Relevant bibliographies by topics / Data with gaps

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data with gaps'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Data with gaps"

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D, Mariette. "Unhealthful Data Gaps." Scientific American 320, no. 5 (2019): 4. http://dx.doi.org/10.1038/scientificamerican0519-4.

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Aldhous, Peter. "Gaps loom in satellite data." Nature 355, no. 6362 (1992): 662. http://dx.doi.org/10.1038/355662a0.

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Zielinski, Sarah. "Filling gaps in ecosystem data." Eos, Transactions American Geophysical Union 87, no. 26 (2006): 254. http://dx.doi.org/10.1029/2006eo260004.

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Pearman, Francis A., F. Chris Curran, Benjamin Fisher, and Joseph Gardella. "Are Achievement Gaps Related to Discipline Gaps? Evidence From National Data." AERA Open 5, no. 4 (2019): 233285841987544. http://dx.doi.org/10.1177/2332858419875440.

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There is growing interest in the relation between the racial achievement gap and the racial discipline gap. However, few studies have examined this relation at the national level. This study combines data from the Stanford Education Data Archive and the Civil Rights Data Collection and employs a district fixed effects analysis to examine whether and the extent to which racial discipline gaps are related to racial achievement gaps in Grades 3 through 8 in districts across the United States. In bivariate models, we find evidence that districts with larger racial discipline gaps have larger racia
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Marqués, José Manuel, Fernando Ávila, Anahí Rodríguez-Martínez, et al. "Policy report on FinTech data gaps." Latin American Journal of Central Banking 2, no. 3 (2021): 100037. http://dx.doi.org/10.1016/j.latcb.2021.100037.

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Shroff, Sangeeta. "Data Gaps in Agricultural Statistics:Some Issues." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 58, no. 3 (2016): 228. http://dx.doi.org/10.21648/arthavij/2016/v58/i3/147827.

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Cameron, Erin K., Inês S. Martins, Patrick Lavelle, et al. "Global gaps in soil biodiversity data." Nature Ecology & Evolution 2, no. 7 (2018): 1042–43. http://dx.doi.org/10.1038/s41559-018-0573-8.

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SCHNEIDER, MARY ELLEN. "Decoding Care Transitions Despite Data Gaps." Hospitalist News 5, no. 4 (2012): 3. http://dx.doi.org/10.1016/s1875-9122(12)70080-9.

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Gilbert, Natasha. "Data gaps threaten chemical safety law." Nature 475, no. 7355 (2011): 150–51. http://dx.doi.org/10.1038/475150a.

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Golbus, Jessica R., W. Nicholson Price, and Brahmajee K. Nallamothu. "Privacy Gaps for Digital Cardiology Data." Circulation 141, no. 8 (2020): 613–15. http://dx.doi.org/10.1161/circulationaha.119.044966.

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Dissertations / Theses on the topic "Data with gaps"

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Pinell, Graciela Tejada. "Spatial assessment of data gaps for estimating biomass across the brazilian Amazon." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/06.16.22.29.

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Amazon forest provides fundamental ecosystem services such as biodiversity conservation, water cycling and carbon sequestration. Given the large extent of Brazilian forests, 75% of the Amazon Basin, there is great uncertainty in the storage of aboveground biomass (AGB) carbon stocks. There is a significant difference between AGB estimates and an urgent need to improve AGB estimates to support the National Communications (NC) of Brazil to the United Nations Framework Convention on Climate Change and Reducing Emissions from Deforestation and Degradation (REDD+). Whether for NC, REDD+ or for the
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Pham, Cuong Q. "Product evaluation: Can systems thinking be applied to identify gaps in the knowledge generation process?" Thesis, Griffith University, 2020. http://hdl.handle.net/10072/394682.

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Research serves to increase the already known stock of knowledge (Salter & Kothari, 2016). Research may seek to address goals such as establishing/confirming facts, reaffirming results, solving new/existing problems or examining/supporting/developing theorems (Antwi & Hamza, 2015). The outcomes obtained through research aids decision makers, who in turn can act upon knowledge generated (Kothari, MacLean, & Edwards, 2009). In seeking further knowledge, a variety of methodologies are available to researchers (Bayley & Phipps, 2019; Karami, Rowley, & Analoui, 2006). The literature acknowledges re
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McHugh, Alyson Elizabeth. "Missing baseline information for British Columbia's forests : can timber cruise data fill some gaps?" Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/778.

