#  Section 1: Data summary

##  1.1 Purpose of the data collection/generation and relation to the
objectives of the project

The purpose of data collection/generation is to gather evidence that the
developed lab-on-chip platform can isolate and neutralize CSCs, which will
require characterization of the new device performance along with
characterization of the biological response of the samples tested (ex. cells)
using the device. Additionally it will be necessary to collect data from
biological cells tested and characterized without utilizing the developed
device (ex. by traditional petri dishes culture) in order to benchmark the
novel technology/procedures against established “gold” standards.

Therefore the collected data will include the experimental procedures for
characterization of the device along with the protocols for biological
testing. Finally, simulation data and code, for example for automatic control
of measurement instruments, will be also collected.

##  1.2 Types and formats of the data

The data will be collected in text, numerical and image formats and gathered
in files whose extension are defined by the equipment/software used for
generation and collection. Some examples include but are not limited to .xlsx
(Excel spreadsheet), .ppt(PowerPoint), .mat (Matlab), .txt (text), .s2p
(touchstone), .avi (video). Data will be generated by individuals or groups of
researchers in all involved institutions.

##  1.3 Size of the data

The expected size cannot be predicted at this stage but it is reasonable to
assume that it will hit the tens of Gigabyte range.

##  1.4 Targeted users of the collected data

The data will be useful to members of the scientific community who are willing
to reproduce and build on the described experiments or develop similar
technologies.

#  Section 2: FAIR Data

##  2.1 Making data findable, including provisions for metadata

###  2.1.1 Discoverability of data (metadata provision)

Considering the strongly interdisciplinary nature of the project SUMCASTEC's
consortium favors the adoption of a broad and domain agnostic metadata
standard that the EU recommends to its member states for recording information
about research activity: the Common European Research Information Format
(CERIF) standard is described at  _http://www.eurocris.org/cerif/main-
features-cerif_

An additional advantage of a CERIF inspired standard is that SUMCASTEC's DMP
managing institution (Bangor University) currently uses a research information
system developed by Elsevier that implements the CERIF standard (PURE).

###  2.1.1 Identifiability of data

For publication data unique identifiers such as Digital Object Identifiers
will be used. For other data the identification mechanism described in "Naming
and convention used" will be adopted.

###  2.1.1 Naming and conventions used

The following structure is proposed for a SUMCASTEC data set identifier:

“Project”_“Date”_”Time”_”Name”_”Type”_”Extension”_”Place”_”Creators”_“Target
user”_”Other”

Where:

  * “Project” is the project name (SUMCASTEC by default). 

  

  * “Date” is the date in format “YYMMDD” which is chosen to allow data that was taken at similar dates to be stored in close locations. For the same reason the date and time fields are set to precede the name field. 

  

  * “Time”: is the time in format “HHMMSS” if relevant, or NA by default. 

  

  * “Name” is a short name for the data. 

  

  * “Type” describes the type of data (e.g. publication, measured data, simulation data, protocol description …). 

  

  * “Extension” describes the data file extension. 

  

  * “Place” describes the location where the data were produced. 

  

  * “Creators” defines the individual(s) who generated the data. 

  

  * “Target user” defines the target audience of the data, if known. 

  

  * “Other” is an optional field for additional details (whose default value is NA). 

  

For example:

“SUMCASTEC”_“170519”_”092134”_”Sparameters”_”Measured”_”txt”_”Bangor”_”Cr

C. Palego”_“Patners and public”_”NA”

is a file named Sparameters that was taken on May 19  th  2017 at 9:21 AM and
contains measured data with txt extension. Such data was generated in Bangor
by C. Palego and its storage target SUMCASTEC partners as well as general
public. A simple excel spreadsheet has been created and will be distributed to
all partners for a highly automatized generation of file names using the
described format. An example of the file name generated using such a tool is
visible in figure 1.

**Figure**

**1**

**:**

**simple Excel utility to be distributed to all partners for generation of
da**

**ta name according to the**

**DMP convention.**

###  2.1.2 Approach towards keywords

For publication data the official keywords list provided by the publisher will
be used. For other data keywords will be selected by the data owner.

##  2.2 Making data openly accessible

###  2.2.1. Data to be made publicly available and rationale for keeping some
data closed

**Publications:** Partners will be free to publish and disseminate their own
results according to the procedure defined and agreed in the Consortium
Agreement. The consortium will comply with the Grant Agreement open access
clause for the publications generated from the project, but will deposit them
into institutional

(closed) repositories like the University of Limoges’ Ucloud (
_https://ucloud.unilim.fr_ )  before moving them to public data repositories
like Zenodo (  _https://zenodo.org_ )  . The timing and approach in moving
publications to the public repository is similar to those for the other data
and is discussed in next session.

**Other data:** SUMCASTEC's partners strive for maximum openness of data
collected and generated during the project but reserve the right to evaluate
which data will be made publicly available along with the time for publication
on a case by case basis. The "Guidelines for FAIR Data Management in Horizon
2020" recognize the need to balance openness and protection of scientific
information, commercialization and Intellectual Property Rights (IPR), privacy
concerns, security as well as data management and preservation questions. It
is expected that the dominant causes for enforcing data access restriction
during SUMCASTEC will be protection of IPR and commercialization strategies.
It is also expected that the openness stance regarding individual items can be
reviewed and updated periodically. For example, test results or experimental
protocols can be made publicly available after the consortium has filed for
the corresponding patents.

