Digital environment requires new skills from the researchers. The researcher has to know for instance the complexities of legislation or how to choose the suitable IT solutions for keeping their data secure. Fortunately, the researchers are not left alone to wonder these issues, we have several services available for data management.
Data management planning (DMP) is too often considered as a burden and bureaucratic procedure. However, the DMP is a useful tool that helps researchers to better prepare for the research process and to identify potential risks. DMP also has significant pedagogical potential, and with DMP’s organizations can develop the infrastructure and services needed to conduct research.
All parts of RDM are equally important and all of them needs to be properly discussed and planned. Poor data management planning involves risks that can cause problems for the research project. The fourth part of the Know your data article series highlights the importance of planning ahead.
In the first parts of the blog series we covered, what is RDM (research data management). In this post, we will trace the details behind the changes in the research process related to RDM and explain why it is increasingly important to understand the significance of RDM.
The key components of research data management consist of knowing and describing your data, following ethical and legal principles, understanding the workflows related to securing, storing, sharing, archiving, opening and publishing your data. Here we take a closer look at these components of RDM and their relationship with the scientific conduct of research and partially with the basic services provided by the home organization.
The new article series brings research data management (RDM) to its basics. The opening part of the series provides an overview of what RDM is, why it concerns all researchers and how the RDM life cycle relates to the research life cycle.
University of Helsinki researcher and teacher Anu Lahtinen challenges all docents at the Faculty of Arts to organize their files and folders and remove unnecessary data during the Data Cleaning Week. UH Data Support’s Data Cleaning Week will be held from 16th to 20th December 2019.
Are you having problems with data that has accumulated on your hard drive? Does your folder structure or file naming system need updating? Data Cleaning Week 16–20 December aims to draw attention to good data management routines and its benefits. In this blog article, you can read about UH staff’s data cleaning challenges and consider what your own challenge might be. All UH researchers, staff members and students can participate in the Data Cleaning Week on Twitter by using the hashtag #5sdata.
University of Helsinki Data Support challenges all UH researchers, staff and students to participate in Data Cleaning Week during 16th to 20th of December. During the week researchers are urged to go through their data files and storages, and clean up directories and folders, name files wisely and destroy unnecessary data. 5S method provides ideas for data cleaning.
University of Helsinki researcher Aleksi Husso is challenging all doctoral students at the University of Helsinki to check the efficiency and security of their data management routines during the Data Cleaning Week. UH Data Support’s Data Cleaning Week will be held from 16th to 20th December 2019.