Peter Folmer Hansen · Apress eBooks · 2026
Master data is the foundation of your business, supporting your core processes, connecting your operational systems, and enabling reliable decision-making. It underpins your transactional data, links to your reference data, and shapes your metadata. Without trusted, structured, and well-governed master data, even the most advanced analytics or automation efforts are built on unstable ground. This chapter introduces the critical concepts of master data governance (MDG) and master data management (MDM)—two disciplines that work hand in hand to ensure that your data is accurate, consistent, and usable throughout the organization.
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Dezene Huber, Mackenzie Howse · OSF Preprints (OSF Preprints) · 2022
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Sahay, Harsh · Zenodo (CERN European Organization for Nuclear Research) · 2024
Master data used for Broken English experiment
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Dezene Huber, Mackenzie Howse · OSF Preprints (OSF Preprints)
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Manner, Johannes · Figshare · 2018
Data and R scripts used for Binning during my master thesis<br>
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Anamaries Garcia Marrero, Jon Grahe, Amber Cooper · OSF Preprints (OSF Preprints) · 2019
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South Carolina Department of Administration. Budget Advisory Group · The South Carolina State Library Digital Collections (South Carolina State Library) · 2023
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Johannes Manner · Figshare · 2018
Data and R scripts used for Binning during my master thesis<br>
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Cheng Li (6339), Archana Prabu Kumar (12201188), Dapkupar Wankhar (22496828) et al. · Figshare · 2025
<div> Background Sleep disturbances are common among older adults, affecting up to 50% of this population and significantly impacting quality of life and health outcomes. Music therapy has been proposed as a non-pharmacological intervention to improve sleep quality in this population, but evidence regarding its effectiveness remains inconsistent across individual studies. Therefore, this systematic review and meta-analysis aims to synthesize available evidence on the effectiveness of music therapy interventions for improving sleep quality in elderly adults.. Methods We conducted a systematic review and meta-analysis following PRISMA guidelines. Major databases were searched for studies evaluating music interventions for sleep quality in adults aged 50 + years. Randomized controlled trials (RCTs) and non-randomized controlled trials (non-RCTs) were included. Risk of bias was assessed using the Cochrane Risk of Bias 2 (RoB 2) tool for RCTs and the Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool for non-RCTs. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using both common effect and random effects models. The certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Results The initial search retrieved 473 articles from electronic databases. After removing duplicates and screening, 10 studies (6 RCTs, 4 non-RCTs) published between 2010 and 2023 with 602 participants met inclusion criteria and were included in the meta-analysis. The random effects model showed significant improvement in sleep quality with music therapy (SMD: −0.79; 95% CI, −1.25 to −0.33; P < .001). Substantial heterogeneity was observed (I² = 79%; Q = 42.54; P < .001). Subgroup analysis revealed significant benefits in RCTs (SMD: −0.59; 95% CI, −1.11 to −0.07) but not in non-RCTs (SMD: −1.08; 95% CI, −2.36 to 0.19). Sensitivity analyses confirmed the robustness of findings, and no publication bias was detected. GRADE assessment indicated very low certainty of evidence for both RCTs and non-RCTs due to risk of bias concerns and substantial heterogeneity. Conclusions Music therapy demonstrates significant improvement in sleep quality among older adults; however, the very low certainty of evidence based on GRADE assessment suggests caution in clinical recommendations. Future research should address methodological limitations, particularly regarding bias in outcome measurement and intervention implementation, to provide more definitive evidence for clinical practice guidelines. </div>
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Dezene Huber, Mackenzie Howse · OSF Preprints (OSF Preprints) · 2022
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Christine A. Butts (12511522), Duncan I. Hedderley (12511525), Sheridan Martell (12511528) et al. · Figshare · 2022
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Anamaries Garcia Marrero, Jon Grahe, Amber Matteson · OSF Preprints (OSF Preprints) · 2019
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2009
This chapter contains sections titled: An unclaimed asset Master data management: centralization Enterprise information integration: federation Between centralization and federation Data governance Towards information management Bibliography
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Ravikant Singh · International Journal of Scientific Research and Modern Technology. · 2025
Customer Master Data Management (CMDM) serves as a critical operational foundation for enterprises because it enables consistent accurate customer data management across all organizational systems. The current CMDM systems face multiple problems because they fail to sustain high data quality standards and handle expanding operations and unorganized data entries. The research develops an advanced CMDM system which uses domain-specific Large Language Models (LLMs) that receive training from organizational customer data. The system unites LLM-based intelligence with a multi-model framework to deliver superior standardization and validation and enrichment functions. The Human-in-the-Loop (HITL) governance model maintains compliance and accuracy standards through ongoing improvement processes. The system unites better data quality with intelligent customer analytics to create foundations for AI-driven business growth.
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Astuti Dwi Putri, Ratu · Figshare · 2024
Data Availability
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Brent Schultz (817841), Xiaopan Yao (404808), Yanhong Deng (284485) et al. · Figshare · 2015
<p>All samples are assigned arbitrary numbers for ease of reference. Samples are categorized according to which set of experiments were performed, then by paternal/maternal genotype regarding the IGF2 rtPCR experiment. All sub categories are then sorted by age at resection. All quantitative data is collated with clinical descriptors. Please see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0113168#sec002" target="_blank">methods</a> section under specimen collection for details regarding the selection of individual samples for each experiment.</p>
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Astuti Dwi Putri, Ratu · Figshare · 2024
Data Availability
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Kerry Ebert · OSF Preprints (OSF Preprints) · 2022
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David Loshin · Elsevier eBooks · 2009
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Xian Wu · OSF Preprints (OSF Preprints) · 2025
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