The course is also translated into Chinese via a collaboration with National Taiwan University. In this context, the main aim of this study is to collect preliminary information for . Step 3. EU-funded FOSTER portal for webinars and training material on data-management. Topics covered by the course research data explained data management plans organising data file formats and transformation documentation and metadata storage and security This training will present RCR throughout the research data lifecycle via the lens of data management and sharing principles and practices. Become THE Clinical Research Expert and get full access all training courses at a reduced price. It was created in a collaboration between the U.S. Geological Survey's Community for Data Integration, the Earth Sciences Information Partnership (ESIP), and DataONE.. For questions or feedback, please contact [email protected] Dorris Scott, PhD, social science data curator and geographic information services (GIS) librarian, will provide recommendations for useful resources and tools. The Train-the-Trainer workshops on RDM are based on a comprehensive concept, which contains presentation slides, flipchart templates, worksheets, and scripts ( Biernacka et al. Training Facilitators: Plato Smith, DMCWG. The Data Lifecycle Model shown here was developed by a USGS team to illustrate how data management activities relate to data workflows and to assist with understanding the expectations of proper data management. MANTRA is a self-paced online course covering the essentials of research data management. Data Management Training (DMT) Clearinghouse The Data Management Training (DMT) Clearinghouse is a registry of online learning resources focusing on research data. Come join the discussion - we look forward to seeing you in the autumn training sessions! While training of data management skills for researchers has been established in many universities, courses for students are still very rare. Digital curation training for all. The participants will be exposed to Mobile Based Data collection using ODK , use of Ms-Excel and Statistical analysis software of interest (Stata/SPSS/R). Each of the 22 learning units (see Figure 1) is described in detail in the concept. The Library has organized a follow-up online training on the Research Data Management System (Friday, April 22, 2022, from 10 am to 12 pm).This training will be a key part of the Annual Library Open Day & Academic Integrity Event scheduled to start on the 20th to end on the 22nd of April 2022.. ICPSR is an international consortium of more than 750 academic institutions and research organizations and provides training in data access, curation, and methods of analysis for the social science research community. It is . KE Research Data Management REDCap coordinator at [email protected]. The combination of clinical research and data management is a comprehensive training course intended to deliver training in the fundamentals of clinical research, clinical trial processes and clinical data management. Research Data MANTRA MANTRA is a free online course for those who manage digital data as part of their research project. Improve your learning skills with training offered by the ANU Library and discover ways to boost your research impact. Step 4. Explore topics such as open science and data science, data curation and documentation, data security, storage and preservation, and data sharing and publishing. In-depth consideration of the role of this documentation is offered through . . Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. : DataONE Education DataONE is committed to educating the community about data stewardship, including outlining best practices for data management, providing educational materials for use by those that support researchers, and . The Research and Innovation Services office of Research Development Services offers workshops and consulting to support researchers develop grant proposals. A registry of Data management online learning resources. COURSERA Data Management for Clinical Research Online Course. Review and approval of data types and methods for high-assurance data management will be required before provisioning. The participants will be exposed to Mobile Based Data collection using ODK, use of Ms-Excel and Statistical analysis software of interest (Stata/SPSS/R). Format variables as columns and data values as rows; Use plain ASCII text for file and variable names, and data values; All data values in a column should be of one type (text, numeric, etc.) Effective data management is an important part of ensuring open access to publicly funded research data. Documenting your research data is a prerequisite for data sharing and your own use of your data in the future. On Tuesday 19 April 2022 (15h-17h CEST), the KU Leuven Research Coordination Office (DOC) will be offering a training on incorporating FAIR data principles into a data management plan (DMP). Duke IT Services and Tools supporting data management: Duke Library Center for Data and Visualization Sciences provides data management consulting services and instruction that support data-driven research. The Research Data Management Service seeks to support researchers undertaking research data management activities. EIFL supported KTU Library to develop a Moodle . Research Data Management Training - On Demand* For more information on this course, or to schedule, please contact the NNLM Training Office at nto@utah.edu. Data Services trainings on data acquisition, management, DMPs for grants, sharing, and ownership can be integrated with research ethics and research methods seminars, or as stand-alone . Plan: Planning can include reviewing existing data sources, addressing informed consent, considering costs . Data management activities contribute to organizing, documenting . Documenting Your Research Data. The course "Research Data Management" introduces participants to strategies, processes, and measures required to assure the quality, understandability, and (re)usability of research data from an Open Science and Open Data perspective. When senstive data are used, the DMP . Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It describes the type of data you use for your research, how are collected, organized, and stored, and what formats you use. Issues relating to data . Clinnovo is the best training institute I have come across so far for Clinical Research training. In regards to training, the communication of benefits and reaching . 2018 ). The focus of this approach increases researchers' interest and allows for more specific guidance. The course provides basic knowledge and skills for librarians interested in. 214 Students. Not only is replicability of research data and research findings considered an integral part of good . Information Security: Globus can be used to build research data management applications and workflows to use with protected (high risk) data. The course is an 8-week online class with engaging lessons and practical activities, and . The guiding principle here is 'as open as possible, as closed as necessary.' In the online Research Data Management training, you will look at all research phases from the perspective of security, sustainability and openness of research data. Module 1: Background and Learning Objectives. This brings additional data management challenges for providing shared storage, access and the transfer of research data across the various partners or institutions. ; Duke's Research Data Repository is available to anyone with a NetID for long-term archiving and open sharing of research data. The free modules are useful for researchers and non librarians as well. A Data Management Plan, or DMP (sometimes also called a data sharing plan ), is a formal document that outlines what you will do with your data during and after a research project. Overview training & workshops Online training 'Learn how to write your DMP' Free course on Coursera: "This course will provide learners with an introduction to research data management and sharing. The Data Management Association or DAMA, defines data management as "the development of architectures, policies, practices, and procedures to manage the data lifecycle." To put it in simpler, everyday terms, data management is the process of collecting, keeping, and using data in a cost-effective, secure, and efficient manner. ESIP data management training. up to one year full of learninig. Research data management involves the active organization and maintenance of data throughout the research process, and suitable archiving of the data at the project's completion. This workshop provides an introduction to Data Management: what is digital research data and why does it need to be managed? Walk-in hours & Workshops - Research Data Management Support - Utrecht University Walk-in hours & Workshops To learn more about how to manage your research data, researchers, students and support staff can follow our online training and (tailored) workshops. Data management planning. @ Research data management (RDM) open training materials : Laura Molloy curates a collection of openly accessible online training materials which can be shared and repurposed for RDM training. To arrange for individual consultations, email datamanagement@drexel.edu About this Course. It is designed for doctoral students and other researchers. Understanding and implementing solid data management principles is critical for any scientific domain. These training aims introduce and enhance the participants' knowledge of research design & methodology, data management and analysis, inferences and reporting of research findings. ; Duke Research Computing provides consulting services for . Experience the full power of the VIARES Clinical Research training courses including career tips and tricks to get you ready to apply for your dream job. Updated 29 Aug 2018 Course Description Health sciences librarians are invited to participate in a rigorous online biomedical and health research data management training course, sponsored by the National Library of Medicine (NLM) and the National Network of Libraries of Medicine Training Office (NTO). After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Data management planning from the beginning of a research project helps to outline how data will be collected, formatted, described, stored and shared throughout, and beyond, the project lifecycle. Email research-datamanagement@glasgow.ac.uk if you'd like us to review or . Data Management Training (DMT) Clearinghouse. Good documentation helps your data be discoverable, understood, and trusted by others. The primary goal of this course is to improve your knowledge and skills in research data management and enable you to add or enhance research data management training and services at your institution. All in one. Module 4: Steps Towards Good Research Data Management. The software can be used via a graphical user interface (where users interact with menus, icons and dialog boxes . COLLECT & CREATE: Organization and integration of data sets and collection processes. PLAN & DESIGN: Plan processes from onboarding to project closure and