awesome-open-science-software

: open source and collaboration for computational science

is a community of researchers, developers, and librarians making research open and accessible

(RDA) is a community-driven organization supported by the European Commission, the United States Government's National Science Foundation and National Institute of Standards and Technology, and the Australian Government’s Department of Innovation with the goal of building the social and technical infrastructure to enable open sharing of data

's mission is to cultivate better, more sustainable, research software to enable world-class research

supports the development of open scientific software, in particular for cheminformatics

Open-code, better science. Non-profit organization that promotes sustainable high-level programming languages, open code development, and reproducible scientific research

(organized by D. Delling, C. Demetrescu, D. Johnson, J. Vitek)

(organized by B. Childers, G. Fursin, S. Krishnamurthi, A. Zeller)

(organized by C. Goble, J. Howison, C. Kirchner, O. Nierstrasz)

(maintained by ) discusses availability of experimental data and reproducibility of experiments

is a joint-project by New York University, the University of California, Berkeley and the University of Washington to promote open-science

The is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible

The Journal of Open Source Software (JOSS) is a journal for research software packages. JOSS papers enable citation of research software packages with a DOI

, IEEE Computer, vol 55. no. 11, November 2018

helps build the software-intensive science of the future by promoting credit for software as a fundamental building block of science

The CodeMeta project proposes a way to have structured metadata for research software

code-ini

Code meta data via .ini files

project collects and preserves software. The project motivation is that "software embodies our technical and scientific knowledge and humanity cannot afford the risk of losing it." (project lead by Roberto Di Cosmo)

Research dataset repository specializing in software engineering research datasets

operated by CERN, contains several collections about software data:

(The Netherlands)

Awesome-msr

: curated repository of software engineering data sets

The (managed by ) is a hub for everybody interested in understanding and improving the state of practice in experimental evaluation in software science

The (initiated by Tim Menzies) contains the source of , which is an "open science for software engineering portal"

This Github group gathers software prototypes associated with software-engineering publications (maintained by and his students)

is an open repository of datasets hosted by IEEE

Dataverse

A data repository framework to share and publish research data

is a prototype integration between Github and figshare

is a client-side editor for decentralised article publishing, annotations and social interactions for science. Its is open source under the Apache License, Version 2.0. Maintained by ( ) et al

provides project management support for researchers across the entire research lifecycle. Developed by the

Anonymous Github

is a system to anonymize open-science Github repositories before referring to them in a double-blind paper submission

recipy

records provenance for Python programs

shournal

records provenance on the shell. It provides the exact command which created a given file

Code Ocean is a cloud-based computational reproducibility platform to run scientific code

is a Java library that allows you to design, control, process and package experiments that are run on a computer, and to streamline the integration of results within a research paper

is a cross-platform chromatography data analysis tool with support for both proprietary vendor formats and open alternatives to publish as FAIR data

Swedish PhD course . It gives very good pointers