The experimental data were taken from Simon et al., who compiled potency data for effects related to neurotoxicity from four experimental datasets, Stenberg et al. [18] and Wigestrand et al. The measures of potency were EC50 (µM) or IC50 values for all the effects except Stenberg data, which were expressed as a percentage of the control uptake for different concentrations measured. This dataset is associated with the following publication: Pradeep, P., L. Carlson, R. Judson, G. Lehmann, and G. Patlewicz. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 101: 12-23, (2019).

To help guide its future data collection efforts, The DOE GTO funded a data gap analysis in FY2012 to identify high potential hydrothermal areas where critical data are needed. This analysis was updated in FY2013 and the resulting datasets are represented by this metadata. The original process was published in FY 2012 and is available here: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf Though there are many types of data that can be used for hydrothermal exploration, five types of exploration data were targeted for this analysis. These data types were selected for their regional reconnaissance potential, and include many of the primary exploration techniques currently used by the geothermal industry. The data types include: 1. well data 2. geologic maps 3. fault maps 4. geochemistry data 5. geophysical data To determine data coverage, metadata for exploration data (including data type, data status, and coverage information) were collected and catalogued from nodes on the National Geothermal Data System (NGDS). It is the intention of this analysis that the data be updated from this source in a semi-automated fashion as new datasets are added to the NGDS nodes. In addition to this upload, an online tool was developed to allow all geothermal data providers to access this assessment and to directly add metadata themselves and view the results of the analysis via maps of data coverage in Geothermal Prospector (http://maps.nrel.gov/gt_prospector). A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to the five data types. Using these five data coverage maps and the USGS Resource Potential Map, sites were identified for future data collection efforts. These sites signify both that the USGS has indicated high favorability of occurrence of geothermal resources and that data gaps exist. The uploaded data are contained in two data files for each data category. The first file contains the grid and is in the SHP file format (shape file.) Each populated grid cell represents a 10k area within which data is known to exist. The second file is a CSV (comma separated value) file that contains all of the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. The attributes in the CSV include: 1. grid_id : The id of the grid cell that the data intersects with 2. title: This represents the name of the WFS service that intersected with this grid cell 3. abstract: This represents the description of the WFS service that intersected with this grid cell 4. gap_type: This represents the category of data availability that these data fall within. As the current processing is pulling data from NGDS, this category universally represents data that are available in the NGDS and are ready for acquisition for analytic purposes. 5. proprietary_type: Whether the data are considered proprietary 6. service_type: The type of service 7. base_url: The service URL

The Rapid Ecoregional Assessments (REAs) were launched in 2010 to help improve the understanding of existing condition for ecoregions and how conditions may be altered by ongoing environmental changes and land use. They do not allocate resource uses or make management decisions. They provide science-based information and tools for land managers and stakeholders to consider in subsequent resource planning and decision making processes. REAs examine ecological values, conditions, and trends within large, connected areas that have similar environmental characteristics in order to capitalize on efficiency of scale. REAs provide context to make site-specific decisions and conduct analyses for resource management plans and National Environmental Policy Act processes. The REAs seek to identify important resource values and patterns of environmental change that may not be evident when managing smaller, local land areas.This document is Technical Supplement E for the rapid ecoregional assessment for the Yukon River Lowlands - Kuskokwim Mountains - Lime Hills ecoregion. It includes information about data gaps found with the final report.Contact: BLM_OC_REA_Data_Portal_Feedback_Team@blm.gov

Many large survey courses rely on multiple professors or teaching assistants to judge student responses to open-ended questions. Even following best practices, students with similar levels of conceptual understanding can receive widely varying assessments from different graders. We detail how this can occur and argue that it is an example of differential item functioning (or interpersonal incomparability), where graders interpret the same possible grading range differently. Using both actual assessment data from a large survey course in Comparative Politics and simulation methods, we show that the bias can be corrected by a small number of “bridging” observations across graders. We conclude by offering best practices for fair assessment in large survey courses. These files should fully replicate the findings in "Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class," accepted at Political Analysis in April, 2021.

