iRODS stands for integrated Rule-Oriented Data System iRODS and is an Open Source Data Management software. The ZDV provides an iRODS-system too be modern data management requirements¹⁾, in particular:

• storing data at two different locations
• encrypting data
• providing or prohibiting access

If you would like to know more about the internal workings, take a look on a more detailed description.

• (Raw) input data
• Final publishable or already published data
• zipped (git) repositories of the scripts/software used to process the data.
• or even the software workflow to re-create your results.

If you want to store a lot of data (several GB), we recommend to zip/tar it to files between 5 and 200GB. If you want to store single files larger than 200GB, contact us in advance, please.

There is no need to apply for an iRODS archiving account. Every user of our HPC resources automatically gets access to iRODS. If your account is associated with a MOGON project you also get read/write access to the iRODS project collection ( /zdv/project/<PROJECT NAME> ). iRODS collections start with /zdv , whereas paths on the MOGON-filesystem do not have this prefix /zdv part in their path.

The auto-generated configuration is stored in a users home directory. Here, you can get more detailed information.

Subcollections in the home collection of individual user will be deleted once the account gets deleted. Only the /zdv/project/<PROJECT NAME> collections will be archived for an appropriate period (default: 10 years, as suggested by the DFG, Leitlinie 17).

The data saved to the above project collection is owned by the group. This means after a user leaves the project, the data can still be accessed by the other group members, as long as the access permissions are not modified.

Here is a short summary over the most important iRODS commands with some important command line parameters. All commands from the iRODS command line tools start with an i and they are installed on the mogon login nodes.

iRODS works based a kind of a virtual file system#storage_locations. The following commands can be used to for navigation and are analogous to their bash-counterparts without the i-prefix.

Each user gets a personal home under /zdv/home/${USER} and access to the associated HPC projects under /zdv/project/<PROJECT NAME>.

Accessible collections:

• /zdv/home/${USER} private directory
• /zdv/project/<PROJECT NAME> project directory
• /zdv/home/public every registered user can read/write/delete
• /zdv/trash/home/${USER} private trash bin

Uploading data to the iRODS-Archive is done with the command iput.

The checksum is calculated on the iRODS server and we highly recommend to switch it on immediately on upload. Nevertheless, You can also do it later on with ichksum -K <filename>. It creates a checksum equivalent to the command sha256sum <local filename> | cut -d “ ” -f 1 | xxd -r -p | base64, which you can compare to ensure data integrity. The checksums can be queried with ils -L.

ibun -cDtar mydir1.tar mydir

iRODS allows for fine-grained access control. You can use the ichmod command to grant or withdraw permissions with the following parameters:

-r is a useful optional parameter for recursive ACL modifications. Also, see the chmod bash manual (man chmod) for comparison.

To get data from the iRODS archive, the iget command can be used:

We provide an example page with all the used commands, so far.

Metadata, describing the archived data, are of great importance when striving for reproducible research. Only sufficient metadata describing creation and content of data will ensure a reliable lookup, if need arises.

In iRODS metadata are defined as so called AVU triplets (Attribute, Value, Unit). The first two fields (AV) are mandatory and must not be empty, the unit is optional. AV are defined as VARCHAR(2700) and U as VARCHAR(250), which means they are all text with a maximum size of 2700 and 250 characters, respectively. They might also contain JSON, XML or YAML as text.

Command Description:

The following command lists the metadata automatically associated with the previously upladed file hello_world.txt:

imeta ls -d hello_world.txt

The output of the query is:

AVUs defined for dataObj hello_world.txt:
attribute: AccessRights
value: closed
units: 
----
attribute: Creator
value: Steinkamp, J.
units: 
----
attribute: Date
value: 1566206896
units: 
----
attribute: ExpiryDate
value: 1882430896
units: 
----
attribute: Location
value: Mainz, Germany
units: 
----
attribute: protected
value: false
units: 
----
attribute: Publisher
value: Johannes Gutenberg-University
units: 
[user@login01 ~]$ 

