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.
”You should act like every measurement you start is going to continue forever, but the people in charge of the measurements and data flow would move on to different tasks the next week,” says Pasi Kolari, university researcher at the University of Helsinki. In this blog interview, Kolari, who works as a data liaison for SMEAR stations (Station for Measuring Ecosystem-Atmosphere Relations), sheds light on the real life challenges of collecting, processing and opening data. The article is part of the Think Open article series on open science research infrastructures.
The University of Helsinki’s Think Open blog turns two years old today. To celebrate the anniversary, the blog’s editorial board’s members have picked up reading tips for you. The top 10 list of the blog’s most read articles is also revealed.
Helsinki University Library organises a webinar, which will introduce UH researchers to the characteristic features of predatory publishers and journals and explain by which criteria one can tell the good journals from the predatory journals. In addition to this, library welcomes all University of Helsinki researchers, students and staff to virtual Open Science Café every Tuesday at 2–3 pm until the end of May.
”I wish that the funding bodies and publishers would not only demand for research data to be dumped in an open repository as it is, but it should be required that the data is stored in an open access repository in a standard data format(s), so that it can be found and reused”, says Kari Lahti, a head of Biodiversity Informatics Unit at the Luomus. Lahti is one of the speakers at the event ”What it takes: Open your research data” that takes place on 26 March at Think Corner.
There are several reasons and benefits to open data for both researchers as well as for society. However, when the demand for opening data has grown rapidly, researchers might feel left alone with the problems, that is, how, where and what to open. This article describes the obstacles and opportunities for opening data – including the beautiful example of the the Carte du Ciel project.