{"id":13993149,"url":"https://github.com/Daniel-Mietchen/datascience","last_synced_at":"2025-07-22T17:30:53.879Z","repository":{"id":28048089,"uuid":"31544129","full_name":"Daniel-Mietchen/datascience","owner":"Daniel-Mietchen","description":"Keeping track of activities around research 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Data science\nThis repo contains thoughts and activities around [research data](http://datascience.nih.gov/), with a focus on\n* Analysis of different kinds of open models for use in research funding.\n  * [How can research funding be opened up to the benefit of research?](https://github.com/Daniel-Mietchen/datascience/blob/master/open-research-funding.md)\n  * [How can peer review be made more efficient?](https://github.com/Daniel-Mietchen/datascience/blob/master/peer-review.md)\n* Interfacing of the Commons with activities across institutional, disciplinary and international boundaries.\n  * [How to conceptualize and implement a Commons infrastructure for research?](https://github.com/Daniel-Mietchen/datascience/blob/master/commons.md)\n  * [What policies govern open access to research outputs?](https://github.com/Daniel-Mietchen/datascience/blob/master/public-access-policies.md)\n  * [How does free and open-source software fit into the picture?](https://github.com/Daniel-Mietchen/datascience/blob/master/open-source.md)\n  * [How can data best be described in order to lay the groundwork for interoperability across data sources?](https://github.com/Daniel-Mietchen/datascience/blob/master/common-data-elements.md)\n* Quantifying the reuse of various research objects, so as to gather information on what needs to be sustained.\n  * [How are research objects being used and reused, and how can reuse be encouraged and quantified?](https://github.com/Daniel-Mietchen/datascience/blob/master/reuse.md)\n  * [How best to cite data and software?](https://github.com/Daniel-Mietchen/datascience/blob/master/data-citation.md)\n  * [How to make data accessible for people with disabilities?](https://github.com/Daniel-Mietchen/datascience/blob/master/web-accessibility.md)\n  * [How to sustain infrastructure for data sharing?](https://github.com/Daniel-Mietchen/datascience/blob/master/sustainability.md)\n* Engaging communities with data, both experts and in the framework of citizen science projects.\n  * [How best to integrate crowdsourcing components into data management?](https://github.com/Daniel-Mietchen/datascience/blob/master/crowdsourcing.md)\n  * [How to make data management plans machine readable?](https://github.com/Daniel-Mietchen/datascience/blob/master/data-management-plans.md)\n  * [How can quality data journalism be supported?](https://github.com/Daniel-Mietchen/datascience/blob/master/data-driven-journalism.md)\n\nas well as a collection of further relevant resources in the [reading room](https://github.com/Daniel-Mietchen/datascience/blob/master/reading-room.md).\n\nFor a quick overview of some of the key elements of data science, see [this infographic](http://web.archive.org/web/20181127210055/https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Infographics/8-easy-steps-to-become-a-data-scientist.jpg).\n","funding_links":[],"categories":["Others"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDaniel-Mietchen%2Fdatascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDaniel-Mietchen%2Fdatascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDaniel-Mietchen%2Fdatascience/lists"}