data resources. Research Data Management: Education & training Research data is loosely defined as information collected, observed, or created for purposes of analysis to produce original research. Learning Units: Select one to start Rate MANTRA (266 Votes) Research data in context > Types of research data Why managing data is important Challenges of data in society Data management planning > Spring 2017 - Training Workshops. Research Data Management On Demand is made up of four stand-alone classes that introduce principles and practices of research data management. Please view our individual modules for the training "Documenting Your Research Data" to learn documentation best . Clinical Data Management (CDM) is a process in Clinical Research, where it leads to the generation of high-quality, reliable, and statistically sound data from clinical trials. Research data management. A key stage in preparing and delivering a research project is to outline how digital materials will be processed, analysed and generally handled. This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. This course will cover the following topics: Understanding research data, Data management planning, Working with data, Sharing data and Archiving data. 23 data things. Research Data Management Training - On Demand 4 free, 4-credit hour courses cover the five skill areas of the MLA Data Services Specialization (DSS) Basic Level. These training aims introduce and enhance the participants' knowledge of research design & methodology, data management, analysis, inferences and reporting of research findings. Since February 2014, the ARC has required . When you are ready to write your DMP, go to the DMP Toolbox to find links, resources, and real example DMPs from UoN researchers, or head straight to DMP online and use our annotated DMP templates there.. All University staff and students, particularly . Questions about the training and data management can be sent to: [email protected]. Force 11 Mantra. We offer: Training on all aspects of research data management, including writing data management plans. Lynda.com. A responsible research data management is an essential requirement of good scientific practice and provides a solid foundation for excellent research. The introductory modules (duration: 30 minutes) cover the most important benefits and concepts of RDM. A discipline-specific approach to research data management training is recommended. To learn more, please contact the 24/7 IT Help Desk at 412-624-HELP (4357). Module 2: What is RDM (Research Data Management)? Managing your data allows you to work more efficiently, produce higher quality data, achieve greater exposure for your research, and . The software is very popular with data manipulation, cross sectional data analysis, panel data analysis, forecasting, time series analysis, survival analysis, longitudinal survey methods, structural equation modeling and simulations. Data Management involves organisation (backups, version control, bibliography management), administration (security, privacy), and sharing (archiving, publishing) of data. Create, Collect & Store research data. Dip in and out of the "Things" and choose the level of interaction with each "Thing" from: Getting started (beginner) to Learn more (intermediate) and Challenge . The Biomedical Data Lifecycle represents stages of the research process. Research data management training is offered by the Center for Statistical Training and Consulting (CSTAT) and MSU Libraries. Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share. Click on the sections of our interactive lifecycle to learn about data management elements at each stage. It is an on-going activity throughout the data lifecycle. The University Research Data Management Policy expects all researchers to have a DMP in place before a new research project begins. 23 Data things training - Australian Research Data Commons (ARDC) 23 Research Data Things is recommended for HDR candidates who want to learn about research data and how to manage it. Research data management (RDM) is an important topic for funding agencies, universities, and researchers. A 6-week online data management course for people who conduct clinical research on COURSERA, offered by Vanderbilt University. A review service for data management plans . Data management is an integral part of good research practice and comprises activities pertinent to all stages of the research data lifecycle. Plan data management. The former one is currently mandated for use by the U.S. Food and Drug Administration (FDA), and the latter created a standard format for collecting data across studies . Data management involves establishing strategies for the creation, use, secure storage, and ongoing accessibility of research data. Linking Faculty Publication Data via ORCID and Metadata Training Workshop - [Slides] Monday, January 30, 2017, 11:30 AM - 1:00 PM, UFII . Research Data Management (RDM) is one of the four key elements of Canada's digital research infrastructure (DRI). This guide provides resources for managing your research data no matter the discipline. This plan will vary in style and content depending upon the discipline and nature of the project. This series is offered via Moodle. CENTER FOR STATISTICAL TRAINING AND CONSULTING (CSTAT) MSU LIBRARIES By joining here I have learnt the concepts in depth . This class is designed to provide information professionals, working in health sciences, with an introduction to research data management. UK data archive training. Health science librarians are invited to participate in