The prioritization of Research, Development & Innovation Projects is an essential step in the innovation management process. As a rule, it is carried out applying methods that allow one to process experts' preferences concerning each project according to criteria. However, there are different preference formats: Ordering of Alternatives, Utility Values, Multiplicative Preference Relations, Fuzzy Estimates, Fuzzy Preference Relations, to name a few; and each prioritization method processes only one of these formats. Thus, the following question arises: how do we prioritize projects taken from portfolios evaluated in different formats? This methodology presents a way to overcome this gap by achieving three main objectives: develop techniques that make it possible a crossover between preference formats and prioritization methods, merge two portfolios of projects built from different prioritization methods and prioritize projects evaluated from different formats. The results of this research are universal and can be applied to replace any method of prioritization. In the specific case, the attached databases bring the data and calculations that allow: 1.) changing valuations in value-for-profit format to the multiplicative relation format; 2.) replace the Mapping method with the Analytic Hierarchy Process method; 3.) include criteria of a quantitative nature; and 4.) replace the Analytic Hierarchy Process with the TODIM method. The attached file contains the following data: evaluations of four projects in a utility-value format and evaluations of three projects in a multiplicative relation format. It also contains the calculations to obtain the value of matrix consistency, fully consistent matrices and the ranking of projects. It also contains the necessary calculations to prioritize projects using the TODIM method.

The following data and resources were used for the SGMA Basin Prioritization of California’s 515 groundwater basins and subbasins. The Department of Water Resources is mandated by California Water Code Section 10933(b) to prioritize each basin based on eight components.

For more information about how the data was analyzed for Basin Prioritization please see Sustainable Groundwater Management Act Basin Prioritization - Process and Results Document.

Additional questions or requests for information related any of the Basin Prioritization datasets should be directed to the Sustainable Groundwater Management Office at sgmps@water.ca.gov.

For more information on SGMA Basin Prioritization please visit the SGMA Basin Prioritization Homepage.

Addressing survival and movement of priority migratory avian species of concern along the Pacific Flyway is paramount for their conservation. Yet, the migratory life stage is understudied in many avian species. The Motus radiotelemetry receiver network is an established system for tracking survival and movement of avian species. This network is an international collaborative that successfully identifies stopover site duration, connected migratory routes, post-fledging dispersal and survival, and adult survival and fidelity on a landscape-scale; parameters that cannot be easily estimated using non-tagged birds. While the Motus network is highly connected in eastern North America, the western part of the continent is lagging in coverage and connectivity, limiting the ability to obtain sample sizes large enough to robustly model demographic parameters from tagged birds. Thus, the expansion of the Motus network is a high priority for Pacific Flyway State Agencies. To date, no method exists for determining priority locations for new Motus receiving stations. With collaborations from States and the Canadian Province of British Columbia, we used eBird citizen scientist data to prioritize strategic locations for new Motus receiving stations throughout the Pacific Flyway. We model priority species’ co-occupancy of varying abundance states (i.e., absent, present, abundant, abundant in multiple weeks) with spatially varying Landsat (red and near infrared), water, land cover types, and weather covariates while accounting for variable detection with temporally varying survey effort covariates. Using occupancy model predictions, we identify high-use areas of the Pacific Flyway for establishing new Motus receiving towers that have high probabilities of intercepting high presence and /or abundance of multiple species of interest in a series of predictive occupancy maps. This package contains all the necessary files to recreate the data analysis, print out maps based on predictions from the model, and conduct new analyses for the state of Arizona.

This statistic shows the top AI related data priorities in U.S.-based organizations in 2019. Integrating AI and analytics systems was the top AI related data priority for 2019, with 58 percent of respondents indicating that it was a top priority of their company.

