Relevant bibliographies by topics / Data Timeliness

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

Academic literature on the topic 'Data Timeliness'

Author: Grafiati
Published: 2 June 2025
Last updated: 10 July 2025

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Journal articles on the topic "Data Timeliness"

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Safitri, Julia, Suhartini Suhartini, and Suhendri Suhendri. "The Role of Good Corporate Governance in The Timeliness of Financial Report Presentation." JBTI : Jurnal Bisnis : Teori dan Implementasi 14, no. 2 (2023): 364–82. http://dx.doi.org/10.18196/jbti.v14i2.19889.

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The first study's goal was to determine whether profitability, leverage, firm size, institutional ownership, and independent commissioners have an impact on financial reporting timeliness. The second goal was to see if the auditor class might mitigate the influence of profitability, leverage, company size, institutional ownership, and independent commissioners on financial reporting timeliness for energy businesses listed on the Indonesia Stock Exchange between 2017 and 2021. The data analysis method used logit regression for panel data analysis. According to the findings, profitability and independent commissioners had a considerable influence and a favorable link with financial reporting timeliness. Leverage, institutional ownership, and company size were not significant in the financial reporting timelines. The auditor class is unable to balance the variables of profitability, leverage, firm size, independent commissioners, and institutional ownership with financial reporting timeliness.
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Tang, Jun, Bing Guo, Yan Shen, Cheng Dai, and Yuming Jiang. "Data Timeliness Evaluation Based on Attribute Value Dependencies." Journal of Internet Technology 26, no. 2 (2025): 173–82. https://doi.org/10.70003/160792642025032602003.

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Data timeliness, a critical determinant of data quality, can distort data analysis outcomes and lead decision-makers astray when utilizing outdated data for mining. Current methodologies for exploring data timeliness encompass the recovery of temporal data sequences and the determination of timeliness relying on factors such as timestamps and uncertain data relationships. Timestamp-centric techniques are constrained by their dependence on precise temporal values. In contrast, methods grounded in uncertain relationships among data entities excel in managing multiple tuples of same entity. However, limited research addresses data timeliness while considering dependencies among data attribute values. This paper addresses this gap by investigating data timeliness within the context of attribute value dependencies. The paper commences by introducing pertinent concepts and regulations related to attribute value dependencies. It then defines the prevailing issue and proposes regulations alongside a data timeliness assessment model. Furthermore, the paper presents algorithms for extracting and consolidating data attribute value dependency regulations, in conjunction with an algorithm for timeliness assessment. The efficacy of these algorithms and the accuracy of the data timeliness assessment model are validated using real-world datasets. The experimental results affirm that the proposed algorithms demonstrate high execution efficiency and yield precise data timeliness assessments.
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Steim, J. M., and R. D. Reimiller. "Timeliness of Data Delivery from Q330 Systems." Seismological Research Letters 85, no. 4 (2014): 844–51. http://dx.doi.org/10.1785/0220120170.

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Dailey, L., R. E. Watkins, and A. J. Plant. "Timeliness of Data Sources Used for Influenza Surveillance." Journal of the American Medical Informatics Association 14, no. 5 (2007): 626–31. http://dx.doi.org/10.1197/jamia.m2328.

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Han, Qi, and Nalini Venkatasubramanian. "Timeliness-Accuracy Balanced Collection of Dynamic Context Data." IEEE Transactions on Parallel and Distributed Systems 18, no. 2 (2007): 158–71. http://dx.doi.org/10.1109/tpds.2007.31.

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Liu, Zehua, Xuefeng Ding, Jun Tang, Yuming Jiang, and Dasha Hu. "Anomaly Monitoring of Process Based on Recurrent Timeliness Rules (AMP-RTR)." Applied Sciences 12, no. 24 (2022): 12917. http://dx.doi.org/10.3390/app122412917.

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At present, many manufacturing enterprises have business systems such as MES, SPC, etc. In the manufacturing process, a large amount of data with periodic time series will be generated. How to evaluate the timeliness of periodically generated data according to a large number of time series is important content in the field of data quality research. At the same time, it can solve the demand of abnormal monitoring of production process faced by manufacturing enterprises based on the regularity change for periodic data timeliness. Most of the existing data timeliness evaluation models are based on a single fixed time stamp, which is not suitable for effective evaluation of periodic data with time series. In addition, the existing data timeliness evaluation methods cannot be applied to the field of process anomaly monitoring. In this paper, the Anomaly Monitoring of Process based on Recurrent Timeliness Rules (AMP-RTR) is proposed to meet the needs of periodic data timeliness evaluation and production process anomaly monitoring. RTR is the Rules defined to evaluate the timeliness of periodically generated data. AMP is to infer the abnormality of the product production process through the abnormality of the regularity change for periodic data timeliness based on RTR. The AMP-RTR model evaluates the timeliness of data in each cycle according to the time series generated periodically. At the same time, after the updated data arrives, the initial timeliness score of the next cycle is calculated. There are two cases in which the evaluation value of timeliness is abnormal. The first case is that the timeliness score value is less than the lower limit after updating. The second case is that the number of times the timeliness score exceeds the upper limit meets the set threshold. The user can dynamically adjust the production process according to the abnormal warning of the model. Finally, in order to verify the applicability of the AMP-RTR, we conducted simulation experiments on synthetic datasets and semiconductor manufacturing datasets. The experimental results show that the AMP-RTR can effectively monitor the abnormal conditions of various production processes in the manufacturing industry by adjusting the parameters of the model.
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Nurhasanah, Nurhasanah, Husaini Husaini, and Nur Ilmi Febriani. "Determine Timeliness Submission of Financial Statements of Manufacturing Companies in Indonesia Stock Exchange." E-Mabis: Jurnal Ekonomi Manajemen dan Bisnis 22, no. 2 (2021): 1–12. http://dx.doi.org/10.29103/e-mabis.v22i2.683.

