#  Executive Summary

This Data Management Plan (DMP) provides an analysis of the main elements of
the data management policy used by the project with regard to all the datasets
that have been generated by the project. The DMP has evolved during the
lifespan of the project. This is the final version of the DMP produced during
the project.

#  Background

The purpose of this Data Management Plan (DMP) is to provide an analysis of
the main elements of the data management policy used by the project with
regard to all the datasets that have been generated by the project.

The DMP was not a fixed document, but evolved during the lifespan of the
project. This is the final version, representing the position after project
completion.

The DMP will address the points below on a dataset by dataset basis and should
reflect the final status of reflection within the consortium about the data
that has been produced.

The approach to the DMP follows that outlined in the “​  _Guidelines_ _on_
_Data_ _Management_ _in_ _Horizon_ _2020_ _​_ ”  (Version 2.1, 15 February
2016).

**Dataset reference and name: ​** Identifier for the data set to be produced.

**Dataset description: ​** Description of the data that will be generated or
collected, its origin (in case it is collected), nature and scale and to whom
it could be useful, and whether it underpins a scientific publication.
Information on the existence (or not) of similar data and the possibilities
for integration and reuse.

**Standards and metadata: ​** Reference to existing suitable standards of the
discipline. If these do not exist, an outline on how and what metadata will be
created.

**Data sharing: ​** Description of how data will be shared, including access
procedures, embargo periods (if any), outlines of technical mechanisms for
dissemination and necessary software and other tools for enabling re-use, and
definition of whether access will be widely open or restricted to specific
groups. Identification of the repository where data will be stored, if already
existing and identified, indicating in particular the type of repository
(institutional, standard repository for the discipline, etc.). In case the
dataset cannot be shared, the reasons for this should be mentioned (e.g.
ethical, rules of personal data, intellectual property, commercial, privacy-
related, security-related).

**Archiving and preservation (including storage and backup): ​** Description
of the procedures that will be put in place for long-term preservation of the
data. Indication of how long the data should be preserved, what is its
approximate final volume, what the associated costs are and how these are
planned to be covered.

#  1 Admin Details

**Project Title:​** Audio Commons: An Ecosystem for Creative Reuse of Audio
Content

**Project Number:​** 688382

**Funder:​** European Commission (Horizon 2020)

**Lead Institution:​** Universitat Pompeu Fabra (UPF)

**Project Coordinator:​** Prof Xavier Serra

**Project Data Contact:​** Sonia Espi, sonia.espi@upf.edu

**Project Description: ​** The democratisation of multimedia content creation
has changed the way in which multimedia content is created, shared and
(re)used all over the world, yielding significant amounts of user-generated
multimedia resources, big part shared under open licenses. At the same time,
creative industries need to reduce production costs in order to remain
competitive. There is, therefore, an opportunity for creative industries to
incorporate such content in their productions, but there is a lack of
technologies for easily accessing and incorporating that type content in their
creative workflows. In the particular case of sound and music, a huge amount
of audio material like sound samples, soundscapes and music pieces, is
available and released under Creative Commons licenses, both coming from
amateur and professional content creators. We refer to this content as the
'Audio Commons'. However, there exist no practical ways in which Audio Commons
can be embedded in the production workflows of the creative industries, and
licensing issues are not easily handled across the production chain. As a
result, most of this content remains unused in professional environments. The
aim of this project is to create an ecosystem of content, technologies and
tools to bring the Audio Commons to the creative industries, enabling
creation, access, retrieval and reuse of Creative Commons audio content in
innovative ways that fit the requirements of the use cases considered (e.g.,
audiovisual, music and video games production).Furthermore, we tackle rights
management challenges derived from the content reuse enabled by the created
ecosystem and research about emerging business models that can arise from it.
Our project will benefit creative industries by providing new and innovative
creativity supporting tools and reducing production costs, and will benefit
content creators by offering a channel to expose their works to professional
environments and to allow them to (re)licence their content.

#  2 Dataset Information

##  DS 2.1.1: Requirements survey

**Dataset reference and name**

DS 2.1.1: Requirements survey

**Dataset description**

Results from survey of creative industry content users in Task 2.1: "Analysis
of the requirements from creative industries". This data supports Deliverable
D2.1: "Requirements report and use cases", and has over 660 responses.

WP: WP2 / Task: Task 2.1

Responsible: QMUL (& MTG-UPF)

**Standards and metadata**

Text document (CSV file)

**Data sharing**

Anonymized form available at the link  1  . Corresponding DOI: ​
**10.5281/zenodo.832644**

**Archiving and preservation (including storage and backup)**

Available on Zenodo.