Effective management of aquatic resources, wild and farmed, has implications for the livelihoods of dependent communities, food security, and ecosystem health. Good management requires information on the status of harvested species, yet many gaps remain in our understanding of these species and systems, in particular the lack of taxonomic resolution of harvested species. To assess these gaps we compared the occurrence of landed species (freshwater and marine) from the United Nations Food and Agriculture Organization (FAO) global fisheries production database to those in the International Union for Conservation of Nature (IUCN) Red List and the RAM Legacy Stock Assessment Database, some of the largest and most comprehensive global datasets of consumed aquatic species. We also quantified the level of resolution and trends in taxonomic reporting for all landed taxa in the FAO database. Of the 1,695 consumed aquatic species or groups in the FAO database considered in this analysis, a large portion (35%) are missing from both of the other two global datasets, either IUCN or RAM, used to monitor, manage, and protect aquatic resources. Only a small number of all fished taxa reported in FAO data (150 out of 1,695; 9%) have both a stock assessment in RAM and a conservation assessment in IUCN. Furthermore, 40% of wild caught landings are not reported to the species level, limiting our ability to effectively account for the environmental impacts of wild harvest. Landings of invertebrates (44%) and landings in Asia (>75%) accounted for the majority of harvest without species specific information in 2018. Assessing the overlap of species which are both farmed and fished to broadly map possible interactions – which can help or hinder wild populations - we found 296 species, accounting for 12% of total wild landings globally, and 103 countries and territories that have overlap in the species caught in the wild and produced through aquaculture. In all, our work highlights that while fisheries management is improving in many areas there remain key gaps in data resolution that are critical for fisheries assessments and conservation of aquatic systems into the future.

Our work is focused on Sections 4-7 of the GCF’s accreditation standards and requirements, as shown on the DAP system (fiduciary management, environmental and social safeguards (ESS) and gender) and our scope does not include the assessment of gaps in sections 1-3 (background information on the entity).

This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data).

The uploaded data are contained in two data files for each data category: A shape (SHP) file containing the grid, and a data file (CSV) containing the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to five data types:

1. well data
2. geologic maps
3. fault maps
4. geochemistry data
5. geophysical data

The programs replicate tables and figures from "The Assessment Gap: Racial Inequalities in Property Taxation", by Avenancio-Leon and Howard. Please see the Code Overview file for additional details.

Online experiment about the influence of the availability of a video tutorial on proportion of correct responses and subjective evaluation of the task (NASA-TLX). Two different tasks were given. The evaluation of statements on a map and the selection of grid fields that met a given requirement.

The aim of the study was to assess amphibian sampling completeness and the overlap of sampling completeness categories with natural protected areas (NPAs) and key biodiversity areas (KBAs) at global scale. We evaluated amphibian sampling completeness across six of the earth's eight biogeographic realms to identify well†sampled, under†sampled, and data†gap areas in the context of global amphibian distribution. Additionally, we examined the spatial overlap of each sampling category with NPAs and KBAs. The Nearctic and Australasian realms had the highest number of records and well†sampled areas. Significant data gaps were identified, particularly in the Afrotropical, Indo†Malayan, Neotropical, and Palearctic realms. We found low levels of spatial match (< 35%) between classified areas and NPAs/KBAs. Amphibian distribution data are largely incomplete, with the most extensive gaps in the most species†rich realms: Neotropic, Indo†Malayan, and Afrotropical. The low overlap between under†sam..., , , # Mapping amphibian data gaps: global assessment of sampling completeness and overlap with protected and key biodiversity areas

This dataset is part of the Data Availability Statement of the article Mapping the Missing: Assessing Amphibian Sampling Completeness and Overlap With Global Protected Areas (DOI: 10.1002/ECE3.71137), published in Ecology and Evolution. The article provides detailed citations for each dataset used, along with a full description of the processing steps applied.

