Misplaced Pages

#962037

26-499: DMP may refer to: In science and technology [ edit ] 2,2-Dimethoxypropane , a chemical reagent 2,6-dimethylphenol , a monomer Data management plan , generally submitted as part of research grant proposals Data management platform , software for managing online advertising and customer data as part of personalized marketing Data memory-dependent prefetcher , part of some CPU architectures Dess–Martin periodinane ,

52-733: A census and seven steps when it involves sampling . A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid data. The process provides both a baseline from which to measure and in certain cases an indication of what to improve. Data management platforms (DMP) are centralized storage and analytical systems for data, mainly used in marketing . DMPs exist to compile and transform large amounts of demand and supply data into discernible information. Marketers may want to receive and utilize first, second and third-party data.DMPs enable this, because they are

78-531: A North American company that publishes manga Digital matte painter Digital matte painting, a form of matte painting DMP Digital Music Products , a jazz record label founded in 1983 by Tom Jung Donaldson, Moir and Paterson, a Scottish rock band Drayton Manor Theme Park , a theme park in Staffordshire, England Other uses [ edit ] Debbie Mucarsel-Powell , American politician Debt management plan Desert Memorial Park ,

104-620: A cemetery near Palm Springs, California Dhaka Metropolitan Police Disability management program , used by employers to assist employees who are unable to work due to injury or illness Dublin Metropolitan Police , the police force of Dublin, Ireland, from 1836 to 1925 Dual-member proportional representation , a proposed voting system developed in Canada Topics referred to by the same term [REDACTED] This disambiguation page lists articles associated with

130-519: A chemical reagent used to oxidise alcohols Dot matrix printer , a type of printers used very commonly in the late 20th century Dialer management platform , a computer that manages least-cost routing dialers Digital media player , a category within the Digital Living Network Alliance (DLNA) standard Dimethyl phthalate , a plasticizer Dimethyl pimelimidate , also known as dimethyl pimelimidate dihydrochloride,

156-485: A cross-linking reagent Disease management programmes for chronic diseases Dynamic multipathing , a system of computer storage Dynamics of Markovian particles , in statistical mechanics, the basis of a theory for kinetics of particles DMP, a file suffix in Microsoft Windows used to indicate a file containing core dump data Digital Media Professionals, a Japanese GPU design company who designed

182-513: A database easier. If data are preserved, they are more relevant since they can be re-used by other researchers. It also allows the data collector to direct requests for data to the database, rather than address requests individually. A frequent argument in favor of preservation is that data that are preserved have the potential to lead to new, unanticipated discoveries, and they prevent duplication of scientific studies that have already been conducted. Data archiving also provides insurance against loss by

208-415: Is a research component in all study fields, including physical and social sciences , humanities , and business . While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers to the questions that have been posed. Regardless of

234-440: Is prevention, which is primarily a cost-effective activity to protect the integrity of data collection. Standardization of protocol, with comprehensive and detailed procedure descriptions for data collection, are central for prevention. The risk of failing to identify problems and errors in the research process is often caused by poorly written guidelines. Listed are several examples of such failures: There are serious concerns about

260-555: The Digital Curation Centre 's list of criteria for a DMP. Researchers shared DMP text. DMPs are often regarded as an "administrative exercise rather than an integral part" of the research process, and it has been acknowledged that DMPs do not guarantee good data management practices. Most funders do not require a DMP after grants are awarded, thus robbing stakeholders of the powerful tool that an active DMP can be. Best practice would be to "require maintenance of

286-717: The PICA200 chip Differentially Methylated Position; a methylated probe in the Illumina Methylation Assay Medical [ edit ] Doctor of Medical Physics, a degree in medical physics Dance movement therapy (in the UK) or "dance therapy" (in the US and Australia) Differentially Methylated Positions, DMPs, part of Differentially methylated region In entertainment [ edit ] Demotivational poster Digital Manga Publishing ,

SECTION 10

#1732772138963

312-470: The 1970s and 1980s. Up until the early 2000s, DMPs were used "for projects of great technical complexity, and for limited mid-study data collection and processing purposes". In the 2000s and later, E-research and economic policies drove the development and uptake of DMPs. Preparing a data management plan before data are collected is claimed to ensure that data are in the correct format, organized well, and better annotated. This could arguably save time in

