Sound research data management (RDM) competencies are elementary tools used by researchers to ensure integrated, reliable, and re-usable data, and to produce high quality research results. In this study, 35 doctoral students and faculty members were asked to self-rate or rate doctoral students’ current RDM competencies and rate the importance of these competencies. Structured interviews were conducted, using close-ended and open-ended questions, covering research data lifecycle phases such as collection, storing, organization, documentation, processing, analysis, preservation, and data sharing. The quantitative analysis of the respondents’ answers indicated a wide gap between doctoral students’ rated/self-rated current competencies and the rated importance of these competencies. In conclusion, two major educational needs were identified in the qualitative analysis of the interviews: to improve and standardize data management planning, including awareness of the intellectual property and agreements issues affecting data processing and sharing; and to improve and standardize data documenting and describing, not only for the researcher themself but especially for data preservation, sharing, and re-using. Hence the study informs the development of RDM education for doctoral students.

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Korkeakouluissa on viime vuosina kehitetty ahkerasti datanhallintaan liittyviä koulutuksia ja palveluja. Toiminnalleon leimallista moniammatillisuus, yhteistyö ja jatkuva kehitys. Palvelutarjonnassa on paljon yhtäläisyyksiä, mutta myöspaikallisia ratkaisuja.

A self-evaluation tool for services has been developed to support the Policy for Open Scholarship, which takes into account the recommendations of all previous national policies on open science. The purpose of the tool is to assist research organisations in the self-evaluation and development of services and making them available. The organisation may produce the services alone, in cooperation with other organisations or utilise services at the national and international level. Measures promoting the openness of evaluation, learning, research data and publishing, which are also included in the Policy for Open Scholarship currently being prepared, are made concrete with minimum and ideal criteria. These criteria facilitate different target levels for different types of research organisations at different starting levels. The measures and criteria of the self-evaluation tool are also used in the national monitoring model for open science. The tool is intended for the self-assessment of organisations and the development of services, while the monitoring model makes it possible to assess the maturity level of the entire open science field.

Turun yliopiston kirjasto on uudistanut viime vuosina palvelukonseptinsa (ns. hakeutuva asiakaspalvelu, tiskeistä luopuminen), vähentänyt tilojaan noin 20 prosenttia ja kehittänyt niitä eri hiljaisuusasteisiksi kohtaamispaikoiksi. Samaan aikaan kirjasto on alkanut tuottaa enemmän ja osin täysin uusia asiantuntijapalveluja, joita arvioidaan ja määritellään yliopistojen muuttuvien tarpeiden mukaan.Laajentuvan tehtäväkentän lisäksi Turun yliopiston kirjaston muodonmuutos 2010-luvulla on merkinnyt mm. toimintopohjaiseen matriisiorganisaatioon siirtymistä sekä asiantuntijatason tehtävänimikkeiden merkittävää kasvattamista. Esim. informaatikoiden määrä on nelin-"A Change Is Gonna Come" -Avoimen tieteen palveluita rakentamassa Turun yliopiston kirjastossa