To respect the usage rights of publicly available datasets, we do not share the original files but instead provide simplified versions that retain only the essential structure required to replicate our analyses. We strongly encourage users to access the original datasets for a more comprehensive source of information.

The most important datasets to run through the available scripts are:

Global amphibian distribution data: Retrieved from the Global Biodiversity Information Facility (GBIF) and avail...,

Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts associated with chemical emissions and chemicals in products. However, the systematic application of ML-based approaches to fill chemical data gaps is still limited, and their potential for addressing a wide range of chemicals is unknown. We prioritized chemical-related parameters for chemical toxicity characterization to inform ML model development based on two criteria: (1) each parameter’s relevance to robustly characterize chemical toxicity described by the uncertainty in characterization results attributable to each parameter and (2) the potential for ML-based approaches to predict parameter values for a wide range of chemicals described by the availability of chemicals with measured parameter data. We prioritized 13 out of 38 parameters for developing ML-based approaches, while flagging another nine with critical data gaps. For all prioritized parameters, we performed a chemical space analysis to assess further the potential for ML-based approaches to predict data for diverse chemicals considering the structural diversity of available measured data, showing that ML-based approaches can potentially predict 8–46% of marketed chemicals based on 1–10% with available measured data. Our results can systematically inform future ML model development efforts to address data gaps in chemical toxicity characterization.

Early assessment of the potential impact of chemicals on health and the environment requires toxicological properties of the molecules. Predictive modeling is often used to estimate the property values in silico from pre-existing experimental data, which is often scarce and uncertain. One of the ways to advance the predictive modeling procedure might be the use of knowledge existing in the field. Scientific publications contain a vast amount of knowledge. However, the amount of manual work required to process the enormous volumes of information gathered in scientific articles might hinder its utilization. This work explores the opportunity of semiautomated knowledge extraction from scientific papers and investigates a few potential ways of its use for predictive modeling. The knowledge extraction and predictive modeling are applied to the field of acute aquatic toxicity. Acute aquatic toxicity is an important parameter of the safety assessment of chemicals. The extensive amount of diverse information existing in the field makes acute aquatic toxicity an attractive area for investigation of knowledge use for predictive modeling. The work demonstrates that the knowledge collection and classification procedure could be useful in hybrid modeling studies concerning the model and predictor selection, addressing data gaps, and evaluation of models’ performance.

SUMS Gap Assessment Services Market Outlook

According to our latest research, the SUMS Gap Assessment Services market size reached USD 4.2 billion in 2024, demonstrating robust momentum driven by heightened regulatory scrutiny, digital transformation, and the demand for operational efficiency across industries. The market is projected to grow at a steady CAGR of 10.6% from 2025 to 2033, reaching a forecasted value of USD 10.2 billion by 2033. This remarkable growth is underpinned by the increasing adoption of gap assessment solutions to identify, analyze, and bridge critical process, compliance, and technology gaps, especially as organizations strive to remain competitive and resilient in a rapidly evolving business environment.

One of the primary growth factors propelling the SUMS Gap Assessment Services market is the surge in regulatory requirements and compliance mandates across sectors such as healthcare, BFSI, and government. Organizations are under mounting pressure to adhere to stringent standards like GDPR, HIPAA, SOX, and PCI DSS, which necessitate regular gap assessments to ensure compliance and avoid costly penalties. The evolving regulatory landscape, coupled with the increasing complexity of business processes, has made gap assessment services indispensable for risk mitigation and governance. This trend is further amplified by the global expansion of businesses, which exposes them to diverse regulatory frameworks and compels them to adopt comprehensive gap assessment strategies.

