Blogs

Content with Viewpoints Maximizing the value of data .

Tailored EUDAT data services: use cases

Tailored EUDAT data services are designed to provide additional options to the common data services provided by CSC, while promoting good data management practices. In this blog, we will go through three examples of customized data services.

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Omikron-aallon huippu lähestyy - mitä SARS2-CoV -viruksesta tiedetään molekyylibiologian tasolla?

Koronapandemia on piinannut maailmaa jo kahden vuoden ajan. Tämän ja tulevien pandemioiden ehkäisyssä, hoidossa ja hallinnassa on syytä kerätä ja tutkia virusten molekyylibiologian tason dataa.

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Introducing CSC's content retention policy in Services for Research and Education

The volume of digital data is ever-growing, also in research. The owner of the content needs to be aware of legislative issues, understand the meaning of good data management practices and make plans for the data lifecycle. GDPR also sets requirements on data. Personal data must always be managed and deleted according to published plans and consents.

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Liikunta ja huippu-urheilu kulkevat käsi kädessä ja digitalisaatio lisää niiden vaikuttavuutta

Olympiakomitean uudistetussa strategiassa uutena elementtinä on runsaasti keskustelua herättänyt kolmas tukijalka huippu-urheilun ja seurojen toiminnan tukemisen lisäksi: liikkeen ja liikunnallisen elämäntavan edistäminen. Digitalisaatio tuo aivan uudenlaista lisäarvoa myös liikunnalle ja urheilulle. Lajiliitoissa ja seuroissa onkin jo herätty tiedolla johtamiseen, jonka avulla voidaan esimerkiksi kohdentaa urheilijoiden tavoitteellista kehittämistä juuri oikeille osa-alueille, parantaa seurahallinnon läpinäkyvyyttä, tai seurata pitkällä aikavälillä liikunnan yhteiskunnallista vaikuttavuutta.

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Competence development, peer support and working together – CSC Research Data Management Competence Center

The goal of CSC's Research Data Management Competence Center is to promote the open science and practices of FAIR principles. We want to support our customers in implementing sensible data management and using data management services.

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Data analytics steps for supporting project planning

Analytical Steps is a tool developed at CSC for identifying data analytics capabilities. The tool has been inspired by the maturity models used in software development. In Analytical Steps, the stages of data analytics are divided into five steps: collect, describe, discover, predict and interact.

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Language Bank, language technology and donated speech

In the future, we can expect a lot from this combination: there will be a large amount of high-quality speech data and heavy computing by supercomputers available for university researchers, research institutes and businesses, and it will be easier to implement various joint projects.

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Standardizing life science data management practices across Europe

ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data. Bioinformatics services have laid the foundation for a coordinated European life science infrastructure including databases, software tools, training material and computing environments. ELIXIR-CONVERGE, a project funded by the European Commission, builds on these achievements and aims to standardise life science data management across Europe. 

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EU-rahoituksella Suomen TKI-investoinnit nousuun

Vuoden 2021 puoliväliriihessä hallitus määrittelee suuntaviivat loppukaudelleen ja päättää valtion talouskehityksestä neljälle seuraavalle vuodelle. Yhtenä tavoitteena on kasvattaa Suomen tutkimus-, kehitys- ja innovaatioinvestointien osuutta neljään prosenttiin bruttokansantuotteesta vuoteen 2030 mennessä.

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Up to 20% of LUMI’s resources will be available to industry and SMEs

LUMI is a unique opportunity for companies for developing R&D activities and boosting innovation

Up to 20% of LUMI’s resources will be available to industry and SMEs. Using this capacity is a remarkable opportunity for Finnish industrial life and for the whole society.

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Combined machine learning framework for supercomputing. Blog post 2/3

What would a combined machine learning framework look like and which primary components it requires? From the technical point-of-view, it makes most sense to have the interactive part running on Kubernetes, while the batch jobs would run in the HPC cluster.

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EGA is an extensive archive of biomedical patient data

European Genome-Phenome Archive (EGA) archives and distributes patient data collected in biomedical studies. EGA is a part of the European Elixir data infrastructure that serves life sciences. The repository is one of the world’s most extensive ones.

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Write an effective data management plan − Last minute tips for Academy applicants

In the past years funders have started to request a data management plan (DMP) along with the actual research plan when applying for funding. What should be now taken into account in the research plan about data management?

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Onwards to data-driven world, part 3: IT industry and jobs of the future

In the previous blog post I described how data-driven approach will change the software development landscape. Here I continue the path upwards to what it means to the software industry and especially programming jobs.

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Open access materials data in NOMAD

The NOMAD Repository and Archive (Novel Materials Discovery) distributes data related to materials science, a discipline incorporating physics, chemistry and engineering in order to design and discover new materials. The repository and archive provide the data under a Creative Commons license in raw and processed formats.

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Onwards to data-driven world, part 2: From programming to data-driven programming

Data-driven programming can be defined as programming where program statements describe operations, transformations or queries over data instead of describing a sequence of steps to take.

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Onwards to data-driven world, part 1: Where are we heading to?

Data driven forces of digitalisation, automation, artificial intelligence, and autonomous agents are all driven by software. Software is both the starting point and the final destination. Everything needs to start from something that is controlled by software, or at least observed by it.

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The Language Bank of Finland serves digital humanities and social sciences

The Language Bank began as CSC’s science support branch for language research. The last few years have seen the Language Bank also actively seek to reach out to other digital humanities and social sciences.

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What to take into consideration when compiling research material?

Research material management begins already before collecting the data itself. At the very least, it is important to know who the target users are and how they are going to use it, as well as how they will be able to access the data and with what kind of rights.

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What a researcher should know about persistent identifiers

Even the most useful information has no practical value if nobody can access it. Digitalization only aggravates the problem. Persistent identifiers (PID) are the internet’s way to point at documents and other items that should remain findable as long as possible.

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