Final size (Bytes): 653 kB

##  DS 2.2.1: Audio Commons Ontology

**Dataset reference and name**

DS 2.2.1: Audio Commons Ontology

**Dataset description**

Definition of Audio Commons Ontology, the formal ontology for the Audio
Commons Ecosystem. Data form of D2.2: Draft ontology specification and D2.3:
Final ontology specification. WP: WP2 / Task: Task 2.2 Responsible: QMUL

**Standards and metadata**

OWL Web Ontology Language

**Data sharing**

Available at _​ https://w3id.org/ac-ontology/aco  _ as OWL in multiple
serialization formats and HTML documentation (via HTTP content negotiation).

**Archiving and preservation (including storage and backup)** Maintained on
GitHub in repository ​  _AudioCommons/ac-ontology_

Snapshot of current version (v1.2.3) uploaded to Zenodo and available at _​
10.5281/zenodo.2553184  _ Size (Bytes): 65.1K

##  DS 2.6.1: Audio Commons Mediator data

**Dataset reference and name**

DS 2.6.1: Audio Commons Mediator data

**Dataset description**

Freesound and Jamendo content exposed in the Audio Commons Ecosystem. Not
strictly a “dataset”, rather a service providing access to data.

WP: WP2 / Task: Task 2.6

Responsible: MTG-UPF (v1) & QMUL (v2)

**Standards and metadata**

Audio Commons Ontology

**Data sharing**

Available via ACE Mediator versions 1 and 2.

_http://m.audiocommons.org/_ _http://m2.audiocommons.org/_

**Archiving and preservation (including storage and backup)**

Dynamic service availability, no plans to provide a “snapshot”.

Estimated final size (Bytes): N/A

##  DS 3.3.1: Business model workshop notes and interviews

**Dataset reference and name**

DS 3.3.1: Business model workshop notes and interviews

**Dataset description**

Notes/transcripts from workshop in Task 3.3 "Exploration of Business Models in
the ACE". This data will support Deliverables D3.4 and D3.5.

WP: WP3 / Task: Task 3.3 Responsible: Surrey-CoDE

**Standards and metadata**

Text documents

**Data sharing**

Data collected and stored according to ethics policy and approval. Can be made
available upon request and following a confidentiality agreement. To request
access, contact Dr Carla Bonina (c.bonina@surrey.ac.uk).

**Archiving and preservation (including storage and backup)** Workshop
recordings and notes stored in a secured project drive.

Estimated final size (Bytes): 100K

##  DS 4.2.1: Semantic annotations of musical samples

**Dataset reference and name**

DS 4.2.1: Semantic annotations of musical samples

**Dataset description**

Ground truth annotations of datasets used to evaluate the algorithms included
in the AC tool for the annotation of music samples. Supporting data for
deliverables D4.4, D4.10, D4.12. WP: WP4 / Task: Tasks 4.2 and 4.4.

Responsible: MTG-UPF

**Standards and metadata**

Ground truth annotations are stored using standard CSV format.

**Data sharing**

Ground truth annotations public in Zenodo:
https://zenodo.org/record/2546754#.XEcmny2ZOL4. The audio they refer to is not
always openly available due to licensing constraints, but instructions are
provided about how to obtain the audio. Ground truth annotations contain
references to the original audio files.

**Archiving and preservation (including storage and backup)**

Archived and stored in Zenodo research data repository.

Size (Bytes): 2M

##  DS 4.3.1: Semantic annotations of musical pieces

**Dataset reference and name**

DS 4.3.1: Semantic annotations of musical pieces

**Dataset description**

Results of music piece descriptions such as bpm, tonality or chords. The
specific audio properties included in the semantic annotation are chords,
tempo, beats, global-key, keys, tuning, instruments. Supporting data for
deliverables D4.3, D4.8, D4.13.

WP: WP4 / Task: Task 4.3 Responsible: QMUL **Standards and metadata**

Annotations are stored using the standard JSON format, and with a converter to
a Semantic Web format (JSON-LD), and following the Audio Commons Ontology
definition.

**Data sharing**

Public: Access via Audio Commons API

**Archiving and preservation (including storage and backup)**

Data stored in ACE Server. Annotation size estimate: 66kBytes per file x 100k
files = 6.6 GBytes Amount of data will be growing along with the usage of the
web service.

