Monet datanhallinnassa (research data management, RDM) käytetyt termit ovat yleiskielen sanoja, ja eri käyttötarkoituksissa ne saattavat saada eri merkityksen. Datanhallintaa koskevassa sarjassa tehdään selkoa keskeisistä – usein sekaannusta aiheuttavista – termeistä. Avausosassa pureudutaan datan ’tallennukseen’, ’säilyttämiseen’ ja ’pitkäaikaissäilytykseen’.
Tuoreesta tutkimuksesta käy ilmi, että tutkijat pitävät tutkimuksen hyvää datanhallintaa eli datan järjestelmällistä käsittelyä erittäin tärkeänä datan eheyden, tutkimustulosten luotettavuuden ja tutkimuksen toistettavuuden kannalta. Silti koulutusta datanhallintaan on saanut vain harva ja nuorten tutkijoiden osaaminen on kirjavaa. Tutkimustaan käsittelevässä blogiartikkelissa Jukka Rantasaari esittää myös ratkaisuja tilanteen parantamiseksi.
The University of Helsinki is currently updating its research data policy. In this Think Open blog post, members of the working group responsible for the update share their views regarding the needs and goals of the new data policy. Their responses indicate that the key goal is for the shared data policy to facilitate the work of researchers in a concrete way, taking the special nature of research fields and research datasets into account. The respondents also agree on the need for clear guidelines and the definition of responsibilities. The importance of services as part of the guidelines is also noted. The UH policy draft is now opened for commentary.
CSC – IT Center for Science provides data management services and tools for computing, storing as well as opening and sharing data. As the amount of data is increasing all the time, it is important that services support the workflows and enable easy data handling.
”I think open research data promotes honesty and transparency in science. Once a data set is well described, citable and available on clear terms, it is easy to discover and to reuse, and studies done on the data set are easier to replicate and to improve on”, says Mietta Lennes, Project Planning Officer for FIN-CLARIN consortium, which coordinates the Language Bank of Finland (Kielipankki). Lennes is one of the speakers at the webinar event ”What it takes: Open your research data” that takes place on 25 March 2021.
The new issue of Think Open Digest concentrates on the basics of research data management (RDM) and data management planning (DMP). ”Know Your Data” contains six articles and is aimed at all researchers – especially those who doubt the usefulness of RDM and DMP.
The digital environment requires new skills from researchers. For example, a researcher has to understand the complexities of the relevant legislation, or know how to choose suitable IT solutions to keep their data secure. Fortunately, researchers are not left to navigate these issues alone, as we have several services available for data management.
Data management planning (DMP) is too often considered a burden and a bureaucratic procedure. However, a data management plan is a useful tool that helps researchers prepare more effectively for the research process and identify the potential risks. DMP also has significant pedagogical potential and, in collaboration with DMP organisations, can develop the infrastructure and services needed to conduct research.
Every aspect of research data management (RDM) is equally important and all parts of the process need to be properly discussed and planned. Poor data management planning (DMP) is a risk that can potentially cause problems for the research project. This fourth section of the ”Know your data” article series highlights the importance of planning ahead.
In the first few sections of this blog series, we answered the question: What is research data management (RDM)? In this post, we will provide more detail on the changes in the research process that relate to RDM and explain why it has become increasingly important to understand the significance of RDM.