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Assessing trends in forest ecosystems requires a thorough understanding of a benchmark or condition against which changes can be measured. Timber cruise information is a valuable source of baseline data, and has potential to be used in monitoring the effectiveness of management actions taken to maintain biodiversity and other societal values during and after harvesting. The objective of this study was to assess the efficacy of using these data as baseline information in FREP (Forest and Range Evaluation Program) Stand Level Biodiversity (SLB) assessments. Using three different data sources
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Maggini, Ramona. "Species distribution models for conservation-oriented studies in Switzerland: filling data and tool gaps." Thesis, University of Lausanne, Switzerland, 2011. https://serval.unil.ch/notice/serval:BIB_16EF29C539B2.

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Species distribution models (SDMs) represent nowadays an essential tool in the research fields of ecology and conservation biology. By combining observations of species occurrence or abundance with information on the environmental characteristic of the observation sites, they can provide information on the ecology of species, predict their distributions across the landscape or extrapolate them to other spatial or time frames. The advent of SDMs, supported by geographic information systems (GIS), new developments in statistical models and constantly increasing computational capacities, has revo
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Xiang, Yun. "Ethnic differences in achievement growth: Longitudinal data analysis of math achievement in a hierarchical linear modeling framework." Thesis, Boston College, 2009. http://hdl.handle.net/2345/676.

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Thesis advisor: Henry Braun<br>Given the call for greater understanding of racial inequality in student achievement in K-12 education, this study contributes a comprehensive, quantitative, longitudinal examination of the achievement gap phenomenon, with particular attention to the organization characteristics of schools and school districts. Employing data from a large number of districts in a single state, it examines the trends in achievement and the growth in achievement after the passage of NCLB. It focuses on mathematics performance from grade 6 to grade 8. Both a traditional descriptive
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Gyau-Boakye, Philip. "Filling gaps in hydrological runoff data series in West-Africa = Ergänzung lückenhafter Abflussreihen in West-Afrika /." Bochum : Ruhr-Univ, 1993. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=006430220&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Guttieres, Donovan G. "Closing gaps in global access to biologic medicines : building tools to evaluate innovations in biomanufacturing." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117892.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 127-134).<br>Low-and-Middle Income Countries (LMICs) are experiencing a growing need for safe, effective, and affordable health services, especially medicines. Such trends are in part due to a continued epidemiologic transition from infectious to chronic, non-communicable diseases (NCDs). Today, NCDs account for a large portion of
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Hofuku, Yoyoi, Shinya Cho, Tomohiro Nishida, and Susumu Kanemune. "Why is programming difficult? : proposal for learning programming in “small steps” and a prototype tool for detecting “gaps”." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6445/.

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In this article, we propose a model for an understanding process that learners can use while studying programming. We focus on the “small step” method, in which students learn only a few concepts for one program to avoid having trouble with learning programming. We also analyze the difference in the description order between several C programming textbooks on the basis of the model. We developed a tool to detect “gaps” (a lot of concepts to be learned in a program) in programming textbooks.
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Feighan, Kelly. "A QUANTITATIVE ANALYSIS OF MARITAL AGE GAPS IN THE U.S. BETWEEN 1970 AND 2014." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/494818.

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Sociology<br>Ph.D.<br>Measuring spouses’ ages allows us to explore larger sociological issues about marriage, such as whether narrowing gaps signal gender progress or if a rise in female-older unions reveals a status change. Using Census and American Community Survey data, I test the merits of beauty-exchange and status homogamy theories as explanations for how heterosexual marital age gaps changed over a 40-year period of social and economic revolution. Analyses address questions about how age gaps compared for people with different characteristics, whether similarly aged couples exhibited gr
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Blomberg, Madeleine. "Biggest Skills Needs & Gaps : Case Study of Sandvik Coromant & Microsoft." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300053.

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In our increasingly digital age, the pace of digital transformation requires continuous learning. Microsoft CEO Satya Nadella put it simply when wanting Microsoft to transition from a culture of "know-it-all" to a culture of "learn-it-all". The most valuable commodity for leaders to do is to set an example for lifelong learning and to find opportunities to encourage others to do the same, allowing each employee to take responsibility for skilling up [18]. This study identifies prioritized skills and assesses what skills gaps exist from these. A maturity framework is developed to measure the le
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Books on the topic "Data with gaps"

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United States. Dept. of Transportation. and United States. Bureau of Transportation Statistics., eds. Bicycle and pedestrian data: Sources, needs, and gaps. U.S. Dept. of Transportation, Bureau of Transportation Statistics, 2000.

