Research process and research data management. Many universities are looking at how they can better serve the needs of researchers. Ken Chad Consulting worked with the University of Westminster to look the needs and attitudes of researchers and admin staff in terms of research data management (RDM). The result led the University to look first at the whole lifecycle and workflows of research administration. This in turn led to the innovative, rapid development of a system to support researchers and admin staff. Presented by Suzanne Enright (University of Westminster) and Ken Chad at the annual UKSG conference in April 2014
Gather evidence to demonstrate the impact of your researchIUPUI
This workshop is the 3rd in a series of 4 titled "Maximize your impact" offered by the IUPUI University Library Center for Digital Scholarship. Faculty must provide strong evidence of impact in order to achieve promotion and tenure. Having strong evidence in year 5 is made easier by strategic dissemination early in your tenure track. In this hands-on workshop, we will introduce key sources of evidence to support your case, demonstrate strategies for gathering this evidence, and provide a variety of examples. These sources include citation metrics, article level metrics, and altmetrics as indicators of impact to support your narrative of excellence.
Research process and research data management. Many universities are looking at how they can better serve the needs of researchers. Ken Chad Consulting worked with the University of Westminster to look the needs and attitudes of researchers and admin staff in terms of research data management (RDM). The result led the University to look first at the whole lifecycle and workflows of research administration. This in turn led to the innovative, rapid development of a system to support researchers and admin staff. Presented by Suzanne Enright (University of Westminster) and Ken Chad at the annual UKSG conference in April 2014
Gather evidence to demonstrate the impact of your researchIUPUI
This workshop is the 3rd in a series of 4 titled "Maximize your impact" offered by the IUPUI University Library Center for Digital Scholarship. Faculty must provide strong evidence of impact in order to achieve promotion and tenure. Having strong evidence in year 5 is made easier by strategic dissemination early in your tenure track. In this hands-on workshop, we will introduce key sources of evidence to support your case, demonstrate strategies for gathering this evidence, and provide a variety of examples. These sources include citation metrics, article level metrics, and altmetrics as indicators of impact to support your narrative of excellence.
Presentation by Prof. Dr. Henning Müller.
Overview:
- Medical image retrieval projects
- Image analysis and 3D texture modeling
- Data science evaluation infrastructures (ImageCLEF, VISCERAL, EaaS – Evaluation as a Service)
- What comes next?
Spring 2014 Data Management Lab: Session 2 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
On April 11th 2016, Prof. Prof. Henning Müller (HES-SO Valais-Wallis and Martinos Center) presented Challenges in medical imaging and the VISCERAL model at National Cancer Institute in Washington.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
Introduction to research data management; Lecture 01 for GRAD521Amanda Whitmire
Lesson 1: Introduction to research data management. From a series of lectures from a 10-week, 2-credit graduate-level course in research data management (GRAD521, offered at Oregon State University).
The course description is: "Careful examination of all aspects of research data management best practices. Designed to prepare students to exceed funder mandates for performance in data planning, documentation, preservation and sharing in an increasingly complex digital research environment. Open to students of all disciplines."
Major course content includes: Overview of research data management, definitions and best practices; Types, formats and stages of research data; Metadata (data documentation); Data storage, backup and security; Legal and ethical considerations of research data; Data sharing and reuse; Archiving and preservation.
