neurobank is a simple data management system. It's designed for neural and behavioral data, but could be used for other kinds of experiments. The software helps you generate unique identifiers for your data resources, including stimuli, protocols, and recording units. No more guessing what version of a stimulus you presented in an experiment, where you stored an important recording, and whether you've backed it up or archived it.
The data management strategy behind neurobank is simple: every resource gets a unique identifier. What are resources? Resources include sources, which are used to control an experiment, and data, which result from running the experiment. Resources do not include things that evolve, like code, figures, or manuscripts. These should be managed in a version control system.
There are two components to the neurobank system. One part is the registry, a service that stores identifiers, ensures they're unique, and resolves identifiers to the location where the resource is stored. django-neurobank is an implementation of this service that uses a postgres backend and the django REST framework.
The second component is an archive: a storage and retrieval mechanism. That's this package, which provides a basic filesystem-based archive for your resources. You can also use an external cloud-based service or a distributed filesystem like IPFS, but for i/o-intensive pipelines you'll want to have your data on a local disk. This package also provides a simple python and commandline interface for querying the registry.
Install the neurobank Python package and its dependencies:
pip install neurobank
First, initialize an archive:
nbank [-a username:password] [-r registry-url] init [-n name] my-archive-path
my-archive-path must be a directory on a locallly-accessible filesystem (which could be an NFS or SSHFS mount).
registry-url specifies the registry to use, which can be any service that implements the API defined in django-neurobank can be used. If not supplied, the script will try to use the value of the environment variable
NBANK_REGISTRY. The registry URL also determines the base URL for the resource identifiers. For example, if the registry is at
http://melizalab.org/neurobank/resources/ and you deposit a resource with the identifier
st32_1_2_1, the full identifier is
st32_1_2_1 is guaranteed to be unique within this domain.
If your registry requires authentication, this must be supplied with the
-a flag, or in your netrc file.
The script will attempt to contact the registry service through the supplied URL and add the archive. By default, the archive is named after the basename of the archive path. For example,
/home/data/intracellular would have the name
intracellular. You can can override this behavior with the
-n flag; however, the registry may only allow you to have one archive name for each path to avoid confusion. Then the script will create and initialize the archive under
my-archive-path. You'll get an error if the target directory already exists, or if the registry already has an archive with the same name.
Set archive policies
nbank.json files created in the archive directory to describe your project. The
nbank.json file is also where you'll need to set some key variables and policies. These are the settings you may want to modify:
auto_identifiers: If set to false (the default), when files are deposited, their names are used as identifiers unless the user asks for an automatically generated id. If set to true, every resource is given an automatic id.
auto_id_type: If set to
null(or not set at all), automatic ids are assigned by the registry. This is usually a short, random base-36 string. If set to
nbankscript will generate 128-bit UUIDs as identifiers.
require_hash: If set to true (the default), every resource will have a hash value calculated and stored in the registry. The registry will then be able to prevent duplicate files from being deposited under multiple identifiers.
keep_extensions: If set to true (the default), files keep their extensions when deposited. Only one file with a given base identifier can be deposited, so you can't have a
st32_1_2_1.wav, the identifier is
st32_1_2_1, and therefore you can't also have an
st32_1_2_1.jsonfile. If set to false, the extension is stripped, so
st32_1_2_1.wavwould be deposited as
st32_1_2_1. Usually you want this to be true, unless your archive only contains one kind of file.
allow_directories: If set to true, directories and their contents can be deposited as resources. The identifier is given to the directory, and the user is responsible for knowing how to interpret the contents. If set to false (the default), only regular files can be deposited.
access: Specify the
groupwho will own deposited files, and the
umaskto modify access mode. If these are not set, files will be owned by the user who deposited them.
Registering and storing resources
Before you start an experiment, register all the resources you plan to use. For example, let's say you're presenting a set of acoustic stimuli to an animal while recording neural responses. To register the stimuli:
nbank [-a user:pass] deposit [options] my-archive-path stimfile-1 stimfile-2 ...
