#  Background

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

The DMP is not a fixed document, but will evolve during the lifespan of the
project.

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

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

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

**Data set 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
approximated end volume, what the associated costs are and how these are
planned to be covered.

#  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.

#  Dataset Information

Individual Dataset Information

**Data set reference and name**

DS 2.1.1: Requirements survey

##  Data set 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 to be made available with DOI.

##  Archiving and preservation (including storage and backup)

To be uploaded on Zenodo or other suitable research data repository. Estimated
final size (Bytes): 700K

DS 2.2.1: Audio Commons Ontology

##  Data set 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**

Public

##  Archiving and preservation (including storage and backup)

Stored on project document server (& github) Estimated final size (Bytes): 10K

DS 2.3.1: ACE interconnection evaluation results

##  Data set description

Results of evaluation of technological solutions for the
orchestration/interconnection of the different actors in the Audio Commons
ecosystem. Supporting data for deliverable D2.5: Service integration
technologies.

[Depending on the form of evaluation, this dataset may not be produced]

WP: WP2 / Task: Task 2.3 Responsible: QMUL (& MTG-UPF)

**Standards and metadata**

Tabular (e.g. CSV)

**Data sharing**

Public

##  Archiving and preservation (including storage and backup)

Project document store.

Estimated final size (Bytes): 100K

DS 2.5.1: ACE Service evaluation results

##  Data set description

Results of continuous assessment of ontologies, API specification and service
orchestration through the lifetime of the project, including API usage
statistics.

WP: WP2 / Task: Task 2.5 Responsible: QMUL (& MTG-UPF)

**Standards and metadata**

Tabular (e.g. CSV)

**Data sharing**

Public

##  Archiving and preservation (including storage and backup)

Project document store.

Estimated final size (Bytes): 1M

DS 2.6.1: ACE Service

##  Data set 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 (& Jamendo)

**Standards and metadata**

Audio Commons Ontology

**Data sharing**

Available via ACE service API

##  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

##  Data set description

Notes/transcripts from workshop and structured interviews 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. Anonymized
text data to be made available as Appendix to Deliverable D3.4: Report on
business models emerging from the ACE.

##  Archiving and preservation (including storage and backup)

Stored on project document server.

Estimated final size (Bytes): 100K

DS 4.2.1: Semantic annotations of musical samples

##  Data set description

Results of semantically annotating musical properties such as the envelope,
the particular note being played in a recording, or the instrument that plays
that note. Supporting data for deliverables D4.4, D4.9, D4.10, D4.11

WP: WP4 / Task: Task 4.2 Responsible: MTG-UPF (& QMUL)

##  Standards and metadata

Annotations will be stored using standard formats such as JSON and YAML, and
Semantic Web formats such as RDF/XML and N3, and following the Audio Commons
Ontology definition.

**Data sharing**

Public: Access via Audio Commons API

##  Archiving and preservation (including storage and backup)

ACE Server. Annotation size estimate: 10kBytes per file x 500k files = 5
GBytes Estimated final size (Bytes): 5 GBytes

DS 4.3.1: Semantic annotations of musical pieces

##  Data set description

Results of music piece characterisations such as bpm, tonality or structure.
The specific selection of audio properties to include in the semantic
annotation will depend on the requirements of the Audio Commons Ontology.
Supporting data for deliverables D4.4, D4.9, D4.10, D4.11 WP: WP4 / Task: Task
4.3 Responsible: QMUL (& MTG-UPF)

##  Standards and metadata

Annotations will be stored using standard formats such as JSON and YAML, and
Semantic Web formats such as RDF/XML and N3, and following the Audio Commons
Ontology definition.

**Data sharing**

Public: Access via Audio Commons API

##  Archiving and preservation (including storage and backup)

ACE Server. Annotation size estimate: 300kBytes per file x 500k files = 150
GBytes Estimated final size (Bytes): 150 GBytes

DS 4.4.1: Evaluation results of annotations of musical samples

##  Data set description

Results of evaluation of automatic methods for the semantic annotation of
music samples. Results may include human evaluations via listening tests, if
required. Supporting data for deliverables D4.4, D4.10

WP: WP4 / Task: Task 4.4 Responsible: MTG-UPF (& QMUL)

**Standards and metadata**

IPython notebooks and/or Tabular (e.g. CSV)

##  Data sharing

Statistical analysis: Public. Listening tests: Data collected and stored
according to ethics policy and approval; anonymized result data publicly
available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely on paper.

Estimated final size (Bytes): 100K DS 4.5.1: Evaluation results of annotations
of musical pieces

##  Data set description

Results of evaluation of automatic methods for the semantic annotation of
music pieces. Results may include human evaluations via listening tests, if
required. Supporting data for deliverables D4.5, D4.11

WP: WP4 / Task: Task 4.5 Responsible: QMUL (& MTG-UPF)

**Standards and metadata**

Tabular (e.g. CSV)

##  Data sharing

Statistical analysis: Public. Listening tests: Data collected and stored
according to ethics policy and approval; anonymized result data publicly
available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
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

##  Data set 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 will be 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

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K DS 4.7.1: Outputs of integrated annotation
technology: Musical content

##  Data set 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. This
will incorporate datasets DS 4.2.1 and DS 4.3.1. WP: WP4 / Task: Task 4.7
Responsible: MTG-UPF & Jamendo

##  Standards and metadata

Annotations will be stored using standard formats such as JSON and YAML, and
Semantic Web formats such as RDF/XML and N3, and following the Audio Commons
Ontology definition.