You can now add a title, which is not created automatically:

imeta set -d hello_world.txt Title "Archive of experimental szstem from '$(date)'"

If you query the Attribute 'Table' with imeta ls -d hello_world.txt Title you get:

AVUs defined for dataObj hello_world.txt:
attribute: Title
value: Archive of experimental szstem from 'Mon Aug 19 11:39:48 CEST 2019'
units: 

$ imeta mod -d <filename> <attribute> <old value> v:<new value>

imeta mod -d hello_world.txt Title "Archive of experimental szstem from 'Mon Aug 19 11:39:48 CEST 2019'" v:"Archive of experimental system from 'Mon Aug 19 11:39:48 CEST 2019'"

Some meta data attributes are set automatically, to meet most meta data minimum standards (see our policies), those are:

• Set automatically:
  • Creator full user name
  • Publisher “Johannes Gutenberg-University”
  • Location “Mainz, Germany”
  • Date Unix timestamp
  • ExpiryDate Date + 10 years
  • protected (default: “false”)

• User input required:
  • Title free text
  • Description text
  • Type audio, data set, image, source code, …
  • Format simply the file format (e.g. output from *file* command)
  • AccessRights “closed”, “restricted”, “embargoed”, “open” (default: “closed”)
    • AccessConditions if AccessRights is “resticted” (not yet)
    • EmbargoDate if AccessRights is “embargoed” (not yet)

If the dataset should be FAIR (Findable, Accessible, Interaperable, Reusable) are also mandatory:

• AccessRights must not be “closed”
• Identifier (provided by ZDV/UB, only if attribute “protected” is set; not yet)
• License The license for reuse. Recommended: GPL for code, CC0 for data sets, otherwise CC-BY
• Keywords any keywords

• ORCID Open Researcher Contributor Identification Initiative
• Contributor co-authors
• Reference publication references

Further fields can be inserted. This depends on the scientific field and is the responsibility of the respective researcher or group.

• general
  • Dublin Core Metadata ( on wikipedia)
  • DataCite
  • https://www.ddialliance.org/Data Documentation Initiative
  • RADAR
  • schema.org
• subject specific
  • Digital Curation Centre

[user@login01 ~]$ ilocate -t "hello_world.txt" 
/zdv/home/user/hello_world.txt
/zdv/home/public/hello_world.txt

You must know, if you want to search for a data object (-d) or a collection (-C). And you can use SQL wildcards (%), if you don't know the exact pattern you are looking for. The wildcard pattern matching is also applicable for ilocate.

[user@login01 ~]$ imeta qu -d Title like "Archive%"
collection: /zdv/home/user
dataObj: hello_world.txt

For this complex syntax consult the Online help.

For public access a ticket needs to be created for collections or data objects. For example, if you use the above uploaded hello_world.txt file again.

[user@login01 ~]$ iticket create read hello_world.txt
ticket:ACR2RKDyuZMBRmb

With this ticket and the path everybody can query information and the content of collections and data objects vi a provided REST-API. JSON strings are returned for valid URLs.

[user@login01 ~]$ curl https://irods-web.zdv.uni-mainz.de/irods-rest/rest/dataObject/zdv/home/jsteinka/hello_world.txt?ticket=ACR2RKDyuZMBRmb

{"id":1808764,
 "collectionId":24346,
 "dataName":"hello_world.txt",
 "collectionName":"/zdv/home/jsteinka",
 "dataReplicationNumber":0,
 "dataVersion":0,
 "dataTypeName":"generic",
 "dataSize":24,
 "resourceGroupName":"",
 "resourceName":"netappResc",
 "dataPath":"/fsapp/iRODS/Vault/home/jsteinka/hello_world.txt",
 "dataOwnerName":"jsteinka",
 "dataOwnerZone":"zdv",
 "replicationStatus":"1",
 "dataStatus":"",
 "checksum":"sha2:XPdR4XQP49lWUGEfPJz0Jo+kmkndGxz6rCQUzCqHteA=",
 "expiry":"00000000000",
 "dataMapId":0,
 "comments":"",
 "createdAt":1566206868000,
 "updatedAt":1566206868000,
 "specColType":"NORMAL",
 "objectPath":""
}