##  DS 4.3.2: MediaEval AcousticBrainz Genre

**Dataset reference and name**

DS 4.3.2: MediaEval AcousticBrainz Genre

**Dataset description**

MediaEval AcousticBrainz Genre dataset contains genre and subgenre annotations
of music recordings extracted from four different online metadata sources,
including editorial metadata databases maintained by music experts and
enthusiasts (AllMusic and Discogs) as well as collaborative music tagging
platforms (Lastfm and Tagtraum). In addition, it includes music features
precomputed from audio for every annotated music recording. All music features
are taken from the community-built database _​ AcousticBrainz  _ and were
extracted from audio using  _E_ ​ _ ssentia  ​ _ ,  an open-source library for
music audio analysis.

For the purposes of AcousticBrainz Genre Task held within MediaEval
Benchmarking Initiative for Multimedia Evaluation in ​  _2017_ and _​ 2018  _
,​ the dataset is split into development and validation and testing set in a
70%-15%-15% proportion. The development set contains annotations from AllMusic
(1353213 recordings annotated by 21 genres and 745 subgenres), Discogs (904944
recordings, 15 genres, 300 subgenres), Lastfm (566710 recordings, 30 genres,
297 subgenres), and Tagtraum (486740 recordings, 31 genres, 265 subgenres).

WP: WP4 / Task: Tasks 4.3. Responsible: MTG-UPF **Standards and metadata**

Ground truth annotations are provided using standard TSV files. Music features
are provided in JSON

files.

**Data sharing**

Full dataset description available here:

_https://multimediaeval.github.io/2018-AcousticBrainz-Genre-Task/data/_
Dataset contents available in Zenodo:

  * _https://zenodo.org/record/2553414_

  

  * _https://zenodo.org/record/2554044_

  

**Archiving and preservation (including storage and backup)**

Archived and stored in Zenodo research data repository.

Size (Bytes): 40G

##  DS 4.4.1: Evaluation results of annotations of musical samples

**Dataset reference and name**

DS 4.4.1: Evaluation results of annotations of musical samples

**Dataset description**

Results of evaluation of automatic methods for the semantic annotation of
music samples. These results include the output of the analysis algorithms run
on the datasets annotated with ground truth data. Supporting data for
deliverables D4.4, D4.10 and D4.12.

WP: WP4 / Task: Task 4.4 Responsible: MTG-UPF **Standards and metadata**

Ground truth annotations are stored using standard CSV format.

**Data sharing**

Automatically generated annotations public in Zenodo:
https://zenodo.org/record/2546643#.XEcKpS2ZOL4.

The audio they refer to is not always openly available due to licensing
constraints, but instructions are included for obtaining the audio. Provided
annotations contain references to the original audio files.

**Archiving and preservation (including storage and backup)**

Archived and stored in Zenodo research data repository.

Size (Bytes): 4.7M

##  DS 4.5.1: Evaluation results of annotations of musical pieces

**Dataset reference and name**

DS 4.5.1: Evaluation results of annotations of musical pieces

**Dataset description**

Results of evaluation of automatic methods for the semantic annotation of
music pieces. Results include human evaluations via questionnaire. Supporting
data for deliverables D4.5, D4.11 WP: WP4 / Task: Task 4.5 Responsible: QMUL
**Standards and metadata**

Tabular (e.g. CSV) and freeform text

**Data sharing**

Statistical analysis: Public in D4.11. User evaluations: data collected and
stored according to ethics policy and approval.

**Archiving and preservation (including storage and backup)**

Project document server, personally identifiable data password-protected.
Consent forms stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K

##  DS 4.6.1: Evaluation results of musical annotation interface

**Dataset reference and name**

DS 4.6.1: Evaluation results of musical annotation interface

**Dataset description**

Results of evaluation of interface for manually annotating musical content, in
terms of its usability and its expressive power for annotating music samples
and music pieces. The evaluation was carried out with real users and in
combination with the evaluation of Task 5.4. Supporting data for deliverable
D4.9

WP: WP4 / Task: Task 4.6 Responsible: MTG-UPF **Standards and metadata**

Free text and Tabular (e.g. CSV)

**Data sharing**

Project partners only.

**Archiving and preservation (including storage and backup)**

Anonymized data stored in project document server.

Estimated final size (Bytes): 1M

##  DS 4.7.1: Outputs of integrated annotation technology: Musical content

**Dataset reference and name**

DS 4.7.1: Outputs of integrated annotation technology: Musical content

**Dataset description**

Annotations of Freesound and Jamendo content. Success in Task 4.7 will result
in at least 70% of Freesound (musical content) and Jamendo content annotated
with Audio Commons metadata as defined in the Audio Commons Ontology.

WP: WP4 / Task: Task 4.7

Responsible: MTG-UPF & Jamendo **Standards and metadata**

Annotations for Freesound are stored using standard JSON format.