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This study aims to analyze the effect of Firm Age, Profitability andLeverage on the timeliness of submitting financial reports in manufacturingcompanies on the Indonesia Stock Exchange. The populations aremanufacturing companies that have gone public listed on the Indonesia StockExchange (IDX) during the 2019-2020, which are 182 companies. Obtainedsampling used purposive sampling method. Based on this method the sampleobtained is 138 companies. The data were analyzed using panel dataregression with the help of the E-views analysis tool. Based on the results ofdata analysis that has been carried out, it was found that Company Age hada negative and significant effect on the timeliness of submitting financialstatements. This shows that the older the age of the company, the timelinessof publication of the company's financial statements will be lower.Meanwhile, profitability estimated by ROA and Debt estimated by DER haveno significant effect on the timeliness of submitting financial reports tomanufacturing companies on the Indonesia Stock Exchange
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Lestari, Melati Pramudita, Desty Wana, and Susan Andriana. "Timeliness of Financial Reporting." Journal of Applied Accounting and Taxation 9, no. 2 (2024): 205–15. https://doi.org/10.30871/jaat.v9i2.7409.

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Timely financial reporting is a widespread challenge, affecting numerous publicly traded companies in Indonesia. An examination of data from the Indonesia Stock Exchange (IDX) website, spanning the years 2010 to 2020, reveals that many companies submitted their financial reports past the deadline. The number of late submissions fluctuated over this period, with a noticeable decrease in 2010-2012 and 2016, followed by significant increases in 2013-2015 and 2018-2020. The year 2020 saw the highest number of late filers (96 companies), followed by 2015 (63 companies). This research delves into the elements that impact how quickly manufacturing companies listed on the Indonesia Stock Exchange (IDX) release their financial reports. This research investigates the influence of several factors on the promptness of corporate reporting. Specifically, it examines how a company's profitability, financial distress, and the intricacy of its business operations impact the timeliness of its reporting. It also considers whether the size of a company influences these relationships. This study employs a quantitative approach, utilizing panel data regression and moderated regression analysis (MRA) with EViews 10 software to examine associations within the data. The results showed that profitability and complexity have a negative effect on the timeliness of financial reporting, while financial distress has a positive effect. Firm Size can moderate the effect of profitability on the timeliness of financial reporting. However, it cannot moderate the effect of financial distress and operating complexity on the timeliness of financial reporting.
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Auliyah, Iriana. "ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETEPATAN WAKTU PELAPORAN KEUANGAN PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA." Economos : Jurnal Ekonomi dan Bisnis 3, no. 2 (2020): 77–87. http://dx.doi.org/10.31850/economos.v3i2.708.

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This study aims to determine the effect of profitability, ownership structure, leverage, company size and company size on the timeliness of financial reporting. The data used in this study are secondary data, namely data on return of assets, ownership structure, debt to equity ratio, company size, and company age with a period of 5 years (2015-2019), the data were analyzed and processed by multiple linear regression method. The results of this study indicate that profitability has a positive and significant effect on timeliness of financial reporting; ownership structure has a positive but not significant effect on timeliness of financial reporting; leverage has a positive but not significant effect on timeliness of financial reporting; company size has a positive but not significant effect on timeliness of financial reporting; company age has a positive and significant effect on timeliness of financial reporting; profitability, ownership structure, leverage, company size, and company age together affect on the timeliness of financial reporting.
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Oussii, Ahmed Atef, and Neila Boulila Taktak. "Audit report timeliness." EuroMed Journal of Business 13, no. 1 (2018): 60–74. http://dx.doi.org/10.1108/emjb-10-2016-0026.

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Purpose The purpose of this paper is to examine whether coordination between external auditors and the internal audit function affect the timeliness of audit reports as proxied by audit delay. Design/methodology/approach This study uses a survey of chief internal auditors from Tunisian listed companies to analyze the extent of coordination between IAFs and external auditors. Data spanning a four year period (2011-2014) was collected for 53 listed companies. Further, regression analysis was used to test the hypothesis. Findings Results indicate that greater coordination between internal and external auditors results in timelier financial reporting. Practical implications Overall, the study makes several important contributions. Findings provide important insights that an IAF acts as a valuable resource to external auditors. The results should be of interest to managers, external auditors and the Tunisian Financial Market Council. Originality/value This paper is one of few studies which have examined the association between internal-external audit coordination and timeliness of audit reports in an emerging market. The study makes a meaningful contribution to the corporate governance literature by investigating the influence of internal audit assistance on the delivery of timely audited financial information to the capital market. Results also have policy implications for Tunisian regulators with respect to the promotion of internal auditing best practices.
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Dissertations / Theses on the topic "Data Timeliness"

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Olupot-Olupot, Peter. "Evaluation of Antiretroviral Therapy Information System In Mbale Regional Referral Hospital, Uganda." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7320_1272589584.

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<p>HIV/AIDS is the largest and most serious global epidemic in the recent times. To date, the epidemic has affected approximately 40 million people (range 33 &ndash<br>46 million) of whom 67%, that is, an estimated 27 million people are in the Sub Saharan Africa. The Sub Saharan Africa is also reported to have the highest regional prevalence of 7.2% compared to an average of 2% in other regions. A medical cure for HIV/AIDS remains elusive but use of antiretroviral therapy (ART) has resulted in improvement of quality and quantity of life as evidenced by the reduction of mortality and morbidity associated with the infection, hence longer and good quality life for HIV/AIDS patients on ART.</p>
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hu, xiaoxiang. "Analysis of Time-related Properties in Real-time Data Aggregation Design." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39046.

