The Five Recommendations for FAIR Software aim to encourage the greater adoption of FAIR principles by providing a set of starting recommendations that researchers can use to improve the quality, reach, and reproducibility of their software.The FAIR principles are a concept which originated in data management. The acronym stands for Findable, Accessible, Interoperable and Reusable. They have served as a flagship for promoting good data management practices, but until recently they were not directly applicable to software. FAIR principles aim to have a positive effect in research software development.
The RRID is a Persistent Unique Identifier assigned to help researchers cite key resources (antibodies, model organisms, and software projects) in the biomedical literature to improve transparency of research methods. They are machine readable, free to generate and access, and consistent in format across publishers and journals.
The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large, clinical observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalisable, in whole or in part, to other fields of health research, and also to smaller observational studies and preclinical research.
Neo is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5.