#  Introduction

Immersify is part of the Open Research Data pilot and therefore has an
obligation to prepare a Data Management Plan (DMP). Proper DMP is an important
part of the project strategy to achieve specific dissemination 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 to what kind of
content is managed (research publications, video footage, software, etc.) and
the country 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 share platform, will serve all the video datasets (raw and
encoded).

As Immersify is an innovation project, only limited research activities will
be conducted, and therefore 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confidential and will not be published as open data.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 of the optimization of the video codec developed in WP3 “Immersive
Display” and WP4 “Encoding and Streaming” are classified as confidential. The
main reason for this decision is that those results include confidential
information related to commercial products of the companies involved in the
Project

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 external stakeholders that participate in
the project. All private information will be anonymized before release to the
public. Research publications on, e.g. business case studies, will in
particular be required to respect 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 by project 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 to the datasets, both for public and non-public
categories.

#  Data Summary

The overall objective of Immersify is to advance the tools required for the
distribution and exhibition of 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
and it 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 and immersive 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.  
  
<table>  
<tr>  
<th>

**Type of dataset Format Size Description**

</th> </tr>  
<tr>  
<td>

**Recorded raw video content**

</td>  
<td>

Video (Raw, TIFF, PNG)

</td>  
<td>

> 30 TB
</td>  
<td>

Different types of high quality immersive and interactive video content (8K,
8K 3D, 8K 360, 16K) will be recorded or captured in different way (e.g. laser
scanning and CG rendering) during the project lifetime. The content will be
used as a test sequences and reference materials for VR and HEVC related
software tools developed in scope of the project.

</td> </tr>  
<tr>  
<td>

**Encoded video content**

</td>  
<td>

Video (.mp4, H.265/ HEVC)

</td>  
<td>

~ 1TB

</td>  
<td>

Final versions of the raw content encoded with the H.265/HEVC codec with
various parameters and settings.

</td> </tr>  
<tr>  
<td>

**Making-of videos and pictures**

</td>  
<td>

Pictures / video

</td>  
<td>

~500GB

</td>  
<td>

During the recording sessions, pictures and/or video will be taken in order to
document the whole process itself. This content will be mainly used for guide
preparation as well as, communication, dissemination and reporting purposes.

</td> </tr>  
<tr>  
<td>

**Articles, presentations**

</td>  
<td>

Documents

(.pdf, .pptx)

</td>  
<td>

~1GB

</td>  
<td>

Different types of communication materials including research articles,
conference publications, press releases and presentations from the
conferences.

</td> </tr>  
<tr>  
<td>

**Deliverables, reports**

</td>  
<td>

Documents

(.pdf)

</td>  
<td>

~1GB

</td>  
<td>

Documents reporting project progress, achievements, and final results.

</td> </tr>  
<tr>  
<td>

**Software tools**

</td>  
<td>

Source code and binary files

</td>  
<td>

~500MB

</td>  
<td>

All software tools developed in scope of the project including
encoding/decoding tools, media player, streaming server, etc.

</td> </tr> </table>

**Table 1:** ​ Definition of datasets

All repositories of the datasets used in the project are collected in Table 2.  
  
<table>  
<tr>  
<th>

**Repository**

</th>  
<th>

**Datasets**

</th>  
<th>

**Public**

</th> </tr>  
<tr>  
<td>

**Nextcloud**

</td>  
<td>

Deliverables, financial reports, sensitive project data

</td>  
<td>

No

</td> </tr>  
<tr>  
<td>

**Google drive**

</td>  
<td>

Preliminary materials, working documents, promotional content, dissemination
materials, meetings summaries

</td>  
<td>

No

</td> </tr>  
<tr>  
<td>

**Web page**

</td>  
<td>

Project information, dissemination materials, preview of video content

</td>  
<td>

Yes

</td> </tr>  
<tr>  
<td>

**SeaFile**

</td>  
<td>

Raw and encoded video content

</td>  
<td>

No (on special request)

</td> </tr>  
<tr>  
<td>

**Git**

</td>  
<td>

Software source code

</td>  
<td>

No

</td> </tr> </table>

**Table 2:** ​ Definition of datasets

#  FAIR data

The Immersify consortium will attempt to maximize the visibility and
exploitation of the project and its 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 this purpose, 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.

##  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 is
identified 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 described in 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 made available. The
video content will be published in the dedicated section of the project
website as well as in popular video services like YouTube or Vimeo with self-
describing titles to make it findable with typical search engines (e.g.
google).

##  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 the results. Basic information about the
shared datasets will be listed on the public website of the project. 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 of 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 for specific
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 regular commercial product, it will
be delivered with full user documentation and SDK for researchers and
developers. 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 of specific cooperation with
other project or researchers some raw materials or internal data can be also
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 to register Immersify as an
international trademark.

##  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 some cases simple text
description or basic metadata will be sufficient. Multimedia datasets, the
most significant part of the shared content, generated in scope of the project
will be provided in a typical and 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 that
suitable standards will be chosen wherever possible to ease interoperability.

##  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 be purchased 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 the coming project months.

The datasets will be available as soon as they will be fully reviewed and
prepared for publication, no embargo is envisaged and Immersify will not make
any restrictions regarding the duration of their re-use. In case of long-term
interest data, they will be deposited in community repositories that are
expected to have a long lifetime (e.g. Zenodo repository). Before publication
all datasets will be validated 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 and subjective
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 can be 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.

#  Allocation of resources

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

#  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 a data centre with whole
infrastructure necessary to provide redundancy of storage resources, power
supply, network connections and cooling systems. Additionally, the data centre
is equipped with active 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.

#  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.

#  Other issues

Probably the new EU regulation - “ _REGULATION_ ​ _(EU) 2016/679 OF THE
EUROPEAN PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of
natural persons with regard to the processing 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.