Another significant driver for the SUMS Gap Assessment Services market is the acceleration of digital transformation initiatives. As enterprises modernize their IT infrastructure and adopt advanced technologies such as cloud computing, artificial intelligence, and IoT, they encounter new vulnerabilities and integration challenges. Gap assessment services play a crucial role in identifying deficiencies in technology adoption, process alignment, and performance optimization. The rising incidence of cyber threats and data breaches has also heightened the need for robust gap assessments to safeguard sensitive information and ensure business continuity. Additionally, the shift towards remote and hybrid work models has introduced new operational gaps, further fueling the demand for professional assessment services.

The increasing focus on operational excellence and performance optimization is also bolstering the growth of the SUMS Gap Assessment Services market. Organizations across industries are striving to enhance productivity, reduce costs, and streamline workflows. Gap assessment services enable them to pinpoint inefficiencies, benchmark against industry best practices, and implement targeted improvements. This proactive approach not only drives competitive advantage but also supports strategic decision-making and long-term sustainability. The proliferation of data-driven decision-making and the growing adoption of performance management frameworks are expected to sustain the demand for gap assessment services in the coming years.

From a regional perspective, North America currently dominates the SUMS Gap Assessment Services market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The region's leadership can be attributed to the presence of major industry players, a mature regulatory environment, and early adoption of advanced technologies. However, Asia Pacific is anticipated to exhibit the fastest growth during the forecast period, driven by rapid industrialization, digitalization, and increasing awareness of compliance and risk management practices. Latin America and the Middle East & Africa are also witnessing steady growth, supported by government initiatives and the expansion of multinational corporations in these regions.

Service Type Analysis

The Service Type segment in the SUMS Gap Assessment Services market is categorized into Process Gap Assessment, Compliance Gap Assessment, Technology Gap Assessmen

AimThis study aimed to evaluate a clinical project aiming to address gaps in healthcare for young children in an immigrant, low-resource district from early identification of regulatory problems, autism, and other neurodevelopmental symptoms by child health services to assessment and interventions in specialist care.MethodsA mixed-model design was employed, consisting of a description of the clinical project and data from healthcare statistics to evaluating the care chain. Qualitative in-depth interviews were conducted to capture the perspectives of participating child health nurses. Data were analyzed using content analysis.ResultsThe mean age for referral from primary to specialist care for suspected autism decreased from 38 to 27 months at (n = 59). A total of 55 children were diagnosed with autism. The mean age at autism diagnosis decreased from 44 to 31 months. Waiting times from referral to intervention were shortened. Interventions were already initiated in primary care at the time of referral. Qualitative analyses of nurse experiences revealed three main categories: (1) new and increased knowledge, (2) great importance for every child and family, and (3) an efficient method with fewer gaps, which holds further potential for development.ConclusionProfessionals’ increased knowledge of early symptoms in children, combined with novel healthcare methods for close collaboration, made it possible to bridge the gaps and provide young children and their families with early assessments and essential early interventions. The study results point to opportunities for integrated healthcare and collaboration with families and preschools.

This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”.

In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars:

(1) an analysis of established features and functionalities, drawn from existing solutions, (2) a literature review on general requirements for digital repositories for research artefacts and related systems.

We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed:

The solutions are:

ResearchGate

Academia.edu

Zenodo

arXiv

Bibsonomy

Figshare

CKAN

DSpace

Invenio

Dataverse

EPrints

Overview of the data:

01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx This Excel file includes both the assessment metrics and the results for the 11 solutions

02 FAIREST Assessment Metrics.csv The assessment metrics as CSV

XX FAIREST Assessment XXX.csv Assessment result for the respective solution

14 FAIREST Assessment Template.xlsx A template to apply the metrics to an individual solution Note: Fill in your assessment in column F and get the result at the bottom of the sheet

