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Digital research skill development - Page 3

Time and place: Mar. 17, 2021 1:00 PM2:00 PM, Zoom
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Time and place: Mar. 17, 2021 9:00 AMMar. 24, 2021 12:30 PM, Online

Bring your code and start writing tests with the help of a mentor!

This online event is a combination of workshop (17th Mar) and hackathon (24th Mar) for you who are already working on scientific programming but not yet extensively testing your codes or scripts. Participation by a team is recommended.

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Time and place: Mar. 2, 2021 9:00 AMMar. 3, 2021 12:00 PM, Online

Do you want or need to learn Python programming for your research but have no or little previous knowledge? Do you want to refresh your basic skills in Python programming? Or you want your team members to learn Python? Then this workshop is for you and/or your team!

Time and place: Jan. 29, 2021 11:00 AM1:00 PM, Online

This course is especially suitable to new researchers or students trying to understand computational/data analysis options available at UiO and in general. It won’t go into anything too deep but will provide you with a good background for your next steps to use the resources: you will know the general types of resources you can use for computing, and be able to take the next steps.

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Time and place: Jan. 8, 2021 9:00 AM12:30 PM, Online via Zoom

Conda is an open source package and environment management system. This workshop is for you who wants to learn more about use of Conda as a development tool for building and sharing project specific software environments that facilitate reproducible (data) science workflows.

Time: Nov. 30, 2020 9:00 AM2:00 PM

Training in using High-performance Computing (HPC) efficiently, using the SAGA  compute clusters

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Time and place: Nov. 25, 2020 4:00 PM7:30 PM, Online

Are you already familiar version control with Git and an online collaborative platform like GitHub or GitLab? Are you willing to make a nice website using GitHub and GitLab Pages? Excellent Carpentries instructors will guide you to learn Jekyll step-by-step. The workshop is hosted by UW-Madison but open to others.

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Time and place: Nov. 17, 2020 9:00 AMNov. 26, 2020 12:00 PM, online

Want to learn about best practice on research software development and management best practice?

Logo with a slightly tilted test tube with red liquid on the right hand side and text  "jekyll" in white cursive letters on the left.
Time and place: Nov. 11, 2020 4:00 PM7:30 PM, Online

Are you already familiar version control with Git and an online collaborative platform like GitHub or GitLab? Are you willing to make a nice website using GitHub and GitLab Pages? Excellent Carpentries instructors will guide you to learn Jekyll step-by-step. The workshop is hosted by UW-Madison but open to others.

Time and place: Nov. 11, 2020 1:00 PM2:30 PM, Zoom

Are you keen on sharing your research? Or does your publisher require that your dataset is available?

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Time and place: Nov. 11, 2020 9:00 AM4:00 PM, Online via Zoom

Are you going to treat huge datasets that spreadsheets cannot handle? Databases include powerful tools for search and analysis, and can handle large, complex data sets. This Software Carpentry SQL workshop will show how to use a database to explore a large-sized dataset.

Time and place: Nov. 10, 2020 1:00 PM2:30 PM, Zoom

Learn about the key concepts of privacy and data protection in research, review responsibilities, consider how to seek consent etc.

Time: Nov. 9, 2020 12:00 PM1:00 PM

TSD tilbyr nå via https://data.tsd.usit.no/media-capture trygt og sømløst opptak av data fra enheter som webkameraer og mikrofoner, rett inn i et TSD-prosjektområde.

Dette kurset gjennomgår i detalj hvordan du bruker denne tjenesten. 

Kurset blir sendt over nett og er åpent for alle som ønsker å delta.

Vi gjør opptak av kurset og opptakene blir lagt ut på disse sidene i etterkant.

Se dokumentasjon om denne tjenesten.

Kursholder

Lenke til zoom-kursrom

Time and place: Nov. 5, 2020 9:00 AM10:30 AM, Zoom

Learn about good practices for data entry and data integrity.

Time and place: Nov. 4, 2020Nov. 5, 2020, Zoom

Introduction to data management and statistics with Stata.

 

Time and place: Nov. 3, 2020 9:00 AM10:30 AM, Zoom. Details tbc

In this course we will introduce you to the UiO Classification- and Data Storage guides.

Time: Nov. 2, 2020 11:58 PM11:59 PM

Nettskjema tilbyr nå alle å signere og lenke skjema selv.

Dette kurset finnes kun som videokurs.

Se oppsummering og dokumentasjon om signering og kobling.

Time and place: Oct. 30, 2020 9:00 AM10:30 AM, Zoom. Details tbc.

Get started with data management planning for your research!

Time and place: Oct. 29, 2020 1:00 PM2:30 PM, Zoom

Are you keen on sharing your research? Or does your publisher require that your dataset is available?

Time and place: Oct. 28, 2020 9:00 AM10:30 AM, Zoom

What is research data management, seen from a humanities and social science perspective?

Time and place: Oct. 27, 2020 1:00 PM2:30 PM, Zoom

Are you struggling with keeping track of your research data files? Is your project directory a hot mess? And are you sure your files are in a format that is easy to exchange, share and archive?

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Time and place: Oct. 21, 2020 9:15 AMOct. 23, 2020 3:30 PM, Online

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research.

Time and place: Oct. 15, 2020 1:00 PM2:30 PM, Zoom

Have you classified your research data yet? And are they stored in a safe place at UiO?

Time and place: Oct. 14, 2020 1:00 PM2:30 PM, Zoom

Will you be using personal data in your research?

Logo with "D" letter contains "C" inside with vertical lines on the left side. Also the following text is shown under the logo: "DATA CARPENTRY Building communities teaching universal data literacy"
Time and place: Oct. 14, 2020 9:15 AMOct. 16, 2020 3:30 PM, Online

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research.