#  EXECUTIVE SUMMARY

This deliverable provides a final version of FREME data management plan. The
deliverable outlines how the research data collected or generated has been
handled during the FREME action.

This document follows the template provided by the European Commission in the
Participant Portal.

#  1 FREME DMP

##  1.1 PURPOSE OF THE FREME DATA MANAGEMENT PLAN (DMP)

The FREME DMP describes the types of data that have been generated or gathered
during the project, the standards which have been used, the ways how the data
has been exploited and shared for verification or reuse, and how the data will
be preserved.

FREME is a H2020 project participating in the Open Research Data Pilot a part
of the Open Access to Scientific Publications and Research Data programme in
H2020  1  . The goal of the programme is to foster access to data generated in
H2020 projects. This document has been produced following these guidelines.
This document is a final version of the DMP, delivered in M6 and M13 of the
project. Information about the background of FREME DMP and objectives,
including the metadata schemes used for data management, has been provided in
D7.5 Data Management Plan II  2  .

#  2 DATA DESCRIPTION

##  2.1 FREME DMP: DATA SETS USED AND CONVERTED DURING FREME

FREME uses several datasets which are listed and described below.

###  2.1.1 Datasets integrated and currently used in FREME

This list provides details about the datasets used in the FREME project.
Almost all these datasets are linked to e-­‐Entity service, some of them are
linked also to e-­‐link and e-­‐terminology.

These datasets were already created and open sourced, so FREME has no
responsibility for their creation or curation. For this reason, they are just
listed on this DMP and no further details are provided. To find more
information about them, a link to datahub has been added to the table entries.  
  
<table>  
<tr>  
<th>

**DATA SET NAME**

</th>  
<th>

**DESCRIPTION**

</th>  
<th>

**FREME USED**

</th>  
<th>

**USED IN SERVICE**

</th>  
<th>

**LICENSE**

</th>  
<th>

**LINK TO DATAHUB**

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

**DBPEDIA**

</td>  
<td>

Dbpedia is a crowd-­‐sourced community effort to extract structured
information from wikipedia and make this information available on the web.
Dbpedia allows you to ask sophisticated queries against wikipedia, and to link
the different data sets on the web to wikipedia data. we hope that this work
will make it easier for the huge amount of information in wikipedia to be used
in some new interesting ways. furthermore, it might inspire new mechanism for
navigating, linking and improving the encyclopaedia itself.

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity and also available

in e-­‐Link

</td>  
<td>

CC-­‐BY

</td>  
<td>

https://datahub.io/d ataset/dbpedia

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

**ONLD**

</td>  
<td>

The NCSU Organization Name Linked Data (ONLD) is based on the NCSU
Organization Name Authority, a tool maintained by the Acquisitions & Discovery
department to manage the variant forms of name for journal and e-­‐resource
publishers, providers, and vendors in E-­‐Matrix, our locally-­developed
electronic resource management system (ERMS).

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity

</td>  
<td>

Creative

Commons

CC0

</td>  
<td>

https://datahub.io/da

taset/ncsu-­organization-­‐name-­‐

linked-­‐data

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

**VIAF**

</td>  
<td>

VIAF (Virtual International Authority File) is an OCLC dataset that virtually
combines multiple LAM (Library Archives Museum) name authority files into a
single name authority service. Put simply it is a large database of people and
organizations that occur in library catalogues.

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity

</td>  
<td>

Open Data

Commons

Attribution

</td>  
<td>

https://datahub.io/d

ataset/viaf

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

**GEOPOLITICAL ONTOLOGY**

</td>  
<td>

The FAO geopolitical ontology and related services have been developed to
facilitate data exchange and sharing in a standardized manner among systems
managing

information about countries and/or regions.

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity

</td>  
<td>

tbd

</td>  
<td>

https://datahub.io/d ataset/fao-­‐

geopolitical-­‐ontology

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

**AGROVOC**

</td>  
<td>

AGROVOC is a controlled vocabulary covering all areas of interest of the Food
and Agriculture Organization (FAO) of the United Nations, including food,
nutrition, agriculture, fisheries, forestry, environment etc. It is published
by FAO and edited by a community of experts.