Biodiversity loss is a major challenge. Over the past century, the average rate of vertebrate extinction has been about 100-fold higher than the estimated background rate and population declines continue to increase globally. Birth and death rates determine the pace of population increase or decline, thus driving the expansion or extinction of a species. Design of species conservation policies hence depends on demographic data (e.g., for extinction risk assessments or estimation of harvesting quotas). However, an overview of the accessible data, even for better known taxa, is lacking. Here, we present the Demographic Species Knowledge Index, which classifies the available information for 32,144 (97%) of extant described mammals, birds, reptiles, and amphibians. We show that only 1.3% of the tetrapod species have comprehensive information on birth and death rates. We found no demographic measures, not even crude ones such as maximum life span or typical litter/clutch size, for 65% of threatened tetrapods. More field studies are needed; however, some progress can be made by digitalizing existing knowledge, by imputing data from related species with similar life histories, and by using information from captive populations. We show that data from zoos and aquariums in the Species360 network can significantly improve knowledge for an almost eightfold gain. Assessing the landscape of limited demographic knowledge is essential to prioritize ways to fill data gaps. Such information is urgently needed to implement management strategies to conserve at-risk taxa and to discover new unifying concepts and evolutionary relationships across thousands of tetrapod species.

In this dataset, a variety of questions spanning different subjects and mediums are presented, and a comparison is made between the actual marks obtained by human respondents and the marks gained by the ChatGPT model. The dataset encompasses questions related to logical equivalences, programming concepts, and applications of various logical laws.

Each entry in the dataset includes the following information: - Questions: The text of the questions asked. - Subject: The subject of the question (e.g., Data Structures). - Medium: The type of assessment (e.g., Exam, Quiz, Assignment). - Max Marks: The maximum possible marks for the question. - Marks Obtained: The actual marks obtained by human respondents. - Marks Obtained ChatGPT: The marks gained by the ChatGPT model.

The dataset aims to provide insights into the performance of both human respondents and the ChatGPT model across different question types and assessment scenarios. It serves as a resource for evaluating the effectiveness of the model in predicting human-level performance on various question-based assessments, helping to understand the alignment between human reasoning and the model's responses.

The core function of the Resource Assessment and Conservation Engineering (RACE) Division is to conduct quantitative fishery surveys and related ecological and oceanographic research to measure and describe the distribution and abundance of commercially important fish and crab stocks in the eastern Bering Sea, Aleutian Islands, and Gulf of Alaska. This includes measuring the abundance of fish...

Higher Education Assessment Market Outlook

According to our latest research, the global higher education assessment market size reached USD 8.2 billion in 2024, reflecting a robust demand for digital and traditional assessment solutions across the education sector. The market is projected to grow at a CAGR of 12.8% from 2025 to 2033, reaching a forecasted value of USD 24.2 billion by 2033. This remarkable growth is primarily driven by the rapid digitization of academic assessment processes, the increasing emphasis on data-driven educational outcomes, and the widespread adoption of online learning platforms. As per our latest research, the market's trajectory is shaped by institutional needs for scalable, accurate, and secure assessment solutions that align with evolving pedagogical standards and regulatory frameworks.

A significant growth factor for the higher education assessment market is the accelerated adoption of digital technologies within academic institutions. Universities, colleges, and technical institutes are increasingly integrating sophisticated software platforms to streamline formative and summative assessments. These platforms enable educators to design, administer, and analyze assessments efficiently, reducing administrative burdens and enhancing the overall learning experience. The integration of artificial intelligence and machine learning algorithms in assessment tools has also revolutionized feedback mechanisms, enabling personalized learning pathways for students. Moreover, the COVID-19 pandemic acted as a catalyst, compelling institutions to rapidly shift toward remote and hybrid learning models, thereby boosting the demand for reliable online assessment solutions.

Another key driver is the growing emphasis on data-driven decision-making in higher education. Institutions are leveraging comprehensive assessment data to monitor student progress, identify learning gaps, and implement targeted interventions. This data-centric approach supports accreditation processes, curriculum development, and institutional benchmarking, making assessment solutions indispensable for academic quality assurance. Furthermore, regulatory mandates and accreditation requirements are prompting universities and colleges to adopt robust assessment systems that ensure transparency, fairness, and compliance with educational standards. The demand for scalable assessment solutions is also fueled by the increasing diversity of student populations and the need to accommodate various learning styles and abilities.

