Data Coordinating Center for the NICHD Neonatal Research Network (U24)
NICHD 新生儿研究网络数据协调中心 (U24)
基本信息
- 批准号:10375431
- 负责人:
- 金额:$ 670万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-04-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:AddressBioinformaticsBiometryClinical ResearchClinical TrialsCollaborationsCommunicationDataData AnalysesData CollectionData Coordinating CenterData Management ResourcesData ReportingDevelopmentEnsureExhibitsFeasibility StudiesGoalsHelping to End Addiction Long-termHuman ResourcesInfrastructureInstitutionInstitutional Review BoardsKnowledgeLeadLeadershipLettersMasksMedicineMissionMonitorMulticenter Neonatal Research NetworkMulticenter StudiesNational Institute of Child Health and Human DevelopmentNeonatalNetwork InfrastructureNewborn InfantOpiate AddictionOpioidPerformancePerinatalPlayPopulationPrincipal InvestigatorProcessProductivityProtocols documentationPublic HealthPublicationsQualifyingQuality ControlRecording of previous eventsReportingResearchResearch DesignResearch PersonnelResearch PriorityResearch SupportResourcesRoleRunningSafetyServicesSiteSpeedStandardizationStatistical Data InterpretationStatistical MethodsStructureSystemTechnology TransferTrainingTreatment EfficacyUnited States National Institutes of HealthWorkclinical centerclinical practicedata managementdata qualitydata sharingdesignelectronic dataevidence baseexperienceflexibilityhealth economicshuman subjectimprovedinnovationinteroperabilitymeetingsmultidisciplinaryneonatal careopioid misuseparticipant safetyprogramsquality assurancerandomized trialstemsuccesssymposiumtooltreatment strategytrial design
项目摘要
:
Critical and persistent gaps in the evidence base for neonatal medicine require innovative and rigorous multicenter studies to address them. The NICHD Neonatal Research Network (NRN) investigates the safety and efficacy of treatment and management strategies for newborn infants. There is a crucial need for an independent Data Coordinating Center (DCC) that can provide high-quality and impartial biostatistical expertise to help the NRN target its resources and optimize its scientific impact by (a) helping the NRN identify research topics of high priority, (b) providing objective statistical expertise for the design and analyses of rigorous and feasible studies (especially masked randomized trials and interim monitoring thereof), (c) developing efficient processes and systems for effective use of limited resources, (d) ensuring standardization of study design, development, data collection, and analyses, and (e) dissemination of study results. RTI has been the DCC for the NRN since 1998 and proposes to continue in this role for the next 5 years. We will maximize NRN scientific productivity by (1) enhancing the scientific rigor of the Network with innovative trial designs and statistical methods that address the unique challenges in neonatal research; (2) optimizing productivity by providing flexible and efficient data and study management, and promoting data sharing, integration and harmonization; (3) protecting participant safety and study integrity through reports to the Data Safety and Monitoring Committee; (4) providing timely data analysis, collaborating with investigators on all NRN studies and publications; (5) leveraging the NRN infrastructure and data for external partnerships that support and amplify Network scientific goals; and (6) providing the logistical, communications, and regulatory support necessary to run an efficient and productive multicenter clinical research network. Dr. Abhik Das, the proposed DCC PI, has extensive experience in neonatal clinical studies, leading the NRN DCC for the past 12 years. He will be assisted by Alternate PIs Drs. Marie Gantz and Carla Bann and staff with significant NRN experience. Informed by our past accomplishments, we will support continued success of the NRN in advancing evidence-based neonatal care. This application has unique strengths to help advance the NRN research agenda: (1) a highly qualified and motivated PI and staff with in-depth knowledge and experience in neonatal research (including existing NRN data and active/planned studies), enabling seamless continuation of NRN research without additional training or resources; (2) proven scientific productivity, documented by the quality and quantity of NRN studies and publications supported by RTI that have changed clinical practice; (3) a state-of-the-art infrastructure of tools, processes, and systems that are flexible and customized to the needs of the NRN; (4) multidisciplinary experts who can collaborate with NRN Investigators to realize research goals; (5) robust data capture and management systems customized for the NRN that ensure data quality; and (6) an administrative structure providing maximum staffing flexibility to respond quickly to changing NRN needs.
“This study is part of the NIH’s Helping to End Addiction Long-term (HEAL) initiative to speed scientific solutions to the national opioid public health crisis. The NIH HEAL Initiative bolsters research across NIH to improve treatment for opioid misuse and addiction. This study will continue to build the evidence-basis for better treatment of opioid misuse and addiction in order to stem the national opioid public health crisis.”
