Deliverable
Deliverable nameD1.4 – Data Management Plan

Project Acronym:
Grant Agreement number:
Project Title:

IMMERSIFY
762079
Audiovisual Technologies for Next Generation
Immersive Media

Revision:Authors:
Reviewers:
Delivery date:Dissemination level (Public / Confidential)

0.5
Maciej Strozyk, PSNC
Mauricio Alvarez-Mesa , Spin Digital
M6
PublicAbstract
The Data Management Plan of Immersify provides an overview on the general procedures andapproaches for good datasets management in the project, conforming to FAIR principles which
ensuring research data findable, accessible, interoperable and re-usable. This document describes
the strategy followed by Immersify project regarding data management and also a list of alreadyidentified datasets.

This project has received funding from the European Union’s Horizon 2020 research and innovation
programme under grant agreement 762079.

REVISION HISTORY
Revision

DateAuthors (Entity)

Description of changes

0.1
0.2
0.3
0.4

5 Mar 2018
21 Mar 201823 Mar 2018
29 Mar 2018

Initial content and structure
Updates and corrections
Review and corrections
General review

0.5

30 Mar 2018

Maciej Strozyk, PSNC
Maciej Strozyk, PSNC
Maciej Glowiak, PSNC
Maurcio Alvarez-Mesa,
SD
Maciej Strozyk, PSNC

Final version

CONTRIBUTORSContributor’s nameEntity

Contact e-mailMaciej StróżykMaciej Glowiak
Mauricio Alvarez-Mesa

PSNC
PSNC
SD

mackostr@man.poznan.pl
mac@man.poznan.pl
mauricio@spin-digital.com

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TABLE OF CONTENTS
Introduction

4

Data Summary

5

FAIR data

6

Making data Findable

6

Making data openly Accessible

6

Making data Interoperable

7

Increase data Re-use

7

Allocation of resources

7

Data Security

8

Ethical aspects

8

Other issues

8

LIST OF ACRONYMS
AcronymDescription

DMPData Management Plan

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1 Introduction
Immersify is part of the Open Research Data pilot and therefore has an obligation to prepare a DataManagement Plan (DMP). Proper DMP is an important part of the project strategy to achieve specificdissemination objectives and ease the access of the consortium and the general public to the data
produced during the execution of Immersify project. All partners will identify what kind of data will
be generated and how they can be managed. As a general rule, all datasets will be kept and managed
by the partner coordinating the action and gathering the data. Preservation will be done according towhat kind of content is managed (research publications, video footage, software, etc.) and thecountry where the partner coordinating the action belongs.
The repository of documents (e.g. ​Nextcloud)​ will be used to store and share among the partners all
preliminary documentation and materials required to produce the final versions of publicly available
documents covering results of the research tasks. Additionally, ​Git​, an open source distributed
version control system, will be used for software management and ​Seafile​, file sync and shareplatform, will serve all the video datasets (raw and encoded).
As Immersify is an innovation project, only limited research activities will be conducted, andtherefore only a small set of research data will be produced. In addition, some of the research results
will be classified as confidential and will not be published as open data. In particular, the results ofthe optimization of the video codec developed in WP3 “Immersive Display” and WP4 “Encoding andStreaming” are classified as confidential. The main reason for this decision is that those resultsinclude confidential information related to commercial products of the companies involved in theProject
Results produced as part of the work on WP5 “Creative Development and Demonstration”will be
included in public deliverables, and, in particular, the work performed in Task 5.3 “Quality
Assessment and Content Preparation Guidelines” will include guidelines documents that will will be
openly published and distributed.
The Immersify ensures also the adequate protection of privacy and non-disclosure or confidentiality
agreements for sensitive information regarding individuals, project partners and externalstakeholders that participate in the project. All private information will be anonymized before releaseto the public. Research publications on, e.g. business case studies, will in particular be required torespect this rule, anonymising individual and/or company names if requested and/or setting
embargo periods (so that publications appear only when their content is not commercially sensitive).
Beyond that, and in respect of privacy and confidentiality legislation, all other data generated byproject activities will be freely available.
The Immersify Data Management Plan is a living document and will be subject to change and evolve
to be adapted to needs and requirements that may arise during the project life cycle. As a minimum
the document will be updated in time with the RV1 - First project review (M14) and the final version
will be provided by month 30 (RV2 - Final review).
In the following sections it can be found the ways of data management and procedures to access tothe datasets, both for public and non-public categories.

