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Research Data Management: Infographics illustrating the numbers driving the case for research data management

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The Numbers Research Data Management24/01/2017
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 2
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 3
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 4
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 5
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 6
The case for RDM in numbers 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 7
References & Acknowledgements 06/04/2017 Title of presentation (Insert > Header & Footer > Slide > Footer > Apply to all) 8 Abbreviated references University building —Designed by Freepik UK Map by Free Vector Maps http://freevectormaps.com 5.25-inch floppy disk – Mark Richards http://www.computerhistory.org/revolution/memory-storage/8/261/1084 The Mesh of Civilizations in the Global Network of Digital Communication - Bogdan State, Patrick Park, Ingmar Weber, Michael Macy http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0122543 Money Machine - www.tradingacademy.com Guest Publication, Tobias von der Haar https://www.flickr.com/photos/yeaki/6961051384/ Full Moon, Gregory H. Revera https://commons.wikimedia.org/wiki/File:FullMoon2010.jpg Size comparison of an average human and a blue whale, Chris Huh https://commons.wikimedia.org/wiki/File:Blue_whale_size.png?uselang=en-gb Acknowledgements 90% of the world’s data has been created within the last two years & 2.5 Billion GB of new data is generated every day [https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html]; 450 PB of research data is held in UK universities [https://figshare.com/articles/Estimating_Research_Data_Volumes_in_UK_HEI/1575831]; 500,000 research datasets in the Figshare repository [https://figshare.com/about];$3 trillion estimated value of open data to the world economy [http://www.mckinsey.com/business-functions/business-technology/our-insights/open-data-unlocking- innovation-and-performance-with-liquid-information]; 500,000 employees working in UK companies built on open data [http://theodi.org/the-value-of-open-data];182,000 new data-related jobs created in the UK by 2020 [http://www.cbronline.com/news/big-data/analytics/big-data-analytics-and-iot-set-to-create-182000-uk-jobs-in-the-next-four-years-4825602]; <50% of clinical trial results are currently published and shared [http://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2565686 via http://www.alltrials.net/]; Only 1/3 of findings in high-ranked Psychology journal papers can currently be reproduced [http://science.sciencemag.org/content/349/6251/aac4716.full?ijkey=1xgFoCnpLswpk&keytype=ref&siteid=sci]; Only 11% of results in ‘landmark’ oncology papers can be replicated [http://www.nature.com/nature/journal/v483/n7391/full/483531a.html];Only 20% of scientific data from the 1990s is still available [http://dx.doi.org/10.1016/j.cub.2013.11.014]; 50% of researchers are already sharing data [http://exchanges.wiley.com/blog/2014/11/03/how-and-why-researchers-share-data-and-why-they-dont/]; Over half of the top-ranked science and social science journals either mandate or strongly suggest researchers share the data that relates to the publication [http://insights.uksg.org/articles/10.1629/uksg.284/]; 61% of recent papers funded by the Engineering and Physical Sciences Research Council were linked to the underlying research data in an easy-to-access-form [https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=RESEARCH-DATAMAN;f963a37.1605]; 75% of researchers strongly favour formal citation of data as a reuse indicator [http://www.nature.com/articles/sdata201539]; 8 Great Technologies built upon data [https://www.gov.uk/government/publications/eight-great-technologies-infographics];£26 billion UK government investment in research and scientific infrastructure over the next 5 years {https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/505308/bis-16-160- allocation-science-research-funding-2016-17-2019-20.pdf]; 10:1 return on investment from Research Councils UK [http://www.rcuk.ac.uk/media/brief/business/]; $1 trillion contribution to the US economy from open research data arising from the human genome project [http://www.nature.com/news/economic-return-from-human-genome-project-grows-1.13187]; £100 million per annum wider benefit to the UK as a result of the UK Data Service [http://www.efficiencyexchange.ac.uk/7426/the-uk-data-service-best-practice-in-efficiency-effectiveness-and-value-for-money/] £920 million per annum estimated return on investment on future research enabled by the European Bioinformatics Institute [http://www.beagrie.com/static/resource/EBI-impact-report.pdf]; In 2013 the world generated about 3.5 zettabytes of data [http://www.techradar.com/news/computing-components/storage/the-data-capacity-gap-why-the-world-is-running-out-of-data-storage- 1284024]

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Sharing Big Data - Bob JonesSharing Big Data - Bob Jones
Sharing Big Data - Bob Jones
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Research data explored II: the Anatomy and Reception of figshare by Open Knowledge Maps, has 23 slides with 1207 views.Presentation at the 20th International Conference on Science and Technology Indicators (STI 2015) in Lugano. Full citation: Kraker, P., Lex, E., Gorraiz, J., Gumpenberger, C., & Isabella. (2015). Research Data Explored II : the Anatomy and Reception of figshare. In 20th International Conference on Science and Technology Indicators. Online at: http://arxiv.org/abs/1503.01298
Research data explored II: the Anatomy and Reception of figshareResearch data explored II: the Anatomy and Reception of figshare
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Presentation ADEQUATe Project: Workshop on Quality Assessment and Improvement...Presentation ADEQUATe Project: Workshop on Quality Assessment and Improvement...