</td>  
<td>

Used

</td>  
<td>

e-­‐terminology

</td>  
<td>

CC4.0 BY-­SA

</td>  
<td>

https://datahub.io/d ataset/agrovoc-­‐skos

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

**EUROPEANA**

</td>  
<td>

Europeana.eu is an internet portal that acts as an interface to millions of
books, paintings, films, museum objects and archival records that have been
digitised throughout Europe.

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity

</td>  
<td>

CC0; but certain subsets depend on

their

provider

</td>  
<td>

http://www.europea

na.eu/portal/en

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

**GWPP**

**GLOSSARY**

</td>  
<td>

A set of scientific terms and their definitions that are used inside the
Global Water Pathogen Project online book. This dataset is crowdsourced by a
large number of researchers and engineers on the fields of water sanitation
and environmental sciences.

</td>  
<td>

Used

</td>  
<td>

e-­‐Entity

</td>  
<td>

CC

Attribution

4.0

Internation

al

</td>  
<td>

http://www.waterpa thogens.org/glossary

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

**Table 1 Datasets currently used in FREME**

###  2.1.2 Datasets converted and used by FREME  2

During the FREME project, several datasets that have been adapted for usage in
FREME. Since these datasets have been created by FREME, below we provide a
detailed description using a combination of the META-­‐SHARE and DATAID
metadata schemes. The first two columns of each table show the fields
according to each scheme. The third column shows the metadata value.

####  1 ORCID  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE**

**FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE**

**NAME**

</td>  
<td>

**DATASET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

ORCID 2014 Dataset

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/orcid/orcid-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

http://datahub.io/dataset/orcid-­‐dataset

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

</th>  
<th>

**MAINTAINER:**

</th>  
<th>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

ORCID (Open Researcher and Contributor ID) is a non-­‐proprietary alphanumeric
code to uniquely identify scientific and other academic authors. This dataset
contains RDF conversion of the ORCID dataset. The current conversion is based
on the 2014 ORCID data dump, which contains around 1.3 million JSON files
amounting to 41GB of data.

The converted RDF version is 13GB large (uncompressed) and it is modelled with
well-­known vocabularies such as Dublin Core, FOAF, schema.org, etc., and it
is interlinked with GeoNames.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

Open Researcher and Contributor ID (ORCID) -­‐ http://orcid.org/

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

ORCID is a useful resource for interlinking general datasets with research and
scientific information. users profiting from ORCID are open data developers,
SMEs and researchers in data science and NLP, especially entities from
research domain.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

the CORDIS dataset.

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

The CORDIS dataset can be integrated into other datasets and re-­‐used for
data enrichment and mashup purposes.

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

N-­‐triples

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE:**

</td>  
<td>

N-­‐triples -­‐ compressed in x-­‐bzip2

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

</td>  
<td>

**METADATA**

**DESCRIPTION:**

</td>  
<td>

Done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES**

**AND**

**ONTOLOGIES:**

</td>  
<td>

Dublin Core, FOAF, schema.org

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

CC0 1.0 Public Domain Dedication

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

http://creativecommons.org/publicdomain/zero/1.0/

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

ORCID is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

ORCID needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/orcid-­‐dataset

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

Preservation of the ORCID is guaranteed by archival of old versions on the
scripts used for its creation and referencing to the source data. also,
preservation is guaranteed by archival of the old ORCID converted versions on
the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of ORCID.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/orcid/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

13GB large

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

####  2 CORDIS FP7  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE**

**FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE**

**NAME**

</td>  
<td>

**DATASET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

Name: CORDIS FP7 Dataset

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/cordis/cordis-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/cordis-­‐corpus

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

CORDIS (Community Research and Development Information Service), is the
European Commission’s core public repository providing dissemination
information for all EU-­funded research projects. This dataset contains RDF of
the CORDIS FP7 dataset which provides descriptions for projects funded by the
European Union under the seventh framework programme for research and
technological development (FP7) from 2007 to 2013. The converted dataset
contains over 1 million of RDF triples with a total size of around 200MB in
the N-­‐Triples RDF serialization format.