Annotations for Jamendo are stored using standard JSON format and include the
Jamendo identifier as part of the “_id” field, which has the form “jamendo-
tracks:<jamendo-id>”. Using the Jamendo id, further metadata and audio can be
requested through the _​ Jamendo  _ _API_

(https://developer.jamendo.com/).

**Data sharing**

Freesound integration analysis results available in Zenodo:
https://zenodo.org/record/2546812#.XEc2ZC2ZOL4 Jamendo integration analysis
results available in Zenodo:  _https://doi.org/10.5281/zenodo.2551256_

**Archiving and preservation (including storage and backup)**

Data stored in Zenodo.

Estimated final size (Bytes): 160M (Freesound analysis output) + 6.6GB
(Jamendo analysis output)

##  DS 5.1.1: Timbral Hierarchy Dataset

**Dataset reference and name**

DS 5.1.1: Timbral Hierarchy Dataset

**Dataset description**

Data relate to Deliverable D5.1 which: (i) generated a hierarchy of terms
describing the timbral attributes of audio; (ii) determined the search
frequency for each of these terms on the  _www.freesound.org_ _​_ audio
database.

WP: WP5 / Task: Task 5.1

Responsible: Surrey-IoSR (& MTG-UPF)

**Standards and metadata**

Data comprises excel and csv files, Python code, figures and documentation.

**Data sharing**

Public. DOI:10.5281/zenodo.167392 **Archiving and preservation (including
storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 6.5M

##  DS 5.2.1: Timbral Characterisation Tool v0.1 Development Dataset

**Dataset reference and name**

DS 5.2.1: Timbral Characterisation Tool v0.1 Development Dataset

**Dataset description**

Audio files, test interfaces, and results of listening experiments on timbre
perception, carried out to inform the specification of required enhancements
to existing metrics, and of modelling approaches for significant timbral
attributes not yet modelled.

WP: WP5 / Task: Task 5.2 Responsible: Surrey-IoSR **Standards and metadata**

Various (Datasets include multiple audio files as well as test interfaces, and
other ancillary files)

**Data sharing**

Data collected and stored anonymously according to ethics policy and approval.

Public. DOI:10.5281/zenodo.2545488

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 50MB

##  DS 5.2.2: Timbral Characterisation Tool v0.1

**Dataset reference and name**

DS 5.2.2: Timbral Characterisation Tool v0.1

**Dataset description**

Computer code implementing the timbral models developed in Task 5.2 and
delivered in D5.2.

WP: WP5 / Task: Task 5.2 Responsible: Surrey-IoSR **Standards and metadata**

Computer code plus documentation. **Data sharing**

Public. DOI:10.5281/zenodo.2545492

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 150kB

##  DS 5.3.1: Timbral Characterisation Tool v0.1 Evaluation Dataset

**Dataset reference and name**

DS 5.3.1: Timbral Characterisation Tool v0.1 Evaluation Dataset

**Dataset description**

Audio files, test interfaces, and results of evaluation of automatic methods
for the semantic annotation of non-musical content, including listening tests
where appropriate. Annotations will be evaluated against the timbral
descriptor hierarchy defined in Task 5.1. Supporting data for Deliverables
D5.3, D5.7

WP: WP5 / Task: Task 5.3

Responsible: Surrey-CVSSP & Surrey-IoSR

**Standards and metadata**

Various (Datasets include multiple audio files as well as test interfaces, and
other ancillary files)

**Data sharing**

Data collected and stored anonymously according to ethics policy and approval.
Public. DOI:10.5281/zenodo.2545494

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 1.5GB

##  DS 5.4.1: Evaluation results of non-musical annotation interface

**Dataset reference and name**

DS 5.4.1: Evaluation results of non-musical annotation interface

**Dataset description**

Results of evaluation of interface for manually annotating non-musical
content, in terms of its usability and its expressive power for annotating.
The evaluation wa carried out with real users and in

combination with the evaluation of Task 4.6. Supporting data for deliverable
D5.5.

WP: WP5 / Task: Task 5.4 Responsible: MTG-UPF **Standards and metadata**

Free text and Tabular (e.g. CSV)

**Data sharing**

Project partners only.

**Archiving and preservation (including storage and backup)**

Anonymized data stored in project document server.

Estimated final size (Bytes): 1M

##  DS 5.5.1: Outputs of integrated annotation technology: Non-Musical content

**Dataset reference and name**

DS 5.5.1: Outputs of integrated annotation technology: Non-Musical content

**Dataset description**

Annotations of Freesound content. Success in Task 5.5 will result in at least
70% of Freesound (non-musical) content annotated with Audio Commons metadata
as defined in the Audio Commons

Ontology. This will incorporate datasets DS 4.2.1 and DS 4.3.1.