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ICIC 2014 New Product Presentations ChemAxon ICIC 2014 New Product Presentations ChemAxon
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International Journal of Data mining Management Systems (IJDMS)International Journal of Data mining Management Systems (IJDMS)
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UKSG 2018 Plenary - Internal conflict or growth opportunity? Publisher approa... by UKSG: connecting the knowledge community, has 27 slides with 322 views.- Internal Conflict or Growth Opportunity?: How Publishers are Transitioning to OA discusses how Taylor & Francis is transitioning many of its journals from traditional subscription models to open access models through conversions, acquisitions, and launching new open access titles. - Taylor & Francis has converted 27 subscription titles to open access in 2017-2018 and sees acquisitions of other publishers as opportunities to expand their open access portfolio. However, converting journals can cause tensions like a 61% drop in submissions for converted titles. - Taylor & Francis is piloting different open access models like transformational agreements with institutions to manage this transition, but continuing advocacy remains important to support editors through the changes. Data monitoring is also key to inform their
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Neue Lösungen für Life Sciences und die Pharmaindustrie mit GraphdatenbankenNeue Lösungen für Life Sciences und die Pharmaindustrie mit Graphdatenbanken
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ICIC 2014 New Product Introduction InfoChem by Dr. Haxel Consult, has 16 slides with 1725 views.This document summarizes Valentina Eigner-Pitto's product presentation at the ICIC conference in Heidelberg on October 12-15, 2014. It discusses InfoChem's software, services, and content products for chemical information management and publishing workflows, including full-text annotation, CDX scheme processing, and reaction prediction software ICSYNTH. The presentation highlights case studies with Wiley and Springer integrating these tools.
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Research data explored II: the Anatomy and Reception of figshare by Open Knowledge Maps, has 23 slides with 1207 views.Presentation at the 20th International Conference on Science and Technology Indicators (STI 2015) in Lugano. Full citation: Kraker, P., Lex, E., Gorraiz, J., Gumpenberger, C., & Isabella. (2015). Research Data Explored II : the Anatomy and Reception of figshare. In 20th International Conference on Science and Technology Indicators. Online at: http://arxiv.org/abs/1503.01298
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Ai based analytics in the cloudAi based analytics in the cloud
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Analysis of Rework and Rescheduling in Construction Project using SPSS SoftwareAnalysis of Rework and Rescheduling in Construction Project using SPSS Software
Analysis of Rework and Rescheduling in Construction Project using SPSS Software
ijtsrd
5 slides•174 views
Innovate2014 ea 1833 by Paulo Lacerda, has 43 slides with 655 views.This document discusses Petrobras' IT architecture blueprint framework. It provides background on Petrobras as a large Brazilian energy company. It then describes Petrobras' IT organization and challenges in rationalizing applications and aligning IT with business needs. The framework uses architecture blueprints created with tools like IBM Rational System Architect to guide decisions around demand management, budget planning, and delivering solutions while improving customer perception of IT. The blueprints analyze current and future states using matrices and diagrams. The framework and blueprint approach have helped improve IT planning, communication, and the business view of IT value.