**Data sharing**

Available via ACE service API

##  Archiving and preservation (including storage and backup)

ACE Server

Estimated final size (Bytes): 150 GBytes DS 5.1.1: Timbral Hierarchy Dataset

##  Data set 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 listening tests

##  Data set 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 covered by the prototype system.

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.
To be made publicly available.

##  Archiving and preservation (including storage and backup)

Initially: Insitute of Sound Recording (IoSR).

Project document server.

Estimated final size (Bytes): 1.3GB

Individual Dataset Information

**Data set reference and name**

DS 5.3.1: Evaluation results of automatic annotation of non-musical content

##  Data set 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.
To be made publicly available.

##  Archiving and preservation (including storage and backup)

Project document server.

Estimated final size (Bytes): 30MB

DS 5.4.1: Evaluation results of non-musical annotation interface

##  Data set 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 will be 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**

Tabular (e.g. CSV)

##  Data sharing

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K DS 5.5.1: Outputs of integrated annotation
technology: Musical content

##  Data set description

Annotations of Freesound and Jamendo 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 will be stored using standard formats such as JSON and YAML, and
Semantic Web formats such as RDF/XML and N3, and following the Audio Commons
Ontology definition.

**Data sharing**

Available via ACE service API

##  Archiving and preservation (including storage and backup)

ACE Server. Annotation size estimate: 100kBytes per file x 200k files = 20
GBytes Estimated final size (Bytes): 20 GBytes

DS 6.4.1: Evaluation results of ACE for Creativity Support

##  Data set description

Results of holistic evaluation of the ACE in the context of Creativity
Support. This will include the results of novel methods to assess how the ACE
system and tools facilitate creative flow, discovery, innovation and other
relevant dimensions of creative work. Supporting data for Deliverables 6.8,
6.12. WP: WP6 / Task: Task 6.4

Responsible: QMUL (with Industrial Partners)

**Standards and metadata**

Free text and Tabular (e.g. CSV)

##  Data sharing

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K DS 6.5.1: Evaluation results of ACE in
music production

##  Data set description

Results of evaluation of ACE in music production, measure the utilities of ACE
in typical music production workflows. The results will include usability data
from beta testers available from Waves and students of Queen Mary’s Media and
Arts Technology (MAT) programme. Supporting data for Deliverable 6.4.

WP: WP6 / Task: Task 6.5 Responsible: QMUL (with Waves)

**Standards and metadata**

Free text and Tabular (e.g. CSV)

##  Data sharing

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K DS 6.6.1: Evaluation results of search and
retrieval interfaces for accessing music pieces

##  Data set description

Results of evaluation of search and retrieval interfaces for accessing Audio
Commons music pieces. The data will support assessment of how ACE supports
information seeking activities in creative music production using the web-
based interfaces created in Task 6.6. Supporting data for Deliverable D6.5.

WP: WP6 / Task: Task 6.6 Responsible: QMUL (with Jamendo)

**Standards and metadata**

Free text and Tabular (e.g. CSV)

##  Data sharing

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K DS 6.7.1: Evaluation results of ACE in
sound design and AV production

##  Data set description

Results of evaluation of ACE in sound design and audiovisual production. The
results will include usability data from beta testers available from
AudioGaming and students from Surrey’s Film and Video Production Engineering
BA (Hons). Supporting data for Deliverable D6.6.

WP: WP6 / Task: Task 6.7

Responsible: QMUL (with AudioGaming)

**Standards and metadata**

Free text and Tabular (e.g. CSV)

##  Data sharing

Usability data collected and stored according to ethics policy and approval;
anonymized result data publicly available.

##  Archiving and preservation (including storage and backup)

Project document server. Personally identifiable data password-protected or
stored securely offline (e.g. paper in locked filing cabinet).

Estimated final size (Bytes): 100K

DS 7.1.1: Website statistics

##  Data set description

Website visitor data and alignment with associated project events. Success in
Task 7.1 will yield 50 daily unique visitors to the AudioCommons web portal,
(excluding bots), increased by at least 50% during time periods influenced by
AudioCommons events.

WP: WP7 / Task: Task 7.1 Responsible: MTG-UPF

**Standards and metadata**

Tabular (e.g. CSV)

##  Data sharing

During project: Private (maintained on Google Analytics).

At end of project: Public (following removal of any personally identifiable
information).

##  Archiving and preservation (including storage and backup)

During project: Maintained on Google Analytics.

At end of project: Downloaded to web server, backed up on project document
server.

Storage estimate: 2k / day x 1300 days = 3 MB

Estimated final size (Bytes): 3 MBytes

DS 7.5.1: List of Key Actors in the creative community

##  Data set description

A list of Key Actors in the creative community will be built and maintained to
facilitate dissemination activities in Task 7.5. This includes personally
identifiable information such as contact details and interests, and will be
maintained according to data protection policies.

WP: WP7 / Task: Task 7.5 Responsible: MTG-UPF

**Standards and metadata**

Text document

**Data sharing**

Project partners only.

##  Archiving and preservation (including storage and backup)

Stored on project document server, in compliance with data protection
policies. Estimated final size (Bytes): 100K