Each stimulus will be given an identifier and moved to the archive. The command will output a JSON-encoded list of the resources that were deposited, including a mapping from the identifiers to the old filenames, if automatic identifiers were used.
deposit command takes several options:
-d, --dtype: specify the datatype for the deposited resources. Your registry may require this.
-k: specify a metadata key-value pair. You can use this flag multiple times to set multiple fields.
-H, --hash: if set,
nbankwill calculate a SHA1 hash of each file and store it in the registry. Use this if you expect the contents of the file to be unique.
-A, --auto-id: if set,
nbankwill ask the registry to assign each file an automatically generated identifier, overriding the
auto_identifierspolicy if it is set to false.
-j, --json-out: if set, the script will output info about each deposited file as line-deliminated JSON
Now run your experiment, making sure to record the identifiers of the stimuli. The short identifier suffices in most cases, but make sure you record the registry URL somewhere, too.
After the experiment, deposit the data files into the archive using the same command. If you deposit containers or directories, you're responsible for organizing the contents and assigning any internal identifiers.
Depending on your registry implementation, you may be required to specify a datatype for each deposited resource. This feature allows a single registry to store information about different kinds of resources. Each datatype has a name and a MIME content-type. Content-types can be from the official list, or they can be user-defined, like the content-type for pprox. You can get a list of the known datatypes with
nbank [-r registry-url] dtype list
You may be able to add datatypes to the registry with:
nbank [-a user:pass] [-r registry-url] dtype add dtype-name content-type
deposit command moves resource files to the archive under the
resources directory, so you can always manually locate your files based on the identifier. Resources are sorted into subdirectories using the first two characters of the identifier to avoid having too many files in one directory. For example, if the identifier is
edd0ccae-c34c-48cb-b515-a5e6f9ed91bc, you'll find the file under
nbank also acts as a command-line interface to the registry. You can perform the following operations:
nbank locate [options] id-1 [id-2 [id-3] ...]: look up the location(s) of the resources associated with each identifier. You can supply full URL-based identifiers, or short ids. If short ids are used, the default registry (specified with
NBANK_REGISTRYenvironment variable) is used to resolve the full URL.
nbank properties [options] id: queries the registry for all the properties associated with
nbank info id: returns the registry information on the resource in json format.
nbank search [options] query: searches the database for resources that match
query. The default is to search by identifier, but you can also search by hash, dtype, archive, or any metadata fields. The default is to return only the identifiers of the resources, but you can use the
-jflag to output json instead, which is useful if you want to distribute the metadata with the archive.
nbank verify [options] files: computes a SHA1 hash for each file and searches the registry for a match. Running this is a good idea before starting an experiment, as you'll be able to tell if any of your stimulus files have changed. It's also useful if the same identifier is used in more than one domain or if you have a data file that was inadvertently renamed.
nbank modify [-k key=value] id: update the metadata for
-kflags can be used.
To be written
See docs/examples for some additional notes on how the Meliza Lab uses neurobank.
One of the primary uses for neurobank is to allow multiple users to share a common set of data, thereby reducing the need for temporary copies and ensuring that a canonical, centralized backup of critical data can be maintained. In this case, the following practices are suggested for POSIX operating systems:
- For each project, create a separate group and make the archive owned by the group. To give a user access to the data, add them to the group.
- To restrict access to users not in the project group, set your umask to 027 before creating the archive.
- Set the setgid (or setuid) bit on the subdirectories of the archive, so that files added to the archive become owned by the group. (
chmod 2770 resources metadata). You may also consider setting the sticky bit so that files and directories can't be accidentally deleted.
- If your filesystem supports it, set the default ACL on subdirectories so that added files are accessible only to the group. (
setfacl -d -m u::rwx,g::rwx,o::- resources metadata).
Unit tests are included, but you'll need a running registry. Set the
NBANK_REGISTRY environment variable to the registry's URL, and if needed make an entry in
.netrc with the required credentials.
neurobank is licensed under the GNU Public License, version 2. That means you are free to use the code for anything you want, including a commerical work, but you have to provide the source code, including any modifications you make. You still own your data files and any associated metadata. See COPYING for more details.