Innovate2014 ea 1833Innovate2014 ea 1833
Innovate2014 ea 1833
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Information Architecture class12 04 03 by Marti Gukeisen, has 35 slides with 681 views.This document discusses information architecture deliverables for an information architecture project. It provides examples of typical deliverables like interactive objectives, a feature list, high-level IA diagrams, wireframes, clickable prototypes, content models, and more. It also discusses who would be interested in each deliverable and how deliverables are presented and approved throughout the project process.
Information Architecture class12 04 03Information Architecture class12 04 03
Information Architecture class12 04 03
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RD shared services and research data spring by Jisc RDM, has 27 slides with 234 views.Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.
RD shared services and research data springRD shared services and research data spring
RD shared services and research data spring
Jisc RDM
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#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17 by ARDC, has 19 slides with 461 views.Margie Smith Full Webinar: https://youtu.be/EDhJTCm9RN8 Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-4-fair-r-for-reusable Other webinars in the series: http://www.ands.org.au/news-and-events/events/fair-webinar-series
#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17
#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17
ARDC
19 slides•461 views
Slides With Quad Chart Templates by Texas State University SBDC, has 14 slides with 6766 views.Master slides from the "Making the Most of the SBIR/STTR Conference in Austin" webinar on October 31, 2014. The slides used during the webinar were in a slightly different format, but this is the same content and this version includes the Quad Chart Templates.
Slides With Quad Chart TemplatesSlides With Quad Chart Templates
Slides With Quad Chart Templates
Texas State University SBDC
14 slides•6.8K views
Data management policies by Sarah Jones, has 15 slides with 3107 views.This document provides an introduction to data management policies, outlining key drivers and requirements from funders and institutions. It discusses trends toward more open data sharing and long-term preservation. Guidelines are presented for developing data management and sharing plans, as required by most major research funders. Support resources are listed to help researchers create plans and properly manage their data.
Data management policiesData management policies
Data management policies
Sarah Jones
15 slides•3.1K views
The Project Description.The project at hand is to install .docx by oreo10, has 13 slides with 9 views.The Project Description. The project at hand is to install an information system at Charlotte Bridge home (CBH, 2017). The main aim is to automate the communication and record keeping process in the organization. This is meant to improve the efficiency and accuracy of data and information management in the organization in the long run. What will need to happen? The first step, in this case, is to know the needs regarding the information, both of the external and internal parties in the organization. Secondly, explain the objective of the new systems to the stakeholders, especially the employees. The third step is to determine the sources of information. For example, commercial and government publications, files, statistical papers, and accounts. The fourth step is to set the method of collection and classification of information, followed by determining the method of giving information. The final step is initiation and evaluation of the installed information system in the organization. Who will do it? Information technology experts will be availed to carry out the installation, testing, and evaluation of the system. This is to achieve a high level of accuracy and professionalism within the budget. Will things need to be purchased? Cables need to be purchased, and servers installed, reliable antivirus for protection, firewall, technologically advanced computers and laptops to be used. How will you identify the seller? The seller will be identified based on the products which are needed. For example, considering that this process is information technology related, the seller must be dealing in commodities on the same line. Quality should also be considered while purchasing (CBH, 2017). Reference Charlotte Bridge Home. (2017). Making Veterans and Communities Stronger. Together.    Retrieved from:https://www.charlottebridgehome.org/ Running head: ANNUAL FINANCIAL PLAN 1 ANNUAL FINANCIAL PLAN 4 Annual Financial Plan Pauline Gordon Bellevue University ANNUAL FINANCIAL PLAN Line item budget For this request Direct costs Direct labor 3,000 Supplies 7,000 Fringe (20%) 600 Travel 2,000 Contractual 400 Materials 4,000 Indirect costs Accounting 2,000 Human resource 4,000 Professional Remuneration 2,200 Administrative costs (10% of total) 2,800 Total 28,000 Budget Justification 1. Direct labor. Direct labor, will take up to $3000 for project completion to be realized. This is part of the total budget allocated for the Charlotte bridge home project (CBH, 2017). 2. Supplies. Supplies involve availing all required materials for the project to commence, and the installation of each material to realize project completion, which will take $7000. 3. Fringe (20%). Includes all benefits employees are entitled to and has been allocated $600, which is 20% of the labor costs paid to workers. 4. Travel. Travel costs are bound to be present during the project, whic ...