The dataset is modelled with well-­‐known vocabularies such as Dublin Core,
FOAF, DBpedia ontology, DOAP, etc., and it is interlinked with DBpedia.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

European Commission

https://open-­‐data.europa.eu/en/data/dataset/cordisfp7projects

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

CORDIS FP7 is a useful resource for interlinking general datasets with
research and scientific information. users profiting from ORCID are open data
developers, SMEs and researchers in data science and NLP, especially entities
from research domain.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

The ORCID dataset.

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

The CORDIS dataset can be integrated with other research datasets and reused
for data enrichment purposes.

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

N-­‐triples

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE:**

</td>  
<td>

N-­‐triples -­‐ compressed in x-­‐bzip2

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

</td>  
<td>

**METADATA DESCRIPTION:**

</td>  
<td>

Done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES**

**AND**

**ONTOLOGIES:**

</td>  
<td>

Dublin Core, FOAF, DBpedia ontology, DOAP

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

http://ec.europa.eu/geninfo/legal_notices_en.htm

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

n/a

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

CORDIS is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

CORDIS needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/cordis-­‐corpus

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

preservation of the CORDIS is guaranteed by archival of old versions on the
scripts used for its creation and referencing to the source data. also,
preservation is guaranteed by archival of the old CORDIS converted versions on
the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of CORDIS.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/cordis/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

over 1 million of RDF triples

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

####  3 DBpedia Abstracts  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE NAME**

</td>  
<td>

**DATA SET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

DBpedia Abstracts Dataset

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/dbpedia-­‐abstracts/dbpedia-­‐abstracts-­dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/dbpedia-­‐abstract-­‐corpus

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

</th>  
<th>

**PUBLISHER:**

</th>  
<th>

AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

This corpus contains a conversion of Wikipedia abstracts in six languages
(dutch, english, french, german, italian and spanish) into the NLP Interchange
Format (NIF). The corpus contains the abstract texts, as well as the position,
surface form and linked article of all links in the text. As such, it contains
entity mentions manually disambiguated to Wikipedia/DBpedia resources by
native speakers, which predestines it for NER training and evaluation.

Furthermore, the abstracts represent a special form of text that lends itself
to be used for more sophisticated tasks, like open relation extraction. Their
encyclopaedic style, following Wikipedia guidelines on opening paragraphs adds
further interesting properties. The first sentence puts the article in broader
context. Most anaphora will refer to the original topic of the text, making
them easier to resolve. Finally, should the same string occur in different
meanings, Wikipedia guidelines suggest that the new meaning should again be
linked for disambiguation. In short: The type of text is highly interesting.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

Wikipedia -­‐ https://www.wikipedia.org/

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

DBpedia Abstracts is a useful multilingual resource for learning various nlp
tasks. E.g. learning named entity recognition models, relation extraction, and
similar.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

The Wikiner dataset

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

The DBpedia abstracts dataset can be integrated with other similar training
corpora and reused for training various NLP tasks.

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT**

</td>  
<td>

Turtle

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE**

</td>  
<td>

Turtle -­‐ compressed in x-­‐gzip

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

</td>  
<td>

**METADATA DESCRIPTION:**

</td>  
<td>

Done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES**

**AND**

**ONTOLOGIES:**

</td>  
<td>

NIF

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

CC-­‐BY

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

http://purl.org/net/rdflicense/cc-­‐by-­‐sa3.0

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

Dbpedia abstracts is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

Dbpedia abstract needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/dbpedia-­‐abstract-­‐corpus

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

preservation of the Dbpedia abstracts is guaranteed by archival of old
versions and referencing to the source data. also, preservation is guaranteed
by archival of the old Dbpedia abstracts converted versions on the archive
server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of dataset
and its extension to other languages.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

http://wiki-­‐link.nlp2rdf.org/abstracts/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

743 million RDF triples

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

####  4 Global airports  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE**

**NAME**

</td>  
<td>

**DATA SET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

Global airports in RDF

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/global-­‐airports/global-­‐airports-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/global-­‐airports-­‐in-­‐rdf

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

DFKI and AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

DFKI and AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION:**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

This corpus contains RDF conversion of Global airports dataset which was
retrieved from openflights.org. The dataset contains information about airport
names, its location, codes, and other related info.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

openflights.org

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

Global airports is a useful resource for interlinking and enrichment of
content which contains information about airports and related.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

DBpedia

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

The Global Airports dataset can be reused for data enrichment purposes and
integrated with other relevant datasets such as DBpedia.