WP: WP5 / Task: Task 5.5 Responsible: MTG-UPF **Standards and metadata**

Annotations for Freesound are stored using standard JSON format.

**Data sharing**

Freesound integration analysis results available in Zenodo:
https://zenodo.org/record/2546812#.XEc2ZC2ZOL4 **Archiving and preservation
(including storage and backup)**

Data stored in Zenodo.

Estimated final size (Bytes): 160M (Freesound analysis output)

##  DS 5.6.1: FSDKaggle2018

**Dataset reference and name**

DS 5.6.1: FSDKaggle2018 **Dataset description**

Freesound Dataset Kaggle 2018 (or FSDKaggle2018 for short) is an audio dataset
containing 18,873 audio files annotated with labels from 41 general audio
categories from Google's _​ AudioSet  _ Ontology. All audio samples in this
dataset are gathered from _​ Freesound  ​ _ .  All sounds in Freesound are
released under Creative Commons (CC) licenses. In particular, all Freesound
sounds included in FSDKaggle2018 are released under either _​ CC-BY  _ or _​
CC0  ​ _ .  For attribution purposes and to facilitate attribution of these
files to third parties, this dataset includes a relation of audio files and
their corresponding license.

WP: WP5 / Task: Task 5.5 Responsible: MTG-UPF **Standards and metadata**

Ground truth annotations are provided using standard CSV files. Audio files
are as uncompressed

PCM 16 bit, 44.1 kHz, mono.

**Data sharing**

Ground truth annotations and audio publically available in Zenodo: _​
https://zenodo.org/record/2552860#.XFD1cfwo-V4  _ **Archiving and preservation
(including storage and backup)**

Archived and stored in Zenodo research data repository.

Estimated final size (Bytes): 5G

##  DS 5.6.2: Timbral Characterisation Tool v0.2 Development Dataset

**Dataset reference and name**

DS 5.6.2: Timbral Characterisation Tool v0.2 Development Dataset

**Dataset description**

Audio files, test interfaces, and results of listening experiments on timbre
perception, carried out to inform the specification of required enhancements
to existing metrics, and of modelling approaches for significant timbral
attributes not yet modelled.

WP: WP5 / Task: Task 5.2

Responsible: Surrey-IoSR & Surrey-CVSSP

**Standards and metadata**

Various (Datasets include multiple audio files as well as test interfaces, and
other ancillary files)

**Data sharing**

Data collected and stored anonymously according to ethics policy and approval.
Public. DOI:10.5281/zenodo.2545496

**Archiving and preservation (including storage and backup)**

Estimated final size (Bytes): 1.3GB

##  DS 5.6.3: Timbral Characterisation Tool v0.2

**Dataset reference and name**

DS 5.6.3: Timbral Characterisation Tool v0.2

**Dataset description**

Computer code implementing the timbral models developed in Task 5.2 and
delivered in D5.6.

WP: WP5 / Task: Task 5.2

Responsible: Surrey-IoSR and Surrey-CVSSP

**Standards and metadata**

Computer code plus documentation. **Data sharing**

Public. DOI:10.5281/zenodo.2545498

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 1.0MB

##  DS 5.7.1: Timbral Characterisation Tool v0.2 Evaluation Dataset

**Dataset reference and name**

DS 5.7.1: Timbral Characterisation Tool v0.2 Evaluation Dataset

**Dataset description**

Code used in the evaluation of automatic methods for the semantic annotation
of non-musical content as delivered in Deliverable D5.6. Supporting data for
Deliverable D5.7

WP: WP5 / Task: Task 5.3

Responsible: Surrey-CVSSP & Surrey-IoSR

**Standards and metadata**

Computer code plus documentation. **Data sharing**

Public. DOI:10.5281/zenodo.1697212

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 500kB

##  DS 5.7.2: Timbral Hardness Modelling Dataset

**Dataset reference and name**

DS 5.7.2: Timbral Hardness Modelling Dataset

**Dataset description**

Audio files, test interfaces, and results of listening experiments on ​
_hardness_ perception, carried out to inform the development and testing of a
model of ​ _hardness_ perception, as delivered in Deliverable D5.6. Supporting
data for Deliverable D5.7 and journal paper by Pearce ​ _et al.​_ [2019].

WP: WP5 / Task: Task 5.3

Responsible: Surrey-CVSSP & Surrey-IoSR

**Standards and metadata**

Computer code plus documentation. **Data sharing**

Public. DOI:10.5281/zenodo.1548721

**Archiving and preservation (including storage and backup)**

Project document server, Zenodo.

Estimated final size (Bytes): 1.5GB