The Project Description.The project at hand is to install .docxThe Project Description.The project at hand is to install .docx
The Project Description.The project at hand is to install .docx
oreo10
13 slides•9 views
Data-driven leadership culture by Juuso Parkkinen, has 18 slides with 742 views.Firms that adopt data-driven decision making have 5-6% higher productivity than comparable firms. Making data visible, understanding customers through data, and using data for automatic recommendations can help implement a data-driven culture. However, a lack of clear use cases, silos, unrealistic expectations, and focusing on IT instead of business goals can undermine data-driven efforts. Building a data-driven culture requires aligning data use with business goals, accepting complexity, encouraging experiments, and being transparent to break down silos.
Data-driven leadership cultureData-driven leadership culture
Data-driven leadership culture
Juuso Parkkinen
18 slides•742 views
Big data/Hadoop/HANA Basics by Global Business Solutions SME, has 36 slides with 5076 views.Summary of three National webinars. Three V's, market, Functional areas showing most traction, Hot Revenue/ROI areas, Architecture options and using Use cases to overcome objections.,
Big data/Hadoop/HANA BasicsBig data/Hadoop/HANA Basics
Big data/Hadoop/HANA Basics
Global Business Solutions SME
36 slides•5.1K views
Certified Big Data Science Analyst (CBDSA) by GICTTraining, has 7 slides with 37 views.GICT Certified Big Data Science Analyst (CBDSA) course helps individuals to understand the complete Big Data Technologies stack.
Certified Big Data Science Analyst (CBDSA)Certified Big Data Science Analyst (CBDSA)
Certified Big Data Science Analyst (CBDSA)
GICTTraining
7 slides•37 views
Acs cloud computing sig 04 june2013 by Roland Padilla, has 13 slides with 583 views.This document contains summaries of several sources related to cloud computing in Australia. It discusses the Australian government's national cloud computing strategy announced by Communications Minister Stephen Conroy at CeBIT 2013. The strategy aims to promote cloud adoption among government agencies, small businesses, and consumers. It also seeks to support the cloud services sector through skills development, competition, and R&D. The Australian Computer Society welcomed the strategy and said it will help policymakers address opportunities and challenges in the digital economy. The document also provides context about the presenter's PhD research which examines a framework for measuring service value in cloud computing.
Acs cloud computing sig 04 june2013Acs cloud computing sig 04 june2013
Acs cloud computing sig 04 june2013
Roland Padilla
13 slides•583 views
Ark Product and Process Design v3 Ark Process Metrics by Brij Consulting, LLC, has 37 slides with 71 views.Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale and Reclaiming Legacy with Advance Science... Modeled in Financial Planning
Ark Product and Process Design v3 Ark Process MetricsArk Product and Process Design v3 Ark Process Metrics
Ark Product and Process Design v3 Ark Process Metrics
Brij Consulting, LLC
37 slides•71 views
Data Mining of Project Management Data: An Analysis of Applied Research Studies. by Gurdal Ertek, has 8 slides with 372 views.Data collected and generated through and posterior to projects, such as data residing in project management software and post project review documents, can be a major source of actionable insights and competitive advantage. This paper presents a rigorous methodological analysis of the applied research published in academic literature, on the application of data mining (DM) for project management (PM). The objective of the paper is to provide a comprehensive analysis and discussion of where and how data mining is applied for project management data and to provide practical insights for future research in the field. https://dl.acm.org/citation.cfm?id=3176714 https://ertekprojects.com/ftp/papers/2017/ertek_et_al_2017_Data_Mining_of_Project_Management_Data.pdf
Data Mining of Project Management Data: An Analysis of Applied Research Studies.Data Mining of Project Management Data: An Analysis of Applied Research Studies.
