Research

Diatom – Dr. A.K.S.K. Prasad, FSU

MyBibliography | orcid.org/0000-0003-1814-0151 | Scholarly Works (Zenodo) | SciENcv

The title of my dissertation is “Exploring the Data Management and Curation (DMC) Practices of Scientists at Research Labs within a Research University”. The research methodology includes an adapted Data Asset Framework (DAF) methodology via a mixed-methods research approach of DAF surveys and DAF semi-structured interviews. My primary area of research is data management and curation, which explores the multiple disciplines interactions between stakeholders, research data management, and technology within and across disciplines. Read more about Data Management and Curation (DMC).

Research Agenda

1. – Explore creative, transformative, and investigative approaches to further digital curation research, contribute to the LIS profession and body of knowledge via scholarly works.

Professional Expertise

– Digital libraries, digital assets management, institutional repositories, scholarly publishing, archives and preservation (data curation and digital curation).

Even though the majority of my earlier professional work was focused on digital libraries and digital content management within the academic research libraries and the library and the information science discipline, my current research on the management of research data practices across multiple disciplines is relevant to funding agencies, organizations, institutions, and disciplines beyond academic research libraries, digital libraries, and the library and information science (LIS) domains.

Good data management planning clearly articulates the processes involved in the creation, description, representation, aggregation, dissemination, and preservation of research data. Data management plans are progressively becoming required rather than optional project tasks in 21st century scientific research. The National Science Foundation (NSF) now requires a data management plan for funded research. Even if a funding agency does not require a data management plan for research, developing and implementing quality data management practices promote the current and future uses of research data.

Using the Data Management and Curation (DMC) Framework as the frame of reference and the Adapted Conceptual Framework Model as the theory building approach paradigm, my research is divided into the two following topical themes. Please follow the link under each theme for more information and samples of developing scholarly works.

Adapted Conceptual Framework Model (Burrell & Morgan, 1979; Morgan & Smircich, 1980; Morgan, 1983; Solem, 1993, p. 595; Smith II, 2014)

1. Exploring the data management and curation practices of scientists in research labs within a research university
Research organizations, including academic libraries, research labs, and higher education institutions, can learn new models of data management and curation practices through interdisciplinary collaborations in the research, publication, and curation of research data. This research focuses on investigating how different disciplinary domains create, manage, and preserve data within and across disciplines. Read more about Exploring the data management and curation practices of scientists…

2. Expanding the reach and richness of faculty research
Research organizations, including academic libraries, research labs, and higher education institutions all create, manage, and store data. The challenge of managing, providing access, and preserving research data for current and future uses are common across organizations and disciplines. The goal of this research is to educate professionals responsible for the management of data to assess, develop, and improve research data management efforts between academic libraries, research labs, multiple disciplines, and higher education institutions in an age of perpetual data accumulation and progressive data management plan requirements proliferation. Read more about Expanding the reach and richness of faculty research…

References:

1. Burrell, G. & Morgan, G. (1979). Sociological Paradigms and Organizational Analysis. London: Heineman.
2. Gioia, D. & Pitre, E. (1990). Multiparadigm Perspectives on Theory Building. Academy of Management Review, 15(4): 584-602.
3. Lewis, M., & Grimes, A. (1999). Metatriangulation: Building Theory from Multiple Paradigms. Academy of Management Review, 24(4): 672-690.
4. Morgan, G. (1983). Beyond Method: Strategies for Social Research. Sage Publications.
5. Morgan, G. & Smircich, L. (1980). The Case for Qualitative Research. Academy of Management Review, 5(4), pp. 491-500.
6. Smith II, P. L. (Summer 2014). Exploring the Data Management and Curation (DMC) Practices of Scientists in Research Labs within a Research University. Note: ProQuest/UMI Preview [Dissertation]
7. Solem, O. (1993). Integrating scientific disciplines: An Evergreen Challenge to Systems Science. In F. Stowell, D. West, & J. Howell (Eds.), Systems Science: Addressing Global Issues (pp. 593-598). New York: Plenum Press.