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United States. Bureau of Justice Statistics, ed. Bridging Gaps in Police Crime Data, Correction Notice. s.n., 1999.

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Benaka, Lee R. Fisheries release mortality: Identifying, prioritizing, and resolving data gaps. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, 2014.

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United States. Bureau of Transportation Statistics, ed. Bicycle And Pedestrian Data: Sources, Needs And Gaps, 2000. s.n., 2000.

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United States. Bureau of Justice Statistics, ed. Corrections: Bridging Gaps In Police Crime Data, April 2000. s.n., 2000.

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Schneider, Joanne Thacker. Foster care: Fraught with data gaps and inadequate services. Assembly Office of Research, 1989.

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Workshop on Nursing Data Gaps and Needs (1985 Washington, D.C.). Report of the workshop: Nursing Data Gaps & Needs, September 1985. The Division, 1986.

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Fund, International Monetary. Price pressure gaps: An application of P* using Korean data. International Monetary Fund, European and Research Departments, 1991.

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Workshop on Nursing Data Gaps and Needs (1985 Washington, D.C.). Report of the workshop: Nursing Data Gaps & Needs, September 1985. The Division, 1986.

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Ahmad, Raza. Analysis of gaps in data-based interventions in reproductive health in Pakistan. Leads Pakistan, 2007.

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Book chapters on the topic "Data with gaps"

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Fernandes da Silva, E. C. "GaAs: energy gaps." In New Data and Updates for I-VII, III-V, III-VI and IV-VI Compounds. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48529-2_88.

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Talukder, Asoke K. "Bridging the Inferential Gaps in Healthcare." In Big Data Analytics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93620-4_3.

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Battersby, Jane. "Data gaps and the politics of data." In Sustainable Food System Assessment. Routledge, 2019. http://dx.doi.org/10.4324/9780429439896-5.

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Gutowski, J., K. Sebald, and T. Voss. "CdO: energy gaps." In New Data and Updates for III-V, II-VI and I-VII Compounds. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-92140-0_209.

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Gutowski, J., K. Sebald, and T. Voss. "CdSe: energy gaps." In New Data and Updates for III-V, II-VI and I-VII Compounds. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-92140-0_221.

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Chu, J. "HgS: energy gaps." In New Data and Updates for III-V, II-VI and I-VII Compounds. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-92140-0_288.

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Fernandes da Silva, E. C. "AlAs: energy gaps." In New Data and Updates for III-V, II-VI and I-VII Compounds. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-92140-0_47.

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Fernandes da Silva, E. C. "AlAs: energy gaps." In New Data and Updates for I-VII, III-V, III-VI and IV-VI Compounds. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48529-2_65.

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Meyer, B. K. "AlN: energy gaps." In New Data and Updates for I-VII, III-V, III-VI and IV-VI Compounds. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48529-2_81.

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Richard, Antoine, Lior Fine, Offer Rozenstein, Josef Tanny, Matthieu Geist, and Cedric Pradalier. "Filling Gaps in Micro-meteorological Data." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67670-4_7.

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Conference papers on the topic "Data with gaps"

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Dhivakaran, Diya Akshita, Vishali Muralidharan, Balaraman Sundarambal, and N. Kirubakaran. "Hybrid Recommender Systems: Bridging Accuracy Gaps with Quantitative Evidence." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961865.

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Pochaba, Sabrina, Christian Maier, Matthias Herlich, and Peter Dorfinger. "Make Your Dataset Representative: Fill Data Gaps with Active Measurements." In 2024 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2024. https://doi.org/10.1109/wimob61911.2024.10770349.

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Holtkemper, Maike, and Christian Beecks. "Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825556.

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Al Tamime, Reham, Markus Strohmaier, and Ingmar Weber. "Exploring Global Gender Gaps in the Blockchain Domain: Insights from LinkedIn Advertising Data." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825073.

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Ba, Yang, Michelle V. Mancenido, and Rong Pan. "Fill In The Gaps: Model Calibration and Generalization with Synthetic Data." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.955.

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Prakash, Shubhra, Saumya Singh, and Ashutosh Mankar. "Bridging Data Gaps: A Comparative Study of Different Imputation Methods for Numeric Datasets." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691111.