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

Turtle

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE:**

</td>  
<td>

Turtle, text/turtle

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

</td>  
<td>

**METADATA**

**DESCRIPTION:**

</td>  
<td>

done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES**

**AND ONTOLOGIES:**

</td>  
<td>

DBpedia ontology, SKOS, schema.org

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

Open Database License -­‐ for more see:
http://openflights.org/data.html#license

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

http://purl.oclc.org/NET/rdflicense/odbl1.0

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

Global airports is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

Global airports needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/global-­‐airports-­‐in-­‐rdf

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

Preservation of the Global airports is guaranteed by archival of old versions
and referencing to the source data. also, preservation is guaranteed by
archival of the old global airports converted versions on the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of the
dataset.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/global-­‐airports/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

74K RDF triples

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

####  5 GRID  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE**

**NAME**

</td>  
<td>

**DATA SET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

GRID dataset

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

http://api.freme-­‐project.eu/datasets/grid/grid-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/grid_dataset

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

GRID is a free, openly accessible database of research institution identifiers
which enables users to make sense of their data. It does so by minimising the
work required to link datasets together using a unique and persistent
identifier. This is RDF version of the dataset.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

GRID -­‐ https://www.grid.ac/downloads

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

GRID is a useful statistics resource for enrichment of various kind of content
related to research institutions.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

the CORDIS, ORCID, PermID

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

The GRID dataset can be integrated with other relevant datasets and reused for
data enrichment purposes.

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

N-­‐Triples

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE**

</td>  
<td>

N-­‐Triples -­‐ compressed in x-­‐bzip2

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

</td>  
<td>

**METADATA DESCRIPTION:**

</td>  
<td>

Done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES AND ONTOLOGIES:**

</td>  
<td>

Dublin Core, DBpedia Ontology, FOAF, VCARD, SKOS

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

CC BY Creative Commons

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

http://purl.oclc.org/NET/rdflicense/cc-­‐by3.0

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

GRID is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

GRID needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/grid_dataset

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

Preservation of the GRID is guaranteed by archival of old versions on the
scripts used for its creation and referencing to the source data. also,
preservation is guaranteed by archival of the old GRID converted versions on
the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of the
datasets and converting additional.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/grid/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

581K RDF triples

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

####  6 GWPP  
  
<table>  
<tr>  
<th>

**META-­‐**

**SHARE FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE NAME**

</td>  
<td>

**DATA SET**

**REFERENCE AND**

**NAME:**

</td>  
<td>

GWPP dataset

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/gwpp/gwpp-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/gwpp-­‐glossary

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

The GWPP glossary is a set of scientific terms and their definitions that are
used inside the Global Water Pathogen Project online book. This dataset is
crowdsourced by a large number of researchers and engineers on the fields of
water sanitation and environmental sciences.

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

GWPP -­‐ http://www.waterpathogens.org/glossary

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

GWPP is a useful terminology resource for enrichment of various kind of
content related to water sanitation and environmental sciences.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

AGRIS, AGROVOC

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

</td>  
<td>

**RE-­‐USE AND**

**INTEGRATION:**

</td>  
<td>

The GWPP dataset can be integrated with other relevant datasets and reused for
data enrichment/annotation purposes.

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

**RESOURCE**

**TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

N-­‐Triples

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE**

</td>  
<td>

N-­‐Triples -­‐ compressed in x-­‐bzip2

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

</td>  
<td>

**METADATA DESCRIPTION:**

</td>  
<td>

done in linked data using Dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata.