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2 Data Summary
The overall objective of Immersify is to advance the tools required for the distribution and exhibitionof the next generation of immersive media. In order to satisfy this general goal Immersify will create
new research datasets in scope of the project as well as it will collect existing data from partners andit will also buy third parties content. All the sets of data can be divided into four main categories:● Software tools● Video content (raw and encoded)● Deliverables, reports, guidelines and dissemination materials● Articles and scientific publications
The creative industries targeted in Immersify are those connected to the Film, TV, Video, Media Art,and related areas. As the project aims to enhance tools for delivery and exhibition of VR andimmersive content, it addresses several industries across the value chain including: content
producers and creators, developers and users of post-production tools, providers of VoD services,developers and users of tools for VR devices, and film/cinema and media art exhibitors.
The table below contains a description of the datasets that partners have identified during the initial
6 months of project.
Type of dataset
Recorded raw
video content

FormatVideo (Raw,TIFF, PNG)

Size
> 30 TBEncoded videocontent

Video (.mp4,H.265/ HEVC)~ 1TB

Making-of videos
and pictures

Pictures / video~500GB

Articles,presentations

Documents(.pdf, .pptx)~1GB

Deliverables,
reports
Software tools

Documents~1GB(.pdf)
Source code and ~500MB
binary files

Description
Different types of high quality immersive andinteractive video content (8K, 8K 3D, 8K 360,16K) will be recorded or captured in differentway (e.g. laser scanning and CG rendering)
during the project lifetime. The content will
be used as a test sequences and referencematerials for VR and HEVC related softwaretools developed in scope of the project.
Final versions of the raw content encodedwith the H.265/HEVC codec with various
parameters and settings.
During the recording sessions, pictures and/or
video will be taken in order to document thewhole process itself. This content will bemainly used for guide preparation as well as,communication, dissemination and reporting
purposes.
Different types of communication materials
including research articles, conference
publications, press releases and presentations
from the conferences.
Documents reporting project progress,achievements, and final results.
All software tools developed in scope of theproject including encoding/decoding tools,
media player, streaming server, etc.

Table 1:​ Definition of datasets

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All repositories of the datasets used in the project are collected in Table 2.
Repository
NextcloudGoogle drive

SeaFileDatasets
Deliverables, financial reports, sensitive project data
Preliminary materials, working documents, promotionalcontent, dissemination materials, meetings summaries
Project information, dissemination materials, preview ofvideo content
Raw and encoded video content

Git

Software source code

Web pagePublicNoNoYes
No (on specialrequest)
No

Table 2:​ Definition of datasets

3 FAIR data
The Immersify consortium will attempt to maximize the visibility and exploitation of the project andits long-term impact, by providing as many as possible publicly available results that can be easily
discovered and re-used. Specifically, the appropriately identified datasets (videos, publications,software releases, etc.) will be generated and collected as a main project outcome. With thispurpose, the project will identify which datasets can be made public, and which could be only
available for project partners. This will be treated on a case-by-case basis.

3.1 Making data ​Findable
As not all datasets are not fully specified regarding the type and format, it is a bit too early to provide
detailed information about all metadata standards, naming conventions and clear versioning
procedures that will be applied in scope of the project. However, an important subset of the data isidentified and will be described with basic metadata in order to make it easy findable. The biggest
part of the shared datasets is video content produced by the project partners which will be describedin well-defined and structured way (web page template) and additionally a proprietary metadata file
linked with the video file will provide basic technical information about it (e.g. file format, resolution,audio standard, rights, etc.). The final audio-video content metadata format will be selected (EIDR
membership is considered), when the complete set of video content will be produced and madeavailable. The video content will be published in the dedicated section of the project website as wellas in popular video services like YouTube or Vimeo with self-describing titles to make it findable withtypical search engines (e.g. google).

