Soil Research Data Policies, Data availability and Access, and the Interoperability challenge for CREA Soil Open Data, Italy

RDA Firenze Italy 14-15 November 2016

Research Data Alliance. FAIR data management: best practices and open issuesG. L’Abate

Giovanni L’Abate

Soil Research Data Policies, Data availability and Access,

and the Interoperability challenge for CREA

Soil Open Data



In this talk

1. CREA Soil Research Data 1. Data Type & Formats2. Standards 3. Capture Methods4. Privacy Statement5. Ethics and Intellectual Property6. Access7. Data Sharing and Reuse8. The SISI webGIS application9. Short-Term Storage and Data Management 10. Deposit and Long-Term Preservation 11. Resourcing

2. The Interoperability challenge1. OGC - Soil Interoperability Experiment2. Catalogue services to search for data3. Vocabularies used in those catalogue services

http://dmponline.dcc.ac.uk/



Soil Data Type & Formats

Soil Observations (Observations & Measurements) Spatial Feature (GIS point data). E.g. Soil Profiles, Soil Samples, Soil Samples derivatives

Soil MapsSpatial Feature (GIS polygonal data/Gridded). E.g. Soil Body, Soil Parameter Printed Maps (PDF,JPG,GIF,TIF, PNG); WebGIS tools (WMS, WFS, WCS)

Formats of Spatial Feature (Download at http://soilmaps.entecra.it)

SHP, KML, MDBWeb Feature Service (WFS)

CSV, SHP, GML, GJSONWeb Map Service (WMS)

AtomPub, GIF, GeoRSS, JPEG, KML, OpenLayers, PNG, SVG, TIFF



Standards

ISO SoilML, WFS, WMS, and WCS. Observations and Measurements - XML

ImplementationImplementation Standard for Geographic

information - Simple feature accessWorld Reference Base, 2th edition (2006).

ftp://ftp.fao.org/agl/agll/docs/wsrr103e.pdfUSDA soil Taxonomy, 10th edition (2006).

www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_052172.pdfThe European directive on “Infrastructure for

Spatial Information in the European Community (INSPIRE)” has brought together most of the existing national european standards and ISO into a well defined model.

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Capture Methods



Privacy Statement

The Data Protection Directive (Directive 95/46/EC on the protection of individuals with regard to the processing of personal data and on the free movement of such data) is a European Union directive adopted in 1995 which regulates the processing of personal data within the European Union. It is an important component of EU privacy and human rights law.

Privacy is defined as “any personal data information concerning a natural person, legal person, entity or association, identified or identifiable even indirectly, including a personal identification number”.

EU Directive on the freedom of access to information on the environment (90/313/EEC), because of the public interest for the entire community, environmental data are subjected to a special legal regime (guarantees of access and dissemination) distinct from that of privacy.

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7RDA Firenze Italy 14-15 November 2016


Ethics and Intellectual Property

An European specific database right law, the Database Directive (96/9/EC), protects the producer of a database, who has invested the necessary effort to constitute the database. That means that Database rights under the EU are created automatically, vested in the employers of creators and do not have to be registered to have effect.

How to cite data sources: Creator (PublicationYear): Title. Version. Publisher. ResourceType.

Approver (Year). Identifier1: Edoardo A.C. Costantini, Giovanni L'Abate, Giovanni Allegri (2012): Soil Information System of Italy (SISI). Version 1.0. Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA). WebGIS. 2015. http://aginfra-sg.ct.infn.it/sisi

1 https://www.popdata.bc.ca/publishing_research_materials/citingsources

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Data Access

SoilSamples SoilProfiles SoilMaps

http://www.soilmaps.it/ita/cartadeisuoli3.htmlhttp://soilmaps.entecra.it/webgis/sisi/map.htmlhttp://soilmaps.entecra.it/webgis/geosample/map.html

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Data Sharing and Reuse

According to CREA "Strategia per la valorizzazione del patrimonio informativo del CRA” (2013).

Italian Open Data License (IODL v2.0) and the principle of Open Data: freely available to all, free of copyright, except for the obligation to cite the source.

