite

Data management and curation is a new challenge with the emerging trend of data-dependent scholarly research. Due to the lack of common standards and best practices, current data management and curation practices have been varied. This poster presents a project that examines the common practices of data management and curation that helps understand the scope of and factors behind such variations. The sample of this study consists of 171 unique data repositories created by 164 institutions from 95 countries worldwide. The preliminary results indicate that data management and curation is a global issue. Currently, academic institutions and government agencies are the leading force in contributing and sharing data. Data repositories are used for various purposes with international repository and learning resources being the most common use cases. Additionally, system functions used to manage data repositories vary to a great extent with statistics and OAI harvesting being the most common ones.

show abstract

Tips from the Trenches

Garofalo¹

2020

Journal of Electronic Resources Librarianship

View full text Add to dashboard Cite

Data Management Inside the Library: Assessing Electronic Resources Data Using the Data Asset Framework Methodology

Cited by 3 publications

References 7 publications

Implementing Research Data Management Services in a Canadian Context

Implementing Research Data Management Services in a Canadian Context

Data management and curation practices: The case of using DSpace and implications

Tips from the Trenches

Contact Info

Product

Resources

About