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Li, Guanhong, and Xiaoyun Guo. "Advancing Data Science Education for Society 5.0: Identifying Gaps and Proposing Solutions." In 2024 IEEE 15th International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2024. https://doi.org/10.1109/coginfocom63007.2024.10894716.

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Szyc, Kamil, Tomasz Walkowiak, and Henryk Maciejewski. "Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models." In 2024 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2024. https://doi.org/10.1109/icdmw65004.2024.00115.

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Langa, Thobeka, and Hein S. Venter. "The State of the Art in Machine Learning-Based Information Security: Identifying the Gaps." In 2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS). IEEE, 2024. http://dx.doi.org/10.1109/icds62089.2024.10756485.

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Chirinos, Saul, Richie Joseph, Eduardo Munoz, and Pushpendra Tomar. "Accounting for Data Gaps and Uncertainty in Pipeline Risk Assessment and Integrity Assurance." In 37th International Pipeline Pigging and Integrity Management Conference 2025. Clarion Technical Conferences, 2025. https://doi.org/10.52202/078572-0091.

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Reports on the topic "Data with gaps"

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Vizmanos, Jana Flor, Jose Ramon Albert, Mika Muñoz, et al. Addressing Data Gaps with Innovative Data Sources. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.55.

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With the advent of digital transformation, information and communications technology innovations have also led to a "data revolution" wherein more data is being captured, produced, stored, accessed, analyzed, archived, and reanalyzed at an exponential pace. An examination of new data sources, including big data and crowd-sourced data, can complement traditional sources of statistics and unlock insights that can ultimately lead to interventions for better outcomes by informing policies and actions toward attaining robust, sustainable, and inclusive development. This study will examine PIDS webs
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Boone, Jonathan, Layton Breithaupt,, Maria Stevens, et al. Urban terrain data availability and gaps. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33387.

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MAXTED, MAXCINE. DATA CALL QUESTIONS RELATED TO POTENTIAL NEPA/DATA GAPS. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1716720.

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Mulhern, Julia, Mackenzie Mark-Moser, and Kelly Rose. Offshore Geologic Carbon Storage Data Collection and Data Gaps Analysis. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2382659.

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Fahey, Éamonn, Frances McGinnity, and Emma Quinn. Data for monitoring integration: Gaps, challenges and opportunities. ESRI, 2019. http://dx.doi.org/10.26504/bkmnext373.pdf.

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Giles Álvarez, Laura, Juan Carlos Vargas-Moreno, and Leonardo Pacheco Tenório Cavalcanti. Maps for Gaps: A Geospatial Approach to Estimating Development Gaps in Haiti. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003811.

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This paper presents the results of a development gap analysis for Haiti using a geospatial approach. Gaps are calculated and characterized by means of qualitative and quantitative techniques, including macroeconomic, microeconomic, and geospatial data analyses. The analysis identifies, presents, and discusses 16 sectoral gaps. It is then expanded by overlapping the sectoral gaps to identify possible relations and spillover effects between them. The results suggest that transportation, early childhood education, and crime and insecurity gaps are the most significant in terms of the area and pop
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Wells, Beric E., Dean E. Kurath, Lenna A. Mahoney, et al. Hanford Waste Physical and Rheological Properties: Data and Gaps. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1025093.

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Yin, Tianzhixi, Jianming Lian, John Buckheit, and Rui Fan. Bridging Power System Protection Gaps with Data-driven Approaches. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1771797.

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Mertz, Lynn. Addressing Food Equity Gaps with a Data-Informed Plan. AARP Thought Leadership, 2024. http://dx.doi.org/10.26419/int.00056.008.

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Ben, Jehonathan, Amanuel Elias, Rachel Sharples, et al. Identifying and filling racism data gaps in Victoria: A stocktake review. Centre for Resilient and Inclusive Societies, 2022. http://dx.doi.org/10.56311/mqvn2911.

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Despite Australia’s and Victoria’s stated commitment to promoting multiculturalism and equality, and to eradicating racism, our knowledge about the nature, extent and impact of different forms of racism on diverse populations is not as well-developed as it should be. Stakeholders addressing racism increasingly recognise that anti-racism initiatives must rely on robust scholarly evidence and high-quality data. Yet existing data have serious limitations. We report on a stocktake review of racism data collected nationally in Australia and with a specific focus on Victoria. We provide a comprehens
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