#  1\. Data Summary

What is the purpose of the data collection/generation and its relation to the
objectives of the project?

_The regions participating to SCREEN sent data on their smart specialization
strategies with specific focus on the areas and sectors to be prioritized for
the diffusion of circular economy focus sectors, R &D capabilities, education
capabilities, and emerging ideas. _

What types and formats of data will the project generate/collect?

_Excel files only, like the one shown in the following figure._

Will you re-use any existing data and how?

_Due to the scope of the Action, that is a Coordination Action, only existing
data provided by the participating regions will be collected and analysed. The
main scope is to collect data in a way that can be used for the project
purposes, basically matchmaking between different regional initiatives and
possible synergies._

What is the origin of the data?

_Regional data base of other regional sources, only from the participating
regions_

What is the expected size of the data?

##  Extremely variable, depending on their availability in each region;
however, for the project purposes, they are contained in small excel files
like the following one

To whom might it be useful ('data utility')?

_To other regions willing to use the tools developed by the project for the
analysis of potential cross-regional value chains. Also to relevant public and
private stakeholders interested to be part of a circular economy value chain._

#  2\. FAIR data

##  **2.1 Making data findable, including provisions for metadata**

Are the data produced and/or used in the project discoverable with metadata,
identifiable and locatable by means of a standard identification mechanism
(e.g. persistent and unique identifiers such as Digital Object Identifiers)?

##  Not applicable: only Excel files

What naming conventions do you follow?

_Name of the deliverable, according to the list in the Grant Agreement, with
extension xls or xlsx._

Will search keywords be provided that optimize possibilities for re-use?

_No_

Do you provide clear version numbers?

##  Yes, complying with the version of the deliverable or internal report

What metadata will be created? In case metadata standards do not exist in your
discipline, please outline what type of metadata will be created and how.

##  No metadata will be created

_**2.2 Making data openly accessible** _

Which data produced and/or used in the project will be made openly available
as the default?

##  Data on the smart specialization of the participating regions, related to
the circular economy. Data on the mapping made by each region about potential
circular economy value chains

How will the data be made accessible (e.g. by deposition in a repository)?

_All the technical reports are public and available on the project website
_http://www.screenlab.eu/Deliverables.html_ .  These reports also contain the
above mentioned excel files. _

What methods or software tools are needed to access the data?

_Any tool able to read Excel files_

Is documentation about the software needed to access the data included?

_No need of any documentation_

Is it possible to include the relevant software (e.g. in open source code)?

##  Free software available on the Internet (such as Open Office and similar)

Where will the data and associated metadata, documentation and code be
deposited? _Not applicable_

Have you explored appropriate arrangements with the identified repository? Not
applicable

If there are restrictions on use, how will access be provided?

_No restrictions_

Is there a need for a data access committee?

##  No

Are there well described conditions for access (i.e. a machine readable
license)?

How will the identity of the person accessing the data be ascertained? _Not
applicable_

###  2.3. Making data interoperable

Are the data produced in the project interoperable, that is allowing data
exchange and re-use between researchers, institutions, organisations,
countries, etc. (i.e. adhering to standards for formats, as much as possible
compliant with available (open) software applications, and in particular
facilitating re-combinations with different datasets from different origins)?

##  Yes, Excel file format (xls od xlsx) compliant with open software
applications

What data and metadata vocabularies, standards or methodologies will you
follow to make your data interoperable?

##  No metadata, the standard adopted is the excel file one

Will you be using standard vocabularies for all data types present in your
data set, to allow inter-disciplinary interoperability? In case it is
unavoidable that you use uncommon or generate project specific ontologies or
vocabularies, will you provide mappings to more commonly used ontologies?

##  Not applicable

_**2.4. Increase data re-use (through clarifying licences)** _

How will the data be licensed to permit the widest re-use possible?

_Not applicable_

When will the data be made available for re-use?

##  Immediately after the publication of the related SCREEN deliverable

Are the data produced and/or used in the project useable by third parties, in
particular after the end of the project? If the re-use of some data is
restricted, explain why. _Yes, without any restriction_

How long is it intended that the data remains re-usable?

_3 years or more_

Are data quality assurance processes described?

_No_

#  3\. Allocation of resources

What are the costs for making data FAIR in your project?

##  No specific cost, being public deliverable containing excel files

How will these be covered? Note that costs related to open access to research
data are eligible as part of the Horizon 2020 grant (if compliant with the
Grant Agreement conditions). _Not applicable, covered by the project_

Who will be responsible for data management in your project?

##  Project Coordinator

Are the resources for long term preservation discussed (costs and potential
value, who decides and how what data will be kept and for how long)?

_No_

#  4\. Data security

What provisions are in place for data security (including data recovery as
well as secure storage and transfer of sensitive data)?

##  Back up assured by the service provider hosting the SCREEN web site, plus
the deliverable repository managed by the European Commission

Is the data safely stored in certified repositories for long term preservation
and curation?

_Not applicable, see the previous answer._

#  5\. Ethical aspects

Are there any ethical or legal issues that can have an impact on data sharing?
These can also be discussed in the context of the ethics review. If relevant,
include references to ethics deliverables and ethics chapter in the
Description of the Action (DoA).

##  No

Is informed consent for data sharing and long term preservation included in
questionnaires dealing with personal data?

##  Yes

**6\. Other issues**

Do you make use of other national/funder/sectorial/departmental procedures for
data management? If yes, which ones?

##  No