The evolution of educational methodologies, especially the rise of competency-based education and personalized learning, further propels the higher education assessment market. Institutions are moving beyond traditional testing methods and embracing formative, diagnostic, and placement assessments to foster continuous learning and improvement. The proliferation of blended and online learning environments has necessitated the development of flexible assessment delivery modes that can seamlessly integrate with learning management systems (LMS). As a result, solution providers are innovating to offer adaptive assessment platforms, secure proctoring technologies, and advanced analytics capabilities that cater to the dynamic needs of modern higher education.

From a regional perspective, North America currently dominates the higher education assessment market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. North America's leadership can be attributed to its advanced educational infrastructure, high digital literacy, and early adoption of edtech innovations. Europe is witnessing steady growth due to supportive government policies and increasing investments in digital education. Meanwhile, Asia Pacific is emerging as a lucrative market, driven by expanding university enrollments, government initiatives to modernize higher education, and the proliferation of affordable digital solutions. Latin America and the Middle East & Africa are also showing promising growth, albeit at a slower pace, as institutions in these regions gradually transition from traditional to digital assessment methods.

Component Analysis

The higher education assessment market, when segmented by component, is primarily divided into software and services. The software segment encompasses a wide array of digital solutions, including assessment management systems, online proctoring tools, plagiarism detection softwar

This hosted feature layer has been published in RI State Plane Feet NAD 83.RIDEM Integrated Water Quality Monitoring and Assessment Reporting Rhode Island's Section 305(b) State of the State's Waters Report and Section 303(d) List of Impaired WatersWater Quality -Integrated Report - Prior to 2008, DEM submitted the 305(b) Report and 303(d) List as separate documents. Recent USEPA guidance recommends that states develop and submit an Integrated Water Quality Monitoring and Assessment Report (Integrated Report). This guidance recommends that states integrate their Section 305(b) water quality assessment report and their Section 303(d) Impaired Waters List into a single document. The Integrated Report is intended to provide a streamlined approach to assessing and reporting on water quality.The new federal guidance results in a fundamentally different scope, organization, and options for communicating about water quality than previous guidance for these individual reports. Five new categories of assessment determination replace the old 305(b) assessment terminology (fully supporting, threatened, partially supporting, not supporting) and the 303(d) List Group format previously utilized by DEM. The new format provides an Integrated List consisting of 5 categories of water quality assessment information, with the fifth category being the list of impaired waters needing a TMDL.Assessments may result in different use support attainment status for the different designated uses for individual waterbodies. For example, a waterbody may be Fully Supporting swimming use, but there may be insufficient data to develop an aquatic life use support status. The Integrated Report Categories are presented below with a description of how the results of the individual assessments for each designated use on a waterbody are integrated to determine the final Integrated Report Category for each waterbody. In general, the integration of assessment determinations follows a hierarchical approach where a determination of impairment for any cause for any of the waterbody's designated uses will result in placement of the waterbody in Category 5. Similarly, there is a hierarchical approach to placement of a waterbody into Category 4A over 4B over 4C. While each waterbody is placed into only one of the 5 reporting categories, the attainment status of each designated use for each waterbody is documented on the Integrated Lists to facilitate tracking of information and to assist in addressing data gaps and directing water quality monitoring efforts.Cold/Warm - An assessment by Division of Fish & Wildlife identifying cold or warm water fish habitat.SRPW_1 - Identifies Special Resource Protection Waters as identified in the DEM Water Quality RegulationsSW_Pot - Waters potentially impaired by storm water runoffSW_Con - Waters confirmed impaired by storm water runoffURL_1 - Link to USEPA Waterbody ReportIWQMA_AsmntType - Integrated Water Quality Monitoring and Assessment Type. Some lakes, especially some run-of-river impoundments, are assessed as linear river centerlines.