Data Curation for Small Databases; Research Data Management Solutions for Dinky Databases ( Proposal for a book chapter )

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Material Information

Title:
Data Curation for Small Databases; Research Data Management Solutions for Dinky Databases ( Proposal for a book chapter )
Series Title:
The New Librarianship; Volume 4: Research Infrastructures (includes datasets, technology, epublishing, escience, web archiving, grants and grant writing)
Physical Description:
Book chapter proposal
Language:
English
Creator:
Taylor, Laurie N.
Sullivan, Mark V.
Minson, Val
Publisher:
George A. Smathers Libraries, University of Florida
Place of Publication:
Gainesville, FL
Publication Date:

Subjects

Subjects / Keywords:
Small data sets
Small databases
Data Curation
Data Management
SobekCM

Notes

Abstract:
Researcher needs, funding agencies, and governmental requirements have made Research Data Management a critical concern. Academic research libraries are uniquely positioned to collaborate with other core institutional groups to address research data management needs, building from existing roles with librarians as liaisons and collaborators with many different researchers and research fields. Much of the research to date has focused on information gathering (e.g., data curation profiles and surveys) and information sharing (e.g., new training institutes and programs on data, data management, data curation, e-science, etc.). Additional work is needed on data to support librarians in terms of new roles, responsibilities, skills, and activities in the data age. This chapter focuses on work by the University of Florida Smathers Libraries in collaboration with Research Computing and the Division of Sponsored Programs in building support for small or “dinky” databases as a supporting part of a larger socio-technical infrastructure for data management. This chapter includes an overview on the problem of dinky databases as small datasets requiring operational database functions for sorting and searching, normally supported by individual researchers and thus at risk for data loss and without the benefits of standardized support. Dinky databases are both a simple problem in terms of data size and normalization, and a complex problem with needed operational database functions where simply downloadable data is an insufficient solution for researchers to change current, problematic data practices. The chapter covers work to date and future plans by the UF Libraries for the dinky database problem, including gathering information on the many UF dinky databases, developing a database module for the SobekCM Open Source Digital Content Management System (which powers the institutional repository and digital collections at UF), and collaborating with Research Computing to develop additional computational supports by connecting the SobekCM interface frontend with advanced data hosting and computational backend supports by Research Computing. The chapter specifically addresses the work by librarians for the problem of dinky databases to show the work as a case study for how to build capacity for data management as a way to grow the overall culture of data management beginning with librarians as critical, expert collaborators.
General Note:
Proposal for a book chapter within book: "The New Librarianship" with call for proposals in November 2013. Accepted for book series for the New Librarianship; accepted for Volume 4: Research Infrastructures (includes datasets, technology, epublishing, escience, web archiving, grants and grant writing)
General Note:
Limited author list due to limited timeframe for proposal submission. If proposal is accepted, any/all members of the Data Management/Curation Task Force ( DMCTF ) may elect to participate on this chapter.

Record Information

Source Institution:
University of Florida
Holding Location:
University of Florida
Rights Management:
Applicable rights reserved.
System ID:
AA00019314:00001


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Proposed Chapter for The New Librarianship Title: Data Curation for Small Databases; Research Data Management Solutions for Dinky Databases Authors: Laurie N. Taylor, Laurien@ufl.edu Mark V. Sullivan, marsull@uflib.ufl.edu Abstract: Research er needs funding agencies, and governmental requirements have made Research Data Management a critical concern. Academic research libraries are uniq uely positioned to collaborate with other core institutional groups to address research data management need s, build ing from existing roles with librarians as liaisons and collaborators with many different researchers and research fields Much of the res earch to date has focused on information gathering (e.g., dat a curation profiles and surveys) and information sharing (e.g., new training i nstitutes and programs on data, data management, data curation, e science, etc.). Additional work is needed on data t o support librarians in terms of new roles, responsibilities, skills, and activities in the data age. This chapter focuses on work by the University of Florida Smathers Libraries in collaboration with Research Computing and the Division of Sp onsored Programs in building support for small abases as a supporting part of a larger socio technical infrastructure for data management. This chapter includes an overview on the problem of d inky databases as small datasets requiring operational d atabase functions for sorting and searching, normally supported by individual researchers and thus at risk for data loss and without the benefits of standardized support. Dinky databases are both a simple pro blem in terms of data size and normalization, and a complex problem with need ed operational database functions where simply downloadable data is an insufficient solution for researchers to change current problematic data practices The chapter covers work to date and fut ure plans by the UF Libraries for the dinky database problem including gathering information on the many UF dinky databases developing a database module for the SobekCM Open Source D igital C ontent M anagement S ystem ( which powers the institutional repository and digital collections at UF ) and collaborating with Research Computing to develop additional computational supports by connect ing the SobekCM interface frontend with advanced data hosting and computational backend supports by Research Computi ng. The chapter specifically addresses the work by librarians for the problem of dinky databases to show the work as a case study for how to build capacity for data management as a way to grow the overall culture of data management beginning with libraria ns as critical, expert collaborators.