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Data aggregation is extensively used in data management systems nowadays. Based on a data aggregation taxonomy named DAGGTAX, we propose an analytic process to evaluate the run-time platform and time-related parameters of Data Aggregation Processes (DAP) in a real-time system design, which can help designers to eliminate infeasible design decisions at early stage. The process for data aggregation design and analysis mainly includes the following outlined steps. Firstly, the user needs to specify the variation of the platform and DAP by figuring out the features of the system and time-related parameters respectively. Then, the user can choose one combination of the variations between the features of the platform and DAP, which forms the initial design of the system. Finally, apply the analytic method for feasibility analysis by schedulability analysis techniques. If there are no infeasibilities found in the process, then the design can be finished. Otherwise, the design must be altered from the run-time platform and DAP design stage, and the schedulability analysis will be applied again for the revised design until all the infeasibilities are fixed. In order to help designers to understand and describe the system and do feasibility analysis, we propose a new UML (Unified Modeling Language) profile that extends UML with concepts related to real-time data aggregation design. These extensions aim to accomplish the conceptual modeling of a real-time data aggregation. In addition, the transferring method based on UML profile to transfer the data aggregation design into a task model is proposed as well. In the end of the thesis, a case study, which applies the analytic process to analyze the architecture design of an environmental monitoring sensor network, is presented as a demonstration of our research.
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RULA, ANISA. "Time-related quality dimensions in linked data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/81717.

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Over the last few years, there has been an increasing di↵usion of Linked Data as a standard way to publish interlinked structured data on the Web, which allows users, and public and private organizations to fully exploit a large amount of data from several domains that were not available in the past. Although gathering and publishing such massive amount of structured data is certainly a step in the right direction, quality still poses a significant obstacle to the uptake of data consumption applications at large-scale. A crucial aspect of quality regards the dynamic nature of Linked Data where information can change rapidly and fail to reflect changes in the real world, thus becoming out-date. Quality is characterised by di↵erent dimensions that capture several aspects of quality such as accuracy, currency, consistency or completeness. In particular, the aspects of Linked Data dynamicity are captured by Time-Related Quality Dimen- sions such as data currency. The assessment of Time-Related Quality Dimensions, which is the task of measuring the quality, is based on temporal information whose collection poses several challenges regarding their availability, representation and diversity in Linked Data. The assessment of Time-Related Quality Dimensions supports data consumers in their decisions whether information are valid or not. The main goal of this thesis is to develop techniques for assessing Time-Related Quality Dimensions in Linked Data, which must overcome several challenges posed by Linked Data such as third-party applications, variety of data, high volume of data or velocity of data. The major contributions of this thesis can be summarized as follows: it presents a general settings of definitions for quality dimensions and measures adopted in Linked Data; it provides a large-scale analysis of approaches for representing temporal information in Linked Data; it provides a sharable and interoperable conceptual model which integrates vocabularies used to represent temporal information required for the assessment of Time-Related Quality Di- mensions; it proposes two domain-independent techniques to assess data currency that work with incomplete or inaccurate temporal information and finally it pro- vides an approach that enrich information with time intervals representing their temporal validity.
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Fahey, Rebecca Lee. "Evaluation of the System Attributes of Timeliness and Completeness of the West Virginia Electronic Disease Surveillance System' NationalEDSS Based System." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1341.

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Despite technological advances in public health informatics, the evaluation of infectious disease surveillance systems data remains incomplete. In this study, a thorough evaluation was performed of the West Virginia Electronic Disease Surveillance System (WVEDSS, 2007-2010) and the West Virginia Electronic Disease Surveillance System NationalEDSS -Based System (WVEDSS-NBS; March 2012 - March 2014) for Category II infectious diseases in West Virginia. The purpose was to identify key areas in the surveillance system process from disease diagnosis to disease prevention that need improvement. Grounded in the diffusion of innovation theory, a quasi-experimental, interrupted, time-series design was used to evaluate the 2 data sets. Research questions examined differences in mean reporting time, the 24-hour standard, and comparison of complete fields (DOB, gender etc.) of the data sets using independent samples t tests. The study found (a) that the mean reporting times were shorter for WVEDSS compared to WVEDSS-NBS (p < .05) for all vaccine-preventable infectious diseases (VPID) in Category II except for mumps; (b) that the 24-hour standard was not met for WVEDSS compared to WVEDSS-NBS (p < .05) for all VPID in Category II except for mumps, and (c) that most fields were complete for WVEDSS compared to WVEDSS-NBS (p < .05) for all VPID in Category II except for meningococcal disease. Healthcare professionals in the state can use the results of this research to improve the system attributes of timeliness and completeness. Implications for positive social change included improved access to public health data to better understand health disparities, which, in turn could reduce morbidity and mortality within the population.
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Nilsson, Robert. "Automated Selective Test Case Generation Methods for Real-Time Systems." Thesis, University of Skövde, Department of Computer Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-487.