338-615: The Award and Administration Guide policy (see below). It may include the following: Policy summarized from the NSF Award and Administration Guide, Section 4 (Dissemination and Sharing of Research Results): Since 1995, the UK's Economic and Social Research Council (ESRC) have had a research data policy in place. The current ESRC Research Data Policy states that research data created as a result of ESRC-funded research should be openly available to

364-738: The ESRC's flagship data service, provides practical guidance on research data management planning suitable for social science researchers in the UK and around the world. ESRC has a longstanding arrangement with the UK Data Archive , based at the University of Essex , as a place of deposit for research data, with award holders required to offer data resulting from their research grants via the UK Data Service. The Archive enables data re-use by preserving data and making them available to

390-525: The aggregate system of DSPs (demand side platform) and SSPs (supply side platform). DMPs are integral for optimizing and future advertising campaigns. The main reason for maintaining data integrity is to support the observation of errors in the data collection process. Those errors may be made intentionally (deliberate falsification ) or non-intentionally ( random or systematic errors ). There are two approaches that may protect data integrity and secure scientific validity of study results: QA's focus

416-434: The contextual details, including any information important for using data. This may include descriptions of temporal and spatial details, instruments, parameters, units, files, etc. Metadata is commonly referred to as “data about data”. Issues to be considered include: Data management and preservation costs may be considerable, depending on the nature of the project. By anticipating costs ahead of time, researchers ensure that

442-406: The data collector. In the 2010s, funding agencies increasingly required data management plans as part of the proposal and evaluation process, despite little or no evidence of their efficacy. "There is no general and definitive list of topics that should be covered in a DMP for a research project", and researchers are often left to their own devices as to how to fill out a DMP. Metadata are

468-566: The data management plan following award and during the active phase of a study." At present, data sharing plans are more important than data management plans to funders. Pryor, Graham (2014). Delivering research data management services . Facet Publishing. ISBN   9781856049337 . Data collection Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection

494-417: The data will be properly managed and archived. Potential expenses that should be considered are The data management plan should include how these costs will be paid. All grant proposals submitted to National Science Foundation (NSF) must include a Data Management Plan that is no more than two pages. This is a supplement (not part of the 15-page proposal) and should describe how the proposal will conform to

520-534: The details can be carefully documented. There is a necessity for a clearly defined communication structure as a precondition for establishing monitoring systems. Uncertainty about the flow of information is not recommended, as a poorly organized communication structure leads to lax monitoring and can also limit the opportunities for detecting errors. Quality control is also responsible for the identification of actions necessary for correcting faulty data collection practices and also minimizing such future occurrences. A team

546-413: The field of or preference for defining data ( quantitative or qualitative ), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors . Data collection and validation consist of four steps when it involves taking

SECTION 20

#1732772138963

572-402: The integrity of individual user data collected by cloud computing , because this data is transferred across countries that have different standards of protection for individual user data. Information processing has advanced to the level where user data can now be used to predict what an individual is saying before they even speak. Since QC actions occur during or after the data collection, all

598-481: The long term because there is no need to re-organize, re-format, or try to remember details about data. It is also claimed to increase research efficiency since both the data collector and other researchers might be able to understand and use well-annotated data in the future. One component of a data management plan is data archiving and preservation. By deciding on an archive ahead of time, the data collector can format data during collection to make its future submission to

624-532: The research and teaching communities. There are three major themes identified in the literature in terms of benefits of DMPs: professional benefits, economic benefits and institutional benefits. It has been argued that DMPs can form a catalyst for researchers to improve their data literacy and data management practices, often aided by the library. In practice, however, DMPs often fall short of their stated goals. A 2012 review of DMP policies by research funders found that policies were missing several elements from

650-443: The scientific community to the maximum extent possible, through long-term preservation and high-quality data management. ESRC requires a data management plan for all research award applications where new data are being created. Such plans are designed to promote a structured approach to data management throughout the data lifecycle, resulting in better quality data that is ready to archive for sharing and re-use. The UK Data Service ,

676-622: The title DMP . If an internal link led you here, you may wish to change the link to point directly to the intended article. Retrieved from " https://en.wikipedia.org/w/index.php?title=DMP&oldid=1236898263 " Category : Disambiguation pages Hidden categories: Short description is different from Wikidata All article disambiguation pages All disambiguation pages Data management plan DMPs were originally used in 1966 to manage aeronautical and engineering projects' data collection and analysis, and expanded across engineering and scientific disciplines in

#962037