See also, "Whitmire, Amanda (2014): GRAD 521 Research Data Management Lectures. figshare. http://dx.doi.org/10.6084/m9.figshare.1003835. Retrieved 23:25, Jan 07, 2015 (GMT)"
This slideshow was used in an Introduction to Research Data Management course taught in the Social Sciences Division, University of Oxford, on 2014-01-27. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Keynote Address: Data Management Plan Requirements at the US Department of Energy
Laura J. Biven, Ph.D., Senior Science and Technology Advisor, Office of the Deputy Director for Science Programs, Office of Science, US Department of Energy
Big data is prevalent in our daily life. Not surprisingly, big data becomes a hot topic discussedby commercial worlds, media, magazines, general publics and elsewhere. From academic point of view, isit a research area of potential worth being explored? Or it is just another hype? Are there only computer orIS related scholars suitable for big data research due to its nature? Or scholars from other research areas are alsosuitable for this subject? This study aims to answer these questions through the use of informetricsapproach and data source form the SSCI Journal database, leveraging informetric‟s robust natures ofquantitative power of analyze information in any form onto the data source of representativeness. This research shows that big data research is at its growth phase with an exponential growth patternsince 2012 and with great potential for years to come. And perhaps surprisingly, computer or IS relateddisciplinesare not on the top 5 research areas fromthis research results. In fact, the top five research disciplinesare more diversified then expected: business economics (#1), Government Law (#2), InformationScience/ Library Science (#3), Social Science (#4) and Computer Science (#5). Scholars from the USuniversities are the most productive in this subject while Asian countries, including Taiwan, are alsovisible. Besides, this study also identifies that big data publications from SSCI journal database during2005-2015 do fit Lotka‟s law. This study contributes tounderstand the current big data research trends and also show the ways toresearchers who are interested to conduct future research in big data regardless of their research backgrounds.
A Model of Decision Support System for Research Topic Selection and Plagiaris...theijes
The paper proposes a model of the decision support system for deciding a research topic in academia. The biggest challenge for a student in the field of research is to identify area and topic of research. The paper explains the model which helps student to identify the most suitable area and/or topic for academic research. The model is also design to assist supervisors to explore latest areas of research as well as to get rid of non intentional plagiarism. The model facilitates the user to select either keyword bases topic search or questionnaire based topic search. The model uses local database and service of a Meta search engine in decision making activity
Presentation by Prof. Dr. Henning Müller.
Overview:
- Medical image retrieval projects
- Image analysis and 3D texture modeling
- Data science evaluation infrastructures (ImageCLEF, VISCERAL, EaaS – Evaluation as a Service)
- What comes next?
Spring 2014 Data Management Lab: Session 2 Slides (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
On April 11th 2016, Prof. Prof. Henning Müller (HES-SO Valais-Wallis and Martinos Center) presented Challenges in medical imaging and the VISCERAL model at National Cancer Institute in Washington.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
Introduction to research data management; Lecture 01 for GRAD521Amanda Whitmire
Lesson 1: Introduction to research data management. From a series of lectures from a 10-week, 2-credit graduate-level course in research data management (GRAD521, offered at Oregon State University).
The course description is: "Careful examination of all aspects of research data management best practices. Designed to prepare students to exceed funder mandates for performance in data planning, documentation, preservation and sharing in an increasingly complex digital research environment. Open to students of all disciplines."
Major course content includes: Overview of research data management, definitions and best practices; Types, formats and stages of research data; Metadata (data documentation); Data storage, backup and security; Legal and ethical considerations of research data; Data sharing and reuse; Archiving and preservation.
See also, "Whitmire, Amanda (2014): GRAD 521 Research Data Management Lectures. figshare. http://dx.doi.org/10.6084/m9.figshare.1003835. Retrieved 23:25, Jan 07, 2015 (GMT)"
This slideshow was used in an Introduction to Research Data Management course taught in the Social Sciences Division, University of Oxford, on 2014-01-27. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Keynote Address: Data Management Plan Requirements at the US Department of Energy
Laura J. Biven, Ph.D., Senior Science and Technology Advisor, Office of the Deputy Director for Science Programs, Office of Science, US Department of Energy
Big data is prevalent in our daily life. Not surprisingly, big data becomes a hot topic discussedby commercial worlds, media, magazines, general publics and elsewhere. From academic point of view, isit a research area of potential worth being explored? Or it is just another hype? Are there only computer orIS related scholars suitable for big data research due to its nature? Or scholars from other research areas are alsosuitable for this subject? This study aims to answer these questions through the use of informetricsapproach and data source form the SSCI Journal database, leveraging informetric‟s robust natures ofquantitative power of analyze information in any form onto the data source of representativeness. This research shows that big data research is at its growth phase with an exponential growth patternsince 2012 and with great potential for years to come. And perhaps surprisingly, computer or IS relateddisciplinesare not on the top 5 research areas fromthis research results. In fact, the top five research disciplinesare more diversified then expected: business economics (#1), Government Law (#2), InformationScience/ Library Science (#3), Social Science (#4) and Computer Science (#5). Scholars from the USuniversities are the most productive in this subject while Asian countries, including Taiwan, are alsovisible. Besides, this study also identifies that big data publications from SSCI journal database during2005-2015 do fit Lotka‟s law. This study contributes tounderstand the current big data research trends and also show the ways toresearchers who are interested to conduct future research in big data regardless of their research backgrounds.
