Topic
RDM
About: RDM is a research topic. Over the lifetime, 648 publications have been published within this topic receiving 7703 citations.
Papers published on a yearly basis
Papers
TL;DR: MORDM is introduced and results suggest that including robustness as a decision criterion can dramatically change the formulation of complex environmental management problems as well as the negotiated selection of candidate alternatives to implement.
Abstract: This paper introduces many objective robust decision making (MORDM). MORDM combines concepts and methods from many objective evolutionary optimization and robust decision making (RDM), along with extensive use of interactive visual analytics, to facilitate the management of complex environmental systems. Many objective evolutionary search is used to generate alternatives for complex planning problems, enabling the discovery of the key tradeoffs among planning objectives. RDM then determines the robustness of planning alternatives to deeply uncertain future conditions and facilitates decision makers' selection of promising candidate solutions. MORDM tests each solution under the ensemble of future extreme states of the world (SOW). Interactive visual analytics are used to explore whether solutions of interest are robust to a wide range of plausible future conditions (i.e., assessment of their Pareto satisficing behavior in alternative SOW). Scenario discovery methods that use statistical data mining algorithms are then used to identify what assumptions and system conditions strongly influence the cost-effectiveness, efficiency, and reliability of the robust alternatives. The framework is demonstrated using a case study that examines a single city's water supply in the Lower Rio Grande Valley (LRGV) in Texas, USA. Results suggest that including robustness as a decision criterion can dramatically change the formulation of complex environmental management problems as well as the negotiated selection of candidate alternatives to implement. MORDM also allows decision makers to characterize the most important vulnerabilities for their systems, which should be the focus of ex post monitoring and identification of triggers for adaptive management.
482 citations
TL;DR: In this paper, a quantitative decision- analytic approach for supporting decisions under conditions of deep uncertainty is presented, using simulation models to assess the performance of agency plans over thousands of plausible futures, use statistical "scenario discovery" algorithms to concisely summarize those futures where the plans fail to perform adequately, and use these resulting scenarios to help decisionmakers understand the vulnerabilities of their plans and assess the options for ameliorating these vulnerabilities.
407 citations
TL;DR: The research shows that libraries were offering limited research data management services, with highest levels of activity in large research-intensive institutions, and see this as an important part of their future role.
Abstract: This paper reports research carried out at the end of 2012 to survey UK universities to understand in detail the ways in which libraries are currently involved in research data management (RDM) and the extent to which the development of RDM services is a strategic priority for them. The research shows that libraries were offering limited RDM services, with highest levels of activity in large research-intensive institutions. There were major challenges associated with skills gaps, resourcing and cultural change. However, libraries are currently involved in developing new institutional RDM policies and services, and see this as an important part of their future role. Priorities such as provision of RDM advisory and training services are emerging. A systematic comparison between these results and other recent studies is made in order to create a full picture of activities and trends. An innovation hype-cycle framework is deployed to understand possible futures and Abbott’s theory of professions is used to gain an insight into how libraries are competing to extend their jurisdiction whilst at the same time working collaboratively with other stakeholders.
292 citations
TL;DR: In this article, the authors examined the relationship between top management demographics, rational decision making (RDM), munificence, and firm performance, and provided support for the assertion that top management demographic characteristics influence decision making.
Abstract: This study examines the relationships between top management demographics, rational decision making (RDM), munificence, and firm performance. We expect top management demographics to influence rational decision making, and rational decision making to influence firm performance. In addition, we hypothesize a moderating effect of environmental munificence on the rational decision making-firm performance relationship. To test these hypotheses, we conducted a survey that measured RDM. Top management demographic characteristics, environmental munificence, and firm performance were collected from archival sources. We examined the relationships between RDM and top management age, tenure, and education level, using regression analyses. The results of this study provide support for the assertion that top management demographic characteristics influence decision making, and for the role of environmental munificence as a moderator in the relationship between decision making and organizational performance.
234 citations
TL;DR: The range of RDM activities explored in this study are positioned on a "landscape maturity model,” which reflects current and planned research data services and practice in academic libraries, representing a “snapshot” of current developments and a baseline for future research.
Abstract: This article reports an international study of research data management (RDM) activities, services, and capabilities in higher education libraries It presents the results of a survey covering higher education libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand, and the UK The results indicate that libraries have provided leadership in RDM, particularly in advocacy and policy development Service development is still limited, focused especially on advisory and consultancy services (such as data management planning support and data-related training), rather than technical services (such as provision of a data catalog, and curation of active data) Data curation skills development is underway in libraries, but skills and capabilities are not consistently in place and remain a concern Other major challenges include resourcing, working with other support services, and achieving “buy in” from researchers and senior managers Results are compared with previous studies in order to assess trends and relative maturity levels The range of RDM activities explored in this study are positioned on a “landscape maturity model,” which reflects current and planned research data services and practice in academic libraries, representing a “snapshot” of current developments and a baseline for future research
220 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2026 | 2 |
| 2025 | 219 |
| 2024 | 138 |
| 2023 | 173 |
| 2022 | 146 |
| 2021 | 80 |