Datatermit tutuiksi, osa 1: Tallennanko, säilytänkö vai arkistoinko dataa?

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’.

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Hyvällä datanhallinnalla tutkimuksen parempaa toistettavuutta

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.

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What are the features of a good research data policy? University of Helsinki guidelines to be updated this year

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.

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Where is the help and support for research data management?

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.

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Effective research data management? – DMP to the rescue!

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.

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Why plan research data management in advance?

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.

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