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<p>This work aims to investigate the state of the art in test case generation for real-time systems, to analyze existing methods, and to propose future research directions in this area. We believe that a combination of design for testability, automation, and sensible test case selection is the key for verifying modern real-time systems. Existing methods for system-level test case generation for real-time systems are presented, classified, and evaluated against a real-time system model. Significant for real-time systems is that timeliness is crucial for their correctness. Our system model of the testing target adopts the event-triggered design paradigm for maximum flexibility. This paradigm results in target systems that are harder to test than its time-triggered counterpart, but the model improves testability by adopting previously proposed constraints on application behavior. This work investigates how time constraints can be tested using current methods and reveals problems relating to test-case generation for verifying such constraints. Further, approaches for automating the test-case generation process are investigated, paying special attention to methods aimed for real-time systems. We also note a need for special test-coverage criteria for concurrent and real-time systems to select test cases that increase confidence in such systems. We analyze some existing criteria from the perspective of our target model. The results of this dissertation are a classification of methods for generating test cases for real-time systems, an identification of contradictory terminology, and an increased body of knowledge about problems and open issues in this area. We conclude that the test-case generation process often neglects the internal behavior of the tested system and the properties of its execution environment as well as the effects of these on timeliness. Further, we note that most of the surveyed articles on testing methods incorporate automatic test-case generation in some form, but few consider the issues of automated execution of test cases. Four high-level future research directions are proposed that aim to remedy one or more of the identified problems.</p>
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Barcellos, Leonardo Portugal. "Timeliness no Brasil: um estudo dos determinantes do prazo de divulgação das demonstrações contábeis das companhias não financeiras listadas na BM&FBOVESPA." Universidade do Estado do Rio de Janeiro, 2013. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4764.

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Esta dissertação tem o propósito principal de fornecer evidências empíricas acerca dos fatores que influenciam as decisões dos gestores quanto ao prazo de divulgação das demonstrações contábeis anuais das companhias não financeiras listadas na BM&FBOVESPA. O prazo de divulgação, chamado defasagem, foi medido como o intervalo em dias entre o encerramento do exercício social e a data da primeira apresentação das Demonstrações Financeiras Padronizadas (DFPs). O foco da pesquisa foi a influência, sobre a defasagem, dos seguintes fatores não observáveis: monitoramento, complexidade contábil, governança corporativa, relatório de auditoria e performance. Com base na literatura revisada, foram formuladas proxies destinadas a captar os efeitos desses fatores. Para a consecução dos objetivos, foram estimados modelos econométricos por meio dos métodos: (i) Mínimos Quadrados Ordinários (MQO) com dados em corte transversal; (ii) MQO com dados agrupados (OLS pooled); e (iii) painel de dados. Os testes foram aplicados sobre um painel balanceado de dados, ou seja, 644 observações de 322 companhias, referentes aos exercícios 2010 e 2011. Os resultados das estimações revelaram que tendem a divulgar mais rapidamente suas demonstrações companhias: (i) com maior número de acionistas; (ii) com maior nível de endividamento; (iii) que aderiram a um entre os níveis diferenciados de governança corporativa da BM&FBOVESPA; (iv) que possuem maiores proporções de diretores independentes na composição da diretoria (board); e (v) que foram auditadas por uma entre as firmas de auditoria do grupo Big-4. Por outro lado, constatou-se que tendem a atrasar suas divulgações companhias que: (i) estão sujeitas à consolidação de balanços; (ii) tiveram suas demonstrações contábeis ressalvadas pelos auditores independentes; (iii) e que registraram resultados negativos (prejuízos). Adicionalmente, foram formuladas proxies para captar os efeitos das surpresas contidas nos resultados, uma delas tendo como base o benchmark para as expectativas do mercado, qual seja, a previsão dos analistas, no entanto, não foram constatados impactos das surpresas sobre o prazo de divulgação. Também não foram verificadas influências, sobre o timing, oriundas da proporção de investidores institucionais, da formação de blocos de controle, da regulação estatal, do nível de rentabilidade, do porte e tampouco da negociação de valores mobiliários em mercados estrangeiros. Os achados desta pesquisa podem contribuir não apenas para a literatura dedicada a essa linha de pesquisa, como também para investidores, analistas de mercado e reguladores. As nuances observadas para os exercícios analisados, que marcaram a adoção integral do padrão contábil alinhado às normas IFRS e a recuperação da economia brasileira em relação aos impactos da crise financeira mundial, permitiram relevantes constatações. Além disso, a relevância deste estudo é ampliada pelo ineditismo presente na aplicação de proxies ainda não utilizadas em ambiente nacional para explicar os prazos de divulgação.
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Lee, Amra. "Why do some civilian lives matter more than others? Exploring how the quality, timeliness and consistency of data on civilian harm affects the conduct of hostilities for civilians caught in conflict." Thesis, Uppsala universitet, Institutionen för freds- och konfliktforskning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387653.

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Normatively, protecting civilians from the conduct of hostilities is grounded in the Geneva Conventions and the UN Security Council protection of civilian agenda, both of which celebrate their 70 and 20 year anniversaries in 2019. Previous research focusses heavily on protection of civilians through peacekeeping whereas this research focuses on ‘non-armed’ approaches to enhancing civilian protection in conflict. Prior research and experience reveals a high level of missingness and variation in the level of available data on civilian harm in conflict. Where civilian harm is considered in the peace and conflict literature, it is predominantly from a securitized lens of understanding insurgent recruitment strategies and more recent counter-insurgent strategies aimed at winning ‘hearts and minds’. Through a structured focused comparison of four case studies the correlation between the level of quality, timely and consistent data on civilian harm and affect on the conduct of hostilities will be reviewed and potential confounders identified. Following this the hypothesized causal mechanism will be process traced through the pathway case of Afghanistan. The findings and analysis from both methods identify support for the theory and it’s refinement with important nuances in the factors conducive to quality, timely and consistent data collection on civilian harm in armed conflict.
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Bashir, Imran. "Visualizing Complex Data Using Timeline." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17958.

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This thesis  introduces the idea of visualizing complex data using timeline for problem solving and analyzing a huge database. The database contains information about vehicles, which are continuously sending information about driving behavior, current location, driver ativities etc. Data complexity can be resolved by data visualization where user can see this complex data in the abstract form of timeline visualization. visualize complex data by using timeline mgiht help to monitor and track diffrent time dependent activities. We developed web application to monitor and track monthly, weekly, and daily activities which helps in decision making and understanding complex data.
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Kräutli, Florian. "Visualising cultural data : exploring digital collections through timeline visualisations." Thesis, Royal College of Art, 2016. http://researchonline.rca.ac.uk/1774/.