Biomedical and Health Research Data Management Training for Librarians, sponsored by the National Library of Medicine (NLM) and the National Network of Libraries of Medicine Training Office (NTO). These modules include an overview of research data and RDM, the research data life cycle, and Canadian RDM policies. Large-scale and collaborative research is becoming more commonplace, with many research projects taking a cross-national and interdisciplinary approach to research. Step 2. Please view our individual modules for the training "Documenting Your Research Data" to learn documentation best practices by subtopic (e.g . The team also provides initial advice on any ethical, legal and data security issues to consider and . The stages in the lifecycle are inter-related and each must be considered in relation to the other. In response to low research data management engagement at the University of New South Wales, Australia, an introductory research data management online training was developed and rolled out to all newly enrolled Higher Degree Research candidates. KTU library has collected useful introductory materials for training, and is learning on the journey. This presentation introduces the Data Management Life Cycle and concludes with a tentative syllabus for the training in Data Management and Analysis. Include a unique data value once; store data in different tables, creating a relational database; Create and maintain metadata; Use a scripted program for . KTU requires Data Management Plans (DMPs) from all doctoral students and DMPs are also mandatory for projects funded by the Research Council of Lithuania, so the demand for training is growing. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). Contact EUDAT at [email protected]. Here you will find information about: why research has to be documented, what and how to document, ELN, laws and guidelines, GDPR and information security, Ethical requirements. Step 1. The Research Data Management team provide support on all aspects of the management of research data including how to create a data management plan, understanding funder requirements, organising your data and how to archive and share your data. Clinnovo provided us an opportunity to learn new things in emerging fields like clinical research, clinical data management, SAS, Medical Imaging ,Pharmacovigilance, Regulatory affairs which I . The instructors identified problems and challenges of research data management for geographers. Research Data Management. Finding resources; Writing & referencing; Publishing & sharing; . Discover the world's research 20+ million members The Research Data Management (RDM) lifecycle is the overarching process that guides a researcher through the different steps their data takes throughout a research project. If your unit or research team is conducting a training event, please email the Biostatistics Core about the details and how others can join, if applicable. Research Data Management Training Training support for research teams, graduate students, and trainees. He is the author of the best-selling 'The Data Model Resource Book' series (Volumes 1, 2, and 3), which provide hundreds of reusable data models and have been translated into multiple languages. It encompasses the processes applied throughout the lifecycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data, and allows researchers to find and access data. The autumn training series is categorised into: Basics Bundle, CodeRefinery, Special Topics: Open Science, Special Data Types, and School-specific training. RDMLA: Research Data Management Librarian Academy RDMLA was developed by librarians at Harvard University's Countway Library in collaboration with Simmon's University. The training is in line with the Vice Chancellor's five-point reform agenda number 1 on data . The Data Management Training (DMT) Clearinghouse is a registry for online learning resources focusing on research data management. This module will cover aspects of the multi-stage activity "Describe," which occurs throughout the data lifecycle. Research Data Management Workshops and Training The Drexel Libraries offers general training in research data management components such as file organization, metadata, data sharing, preparing data management plans and data repositories. . Data Management Planning Workshop, Part 2 - [Slides] Friday, April 28, 2017, 2:00 PM - 3:00 PM, UFII - Room E252. This site provides information specifically on Data Management & Curation. Module 3: Canadian Policy Review. Regardless of your current (or anticipated) role in the research . Mr. Silverston's company, Universal Mindful, LLC (www.universalmindful.com), focuses on the cultural, political and human side of data management. Collaborate, Process & Analyse research data. If you're hosting a closed event, please still notify us, so we can gather this information in support of REDCap's . After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including . Currently there are 30 lessons, two presentations, two publications and one dataset. View Details. The FAIR data principles outline key practices related to data management, which ensure that research data and outputs are Findable, Accessible . This five-day workshop is designed to help researchers stay abreast of current best practices and initiatives and get started on acquiring good data science skills to maximize their productivity, share their data with the scientific community effectively and efficiently, and benefit from the re-use of their data by others.
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