Data Mining of Project Management Data: An Analysis of Applied Research Studies.
Gurdal Ertek
8 slides•372 views
SAS - the world leader in medical data processing by Oleksandr Terentiev, has 15 slides with 280 views.The presentation is dedicated to the review of the Ukrainian market of outsourcing statistical services for pharma companies.
SAS - the world leader in medical data processingSAS - the world leader in medical data processing
SAS - the world leader in medical data processing
Oleksandr Terentiev
15 slides•280 views
Data science workflow v1.1 by Jessie_N, has 30 slides with 693 views.The document outlines a data science workflow including establishing a data science project lifecycle, assembling an effective multidisciplinary team to take on different roles, and setting up a standardized project structure and folder system to organize code, data, documentation, and deliverables. It advocates using an agile, iterative process to improve collaboration among team members throughout the data science pipeline from data acquisition and exploration to modeling, deployment, and customer acceptance.
Data science workflow v1.1Data science workflow v1.1
Data science workflow v1.1
Jessie_N
30 slides•693 views
TaskYou are required to prepare for this Assessment Item by1..docx by bradburgess22840, has 37 slides with 13 views.Task You are required to prepare for this Assessment Item by: 1. READING the Subject outline, 2. COMPLETING Topic 2 Project Planning 3. BUILDING your PLAN up from the  ProjectTitle and Abstract in Assessment Task 1 WHAT TO DO: 1. Follow the Study Schedule and work with the Topics in Interact as they provide a "scaffold" for your learning in this subject. 2. Develop a detailed Capstone Project Proposal and Plan using project management software (as listed in the Study Schedule) and the skills you have acquired from IT Project Management to develop a project plan with a Work Breakdown Structure (WBS), milestones and Gantt chart. These tools may help. 1. MicrosoftProject Pro (http://office.microsoft.com/en-au/project/); 2. Open source tools like GanttProject (http://www.ganttproject.biz/); 3. OpenProj(http://sourceforge.net/projects/openproj/) 4. OpenProject (https://www.openproject.org/about). 5. ProjectLibre (http://www.projectlibre.org/) 3. Begin using the 'project blog' as a tool beyond the weekly progress reportsfor your chosen emerging technology topic: 1. The blog helps you to "think by writing" and also store your notes, project files and links in a cloud-based service. 2. Consider sharing the site with your peers as a way to tell a story and harness each other’s knowledge. 4. The blog is ideally updated each week with 3 or 4 entries for documenting your project notes and as the foundation for editing and writing the Capstone Project Report. An ideal blog entry will have around 50-150 words (150-600 words a week). Presentation Project Plan Sample Format (subject to change or modified to include systems development projects) 1. Title: Emerging Technology and Innovation Topic 1. Project Blog ( Web address provided) 2. Weekly Progress Reports Plan (In class, Discussion Board or Project Blog entries) 2. Rationale 1. Problem domain 2. Purpose and justification 3. Supervisor Approval 4. Research Questions 5. Conceptual or Theoretical Framework 6. Methodology 1. Analysis of sources of information (EndNote, APA Referencing Style) 2. Research method(s) 3. Data collection or systems design methods 4. Ethical Issues 5. Compliance Requirements (Workplace, Industry or Government regulations) 7. Project Plan 1. Deliverables (Annotated Bibliography, Journal Paper, Report, Seminar) 2. Work breakdown structure (WBS) 3. Risk Analysis 4. Duration 5. Gantt chart 8. References 9. Appendix (if required) Final project Formulating Strategic Management Decisions This final project is based on the following Harvard Business case study: Khachatryan, D. (2014). Amarcord Incorporated: Combating money laundering using data analytics. Harvard Business Case Study. Retrieved from https://hbsp.harvard.edu/tu/789925b5 Assume your client accepted your urgent business proposal to design a data-driven approach to effectively accomplish the goal of fraud detection in financial institutions. Data analytics for fraud detection in financial institutions is the strat.