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This thesis explores the ability of data visualisation to enable knowl-edge discovery in digital collections. Its emphasis lies on time-based visualisations, such as timelines. Although timelines are among the earliest examples of graphical renderings of data, they are often used merely as devices for linear storytelling and not as tools for visual analysis. Investigating this type of visualisation reveals the particular challenges of digital timelines for scholarly research. In addition, the intersection between the key issues of time-wise visualisation and digital collections acts as a focal point. Departing from authored temporal descriptions in collections data, the research examines how curatorial decisions influence collec-tions data and how these decisions may be made manifest in timeline visualisations. The thesis contributes a new understanding of the knowledge embedded in digital collections and provides practical and conceptual means for making this knowledge accessible and usable. The case is made that digital collections are not simply represen-tations of physical archives. Digital collections record not only what is known about the content of an archive. Collections data contains traces of institutional decisions and curatorial biases, as well as data related to administrative procedures. Such ‘hidden data’ – information that has not been explicitly recorded, but is nevertheless present in the dataset – is crucial for drawing informed conclusions from dig-itised cultural collections and can be exposed through appropriately designed visualisation tools. The research takes a practice-led and collaborative approach, work-ing closely with cultural institutions and their curators. Functional prototypes address issues of visualising large cultural datasets and the representation of uncertain and multiple temporal descriptions that are typically found in digital collections. The prototypes act as means towards an improved understanding of and a critical engagement with the time-wise visualisation of col-lections data. Two example implementations put the design principles that have emerged into practice and demonstrate how such tools may assist in knowledge discovery in cultural collections. Calls for new visualisation tools that are suitable for the purposes of humanities research are widespread in the scholarly community. However, the present thesis shows that gaining new insights into digital collections does not only require technological advancement, but also an epistemological shift in working with digital collections. This shift is expressed in the kind of questions that curators have started seeking to answer through visualisation. Digitisation requires and affords new ways of interrogating collections that depart from putting the collected artefact and its creator at the centre of human-istic enquiry. Instead, digital collections need to be seen as artefacts themselves. Recognising this leads curators to address self-reflective research questions that seek to study the history of an institution and the influence that individuals have had on the holdings of a collection; questions that so far escaped their areas of research.
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Erande, Abhijit. "Automatic detection of significant features and event timeline construction from temporally tagged data." Kansas State University, 2009. http://hdl.handle.net/2097/1675.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The goal of my project is to summarize large volumes of data and help users to visualize how events have unfolded over time. I address the problem of extracting overview terms from a time-tagged corpus of data and discuss some previous work conducted in this area. I use a statistical approach to automatically extract key terms, form groupings of related terms, and display the resultant groups on a timeline. I use a static corpus composed of news stories, as opposed to an on-line setting where continual additions to the corpus are being made. Terms are extracted using a Named Entity Recognizer, and importance of a term is determined using the [superscript]X[superscript]2 measure. My approach does not address the problem of associating time and date stamps with data, and is restricted to corpora that been explicitly tagged. The quality of results obtained is gauged subjectively and objectively by measuring the degree to which events known to exist in the corpus were identified by the system.
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Books on the topic "Data Timeliness"

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Allum, Peter. Economic data dissemination: What influences country performance on frequency and timeliness? International Monetary Fund, Middle Eastern Department, 2001.

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Office, General Accounting. Tax administration: Accessibility, timeliness, and accuracy of IRS' telephone assistance program : report to congressional requesters. The Office, 1989.

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Office, General Accounting. Law enforcement: Information on timeliness of criminal fingerprint submissions to the FBI : report to the Ranking Minority Member, Committee on Appropriations, U.S. Senate. U.S. General Accounting Office, 2004.

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Computer Management Corporation of the South., ed. The genealogy timeline. Computer Management Corp. of the South, 1999.

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Ryan, T. C. I. Policy timeline and time series data for Kenya: An analytical data compendium. Kenya Institute of Public Policy Research and Analysis, 2002.

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Koivunen-Niemi, Laura. Learn to Create a Timeline in R With Data From the Global Shark Attack File (2020). SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771701.

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Wensheng, Peng, Xiong Duwen, Ernst Ekkehard, Zhu Huilin, and Zhou Zipeng. How and when will AI impact the economy. ILO, 2025. https://doi.org/10.54394/iwyt7917.

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This brief contributes to the current literature on AI exposure of jobs by considering cost curves of AI execution to estimate the timeline of AI adoption in China until 2050 using industry reports and sectoral employment and wage data from the National Bureau of Statistics of China.
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Wait Times for Veterans Scheduling Health Care Appointments: Challenges with Available Data on the Timeliness and Quality of VA Community Care. RAND Corporation, 2022. http://dx.doi.org/10.7249/cta2291-1.

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(Editor), Beverly Cory, and Karina Cory (Editor), eds. Timelines and Rhythm Patterns: Representing Time (Investigations in Number, Data, and Space). Dale Seymour Publications, 1996.

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Timelines and Rhythm Patterns, Student Activity Booklet (Investigation in Number, Data, and Space). Dale Seymour Pub., 1998.

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Book chapters on the topic "Data Timeliness"

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Liu, Zehua, Xuefeng Ding, Yuming Jiang, and Dasha Hu. "A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph." In Advanced Data Mining and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46661-8_5.

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Dolev, Danny, and H. Raymond Strong. "On safety and timeliness in distributed data management (preliminary report)." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50403-6_32.