3.2 Making data openly ​Accessible
In general, data generated by the project can be divided into two categories. First category includes
internal data (e.g. financial reports, confidential software modules) accessible only for project
partners and any sharing of this data is not planned. Second group is composed of ​datasets which
will be openly accessible for research society and anyone interested in project research and theresults. Basic information about the shared datasets will be listed on the public website of theproject. There will be dedicated section for communication materials including research articles,press releases and presentations as well as dedicated sub-page with all information about the video
content will be publicly available. The content itself will be published on the well-known video
services (e.g. YouTube, Vimeo) in appropriate formats and codecs ready for distribution. This part ofDeliverable 1.4
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video datasets will be easy accessible without any specialized software, only standard web browsers
and media players will be required. However, some part of the video content will be prepared forspecific visualisation installations such as caves, dome theaters or HMD devices and will not be
accessible without specialized software tools developed in scope of the project (e.g. media player
with HEVC and VR support) and dedicated hardware. As the software tools will be a regularcommercial product, it will be delivered with full user documentation and SDK for researchers anddevelopers. Selected public data (e.g guidelines documents, content descriptions) will be accessible
via project web page and the content will be stored in data centre provided by PSNC. In case ofspecific cooperation with other project or researchers some raw materials or internal data can bealso shared on the bi-directional agreement basis.
The consortium intends to keep the Immersify brand and the webpage even after the project end, so
the created datasets which are publicly available will be preserved. Project partners have agreed toregister Immersify as an international trademark.

3.3 Making data ​Interoperable
Data formats for most data generated by the Immersify project will be typical and universal (e.g.
media files, office files) and therefore elaborate metadata is not required for all datasets, in somecases simple text description or basic metadata will be sufficient. Multimedia datasets, the mostsignificant part of the shared content, generated in scope of the project will be provided in a typicaland standardized audio/video formats such as .avi or .mp4, encoded using HEVC/H.265 and for all
the movie clips the basic metadata file will be attached. In general, Immersify will make sure thatsuitable standards will be chosen wherever possible to ease interoperability.

3.4 Increase data ​Re-use
The public research data produced by the project partners will be made available under the ​Creative
Commons: Attribution-Share Alike (CC BY-SA) licence but some parts of the video content will bepurchased from the third parties companies (e.g. BBC, ScanLab) and in this case the licence type will
be negotiated on a case-by-case basis. Further licensing details have to be specified during thecoming project months.
The datasets will be available as soon as they will be fully reviewed and prepared for publication, noembargo is envisaged and Immersify will not make any restrictions regarding the duration of theirre-use. In case of long-term interest data, they will be deposited in community repositories that areexpected to have a long lifetime (e.g. Zenodo repository). Before publication all datasets will bevalidated according to the internal quality assessment procedures defined in scope of Task 5.3. An
optimal configurations of the software tools will be tuned for maximizing the content quality andsubjective tests will be prepared in order to validate the improvements in terms of data quality.
Some datasets as well as parts of them will be used in research publications and these datasets canbe potentially directly re-used to repeat the experiment or conduct further research. In that case,detailed terms and conditions for its re-use will specyfied.

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4 Allocation of resources
The cost for making data FAIR will be, for the lifetime of the project, covered by the Immersifyconsortium. All data management actions and procedures are in scope of WP1 (Management andCoordination). Regarding long-term preservation, the resources will be determined during theproject life-time based on the actual cost.

5 Data Security
PSNC (Poznan Supercomputing and Networking Center) provides secure and reliable storage(​Nextcloud, Seafile, Git instance​) for different type of datasets collected in the project. PSNC has adata centre with whole infrastructure necessary to provide redundancy of storage resources, power
supply, network connections and cooling systems. Additionally, the data centre is equipped withactive fire protection system, automatic gas extinguishing system, access control and CCTV
monitoring. Also, the construction of the whole building in which the data centre is located complies
with appropriate standards.

6 Ethical aspects
In the case of data where personal information is captured, the data will by anonymized before being
made available publicly. No other ethical issues have been identified for the project at the moment.

7 Other issues
Probably the new EU regulation - “​REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENTAND OF THE COUNCIL of 27 April 2016 on the protection of natural persons with regard to theprocessing of personal data and on the free movement of such data, and repealing Directive
95/46/EC (General Data Protection Regulation)​” will have be taken into consideration in the next
update of the DMP Deliverable because it enters into force on 25 May 2018.
No other issues have been identified so far.

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