TaskYou are required to prepare for this Assessment Item by1..docxTaskYou are required to prepare for this Assessment Item by1..docx
TaskYou are required to prepare for this Assessment Item by1..docx
bradburgess22840
37 slides•13 views
TaskYou are required to prepare for this Assessment Item by1..docx by deanmtaylor1545, has 37 slides with 30 views.Task You are required to prepare for this Assessment Item by: 1. READING the Subject outline, 2. COMPLETING Topic 2 Project Planning 3. BUILDING your PLAN up from the  ProjectTitle and Abstract in Assessment Task 1 WHAT TO DO: 1. Follow the Study Schedule and work with the Topics in Interact as they provide a "scaffold" for your learning in this subject. 2. Develop a detailed Capstone Project Proposal and Plan using project management software (as listed in the Study Schedule) and the skills you have acquired from IT Project Management to develop a project plan with a Work Breakdown Structure (WBS), milestones and Gantt chart. These tools may help. 1. MicrosoftProject Pro (http://office.microsoft.com/en-au/project/); 2. Open source tools like GanttProject (http://www.ganttproject.biz/); 3. OpenProj(http://sourceforge.net/projects/openproj/) 4. OpenProject (https://www.openproject.org/about). 5. ProjectLibre (http://www.projectlibre.org/) 3. Begin using the 'project blog' as a tool beyond the weekly progress reportsfor your chosen emerging technology topic: 1. The blog helps you to "think by writing" and also store your notes, project files and links in a cloud-based service. 2. Consider sharing the site with your peers as a way to tell a story and harness each other’s knowledge. 4. The blog is ideally updated each week with 3 or 4 entries for documenting your project notes and as the foundation for editing and writing the Capstone Project Report. An ideal blog entry will have around 50-150 words (150-600 words a week). Presentation Project Plan Sample Format (subject to change or modified to include systems development projects) 1. Title: Emerging Technology and Innovation Topic 1. Project Blog ( Web address provided) 2. Weekly Progress Reports Plan (In class, Discussion Board or Project Blog entries) 2. Rationale 1. Problem domain 2. Purpose and justification 3. Supervisor Approval 4. Research Questions 5. Conceptual or Theoretical Framework 6. Methodology 1. Analysis of sources of information (EndNote, APA Referencing Style) 2. Research method(s) 3. Data collection or systems design methods 4. Ethical Issues 5. Compliance Requirements (Workplace, Industry or Government regulations) 7. Project Plan 1. Deliverables (Annotated Bibliography, Journal Paper, Report, Seminar) 2. Work breakdown structure (WBS) 3. Risk Analysis 4. Duration 5. Gantt chart 8. References 9. Appendix (if required) Final project Formulating Strategic Management Decisions This final project is based on the following Harvard Business case study: Khachatryan, D. (2014). Amarcord Incorporated: Combating money laundering using data analytics. Harvard Business Case Study. Retrieved from https://hbsp.harvard.edu/tu/789925b5 Assume your client accepted your urgent business proposal to design a data-driven approach to effectively accomplish the goal of fraud detection in financial institutions. Data analytics for fraud detection in financial institutions is the strat.
