Dataset Information

Assessing the performance of environmental management in academic research laboratories☆

ABSTRACT: Managing environmental risk is essential to ensure organisations minimise their impact on the environment, comply with environmental legislation and maintain their reputation in an increasingly environmentally aware society. Organisations frequently use management systems to plan and execute routine environmental assessments, however environmental impacts may still arise from routine activities or accidents that could be avoided by effective environmental management. Currently there is no method for an organisation to assess the level of awareness their employees have of activities that may lead to an environmental impact, or the level of uptake of environmental management processes. Therefore, the Environmental Management Performance Assessment (EMPA) process was developed to enable organisations to self-assess existing environmental management processes by survey of their employees. The EMPA process was aligned to key phases of the Deming Cycle and involves development and distribution of a survey to organisation employees. The responses are then used to recognise areas for improvement by progression through a bespoke flow chart integrated with the initial survey. This enables demonstration of how particular hazards arise from insufficient awareness at different stages in the Deming Cycle and how these hazards can have wider, reputational, economic, and legislative consequences. The process was trialled by surveying academic researchers on the environmental management processes in their laboratories as a sample set. Graphical abstract Image 1 Environmental performance, Plan-do-check-act, Deming cycle, Environmental hazard, Environmental questionnaire.

SUBMITTER: Ladyman M

PROVIDER: S-EPMC9280376 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Plant research is supported by an ever-growing collection of mutant or transgenic lines. In the past, a typical basic research laboratory would focus on only a few plant lines that were carefully isolated from collections of lines containing random mutations. The subsequent technological breakthrough in high-throughput sequencing, combined with novel and highly efficient mutagenesis techniques (including site-directed mutagenesis), has led to a recent exponential growth in plant line collections used by individual researchers. Tracking the generation and genetic properties of these genetic resources is thus becoming increasingly challenging for researchers. Another difficulty for researchers is controlling the use of seeds protected by a Material Transfer Agreement, as often only the original recipient of the seeds is aware of the existence of such documents. This situation can thus lead to difficult legal situations. Simultaneously, various institutions and the general public now demand more information about the use of genetically modified organisms (GMOs). In response, researchers are seeking new database solutions to address the triple challenge of research competition, legal constraints, and institutional/public demands. To help plant biology laboratories organize, describe, store, trace, and distribute their seeds, we have developed the new program SeedUSoon, with simplicity in mind. This software contains data management functions that allow the separate tracking of distinct mutations, even in successive crossings or mutagenesis. SeedUSoon reflects the biotechnological diversity of mutations and transgenes contained in any specific line, and the history of their inheritance. It can facilitate GMO certification procedures by distinguishing mutations on the basis of the presence/absence of a transgene, and by recording the technology used for their generation. Its interface can be customized to match the context and rules of any laboratory. In addition, SeedUSoon includes functions to help the laboratory protect intellectual property, export data, and facilitate seed exchange between laboratories. The SeedUSoon program, which is customizable to match individual practices and preferences, provides a powerful toolkit to plant laboratories searching for innovative approaches in laboratory management.

Project description:Our objective was to implement a directorate research strategy to improve and grow clinical academic capacity and capability and ensure that the organisational systems and processes enabled clinical staff and managers to increase grant capture, undertake clinically relevant research, including the adoption of NIHR portfolio sites and established a culture in which research was an accepted part of professional practice. An initial evaluation of senior and middle manager attitudes and understanding of the research infrastructure and benefits of research identified that the directorate had a deeply segmented view of research and only a partial view of how research could benefit patients and improve their services. A significant number of staff claimed to be research active but this activity was not contributing to the service knowledge or being translated into grant capture, leading to income that could be used to invest in patient facing research. Few managers had appreciated the challenge of implementing the research strategy or the potential of enabling research active staff to generate clinical academic careers. A quality improvement methodology was adopted, based on four equally important elements [1]; involving people (staff and patients) in research, developing people's research knowledge and skills, promoting an understanding of the complex systems and processes associated with research, and using an organisational research strategy with leadership to drive change. This improvement method suggests an equal and proportional range of activity to engage staff, amend and adapt processes and systems, carry out organisational change and "make it a habit". The improvement measures were selected by a number of managers who acted as "research champions" and shared these with all staff across the directorate; the focus was on delivering sustained improvements in performance targets agreed with the organisation. The interventions were introduced to assist managers in each professional group to champion research and undertake the organisational change that would be needed. The two cycles of improvement over 14 months were used to achieve "academic status" within the organisation, to include clinical staff in the delivery of the research strategy and to create a clinical academic infrastructure that incorporated a well organised public and patient involvement (PPI) panel. Additional measures included the level of participation of clinical academic staff in grant capture and the level of income from research to sustain the growth in activity.

Dataset Information

Assessing the performance of environmental management in academic research laboratories☆

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets