79 Matching Annotations
  1. Aug 2017
  2. Jul 2017
  3. Jun 2017
  4. May 2017
    1. Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud

      This is a good article that gives some additional explanations of FAIR.

  5. Feb 2017
  6. Jan 2017
  7. Dec 2016
  8. Nov 2016
    1. We are open for knowledge

      just came across this platform. It's used in PyCharm to provide Python tutorial functionality.

    1. Data on the Web Best Practices

      A description for different qualities and targets for data sharing or publishing.

  9. Oct 2016
    1. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research.

      Training for data skills

  10. Sep 2016
  11. Aug 2016
    1. Ten Simple Rules for Effective Statistical Practice

      A very nice overview of things to keep in mind when designing experiments and analyzing data with statistics

    1. Lesson template for Neurohackweek

      A GitHub template for creating lesson plans. While this doesn't provide the flexibility of a computational environment within this lesson plan, it serves as a good approach to outline concepts of lessons.

  12. Jul 2016
    1. An offline version of Khan Academy.

      A lightweight deployable platform for teaching from khan academy.

  13. Jun 2016
    1. Training

      NIH efforts towards reproducibility. This includes videos for training and discussion material as well.

    1. Nature Methods' Points of Significance column on statistics explains many key statistical and experimental design concepts.

      Collection of Nature papers: Statistics for biologists

    1. FOSS service binding together Jupyter and Kubernetes (to manage docker images) to provide executable Jupyter notebooks.

    1. This is primarily for scholarly communication but also link to Zenodo for data I would tag with ReproNim:RelatedProject (in addition to current tags)

    1. An alternative to docker that Chris says is better for cluster and is designed for reproducibility

    1. SPM 2016 course

      The 19th annual course for functional MR imaging (SPM) takes from 26 - 28 September 2016 instead. Due to the significant demand for an intensive training in the various methods in this field, takes the course of this year for the first time exclusively as an intensive course over 3 days instead and covers all areas, both of the first attempts to start with SPM to own to developments program codes from , The previous division into a pure beginner and Fortgeschrittenen- part is thus eliminated.

      Date: 26 - 28 September 2016 Location: Hamburg

    1. School of Data works to empower civil society organizations, journalists and citizens with the skills they need to use data effectively – evidence is power!

      Don't know if this is too beginner for ReproNIM audience, but it has some nice tutorials on how to clean data or extract data from web pages for novices.

    1. INCF Short course 2016

      TItle: INCF Short course 2016 Dates: 31 August – 1 September, 2016 Location: Penta Hotel, Oxford Road, Reading RG1 7RH, United Kingdom

    1. Advanced Scientific Programming in Python

      Title: Advanced Scientific Programming in Python Dates: September 5—11, 2016. Location: Reading, UK

    1. clearly for introduction, lasts 15 min, very clear, would be great to have a couple of exercices to accompany the video

  14. May 2016