In 2022, the University of Helsinki made a decision to strengthen its research data storage services and data curation over the next five years backed by 1.5 million euros in funding. The long-term storage of research data (Tutkimusdatan pitkäaikaistallennus, TPAT) differs from a conventional data storage service. The TPAT service focuses on storing data for 5–15 years after the research is completed. TPAT answers the question: ”Where can I save this valuable data for future use or as evidence of research already completed?”
What do the University of Helsinki researchers think about article-processing charges, self-archiving, or open access (OA) publishing? Six researchers answered a short questionnaire and shared their views on open science, both at a general level and by answering several specific questions. In principle, open access (OA) is thought of as important and useful; however, from a practical perspective, there are still some challenges relating to expensive APCs (article processing charges), OA platform statistics, and the complex regulations in publishers’ policies.
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.
”The greatest benefit [of open data] is that we do not know. We don’t know where, how and when the data will be used once they has been opened. That said, certain safeguards need to be in place for datasets containing sensitive information. But it does not change the idea; when these datasets are made available, as openly as possible, there is a lot of potential for future use”, says Tuomas Alaterä, Senior Specialist at the Finnish Social Science Data Archive (Tietoarkisto), who has extensive work experience in the areas of digital preservation, open data and data services to support research.
”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.