:
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Abhik Das其他文献
Abhik Das的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Abhik Das', 18)}}的其他基金
Neonatal Research Network Data Coordinating Center (DCC) 2023-2028
新生儿研究网络数据协调中心 (DCC) 2023-2028
- 批准号:
10879205 - 财政年份:2023
- 资助金额:
$ 670万 - 项目类别:
Data Coordinating Center (DCC) for the Neonatal Opioid Withdrawal Syndrome Pharmacological Treatments Comparative Effectiveness Trial (NOWS PhaCET)
数据协调中心 (DCC) 新生儿阿片类药物戒断综合征药物治疗比较有效性试验 (NOWS PhaCET)
- 批准号:
10491217 - 财政年份:2021
- 资助金额:
$ 670万 - 项目类别:
Data Coordinating Center (DCC) for the Neonatal Opioid Withdrawal Syndrome Pharmacological Treatments Comparative Effectiveness Trial (NOWS PhaCET)
数据协调中心 (DCC) 新生儿阿片类药物戒断综合征药物治疗比较有效性试验 (NOWS PhaCET)
- 批准号:
10378283 - 财政年份:2021
- 资助金额:
$ 670万 - 项目类别:
Data Coordinating Center (DCC) for the Neonatal Opioid Withdrawal Syndrome Pharmacological Treatments Comparative Effectiveness Trial (NOWS PhaCET)
数据协调中心 (DCC) 新生儿阿片类药物戒断综合征药物治疗比较有效性试验 (NOWS PhaCET)
- 批准号:
10678679 - 财政年份:2021
- 资助金额:
$ 670万 - 项目类别:
Archiving and Documenting Data from the NICHD Neonatal Research Network
归档和记录来自 NICHD 新生儿研究网络的数据
- 批准号:
9803847 - 财政年份:2019
- 资助金额:
$ 670万 - 项目类别:
Data Coordinating Center for the NICHD Neonatal Research Network (U24)
NICHD 新生儿研究网络数据协调中心 (U24)
- 批准号:
9983354 - 财政年份:2018
- 资助金额:
$ 670万 - 项目类别:
Transfusion of Prematurity Early School Age Follow-up (TOP 5) DCC
早产儿输血早期学龄随访(TOP 5)DCC
- 批准号:
10021687 - 财政年份:2018
- 资助金额:
$ 670万 - 项目类别:
Transfusion of Prematurity Early School Age Follow-up (TOP 5) DCC
早产儿输血早期学龄随访(TOP 5)DCC
- 批准号:
10247622 - 财政年份:2018
- 资助金额:
$ 670万 - 项目类别:
Neonatal Research Network Data Coordinating Center (DCC) 2023-2028
新生儿研究网络数据协调中心 (DCC) 2023-2028
- 批准号:
10833754 - 财政年份:2018
- 资助金额:
$ 670万 - 项目类别:
Data Coordinating Center for the NICHD Neonatal Research Network (U24)
NICHD 新生儿研究网络数据协调中心 (U24)
- 批准号:
9898399 - 财政年份:2018
- 资助金额:
$ 670万 - 项目类别:
相似海外基金
Conference: Global Bioinformatics Education Summit 2024 — Energizing Communities to Power the Bioeconomy Workforce
会议:2024 年全球生物信息学教育峰会 — 激励社区为生物经济劳动力提供动力
- 批准号:
2421267 - 财政年份:2024
- 资助金额:
$ 670万 - 项目类别:
Standard Grant
Conference: The 9th Workshop on Biostatistics and Bioinformatics
会议:第九届生物统计与生物信息学研讨会
- 批准号:
2409876 - 财政年份:2024
- 资助金额:
$ 670万 - 项目类别:
Standard Grant
Open Access Block Award 2024 - EMBL - European Bioinformatics Institute
2024 年开放获取区块奖 - EMBL - 欧洲生物信息学研究所
- 批准号:
EP/Z532678/1 - 财政年份:2024
- 资助金额:
$ 670万 - 项目类别:
Research Grant
PAML 5: A friendly and powerful bioinformatics resource for phylogenomics
PAML 5:用于系统基因组学的友好且强大的生物信息学资源
- 批准号:
BB/X018571/1 - 财政年份:2024
- 资助金额:
$ 670万 - 项目类别:
Research Grant
PDB Management by The Research Collaboratory for Structural Bioinformatics
结构生物信息学研究合作实验室的 PDB 管理
- 批准号:
2321666 - 财政年份:2024
- 资助金额:
$ 670万 - 项目类别:
Cooperative Agreement
Planning Proposal: CREST Center in Bioinformatics
规划方案:CREST生物信息学中心
- 批准号:
2334642 - 财政年份:2023
- 资助金额:
$ 670万 - 项目类别:
Standard Grant
Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation
合作研究:IIBR:创新:生物信息学:连接化学和生物空间:属性控制分子生成的深度学习和实验
- 批准号:
2318829 - 财政年份:2023
- 资助金额:
$ 670万 - 项目类别:
Continuing Grant
Building a Bioinformatics Ecosystem for Agri-Ecologists
为农业生态学家构建生物信息学生态系统
- 批准号:
BB/X018768/1 - 财政年份:2023
- 资助金额:
$ 670万 - 项目类别:
Research Grant
Integrative viral genomics and bioinformatics platform
综合病毒基因组学和生物信息学平台
- 批准号:
MC_UU_00034/5 - 财政年份:2023
- 资助金额:
$ 670万 - 项目类别:
Intramural














{{item.name}}会员




