Træningskurser i Data Management

ons 26 sep | Syddansk Universitet, Odense
The course consists of four modules: Module 1: Good scientific conduct? Module 2: What’s law got to do with it? Module 3: Data transparency: facts, flexibility, and fraud and Module 4: Publication, authorship, and peer reviewing. The overall learning objective is to stimulate reflection, awareness...
man 01 okt | Københavns Universitet
This academic library course will improve the participants’ skills in performing systematic searches for information and literature and understanding comprehensive search strategies. The course will provide insight into different copyright issues within the scope of research and publishing, and...
tir 09 okt | Syddansk Universitet, Odense
Quantitative empirical research must be based on valid data. The foundation of this lies in principles of securing proper metadata, appropriate variable composition in relation to the research topic under study (Conceptual model), but also the methods applied from data definition to analysis. The...
ons 17 okt | Københavns Universitet
Introduction to Data Management Plans with DMPonline.
man 05 nov | Københavns Universitet
PhD School at the Faculty of SCIENCE at University of Copenhagen This is an academic library course that will improve your skills in performing systematic searches for information, data and literature. It will give you an introduction to tools for managing references and to produce data management...
man 12 nov | Syddansk Universitet, Odense
This course will offer an introduction to the use of a variety of Stata tools that can save time and increase the reproducibility on the way from data to publication. The course will focus on how to generate output that is as close to the desired result as possible, with a minimal need for post-...
man 12 nov | Københavns Universitet
This academic library course will improve the participants’ skills in performing systematic searches for information and literature and understanding comprehensive search strategies. The course will provide insight into different copyright issues within the scope of research and publishing, and...
tir 13 nov | Syddansk Universitet, Odense
The aim of the course is to: create a data management plan for your PhD project, give insights into how data management supports research projects, understanding current principles and standards for documentation of quantitative data, provide considerations and instruments to carry through data...
tir 20 nov | København, Rigsarkivet, Harsdorf Salen
At this conference, a FAIR toolbox is presented for use by researchers and data management professionals in implementation and daily use of FAIR. International speakers are invited and the result of case studies/data pilots will be shared to show the use of the presented tools in practice. The...
tir 20 nov | Mærsk Tårnet, København
Introduction to Data Management Plans with DMPonline.
tor 22 nov | Københavns Universitetsbibliotek Søndre Campus
How do you use software to cleanse and harmonize digital data? How do you structure data in databases? The study group focuses on learning OpenRefine for data cleansing and database tools to structure data and handle queries.
tor 22 nov
Hovedemner på webinaret er: import af CSV og TXT filer i Excel med dynamisk opdatering, import af data fra databaser og andre ODBC drevne kilder, parameterstyret opdatering af data fra forskellige kilder, datavask (ryd op i importerede data og organiser informationerne hensigtsmæssigt) og udtræk en...
tor 29 nov | Københavns Universitetsbibliotek Søndre Campus
Microsoft Access/SQLlite/LibreOffice. How do you use software to cleanse and harmonize digital data? How do you structure data in databases? The study group focuses on data cleansing and database tools to structure data and handle queries. 
tor 31 jan | Syddansk Universitet, Odense
Stata is a versatile statistical analysis software. It is an ideal tool to do basic as well as advanced statistical analyses. The course is intended for beginners, for those who want to brush-up their Stata skills, and for those with knowledge about statistical models or methods who want to know...