Dataset and results for the study on issue prioritization

-feature: the extracted features for the selected 274 projects

-training_data: the training data for 60 projects used to evaluate the prioritization methods

--dataset1: data with multicollinearity features removed

--dataset2: data with both multicollinearity features and features with weak or insignificant correlation with issue priority removed

-ndcg: the complete results of NDCG@k (k ranging from 1 to 20)

--result_1: results based on data with multicollinearity features removed

--result_2: results based on data with both multicollinearity features and features with weak or insignificant correlation with issue priority removed

--result_cross_project: results of cross projects

In 2015, a workshop was held for Kern National Wildlife Refuge to 1) review the refuge conservation situation (goals, objectives, conservation priorities), 2) review invasive plant management history (target species and areas, management approaches and techniques), 3) evaluate invasive plant inventory and early detection priorities (species and areas), and 4) identify next steps to improve the efficiency and effectiveness of invasive plant management. This record holds the data documenting this effort.

This statistic shows the leading big data priorities according to business and IT executives worldwide as of June 2013. In 2013, the major priority with regards to big data for global experts was enhanced customer experience.

Addressing survival and movement of priority migratory avian species of concern along the Pacific Flyway is paramount for their conservation. Yet, the migratory life stage is understudied in many avian species. The Motus radiotelemetry receiver network is an established system for tracking survival and movement of avian species. This network is an international collaborative that successfully identifies stopover site duration, connected migratory routes, post-fledging dispersal and survival, and adult survival and fidelity on a landscape-scale; parameters that cannot be easily estimated using non-tagged birds. While the Motus network is highly connected in eastern North America, the western part of the continent is lagging in coverage and connectivity, limiting the ability to obtain sample sizes large enough to robustly model demographic parameters from tagged birds. Thus, the expansion of the Motus network is a high priority for Pacific Flyway State Agencies. To date, no method exists for determining priority locations for new Motus receiving stations. With collaborations from States and the Canadian Province of British Columbia, we used eBird citizen scientist data to prioritize strategic locations for new Motus receiving stations throughout the Pacific Flyway. We model priority species’ co-occupancy of varying abundance states (i.e., absent, present, abundant, abundant in multiple weeks) with spatially varying Landsat (red and near infrared), water, land cover types, and weather covariates while accounting for variable detection with temporally varying survey effort covariates. Using occupancy model predictions, we identify high-use areas of the Pacific Flyway for establishing new Motus receiving towers that have high probabilities of intercepting high presence and /or abundance of multiple species of interest in a series of predictive occupancy maps. This package contains all the necessary files to recreate the data analysis, print out maps based on predictions from the model, and conduct new analyses for the states of Nevada and Utah.

Managers are increasingly looking to apply concepts of resilience to better anticipate and understand conservation and restoration in a changing environment.

In this study, we explore how information on demography (recruitment, growth and survival) and competitive effects in different environments and with different starting species abundances can be used to better understand resilience. We use observational and experimental data to better understand dynamics between native Stipa pulchra and exotic Avena barbata and fatua, grasses characteristic of native and invaded grasslands in California, at three different levels of nitrogen (N) representative of a range of pollution via atmospheric deposition. A modelling framework that incorporates this information on demography and competition allows us to forecast dynamics over time.

Our results showed that resilience of native grasslands depends on N inputs, where natural recovery should be possible at low N levels whereas native persistence...

Context: Model-based test case generation (MB-TCG) and prioritization (MB-TCP) utilize models that represent the system under test (SUT) for test generation and prioritization in software testing. They are based on model-based testing (MBT), a technique that facilitates automation in testing. Automated testing is indispensable for testing complex and industrial size systems because of its advantages over manual testing. In recent years, MB-TCG and MB-TCP publications have shown an encouraging growth. However, the empirical studies done to validate these approaches must not be taken lightly because they reflect the validity of the results, and whether these approaches are generalizable to the industrial context. Objective: This systematic review aims at identifying and reviewing the state-of-the-art for MB-TCG, MB-TCP, and the approaches that combined MB-TCG and MB-TCP. Method: The needs for this review were used to design the research questions. Keywords extracted from the research questions were utilized to search for studies in the literature that will answer the research questions. Prospective studies also underwent a quality assessment to ensure that only studies with sufficient quality were selected. All the research data of this review were also available in a public repository for full transparency. Result: 80 primary studies were finalized and selected. There were 64, 11 and five studies proposed for MB-TCG, MB-TCP, and MB-TCG and MB-TCP combination approaches, respectively. Conclusion: One of the main findings is that the most common limitations in the existing approaches are dependency on specifications, need for manual interventions, and scalability issue.