[user@login01 ~]$ curl https://irods-web.zdv.uni-mainz.de/irods-rest/rest/dataObject/zdv/home/jsteinka/hello_world.txt/metadata?ticket=ACR2RKDyuZMBRmb

{"metadataEntries": [
    {"count":1,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"AccessRights",
     "value":"closed",
     "unit":""},
    {"count":2,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"Publisher",
     "value":"Johannes Gutenberg-University",
     "unit":""},
    {"count":3,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"Location",
     "value":"Mainz, Germany",
     "unit":""},
    {"count":4,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"protected",
     "value":"false",
     "unit":""},
    {"count":5,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"Creator",
     "value":"Steinkamp, J.",
     "unit":""},
    {"count":6,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"Date",
     "value":"1566206896",
     "unit":""},
    {"count":7,
     "lastResult":true,"
     totalRecords":0,
     "attribute":"ExpiryDate",
     "value":"1882430896",
     "unit":""},
    {"count":8,
     "lastResult":true,
     "totalRecords":0,
     "attribute":"Title",
     "value":"Archive of experimental system from 'Mon Aug 19 11:39:48 CEST 2019'",
     "unit":""}],
"objectType":"DATA_OBJECT","uniqueNameString":"/zdv/home/jsteinka/hello_world.txt"}

The file content can be viewed with curl or downloaded with wget.

curl https://irods-web.zdv.uni-mainz.de/irods-rest/rest/fileContents/zdv/home/jsteinka/hello_world.txt?ticket=ACR2RKDyuZMBRmb

curl https://irods-web.zdv.uni-mainz.de/irods-rest/rest/collection/zdv/home/public/helloCollection?ticket=mbyAAFGm7vhUdyM

{
 "collectionId":1808781,
 "collectionName":"/zdv/home/public/helloCollection",
 "objectPath":"",
 "collectionParentName":"/zdv/home/public/",
 "collectionOwnerName":"rods",
 "collectionOwnerZone":"zdv",
 "collectionMapId":"0",
 "collectionInheritance":"",
 "comments":"",
 "info1":"",
 "info2":"",
 "createdAt":1566213731000,
 "modifiedAt":1566213731000,
 "specColType":"NORMAL",
 "children":[]
}

the URL for the REST-API consists of:

• Server (https://irods-web.zdv.uni-mainz.de/irods-rest/rest)
• what (collection|dataObject|fileContents)
• iRODS path
• optionally 'metadata'
• Ticket string (?ticket=1234567890)

For further information, please read the original IRODS-REST documentation

The “Creator” is the responsible person in the sense of the Urheberrechtsgesetz, taking care that reusing of third party data is legal and in the sense of the DSGVO, that personal data is handled correctly. Even if the “Creator” is not employed at the university any more.

There exists a decision guide if data can be published, sadly only in german.

Different kinds of Licenses exist for various cases, this here is just an incomplete list of the most common Open Access Licenses for the three most common datatypes:

• Software
  • Apache
  • GPL, GPLv2, GPLv3
  • MIT
  • BSD
• Arts, Images, Text, etc.
  • Creative Commons (Text, Arts, Photos, ...)
• Data sets
  • Open Data Commons

The applicability of CC-BY licenses for Software is not recommended: CC-recommendation and discussion. The same applies for datasets, their publication under a CC-license other than CC0 is doubtful. For other dataset licenses search at Open Definition Licenses Service.

Proprietary file formats should be avoided, since you don't know if the software to open them still exists in a few years. Try to stick to open standards.

There are a lot more commands. You can look them up in the original documentation: iRODS documentation

other wikis:

• CSC.fi
• Technical university of Denmark