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.
Last year, the National Library of Finland launched the Digital Open Memory project, which aims to develop the data driven services for researchers, especially in digital humanities. According to a survey conducted in the project, reading and interpreting texts, were still the major ways of using digital material among researchers in the humanities, and the pressure to provide more services for text and data mining is obvious.
Kansalliskirjastossa alkoi viime vuonna Digitaalinen avoin muisti (DAM) -hanke, joka tähtää kirjaston digitaalisten aineistojen laajempaan ja monipuolisempaan käyttöön erityisesti digitaalisten ihmistieteiden tutkimuksessa. Ensi vuonna päättyvän hankkeen tulosten pohjalta määritellään, millaisia datapalveluja Kansalliskirjasto jatkossa tarjoaa. Tutkijoille viime keväänä tehdyn kyselyn mukaan erityisesti tiedonlouhinnan mahdollistaville lisäaineistoille on kysyntää. Tässä blogiartikkelissa esitellään kyselyn tuloksia ja Kansalliskirjaston suunnitelmia Louhokseksi nimetyn palvelukonseptin kehittämisessä.
”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.
Think Open -blogi täyttää kaksi vuotta tänään. Juhlan kunniaksi on tarjolla lukuvinkkejä, joita ovat poimineet blogin toimitusneuvoston jäsenet. Tarjolla myös luetuimpien juttujen top 10.