CompliancyOpen Data Commons - Open Database License (ODbL)Creative Commons License version 3.0 (CC-BY) How to cite data license:This {DATABASE-NAME} is made available under the

[LicenseName] [LicenseLogo] [LicenseURL]2: The SISI WebGIS (2015) is made available under the Italian Open Data License (IODL v2.0) [LicenseLogo] http://www.dati.gov.it/iodl/2.0/

2 http://www.dati.gov.it/content/italian-open-data-license-domande-e-risposte

http://www.dati.gov.it/iodl/2.0/



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The SISI webGIS application

Soil Bodies1) Soil region (1:5,000,000): 34 regions

described by 20 attributes2) Soil systems (1:500,000): 3,358 polygons

described by 40 attributes and related to Derived soil profile by 9,727 relations

Soil Profiles3) Derived soil profile (1,412) composed by

4,263 Derived Profile Element described by 16 Soil parameters statistic (mean value, standard deviation, frequency) for 82,791 measured or modeled data;

4) Observed Soil profiles (1,412) composed by 4,284 analyzed Soil Profile Elements described by 46 soil parameters for 81,366 measured or modeled data; 1747 photos about 834 Observed soil profile

https://aginfra-sg.ct.infn.it/sisi



Short-Term Storage and Data Management

On local server: ISIS1.4.mdb (MS Access) database

Online database: PostgreSQL 8.2

Web server: Geoserver 2.1-beta3



Deposit and Long-Term Preservation

Select data of long-term value: Data sharing and preservation may not be applicable in every case. The SISI webgis contains selected maps and observations out of the ISIS 1.4 national database (55,000 observations). The selection is based on representativenes at national scale.

Safeguard the data behind the graph: the data which underpin publications should be extracted, captured in machine-readable form and deposited somewhere so they remain accessible.

Assure that your data will remain accessible: focus on making a convincing case that your data will remain accessible.



Resourcing

Outline and justify costs: If you need to purchase storage, outsource services such as back-up and preservation, or plan to pay for data management support, these costs should be outlined and justified in your proposal.

Don’t underestimate the human effort required: Creating documentation and making your data understandable to others is very time consuming, so be realistic about how much effort is needed to prepare your data for sharing and preservation.

Show efficient use of public funds: it is appropriate to use public funds to support the management and sharing of publicly-funded research data, but this is expected to be efficient and cost-effective.



The Interoperability challenge

Semantic interoperability facilitates building of data services that reuse and combine data from different sources.

GIS Servers commonly use the same protocols (WMS,WFS,WCS) but Databases are still highly customized.



OGC - Soil Interoperability Experiment

Big or small, data need to be explicitly defined for others to reuse it, and linked to other pieces of data to be placed in a data ecosystem

Standard vocabularies boost soil data interoperability & sharing

Local data managers would get references to describe, publish and share their data



Catalogue services to search for data

INSPIRE geoportalhttp://inspire-geoportal.ec.europa.eu/

CIARD RING directoryhttp://ring.ciard.info/

CSIRO Data Access Portalhttps://data.csiro.au/dap

FAO AGRISagris.fao.org



Vocabularies used in those catalogue services

INSPIRE geoportalhttp://inspire-geoportal.ec.europa.eu/

CIARD RING directoryhttp://ring.ciard.info/

CSIRO Data Access Portalhttps://data.csiro.au/dap

FAO AGRISagris.fao.org

INSPIRE registryhttp://inspire.ec.europa.eu/registry

agINFRA vocabularieshttp://vocabularies.aginfra.eu

SISS Vochttp://www.sissvoc.info/

Agrovochttp://aims.fao.org/vest-registry/vocabularies/agrovoc-

multilingual-agricultural-thesaurus



The agINFRA soil vocabulary

http://vocabularies.aginfra.eu/soil.html

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Our Vision

Applications using CREA Open Data? Giving on-time responses to users using data produced in CREA is actually just a dream…

On the other end, some works has been done toward Soil Data Interoperability. Standards are there, web services too, many worldwide initiatives: Global Soil Partnership, Global soil map of the world, Soil Interoperability experiment (Soil IE)…

Let’s work together finding out how to share our data!



Thanks for your attention!

http://abp.entecra.it/http://soilmaps.entecra.it/

Acknowledgments to EU 7FP agINFRA project

Data & Analytics

Soil Research Data Policies, Data availability and Access, and the Interoperability challenge for CREA Soil Open Data, Italy