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Rampazzo, Francesco, Marzia Rango, and Ingmar Weber. "New Migration Data: Challenges and Opportunities." In Handbook of Computational Social Science for Policy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16624-2_18.

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AbstractMigration is hard to measure due to the complexity of the phenomenon and the limitations of traditional data sources. The Digital Revolution has brought opportunities in terms of new data and new methodologies for migration research. Social scientists have started to leverage data from multiple digital data sources, which have huge potential given their timeliness and wide geographic availability. Novel digital data might help in estimating migrant stocks and flows, infer intentions to migrate, and investigate the integration and cultural assimilation of migrants. Moreover, innovative methodologies can help make sense of new and diverse streams of data. For example, Bayesian methods, natural language processing, high-intensity time series, and computational methods might be relevant to study different aspects of migration. Importantly, researchers should consider the ethical implications of using these data sources, as well as the repercussions of their results.
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Lázaro, Oscar, Jesús Alonso, Roxana-Maria Holom, et al. "Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle." In Technologies and Applications for Big Data Value. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_18.

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AbstractWith the rising complexity of modern products and a trend from single products to Systems of Systems (SoS) where the produced system consists of multiple subsystems and the integration of multiple domains is a mandatory step, new approaches for development are demanded. This chapter explores how Model-Based Systems Engineering (MBSE) can benefit from big data technologies to implement smarter engineering processes. The chapter presents the Boost 4.0 Testbed that demonstrates how digital twin continuity and digital thread can be realized from service engineering, production, product performance, to behavior monitoring. The Boost 4.0 testbed demonstrates the technical feasibility of an interconnected operation of digital twin design, ZDM subtractive manufacturing, IoT product monitoring, and spare part 3D printing services. It shows how the IDSA reference model for data sovereignty, blockchain technologies, and FIWARE open-source technology can be jointly used for breaking silos, providing a seamless and controlled exchange of data across digital twins based on open international standards (ProStep, QIF), allowing companies to dramatically improve cost, quality, timeliness, and business results.
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Chen, Xinghan, Yiping Zhang, and Yu Ye. "Assisting Refined Urban Management: Building an Evaluation Framework of Data Mapping Rate Towards Digital Twin City Platform." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_44.

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Abstract In recent years, digital twin city platforms often encounter issues such as emphasizing the physical model’s accuracy over social cognition and specialized applications over a comprehensive data system, hindering the fulfilment of refined urban management’s real needs. Therefore, it is essential to define the characteristics of an urban management-oriented digital twin platform and construct a detailed evaluation mechanism. This study examines the framework for evaluating mapping rates, introducing three indicators: data resolution, data freshness, and data relevance. We developed a quantifiable and replicable evaluation model to assess data completeness, update timeliness, and network correlation degree. Using Shanghai’s Huamu digital twin platform as a case study, we calculated each indicator and formed a comprehensive mapping rate evaluation. This research achieves a quantitative analysis of digital twin city platforms’ development quality which was previously unmeasurable. Additionally, this study aids in advancing digital twin city platforms to facilitate the development of a “bottom-up” refined urban management approach.
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Consoli, Sergio, Peter Markov, Nikolaos I. Stilianakis, Lorenzo Bertolini, Antonio Puertas Gallardo, and Mario Ceresa. "Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4581-4_17.

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AbstractThis paper presents a novel approach to epidemic surveillance, leveraging the power of artificial intelligence and large language models (LLMs) for effective interpretation of unstructured big data sources like the popular ProMED and WHO Disease Outbreak News. We explore several LLMs, evaluating their capabilities in extracting valuable epidemic information. We further enhance the capabilities of the LLMs using in-context learning and test the performance of an ensemble model incorporating multiple open-source LLMs. The findings indicate that LLMs can significantly enhance the accuracy and timeliness of epidemic modelling and forecasting, offering a promising tool for managing future pandemic events
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Oxtoby, Neil P. "Data-Driven Disease Progression Modeling." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_17.

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AbstractIntense debate in the neurology community before 2010 culminated in hypothetical models of Alzheimer’s disease progression: a pathophysiological cascade of biomarkers, each dynamic for only a segment of the full disease timeline. Inspired by this, data-driven disease progression modeling emerged from the computer science community with the aim to reconstruct neurodegenerative disease timelines using data from large cohorts of patients, healthy controls, and prodromal/at-risk individuals. This chapter describes selected highlights from the field, with a focus on utility for understanding and forecasting of disease progression.
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Mehta, Balwant Singh, Ravi Srivastava, and Siddharth Dhote. "Introduction." In India Studies in Business and Economics. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2544-4_1.

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Abstract This introductory chapter discusses two major global challenges: poverty and inequality, with a special focus on unfair inequality linked to justice and equal access to opportunities. It draws on Roemer’s concept of inequality of opportunity (IOp), which refers to differences in people’s outcomes caused by circumstances beyond their control. Measuring poverty and IOp is difficult, especially in countries like India, due to limited and outdated data. To overcome this, the chapter highlights the use of innovative machine learning methods that combine traditional, non-traditional, and geospatial data. These tools can improve how we measure poverty and IOp with greater accuracy and timeliness. The chapter also sets the stage for the rest of the book, explaining why these issues matter. It outlines the key research questions, the unique contributions of the study, and the methods used. Finally, it offers an overview of what each chapter covers and how the book is structured.
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Bianconi, Francesco. "Timelines." In Data and Process Visualisation for Graphic Communication. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57051-3_11.

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De Cubellis, Massimo, and Gerarda Grippo. "Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.22.

