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116 results for “Project Management”
Supplementary Material to SBIE 2024:Achieving Project Management Educational Web-Tool Evolution Using Service-based Software
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Community Maturation Matrix (Illustration): Professionalising Community Management Roles in Interdisciplinary Research Projects
<p>Figure 1 (.jpg) file, editable version (.pptx) and supplementary 1 (.xlsx) for the research article: Professionalising Community Management Roles in Interdisciplinary Research Projects (July, 2024)</p> <p>Figure 1: Community Maturation Indicator: This is a framework through which maturation status for a community can be indicated at any given time as “Level of Community Participation” and “Stage of Community Building”. The Levels of Community Participation is shown in the x-axis (spanning 6 levels): Level 1: Inform Community, Level 2: Invite Feedback, Level 3: Engage and Involve, Level 4: Mobilise and Connect, Level 5: Empower Groups, and Level 6: Decentralise Power. The Stages of Community Building are shown as y-axis (spanning 6 stages): Stage 1: Initiation, Stage 2: Planning and Design, Stage 3: Implementation, Stage 4: Growth and Scaling, Stage 5: Monitoring and Evaluation, and Stage 6: Sustainability or Sunsetting. </p> <p>Supplementary 1: An example of how a community may progress its maturation levels. After the level has been identified, a CoP can start applying targeted approaches to community building, which occurs in stages. For example, at the community initiation stage of a new CoP, an RCM shares information and communicates project goals (Stage 1); at the planning and design stage, they build stakeholder awareness plans and help to prioritise specific objectives (Stage 2); at the implementation stage, they provide collaborative opportunities for specific stakeholders (Stage 3); at the growth stage, they facilitate knowledge exchange and skill building (Stage 4); and at the evaluation stage, it assesses the success of the CoP through feedback data to inform plans (Stage 5). These stages collectively affect how the project and its community can be sustained in the future or whether it should be paused (sunsetting) (Stage 6). RCMs build effective community strategies and implement creative approaches to support the development of a CoP, advancing a community from one stage to the next (Supplementary 1, Column 1 of the Community Maturation Indicators).</p> <p> </p>
Species functional data and species distribution model projections for future land-use and fire management scenarios in the Transboundary Biosphere Reserve Gerês-Xurés
<p>The data includes nine functional traits and species distribution model projections for 102 species of vertebrates (amphibians, birds, and reptiles) in the Transboundary Biosphere Reserve Gerês-Xurés. The model projections are available for 2050 under six different land-use and fire management scenarios, namely two land-use scenarios of “business-as-usual” (BAU; ongoing trends of land abandonment) and “High Nature Value farmlands” (HNV), each under three fire management scenarios (low suppression - LS, current fire suppression - CS, and high fire suppression - HS). The species distribution projections for each scenario are presented as matrices of species presences/absences, obtained after reclassifying consensus predictions of species distribution models.</p>
Comparing and Combining Existing and Emerging Data Collection and Modeling Strategies in Support of Signal Control Optimization and Management (Project M2)
<p>For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field observations in their updates of time-of-day signal timing plans. These traditional signal optimization methods and tools use very limited amount of data and depend on default values in the signal timing optimization/simulation tools to estimate network performance under different signal optimization strategies. In recent years, new data collection technologies are emerging including high resolution controller data, more advanced detection technologies such as video image detection that are based on vehicle tracking and possible integration with microwave detectors, automatic-vehicle based identification technologies, third party crowdsourcing data, connected vehicles, and connected automated vehicles data. The objective of the proposed study is to propose methods and algorithms to combine data collected from existing and emerging sources with enhanced models and optimization algorithms to optimize and manage signal operations. The results from applying the developed methods and algorithms will be compared with traditional signal timing and optimization methods currently used by transportation agencies. </p>
Data for: Using a demographic model to project the long-term effects of fire management on tree biomass in Australian savannas
<p>Tropical savannas are characterised by high primary productivity and high fire frequency, such that much of the carbon captured by vegetation is rapidly returned to the atmosphere. Hence, there have been suggestions that management-driven reductions in savanna fire frequency and/or severity could significantly reduce greenhouse gas emissions and sequester carbon in tree biomass. However, a key knowledge gap is the extent to which savanna tree biomass will respond to modest shifts in fire regimes due to plausible, large-scale management interventions. Here, we: (1) characterise relationships between the frequency and severity of fires and key demographic rates of savanna trees, based on long-term observations in vegetation monitoring plots across northern Australia; (2) use these relationships to develop a process-explicit demographic model describing the effects of fire on savanna tree populations; and (3) use the demographic model to address the question: to what extent is it feasible, through the strategic application of prescribed burning, to increase tree biomass in Australian tropical savannas? Our long-term tree monitoring dataset included observations of 12,344 tagged trees in 236 plots, monitored for between 3 and 24 years. Analysis of this dataset showed