The decision as to data openness and availability time will be made through a
vote held by the steering board. If the amount and quality of data is deemed
to require an extraordinary board consultation, a meeting will be scheduled at
the earliest convenience. Otherwise the steering board will hold a vote in the
frame of the scheduled consortium meetings.

###  2.2.2. Methods to access the data

SUMCASTEC has chosen the Zenodo (  _https://zenodo.org_ )  repository for
storing the project data and a SUMCASTEC project account has been thereby
created. Zenodo is a repository supported by CERN and the EU OpenAire project,
is open, free, searchable and structured with flexible licensing allowing for
storing all types of data: datasets, images, presentations, publications and
software. Additionally:

  * The repository has backup and archiving capabilities. 

  

  * The repository allows for integration with github.com3 (a platform providing a free and flexible tool for code developing and storage) which could be used for storing of code generated during the project (ex. code for data analysis and automated measurement setup drivers). 

  

  * The repository can be set to restrict access to the data under embargo status until a chosen date; then the content becomes publically available automatically. 

  

  * Zenodo assigns all publicly available uploads a Digital Object Identifier (DOI) to make the upload easily and uniquely citable. 

  

Finally, the documentation about the software needed to access the data will
be included by means of a text file that will be periodically updated.

###  2.2.2. Restricted area access

If an embargo is sought to give the consortium time to publish or seek IPR
protection, data will be accessible through Zenodo.org to consortium members
only until the agreed embargo expiration date.

##  2.3 Making data interoperable

###  2.2.1. Data interoperability and used vocabulary

The depositors will strive for adhering to standards for formats, as much as
possible compliant with available (open) software applications as from the
CERIF guidelines. They will also strive for using a standard vocabulary for
all data types present to allow inter-disciplinary interoperability.

##  2.4 Increase data re-use (through clarifying licences)

###  2.4.1. Data licensing

The flexible licensing capability embedded in Zenodo will be leveraged to
partition the repository space in an open area and a restricted access area
with the aim to transfer as much data as possible to the open area at the
earliest convenience. Sharing of data with restricted access will be possible
only by the depositor’s approval.

###  2.4.2. Reusability at the end of the project

The data produced and/or used in the project will be useable by third parties,
both during and after the end of the project as far as it is placed in the
open area of the Zenodo repository. Access by third parties will be encouraged
through dissemination initiatives for example by sharing the repository
address and basic access instructions during conference presentations.

###  2.4.3. Data quality assurance process

The DMP manager will periodically assess compliance of the repository entries
to the preset format and content standards. The Plan is a living document
whose content concerning the data management will be updated from its creation
(month 6 of the project) to the end of the project (month 42).

###  2.4.4. Re-usability duration

The length of time for which the data will remain re-usable will not be
enforced by

SUMCASTEC partners after the end of the project (unless it is deemed that
further IPR protection steps need to be taken). However it is foreseeable that
re-usability will depend on the demonstrated technology obsolescence.

#  Section 3: Allocation of resources

The chosen repository (ZENODO) is free of charge for educational and
informational use. While no resources were specifically devoted to making
SUMCASTEC's data FAIR, all partner institutions have budgeted dissemination
costs supporting Open access publication. Therefore they will make sure that
peer-reviewed journal article they publish is openly accessible, free of
charge (article 29.2. Model Grant Agreement).
_http://ec.europa.eu/research/openscience/index.cfm?pg=openaccess_

For some publishers supporting a green route to Open Access of journals,
special issues and conference proceedings a post-print version of the
publication will be made available in the Zenodo repository. This version is
after the peer-review changes have been made, but it does not typically
include the publication-specific formatting. This version may also be referred
to as the author's final draft, accepted author manuscript (AAM) or the
author's final peer-reviewed manuscript.

For example the IEEE supports this green route to Open Access for the IEEE
Transactions on Microwave Theory and Techniques.

#  Section 4: Data security

##  4.1 Data recovery

By relying on the ZENODO repository SUMCASTEC's research output will be stored
safely in the same cloud infrastructure as research data from CERN's Large
Hadron Collider and using CERN's battle-tested repository software INVENIO (a
fully cutomised digital library framework).

All files uploaded to Zenodo are stored in CERN’s EOS service in an 18
petabytes disk cluster. Each file copy has two replicas located on different
disk servers.

##  4.2 Secure storage

Metadata and persistent identifiers in Zenodo are stored in a PostgreSQL
instance operated on CERN’s Database on Demand infrastructure with 12-hourly
backup cycle with one backup sent to tape storage once a week.

##  4.1 Transfer of sensitive data

Transfer of sensitive data will occur uniquely from the University of Limoges
cloud infrastructure (Ucloud) that the consortium has chosen for internal data
storage and transfer.

#  Section 5: Ethical aspects

The ethics aspects have been covered in the proposal and by obtaining (a) any
ethics committee opinion required under national law and (b) any notification
or authorization for activities raising ethical issues required under national
and/ or European law.

The documents submitted upon request by the coordinator to the Agency will be
added to the Zenodo repository.

#  Section 6: Use of the DMP within the project

The plan is used by the SUMCASTEC partners as a reference for data management
(naming, providing metadata, storing and archiving) within the project each
time new project data are produced.

The project partners are introduced to the DMP and its use as part of WP5
activities. Relevant questions from partners will be specifically addressed
within WP5. The workpackage will also provide support to the project partners
on using Zenodo as the data management tool.