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The Trusted Smart statistics is an expression introduced by Eurostat to indicate the mature phase of the production of statistics based on Big Data and the transition from statistics based on traditional data sources to statistics created with new data sources. In this paper we will discuss: the impact of digital transformation in National Statistical Institutes (NSIs) and in their production of official statistics, how NSIs have adapted new research paradigms, how digital transformation has prompted National Statistical Institutes to adapt their production processes by exploiting new data sources, with the aim of improving statistical information also in terms of eg. of timeliness and granularity and strengthening their role in the ecosystem of scientific knowledge. This transformation process involves the entire organization in order to guarantee the same levels of relevance, quality and trust as traditional statistics. Istat, thanks to new data sources, increasingly performing technologies and specific skills, has positively seized the opportunities offered by the general context and has recently established a Trusted Smart Statistics Center (TSS Center) to have a governing body that systematically guides organizational adaptation at a technological, methodological, ethical, legal, communication and human resource level. The objective of the TSS Center is to capitalize the investments that Istat has made in European (e.g. ESSNet) and international (e.g. UNECE HLG-MOS) research projects, transferring the lessons learned and the know-how acquired in the statistics of new processes productive. At an organizational level, the TSS Center has the task of designing a sustainable organizational structure that helps and supports the individual company components to work in a systemic, coherent and synergistic way to create the new Trusted Smart Statistics production system.
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Conference papers on the topic "Data Timeliness"

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Alexander, Rex, and Cliff Johnson. "Vertical Flight Infrastructure Data Quality Shortcomings." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1270.

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This paper represents an assessment of how vertical flight infrastructure data is accounted for, the criteria and standards used to accomplish this, what shortcomings may exist in both the data as well as the process, and what changes need to be implemented in preparing for the next generation of vertical flight transportation. The primary focus of this paper will be to review the regulations, criteria, standards, and processes that apply to aviation infrastructure data Collection, Accuracy, Resolution, Integrity, Traceability, Timeliness, Completeness, and Format and to what extent it is successfully being accomplished in the vertical flight industry. Based on these findings, this paper will strive to identify the current gaps in data accountability for vertical flight infrastructure and provide recommendations for remediating these issues. While this assessment will be specific to current and traditional helicopter infrastructure, it is intended to provide insights into identifying best practices as it applies to the Advanced Air Mobility (AAM) industry and its supporting infrastructure as well.
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Torres, Sebastián. "Signal Processing Innovations at the National Severe Storms Laboratory: Improving the Quality and Timeliness of Data from Operational and Next-Generation Weather Radars." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640502.

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Mao, Qiang, Adam Dabrowski, Fusheng Wei, et al. "Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826063.

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Zhong, Jing, and Roy D. Yates. "Timeliness in Lossless Block Coding." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.113.

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Maria de Juana Gamo, Jose. "Modeling Timeliness for EPS-SG Mission Data." In SpaceOps 2012. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1293851.

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Zhang, Bei. "Modeling Optimization Study of Two-Dose Vaccine Distribution Considering Timeliness." In International Conference on Public Management and Big Data Analysis. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0012071700003624.

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Wolkin, Amy, and Royal Law. "37 Applying data science to improve timeliness of injury data analysis and visualization." In 14th World Conference on Injury Prevention and Safety Promotion (Safety 2022) abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/injuryprev-2022-safety2022.13.

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Kou, Xifeng, Xuliang Duan, Xuchen Zhao, and Yincheng Han. "Data Repair Method based on Timeliness and Conditional Function Dependency Rules." In ICCPR '19: 2019 8th International Conference on Computing and Pattern Recognition. ACM, 2019. http://dx.doi.org/10.1145/3373509.3373563.

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Zhao, Yi, Ke Xu, Feng Yan, Yuchao Zhang, Yao Fu, and Haiyang Wang. "Auction-based High Timeliness Data Pricing under Mobile and Wireless Networks." In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9149197.

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Pan, Chenxi, and Shuyu Li. "A task allocation algorithm for Coverage-Aware Crowdsensing with Data timeliness." In CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering. ACM, 2022. http://dx.doi.org/10.1145/3569966.3570083.

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Reports on the topic "Data Timeliness"

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Jha, Deepika, Manish Dubey, and Sejal Singla. The State of Real Estate Regulation in India 2023. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/tsreri11.2023.

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The RERA Act received widespread acclaim for its objectives to regulate a sizable and mostly unregulated sector marked by significant consumer investment and grievances. Seven years after the RERA Act, this report draws on data available in the public domain from 18 RERAs and their websites to take stock of the progress made in relation to the remit of RERA activity, the extent and timeliness of project disclosures, arrangements for grievance redress and institutional functioning of real estate regulatory authorities.
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.105.

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The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data to produce estimates at pixel as well as administrative levels as early as the beginning of every growing season. In Brief 105, we provide forecasts on Maize production in Rwanda.
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.106.

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The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data to produce estimates at pixel as well as administrative levels as early as the beginning of every growing season. In Brief 106, we provide forecasts on Sorghum production in Rwanda.
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.104.

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The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data to produce estimates at pixel as well as administrative levels as early as the beginning of every growing season. In Brief 104, we provide forecasts on Cassava production in Sierra Leone.
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List, Markus, Quirin Manz, Judith Bernett, et al. D2.1 Whitepaper on the platform knowledge base and data standards for in silico drug repurposing. REPO4EU, 2024. https://doi.org/10.58647/repo4eu.202400d2.1.