that frequent high-severity fires significantly reduced savanna tree recruitment, survival and growth. Our demographic model suggested that: (1) despite the negative effects of frequent high-severity fires on demographic rates, savanna tree biomass appears to be suppressed by only a relatively small amount by contemporary fire regimes, characterised by a mix of low- to high-severity fires; and (2) plausible, management-driven reductions in the frequency of high-severity fires are likely to lead to increases in tree biomass of about 11.0 t DM ha<sup>–1</sup> (95% confidence interval: -1.2–20.8) over a century. Accounting for this increase in carbon storage could generate significant carbon credits, worth on average three times those generated annually by current greenhouse gas (methane and nitrous oxide) abatement projects, and has the potential to significantly increase the economic viability of fire/carbon projects, thereby promoting ecologically sustainable management of tropical savannas in Australia and elsewhere. This growing industry has the potential to bring much-needed economic activity to savanna landscapes, without compromising important natural and cultural values.</p>
Data management table for PhD project:Reconquering the city: Pastoral agency and spatial impact of workers' parishes in Belgium (1884-1914)
<p>In this data management table I organized additional information on all the sorts of data I am or will be using in the course of my research project. The content of the table sheds a light on why, how and for who I work on these different kinds of data.</p>
Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange
<p>Investigating the Point of View of Project Management Practitioners on Technical Debt - A Study on Stack Exchange.</p> <p>Journal of Software Engineering Research and Development (JSERD) 2023.</p> <p> </p>
Management of Non-pharmacologic Delirium With the Use of a Nursing-led E-health Project: a Randonmized Controlled Trial
ClinicalTrials.gov study NCT06809894. IPD Sharing: YES. Countries: 1. Publications: 6.
The Peace of Mind and Body Project: Treatment Development of Yoga for Anger Management in Incarcerated Adults
ClinicalTrials.gov study NCT05336123. IPD Sharing: NO. Countries: 1. Publications: 1.
Aligning With Schools To Help Manage Asthma (Project ASTHMA)
ClinicalTrials.gov study NCT03032744. IPD Sharing: NO. Countries: 1. Publications: 1.
Violence and Stress Assessment (ViStA) Project to Improve Post Traumatic Stress Disorder Management in Primary Care
ClinicalTrials.gov study NCT01401101. IPD Sharing: NO. Countries: 1. Publications: 2.
Coordinating Opioid Use Treatment Through Medical Management With Infection Treatment (Project COMMIT)
ClinicalTrials.gov study NCT04180020. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The S.M.A.R.T. Project: Stress Management and Resilience Training for Teens
ClinicalTrials.gov study NCT03270943. IPD Sharing: NO. Countries: 1. Publications: 3.
Data for: Using a demographic model to project the long-term effects of fire management on tree biomass in Australian savannas
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Proposed managed aquifer recharge projects in California groundwater sustainability plans
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Towards a Quantitative Model to Deal with Uncertainty Management in Software Projects
<p>The evolution of thinking in project management has raised interest in areas not yet explored by researchers and practitioners of project management, including the management of uncertainties associated with risk management. The correct risk and uncertainty management in software projects can represent a competitive differential for the software development industry. Despite the increasing use of uncertainty management strategies, many projects still fail. Some recent studies show that the current techniques used to manage uncertainties organize the project's known information, but give little or no indication of the unknown information or uncertainties associated with the project. These techniques do not take into account the impact of existing dependency and interdependence relationships between the various sources of uncertainties in the project. This work will apply Action Research to develop a model with a focus on uncertainty quantification techniques. This work aims to present a model with a focus on uncertainty quantification techniques that take into account the relationships of dependencies and interdependence that exist between the sources of risks and uncertainties in software projects and as a result, contribute with the advance of state of the art in the practice of risk and uncertainty management in project software.</p>
USAID PEER Project 6-134 Madagascar: Community-based monitoring and management of Madagascar's National Park protected areas
<p>Data pertinent to USAID PEER Project 6-134 Madagascar.</p><p>Please see the following page for project info and updates:</p><p>https://sites.nationalacademies.org/PGA/PEER/PEERscience/PGA_181428</p>
Optimal forest management schemes and the corresponding forest biomass carbon sink projections in China
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[GAS 2022] Software Project Management Anti-Patterns for Video Game Development
<p>This dataset contains an analysis of 440 project management problems described in game postmortems from gamedeveloper.com (formerly Gamasutra). We grouped these problems into candidate anti-patterns, an then we link these candidates with anti-patterns documented in the Software Engineering literature. Specifically, we aim to answer the following research question how video game anti-pattern fits into the software anti-patterns literature? </p>
Clinical Trial Project Management System (CTPMS)
<p>The main features of CTPMS include project approval management, to-do task list, project list, document management, contract management, initial meeting management, investigator management, and CRC management. Through the organic combination of these features, the CTI realizes the project approval review and daily management of study projects.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.