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

</td>  
<td>

**VOCABULARIES AND ONTOLOGIES:**

</td>  
<td>

RDFS

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

CC Attribution 4.0 International

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

http://purl.oclc.org/NET/rdflicense/cc-­‐by4.0

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

GWPP is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

GWPP needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/gwpp-­‐glossary

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

Preservation of the GWPP is guaranteed by archival of old versions on the
scripts used for its creation and referencing to the source data. also,
preservation is guaranteed by archival of the old GWPP converted versions on
the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of the
datasets and converting additional.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/gwpp/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

346 terms

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

###  2.1.3 Datasets converted but not being used by FREME.

During the FREME project the Statbel dataset has been created but not used by
the project.

####  Statbel corpus  
  
<table>  
<tr>  
<th>

**META-­‐SHARE**

**FIELD**

</th>  
<th>

**DATAID FIELD**

</th>  
<th>

**VALUE**

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

**RESOURCE NAME**

</td>  
<td>

**DATA SET REFERENCE AND NAME:**

</td>  
<td>

Statbel corpus

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

</td>  
<td>

**METADATA URI:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/statbel/statbel-­‐dataid.ttl

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

</td>  
<td>

**HOMEPAGE:**

</td>  
<td>

https://datahub.io/dataset/statbel-­‐corpus

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

</td>  
<td>

**PUBLISHER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

</td>  
<td>

**MAINTAINER:**

</td>  
<td>

AKSW/KILT, INFAI, Leipzig University

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

**DESCRIPTION**

</td>  
<td>

**DESCRIPTION:**

</td>  
<td>

This corpus contains RDF conversion of datasets from the "Statistics Belgium"
(also known as Statbel) which aims at collecting, processing and disseminating
relevant, reliable and commented data on Belgian society.
http://statbel.fgov.be/en/statistics/figures/

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

</th>  
<th>

</th>  
<th>

Currently, the corpus contains three datasets:

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

</td>  
<td>

•

</td>  
<td>

Belgian house price index dataset: measures the inflation on residential
property market in Belgium. The data for conversion was obtained from

http://statbel.fgov.be/en/statistics/figures/economy/constructio
n_industry/house_price_index/

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

</td>  
<td>

•

</td>  
<td>

Employment, unemployment, labour market structure dataset: data on employment,
unemployment and the labour market from the labour force survey conducted
among Belgian

households. The data for conversion was obtained from

http://statbel.fgov.be/en/statistics/figures/labour_market_living
_conditions/employment/

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

</td>  
<td>

•

</td>  
<td>

Unemployment and additional indicators dataset: contains unemployment related
statistics about Belgium and its regions. The data for conversion was obtained
from

http://statbel.fgov.be/en/modules/publications/statistics/march
e_du_travail_et_conditions_de_vie/unemployment_and_additio
nal_indicators_2005-­‐2010.jsp

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

</td>  
<td>

**PROVENANCE:**

</td>  
<td>

Statbel -­‐ http://statbel.fgov.be/en/statistics/figures/

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

</td>  
<td>

**USEFULNESS:**

</td>  
<td>

Statbel is a useful statistics resource for enrichment of various kind of
content related to belgium and the belgian society.

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

</td>  
<td>

**SIMILAR DATA:**

</td>  
<td>

The UNdata

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

</td>  
<td>

**RE-­‐USE AND INTEGRATION:**

</td>  
<td>

tbd

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

**RESOURCE TYPE**

</td>  
<td>

**FORMAT:**

</td>  
<td>

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

**MEDIA TYPE**

</td>  
<td>

**MEDIA TYPE:**

</td>  
<td>

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

</td>  
<td>

**METADATA DESCRIPTION:**

</td>  
<td>

Done in linked data using dataid, a metadata description vocabulary based on
dcat. DMP reports are automatically generated and maintained up to date using
this metadata. vocabularies and ontologies: Data cube

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

**LICENSE**

</td>  
<td>

**LICENSE:**

</td>  
<td>

tba n/a

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

</td>  
<td>

**ODRL LICENSE DESCRIPTION:**

</td>  
<td>

n/a

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

**USAGE**

</td>  
<td>

**OPENNESS:**

</td>  
<td>

Statbel is an open dataset

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

</td>  
<td>

**SOFTWARE NECESSARY:**

</td>  
<td>

Statbel needs no additional software to be used.