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Computational drug repurposing integrates data from diverse sources, such as sequence databases, GWAS studies, or high-throughput screens. Depending on the original use case or field of research, they vary in availability, timeliness, and compatibility with other data sources. Further, numerous computational tools have been introduced designed to identify active disease modules, indications, or drug-target interactions that use different methods and strategies while not adhering to standard guidelines. Clearing and harmonising the resulting inconsistencies consume essential resources such that compiling a well-structured work plan is fundamental. This whitepaper demonstrates the results of a systematic review effort of about 400 publications and proposes valuable resources and specific strategies for the REPO4EU consortium. We present reviews, databases and computational methods by their applicability to work package-specific tasks and suggest using popular data standards such as FASTQ, SAM and VCF for sequencing data. In detail, we argue how NeDRexDB should serve as an instance of a knowledge base in this project, outline how to create a reproducible yet flexible pipeline for module discovery, and lay out the application of the BioPAX standard for disease module representation. Future challenges include establishing guidelines for computational drug repurposing, flexible and standardised workflows, and comprehensive in silico validation. We are confident that this work will provide a solid basis for tackling them.
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Perfit, Janine, Mariko Russell, and Jorge E. Muñoz-Ayala. Improving the Quality of Statistics in Belize. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0009236.

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In modern public management the use of statistics for decision making is essential. Evidence-based policy, as well as results-based public management, cannot operate effectively without reliable and timely data. Likewise, without more specialized, quality statistics, the achievement of development objectives cannot be appropriately monitored, or the effectiveness of development plans evaluated. In the specific context of Belize, the importance of a well-functioning statistical system is essential to the process of economic and social development of the country. Yet, according to the evidence collected, the country is characterized by the absence of a statistical system; as such, the agencies that produce data based on administrative registries and surveys usually do their work independently; there is no regulation that governs statistical production in any institution outside the Statistical Institute of Belize (SIB); and there is no common set of classifiers, norms, and definitions based on good practices that meet international standards. Since the SIB does not audit and regulate the production of data in the country, statistical production is disintegrated and there is room for improvement in timeliness and quality. Moreover, Belize's National Statistical System (NSS) does not have any effective mechanism to reach users. To improve this situation, this technical note recommends strengthening the SIB's capacity to produce basic statistics and increasing the country's use of statistics through the implementation of a national statistics strategy in Belize with the SIB in the role as the coordinating agency. This will help to strengthen the entire statistical system.
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Kerber, Steve, and Derek Alkonis. Lahaina Fire Comprehensive Timeline Report. UL Research Institutes, 2024. http://dx.doi.org/10.54206/102376/vqkq5427.

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On August 8-9, 2023, the town of Lahaina, Hawaiʻi (on the island of Maui), endured a devastating fire fueled by environmental conditions, leading to 101 fatalities, widespread destruction, and devastating community impacts. The Fire Safety Research Institute (FSRI) conducted an extensive data collection effort to establish a comprehensive timeline and fact base around the Lahaina fires. This Lahaina Fire Comprehensive Timeline Report (Phase 1) report focuses on the events that occurred prior to, during, and immediately following the Lahaina fire, such as preparedness efforts, weather and its impact to infrastructure, and other fires occurring on Maui for the time period beginning at 14:55 (2:55 p.m. HST) on August 8, 2023, and concluding at 08:30 (8:30 a.m.) on August 9, 2023. Data from the three (3) other Maui fires is also included in specific sections to give context to the situation in Lahaina.
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deBoer, Richard J., and Paraskevi Dimitriou. International Nuclear Data Evaluation Network (INDEN) on the Evaluation of Light Elements (2). IAEA Nuclear Data Section, 2019. http://dx.doi.org/10.61092/iaea.acf3-gjj4.

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A Consultants’ meeting on the Evaluation of Light Elements within the International Nuclear Data Evaluation Network (INDEN) was held at the IAEA headquarters in Vienna from 30 to 31 August 2018. The goal of the meeting was to review the existing evaluations for light elements 9Be, 14,15N, 16O and 23Na, to identify areas for improvements in the evaluations, and to define the timeline to provide improved evaluations.
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deBoer, Richard J., and Paraskevi Dimitriou. International Nuclear Data Evaluation Network (INDEN) Meeting on the Evaluation of Light Elements. IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.0zgf-6yg6.

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A Consultants’ meeting on the Evaluation of Light Elements within the International Nuclear Data Evaluation Network (INDEN) was held at the IAEA headquarters in Vienna from 30 to 31 August 2018. The goal of the meeting was to review the existing evaluations for light elements 9Be, 14,15N, 16O and 23Na, to identify areas for improvements in the evaluations, and to define the timeline to provide improved evaluations.
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Mashingia, Jane, S. Maboko, P. I. Mbwiri, et al. Joint Medicines Regulatory Procedure in the East African Community: Registration Timelines and Way Forward. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317429.

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A review of the East African Community (EAC) joint regulatory review process was conducted, registration timelines analyzed and key milestones, challenges and opportunities documented for the period of July 2015 to January 2020. A total of 113 applications were submitted for joint scientific review. Among these, 109 applications were assessed, 57 were recommended for marketing authorisation, 52 applications had queries to applicants and four applications were under review. A total median approval time for all products ranged from 53 to 102 days. The maximum time taken by a regulator to review the dossier was 391 days and the minimum time was 44 days. For applicants, the maximum time to respond to queries was 927 days and the minimum time was nine days. The total median time for granting marketing authorisation by the National Medicines Regulatory Authorities (NMRA) decreased from 174 to 39 working days in 2015 and 2019 respectively. However, not all EAC NMRA has granted marketing authorisation to all 57 products due to non-payment of applicable fees by applicants. Long regulatory approval timelines were contributed by limited capacity for timely scientific review of dossier by some NMRA, lack of online portal to share dossiersand assessment reports, delay in responding to queries by applicants and deficiencies in dossier. The metric tool and register of medical products submitted for joint scientific review had incomplete data. Challenges were identified and actions recommended to ensure regional regulatory system optimization, efficiency, transparency, sustainability and accountability.
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