TaskYou are required to prepare for this Assessment Item by1..docxTaskYou are required to prepare for this Assessment Item by1..docx
TaskYou are required to prepare for this Assessment Item by1..docx
deanmtaylor1545
37 slides•30 views
Ark Product and Process Design v2 Design Metrics by Brij Consulting, LLC, has 27 slides with 89 views.Advantages to Industrial Physics and Digital Portals in Developing Green Technology and Remote Building, increasing Industrial Scale and Reclaiming Legacy with Advance Science... Modeled in Financial Planning
Ark Product and Process Design v2 Design MetricsArk Product and Process Design v2 Design Metrics
Ark Product and Process Design v2 Design Metrics
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27 slides•89 views
Ai based analytics in the cloud by Svetlin Stanchev, has 30 slides with 179 views.Even if you have terabytes of business data, it might not be easy to apply AI-based analytics to it. The bottleneck is often Machine Learning (ML) expertise and scalable infrastructure. We'll first look at how you can access vast amounts of data from the data warehouse directly in a Google Sheet. Then, you'll see how it's possible to train custom ML models with that data, without ever leaving the spreadsheet. Speaker: Karl Weinmeister Google Cloud AI Advocacy Manager
Ai based analytics in the cloudAi based analytics in the cloud
Ai based analytics in the cloud
Svetlin Stanchev
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Analysis of Rework and Rescheduling in Construction Project using SPSS Software by ijtsrd, has 5 slides with 174 views.Rework is a primary contributor to time wastage and time table overruns which eventually impact on cost, assets and quality. Finding the foremost reasons rescheduling will be done. P. Haritha | Dr. K. Vidhya "Analysis of Rework and Rescheduling in Construction Project using SPSS Software" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30930.pdf Paper Url :https://www.ijtsrd.com/engineering/civil-engineering/30930/analysis-of-rework-and-rescheduling-in-construction-project-using-spss-software/p-haritha
Analysis of Rework and Rescheduling in Construction Project using SPSS SoftwareAnalysis of Rework and Rescheduling in Construction Project using SPSS Software
Analysis of Rework and Rescheduling in Construction Project using SPSS Software
ijtsrd
5 slides•174 views
Innovate2014 ea 1833 by Paulo Lacerda, has 43 slides with 655 views.This document discusses Petrobras' IT architecture blueprint framework. It provides background on Petrobras as a large Brazilian energy company. It then describes Petrobras' IT organization and challenges in rationalizing applications and aligning IT with business needs. The framework uses architecture blueprints created with tools like IBM Rational System Architect to guide decisions around demand management, budget planning, and delivering solutions while improving customer perception of IT. The blueprints analyze current and future states using matrices and diagrams. The framework and blueprint approach have helped improve IT planning, communication, and the business view of IT value.
Innovate2014 ea 1833Innovate2014 ea 1833
Innovate2014 ea 1833
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Information Architecture class12 04 03 by Marti Gukeisen, has 35 slides with 681 views.This document discusses information architecture deliverables for an information architecture project. It provides examples of typical deliverables like interactive objectives, a feature list, high-level IA diagrams, wireframes, clickable prototypes, content models, and more. It also discusses who would be interested in each deliverable and how deliverables are presented and approved throughout the project process.
Information Architecture class12 04 03Information Architecture class12 04 03
Information Architecture class12 04 03
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RD shared services and research data spring by Jisc RDM, has 27 slides with 234 views.Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.
RD shared services and research data springRD shared services and research data spring
RD shared services and research data spring
Jisc RDM
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#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17 by ARDC, has 19 slides with 461 views.Margie Smith Full Webinar: https://youtu.be/EDhJTCm9RN8 Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-4-fair-r-for-reusable Other webinars in the series: http://www.ands.org.au/news-and-events/events/fair-webinar-series
#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17
#4 FAIR - Provenance as an element of FAIR data principles - 20-09-17
ARDC
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Slides With Quad Chart Templates by Texas State University SBDC, has 14 slides with 6766 views.Master slides from the "Making the Most of the SBIR/STTR Conference in Austin" webinar on October 31, 2014. The slides used during the webinar were in a slightly different format, but this is the same content and this version includes the Quad Chart Templates.
Slides With Quad Chart TemplatesSlides With Quad Chart Templates
Slides With Quad Chart Templates
Texas State University SBDC
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Data management policies
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Data management policies
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The Project Description.The project at hand is to install .docx
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Research Data Management: Infographic

Editor's Notes

  • #2: Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide (click ‘Apply’ to change only the currently selected slide, or ‘Apply to All’ to change the footers on all slides). To change the image on this slide: Click once on the image to select it, and then delete it Drag a replacement picture to the placeholder or click the icon in the centre of the placeholder to browse for & add another image Once you have added your replacement image, you may need to put it into the background so that it doesn’t cover other items on the slide. Do this by right-clicking on the new image and choosing ‘Arrange’ > ‘Send to Back’ from the contextual menu Once added, the image can be cropped, resized or repositioned to suit.