odMLtables - Table-based editing of odML metadata collections¶
odMLtables is a tool to support working with metadata collections for electrophysiological data and is described in detail in Sprenger et al. (2019) odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments.
The odML file format and library API provides a means to store hierarchical metadata collections for electrophysiological data. Such collections typically consist of a large number of key-value pairs organized by a hierarchy of sections (see Grewe et al. (2011) Frontiers in Neuroinformatics 5:16). However, for editing and viewing metadata the use of standard spreadsheet software offering a flat tabular representation of a selected subset of metadata is desireable (cf., Zehl et al. (2016) Frontiers in Neuroinformatics 10:26). odMLtables provides a set of library functions as well as a graphical user interface that offers to swtich between hierarchical and flat representations of their metadata collection, and provides functions that assist in working with these files.
Currently, odMLtables supports:
converting metadata collections between the hierarchical odML format and table-based representations (i.e., xls, csv)
creating a new table for starting a metadata collection
comparing sections within a metadata collections
filtering metadata collections to extract a specific subcollection
merging multiple metadata collections into one file
If you are using odMLtables for your project please consider citing
Sprenger J, Zehl L, Pick J, Sonntag M, Grewe J, Wachtler T, Grün S and Denker M (2019) odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Front. Neuroinform. 13:62. doi: 10.3389/fninf.2019.00062