If you could choose one way to advance opening data (regardless of costs), what would it be? Francesca Morello would choose data stewards as part of every research group: ”Data steward, as an expert professional, would be capable to support researchers’ choices on daily bases and could help them promote the optimal reuse of their data: both positive results but also negative findings.” Morello is one of the speakers at the webinar event ”What it takes: Open your research data” that takes place on 25 March 2021.
”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.
Careful preparation of common guidelines, selection of an appropriate implementation strategy and commitment of the entire work community are key things when building an open science research infrastructure. Aino Juslén, Director of the Finnish Museum of Natural History (Luomus) tells in this interview how openness of science is implemented in different ways (open data, open source code, open education) in Finnish Biodiversity Information Facility (FinBIF), coordinated by Luomus.
”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.
While states have closed their borders in response to the coronavirus outbreak, science has opened up in a unique way. Researchers have been openly sharing their outputs and making research available across disciplines, publishers have broken down their paywalls, and new ways of creating and disseminating scientific knowledge have been developed. This blog article provides an overview of the manifestations and features of open science over the past few months.
”Science should be transparent and accessible to everyone. Today, I firmly believe that science goes hand in hand with openness. When I started my PhD couple of years ago, I did not even know what open science meant. Since then, I have taken baby steps towards a more sustainable science culture.” In this blog post, University of Helsinki doctoral student Julia Kemppinen writes on a practical level how she learned to understand the importance of open science and how she implements open science practices in her research.
University of Helsinki Data Support, a network of experts ranging from library staff to lawyers, helps researchers all year long via a service address email@example.com. To be able to develop services, Data Support investigated what are the most frequently asked topics in the service email by researchers. Along with data management plan commenting service, most questions asked by the researchers handled sensitive data management as well as storing solutions.
For many researchers, the the Academy of Finland’s September 2019 Call makes data management planning a topical issue. The University of Helsinki Data Support provides support for the preparation of data management plans (DMP). We asked four UH researchers how well the Data Support services responded to their needs.
At the beginning of 2019, University of Helsinki (UH) Data Support together with the Faculty of Medicine conducted a survey of the faculty Principal Investigators about where data is stored during a project and where it is made available after the project. Almost 50 Principal Investigators participated in the survey. More than half of the researchers were affiliated only to University of Helsinki and around a quarter were affiliated both to the University and HUS.
What does a great data management plan (DMP) look like? The DataSupport at the University of Helsinki is regularly asked for examples and models of good plans. Here are the best pieces of advice for a researcher to create a great DMP.