Open Research Tools and Technologies
The Journal of Open Source Software
Credit for invisible work
Researchers rarely cite software they use as part of their research. As a result, research software and the time spent developing it have become invisible scholarly contributions. This lack of visibility reduces the incentives that are necessary to produce and share high quality software that are essential for the progress of science.
The Journal of Open Source Software (JOSS) is an open source, open access journal primarily designed to make it easier for those individuals authoring research software to gain career credit for their work by publishing short software papers. Software papers are a recognized mechanism for authors of research software to create a citable ‘entity’ which can easily be cited in journals and as such directly impact a researcher’s career via established metrics such as the h-index. JOSS is unique in that it only accepts very short (~ 1-2 pages) papers, with short summaries and links to the software repository. In that sense, the software papers are not the focus of the review. Instead, we ask reviewers to conduct a thorough review of the associated software (which must be open source) ensuring that it is well documented, straightforward to install and functions as expected. In this talk I will describe the origin and impact that JOSS has had on research open source and also touch upon issues such as sustainability and credit.
Additional information
| Type | devroom |
|---|
More sessions
| 2/1/20 |
The reproducibility crisis has shocked the scientific community. Different papers describe this issue and the scientific community has taken steps to improve on it. For example, several initiatives have been founded to foster openness and standardisation in different scientific communities (e.g. the INCF[1] for the neurosciences). Journals encourage sharing of the data underlying the presented results, some even make it a requirement. What is the role of open source solutions in this respect? ...
|
| 2/1/20 |
The approaches used in software development in an industry setting and a scientific environment are exhibit a number of fundamental differences. In the former industry setting modern team development tools and methods are used (version control, continuous integration, Scrum, ...) to develop software in teams with a focus on the final software product. In contrast, in the latter scientific environment a large fraction of scientific code is produced by individual scientists lacking thorough ...
|
| 2/1/20 |
NeuroFedora is an initiative to provide a ready to use Fedora-based Free/Open source software platform for neuroscience. We believe that similar to Free software; science should be free for all to use, share, modify, and study. The use of Free software also aids reproducibility, data sharing, and collaboration in the research community. By making the tools used in the scientific process more comfortable to use, NeuroFedora aims to take a step to enable this ideal.
|
| 2/1/20 |
Health Data is traditionally held and processed in large and complex mazes of hospital information systems. The market is dominated by vendors offering monolithic and proprietary software due to the critical nature of the supported processes and - in some cases - due to legal requirements. The “digital transformation”, “big data” and “artificial intelligence” are some of the hypes that demand for improved exchange of health care data in routine health care and medical research alike. ...
|
| 2/1/20 |
Contemporary sciences are heavily data-driven, but today's data management technologies and sharing practices fall at least a decade behind software ecosystem counterparts. Merely providing file access is insufficient for a simple reason: data are not static. Data often (and should!) continue to evolve; file formats can change, bugs will be fixed, new data are added, and derived data needs to be integrated. While (distributed) version control systems are a de-facto standard for open source ...
|
| 2/1/20 |
Generating insight and conclusions from research data is often not a straightforward process. Data can be hard to find, archived in difficult to use formats, poorly structured and/or incomplete. These issues create “friction” and make it difficult to use, publish and share data. The Frictionless Data initiative (https://frictionlessdata.io/) at Open Knowledge Foundation (http://okfn.org) aims to reduce friction in working with data, with a goal to make it effortless to transport data among ...
|
| 2/1/20 |
ELIXIR is an intergovernmental organization that brings together life science resources across Europe. These resources include databases, software tools, training materials, cloud storage, and supercomputers.
|