Addressing survival and movement of priority migratory avian species of concern along the Pacific Flyway is paramount for their conservation. Yet, the migratory life stage is understudied in many avian species. The Motus radiotelemetry receiver network is an established system for tracking survival and movement of avian species. This network is an international collaborative that successfully identifies stopover site duration, connected migratory routes, post-fledging dispersal and survival, and adult survival and fidelity on a landscape-scale; parameters that cannot be easily estimated using non-tagged birds. While the Motus network is highly connected in eastern North America, the western part of the continent is lagging in coverage and connectivity, limiting the ability to obtain sample sizes large enough to robustly model demographic parameters from tagged birds. Thus, the expansion of the Motus network is a high priority for Pacific Flyway State Agencies. To date, no method exists for determining priority locations for new Motus receiving stations. With collaborations from States and the Canadian Province of British Columbia, we used eBird citizen scientist data to prioritize strategic locations for new Motus receiving stations throughout the Pacific Flyway. We model priority species’ co-occupancy of varying abundance states (i.e., absent, present, abundant, abundant in multiple weeks) with spatially varying Landsat (red and near infrared), water, land cover types, and weather covariates while accounting for variable detection with temporally varying survey effort covariates. Using occupancy model predictions, we identify high-use areas of the Pacific Flyway for establishing new Motus receiving towers that have high probabilities of intercepting high presence and /or abundance of multiple species of interest in a series of predictive occupancy maps. This package contains all the necessary files to recreate the data analysis, print out maps based on predictions from the model, and conduct new analyses for the state of Colorado.

In 2017, a workshop was held for Lower Klamath and Tule Lake National Wildlife Refuges to 1) review the refuges conservation situation (goals, objectives, conservation priorities), 2) review invasive plant management history (target species and areas, management approaches and techniques), 3) evaluate invasive plant inventory and early detection priorities (species and areas), and 4) identify next steps to improve the efficiency and effectiveness of invasive plant management. This record holds the data documenting this effort.

This file contains data associated with the paper "Our national nutrient reduction needs: Applying a conservation prioritization framework to US agricultural lands" by Kirk et al. This analysis uses data summarized by 8-digit hydrologic unit code, or HUC8, to prioritize conservation activities based on needs and opportunities for in-field and edge-of-field conservation practices. HUC8-level subwatersheds were prioritized across the conterminous US using national nutrient inventory and agricultural landscape metrics. By utilizing nutrient surplus and nutrient use efficiency, the paper identifies where conservation efforts can focus, but also which types of conservation practices, singularly or in combination, might mitigate the excess nutrients.