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

</td>  
<td>

**REPOSITORY:**

</td>  
<td>

https://datahub.io/dataset/statbel-­‐corpus

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

</td>  
<td>

**PRESERVATION:**

</td>  
<td>

Preservation of the Statbel is guaranteed by archival of old versions on the
scripts used for its creation and referencing to the

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

</td>  
<td>

</td>  
<td>

source data. also, preservation is guaranteed by archival of the old Statbel
converted versions on the archive server.

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

</td>  
<td>

**GROWTH:**

</td>  
<td>

FREME aims at providing conversion of the newer, richer versions of the
datasets and converting additional.

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

</td>  
<td>

**ARCHIVE:**

</td>  
<td>

https://api.freme-­‐project.eu/datasets/statbel/

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

**SIZE**

</td>  
<td>

**SIZE:**

</td>  
<td>

Few thousands of triples

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

###  2.1.4 Other datasets used in FREME

The following list includes the datasets that have been used by some partners
in the context of FREME, but the dataset itself is not being used as part of
the general FREME framework.  
  
<table>  
<tr>  
<th>

**DATA SET NAME**

</th>  
<th>

**DESCRIPTION**

</th>  
<th>

**FREME USE?**

</th>  
<th>

**USED IN**

**SERVICE**

</th>  
<th>

**LICENSE**

</th>  
<th>

**LINK**

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

**WAND FINANCE**

**AND INVESTMENT**

**TAXONOMY**

**WAND INC**

</td>  
<td>

**-­‐**

</td>  
<td>

A taxonomy with specific Topics and

entities related to

Finance and Investment

</td>  
<td>

Upload

for

testing

</td>  
<td>

No

</td>  
<td>

Evaluation License

</td>  
<td>

www.wandinc.com/wa

nd-­‐finance-­‐and-­investment-­taxonomy.aspx

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

**CIARD RING**

</td>  
<td>

</td>  
<td>

The CIARD RING is a global directory of web-­based information services and
datasets for agricultural research for development. It is the principal tool
created through the CIARD initiative

(http://www.ciard.net)

to allow information providers to register their services and datasets in
various categories and so facilitate the discovery

of sources of

agriculture-­‐related information across the world.

</td>  
<td>

not part

of

Framew

ork yet

</td>  
<td>

No

</td>  
<td>

CC Attribution

</td>  
<td>

https://datahub.io/data

set/the-­‐ciard-­‐ring,

http://ring.ciard.info/rd f-­‐store

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

**AGRIS**

</td>  
<td>

International

Information System for the Agricultural Science and Technology

</td>  
<td>

validate freme service

</td>  
<td>

e-­‐

Termin ology

</td>  
<td>

no clear license available yet.

It will be soon

</td>  
<td>

https://datahub.io/data

set/agris

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

**LIBRARY OF**

**CONGRESS**

</td>  
<td>

The dataset provides

access to authority data at the Library of

Congress.

</td>  
<td>

Uploade

d for

testing purposes

</td>  
<td>

e-­‐Entity

</td>  
<td>

See terms of

service

(http://id.lo

c.gov/about

/)

</td>  
<td>

http://id.loc.gov/descri

ptions/

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

**GETTY**

</td>  
<td>

Provides structured terminology for art and other material culture, archival
materials, visual surrogates, and bibliographic materials.

</td>  
<td>

Uploade

d for

testing purposes

</td>  
<td>

e-­‐Entity

</td>  
<td>

Open Data

Commons

Attribution

</td>  
<td>

http://vocab.getty.edu/

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

**LINKEDGEODATA**

</td>  
<td>

LinkedGeoData uses the information collected by the OpenStreetMap

project and makes it

available as an RDF knowledge base

according to the Linked

Data principles.

</td>  
<td>

Used via e-­‐Link

</td>  
<td>

e-­‐Link

</td>  
<td>

Open

Database

License

</td>  
<td>

http://linkedgeodata.or

g/About

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

**GEONAMES**

</td>  
<td>

The GeoNames geographical database

covers all countries and contains over eleven

million placenames that

are available for download free of charge.

</td>  
<td>

Used via e-­‐Link

</td>  
<td>

e-­‐Link

</td>  
<td>

Creative Commons

attribution

</td>  
<td>

http://www.geonames. org/

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