A Model of Decision Support System for Research Topic Selection and Plagiaris...theijes
The paper proposes a model of the decision support system for deciding a research topic in academia. The biggest challenge for a student in the field of research is to identify area and topic of research. The paper explains the model which helps student to identify the most suitable area and/or topic for academic research. The model is also design to assist supervisors to explore latest areas of research as well as to get rid of non intentional plagiarism. The model facilitates the user to select either keyword bases topic search or questionnaire based topic search. The model uses local database and service of a Meta search engine in decision making activity
This paper discusses the several research methodologies that can
be used in Computer Science (CS) and Information Systems
(IS). The research methods vary according to the science
domain and project field. However a little of research
methodologies can be reasonable for Computer Science and
Information System.
Operational Research and Organizational SystemIJRES Journal
Organizational systems, as well as specific integration of social and technical systems are extremely important for the development of human society. The most part, the problems of managing these systems are reduced to operations research - a generic term for activities that define the processes involved in the functions of organizational systems, and hence the term operations research. Field of study operations research as a scientific discipline, the organizational processes and activities that are being carried out and an important determinant of the intention to find the best decisions in managing the operations undertaken to achieve the set goals of the system. The generality of operations research is reflected in the fact that apply to all types of organizational systems - commercial, industrial, agricultural, military, medical, educational, government, and the like. Users of operations research decision makers - managers, whose task is to efficiently and effectively manage organizational systems. In this paper we consider operational research and conceptual foundations that enable its effective use in solving the problem of organizational systems.
On November 21st 2014 at the Tufts University Medford campus and November 25th 2014 at the campus of the University of Massachusetts Medical School in Worcester, the BLC and Digital Science hosted a workshop focused on better understanding the research information management landscape.
Jonathan Breeze, CEO of Symplectic, reflected on the emergence of research information management systems and the resulting benefits they can provide.
A Comparative Study of Various Data Mining Techniques: Statistics, Decision T...Editor IJCATR
In this paper we focus on some techniques for solving data mining tasks such as: Statistics, Decision Trees and Neural
Networks. The new approach has succeed in defining some new criteria for the evaluation process, and it has obtained valuable results
based on what the technique is, the environment of using each techniques, the advantages and disadvantages of each technique, the
consequences of choosing any of these techniques to extract hidden predictive information from large databases, and the methods of
implementation of each technique. Finally, the paper has presented some valuable recommendations in this field.
Case Study Based Software Engineering Project Development: State of ArtDr Sukhpal Singh Gill
Publised in International Journal of Scientific Research in Computer Science Applications and Management Studies (IJSRCSAMS), Volume 2, Issue 3 (May 2013).
Step by Step Development of Software Project
An approach to learn Software Project Management Practically.
SDLC phases of Software Engineering
Project Completed at Thapar University, Patiala, Punjab, India.
Download Link:
http://arxiv.org/ftp/arxiv/papers/1306/1306.2502.pdf
http://www.ijsrcsams.com/images/stories/Past_Issue_Docs/ijsrcsamsv2i3p31.pdf
SRS of this Project can be downloaded from :
http://www.slideshare.net/sukhpalsinghgill/software-requirements-specification-srs-for-online-tower-plotting-system-otps
Similar to IRJET- Characteristics of Research Process and Methods for Web-Based Research Support Systems (20)
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.