This dataset contains the prioritization provided by a panel of 15 experts to a set of 28 barriers categories for 8 different roles of the future energy system. A Delphi method was followed and the scores provided in the three rounds carried out are included. The dataset also contains the scripts used to assess the results and the output of this assessment. A list of the information contained in this file is: data folder: this folders includes the scores given by the 15 experts in the 3 rounds. Every round is in an individual folder. There is a file per expert that has the scores between -5 (not relevant at all) to 5 (completely relevant) per barrier (rows) and actor (columns). There is also a file with the description of the experts in terms of their position in the company, the type of company and the country. fig folder: this folder includes the figures created to assess the information provided by the experts. For each round, the following figures are created (in each respective folder): Boxplot with the distribution of scores per barriers and roles. Heatmap with the mean scores per barriers and roles. Boxplots with the comparison of the different distributions provided by the experts of each group (depending on the keywords) per barrier and role. Heatmap with the mean score per barrier and use case and with the prioritization per barrier and use case. Finally, bar plots with the mean scores differences between rounds and boxplot with comparisons of the scores distributions are also provided. stat folder: this folder includes the files with the results of the different statistical assessment carried out. For each round, the following figures are created (in each respective folder): The statistics used to assess the scores (Intraclass correlation coefficient, Inter-rater agreement, Inter-rater agreement p-value, Homogeneity of Variances, Average interquartile range, Standard Deviation of interquartile ranges, Friedman test p-value Average power post hoc) per barrier and per role. The results of the post hoc of the Friedman Test per berries and per roles. The average score per barrier and per role. The mean value of the scores provided by the experts grouped by the keywords per barrier and role. P-value of the comparison of these two values. The end prioritization of the barrier for the use case (averaging the scores or merging the critical sets) Finally, the differences between the mean and standard deviations of the scores between two consecutive rounds are provided.

This dataset is designed to be used in evaluation studies of regression test prioritization techniques. It includes 20 open-source Java projects from GitHub and over 100,000 logs of real-world build logs from TravisCI. The projects span a wide range with regard to size, number of contributors, and maturity of open-source Java projects available on GitHub.

Futher, the dataset includes the results of baseline approaches to ease the comparison of new techniques applied to the dataset.

A readme file with a more detailed description of the structure of the dataset is included. For even more information see the corresponding MSR 2020 publication.

Versions:

• 2020-09-23 (version 1.1)
  • Updated archived `deeplearning4j` repository with a fork that contains all of the original commits. Repository at the original GitHub location had been replaced. Defect identified by Daniel Elsner (Technische Universität München).
  • Renamed root folder from MSR2 to rtp-torrent
• 2020-05-25 (version 1.0)
  • Initial release

In 2017, invasive plant species and area priorities for baseline inventory and early detection were identified for Marin Islands National Wildlife Refuge. Results from this effort will inform a future inventory, and guide development of invasive plant management objectives and strategies. This record holds the data documenting this effort.

During an online March 2023 survey among business-to-business (B2B) marketers in the United Kingdom (UK), slightly more than two-thirds (or 67 percent) of respondents stated that ensuring data compliance and accuracy was prioritized to a great or very great extent at their companies.

... The Director of the Office of Science and Technology Policy then provided a formal charge, asking PITAC members to concentrate their efforts on the focus, balance, and affectiveness of current Federal cyber security research and development R and D activities see Appendix A. To conduct this examination, PITAC established the Subcommittee on Cyber Security, whose work culminated in this report, Cyber Security: A Crisis of Prioritization...

ASTHO created a Testing Prioritization Guidance layer using Esri’s ArcGIS online mapping tool. Data was sourced from health agency websites, executive orders and guidance documents. The layer displays information on state/territorial level guidance on testing prioritization from health agency websites. Please note, local authorities may also issue declarations or executive orders that are more restrictive in nature. This information is not included on this layer. Information is assessed regularly by ASTHO staff for relevance to state/territorial health officials’ priorities in their COVID-19 response. Updates to this layer will occur periodically.Data Definitions:Testing Prioritization Guidance - Health agencies that have issued guidance on testing prioritization to meet COVID-19 response needs.Terms of Use:If you plan to use this map to advance your own research or to disseminate the information we’ve presented here, please reference the below data citation, using DataCite’s format for citing.ASTHO. March 27, 2020. Testing Prioritization Guidance. Esri ArcGIS Layer. https://www.astho.org/COVID-19/.Originally published March 27, 2020 on https://www.astho.org/COVID-19/Workbook details: 1 attribute table in ArcGisOriginal author: ASTHO

Shape file containing data and results of the prioritization approach for the navigable Danube river for conservation and restortion planning.