Metadata Management for Spatial Data Infrastructures

•

1 like•698 views

This document discusses metadata management for spatial data infrastructures. It describes workflows for creating and updating metadata at both the collection and layer levels using templates. Metadata is generated and registered in a digital repository with unique identifiers. Standards like ISO 19139 and MODS are used to encode the metadata which is then assembled and made available through discovery workflows.

Technology

Metadata Management
for Spatial Data
Infrastructures
Kim
Durante

Metadata
Librarian,
Geospatial
and
Scienti8ic
Data

Stanford
Libraries

Persistent
URL
(PURL)

http://purl.stanford.edu/vx760hv6666

GeoBlacklight
&
EarthWorks

earthworks.stanford.edu

Collection-‐level
Metadata
WorkOlow

register
Repository
Identify collection of one
or more layers
Create collection level-record
Register item with rights policy
Create
metadata
Layers

ISO
Layer-‐level
Metadata
WorkOlow

register
layer
Template XSLTFor
items
with
no
existing

metadata

For
items
with
existing

metadata

Assign
collection
and
rights
policy

deposit
auto-generate
localized
Check
data
properties

Digital
Repository
Unique
IdentiOier
(DRUID)

Layer

DRUID
ns588nd3145

URL
http://purl.stanford.edu/ns588nd3145

Metadata
File
Identi8ier
edu.stanford.purl:ns588nd3145

Collection

DRUID
vq006xg0504

Aggregate
Dataset
Identi8ier
http://purl.stanford.edu/vq006xg0504

Parent
Metadata
Identi8ier
http://purl.stanford.edu/vq006xg0504.mods

Collection-‐level
Template
Elements

Aggregate
dataset
title

Renewable
energy
GIS
data
(United
States)

Originator/Publisher
Hart
Energy
Publishing

Place
keyword
United
States

ISO
topic
category
utilitiesCommunication

Access/Use
constraints
restricted

Publication
date
01/01/2015

Edition
1018
Update

Aggregate
dataset
identi8ier
http://purl.stanford.edu/vq006xg0504

Parent
metadata
identi8ier
http://purl.stanford.edu/vq006xg0504.mods

Localized editing
Title
Geothermal
Power
Plants
in
the
United
States,
2015

Abstract
This
point
shape8ile
represents
geothermal
power

plants
in
the
United
States.
Plant
names
and

operators,
as
well
as
types
of
plant
are
speci8ied
for

each
point.
This
layer
is
part
of
the
Renewable

Energy
GIS
data
collection.

Theme
keyword
Geothermal
power
plants

Temporal
extent
2015-‐01-‐01
(publication
date)

Updating
Existing
Metadata

•  Varies
signi8icantly
by
collection

•  Requires
survey
of
all
existing
records

•  Collection-‐level
elements
applied
using
XSLT

•  Edit
layer-‐speci8ic
metadata

Auto-‐generating
Metadata

Add
identi8iers:

•  Metadata
8ile
identi8ier

•  Citation
linkage

•  Distribution
URL

•  UUIDs
(for
feature
catalogs
)

Add
credit
statement,
8ilenames,
etc.

Feature
Catalog
Metadata

LABEL DEFINITION
COUNTRY
Country
name

CITY
City
name

Z1
???

Z14
???

Z29
???

Z53
???

Z139
???

Feature
Catalog
Metadata

LABEL DEFINITION
COUNTRY
Country
name

CITY
City
name

Z1
Total
population

Z14
6
or
more
years
old,
male
population

Z29
15-‐19
years
old
population

Z53
Population
with
disability

Z139
Private
homes
without
electricity

AssemblyWorkOlow

assembly

wrangle

ISO
19139

MODS

package

place
names-‐

URIs

extract

bounding
box

data
metadata

ﬁnish

Discovery
and
delivery

work8lows
are
initiated

Thanks!

More
information:

Hydra
-‐
projecthydra.org

GeoBlacklight
-‐
geoblacklight.org

OpenGeoMetadata
-‐
opengeometadta.github.com

XSLT,
Python,
XML
templates
–
github.com/kimdurante/geoMetadata

Contact:

Email:
kimberlydurante@gmail.com

Twitter:
@kimtruck

Contributors:
Darren
Hardy,
Jack
Reed,
Julie
Sweetkind-‐Singer,
Kate
Dillon,

Stace
Maples,
David
Mederios,
G.
Salim
Mohammed,
Bess
Sadler,
Eliot
Jordan,
Mike

Graves.

This document provides a summary of a framework for managing vocabularies as presented at the TDWG Vocabulary Management Task Group meeting. It discusses the status of TDWG ontologies, requirements for a vocabulary management framework, and Semantic MediaWiki as a potential platform for collaborative vocabulary development. Key points include: - Vocabularies are a core component of the TDWG technical architecture and provide shared understanding of terms, but development and governance has been challenging. - A framework is needed to standardize the process for minting terms, releasing finalized concept vocabularies, and reusing terms in other schemas and ontologies to promote interoperability. - Semantic MediaWiki is proposed as a platform for collaborative

IASSIST identifiers By Joan Starr

Carly Strasser

This document discusses dataset citation and identifiers. It begins with an introduction to data citation and the benefits it provides. It then covers identifiers in more detail, explaining what they are, how they work, and examples. The document also discusses the EZID service for assigning persistent identifiers to datasets and metadata. It provides information on Digital Object Identifiers (DOIs) and Archival Resource Keys (ARKs), comparing the two. Finally, it encourages the use of identifiers and data citation and provides contacts for more information.

TDWG and GBIF, at European genbank network meeting (Bonn, April 2004)

Dag Endresen

Triplificating and linking XBRL financial data

Roberto García

The document discusses EURISCO, a central inventory of plant genetic resources in Europe, and opportunities for increased interoperability with related databases and networks. It describes EURISCO's role in sharing accession data from European gene banks and connections to other networks like GBIF. The document considers adopting standards and software from GBIF to develop EURISCO as a network of web services. This would allow European gene banks to join GBIF through EURISCO and improve data sharing globally.

RDF data model

Jose Emilio Labra Gayo

This document provides an overview of the RDF data model. It discusses the history and development of RDF standards from 1997 to 2014. It explains that an RDF graph is made up of triples consisting of a subject, predicate, and object. It provides examples of RDF triples and their N-triples representation. It also describes RDF syntaxes like Turtle and features of RDF like literals, blank nodes, and language-tagged strings.

#HepaticaWeek April 2016, GBIF data publishing

Dag Endresen

European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...

Dag Endresen

Presentation on the Darwin Core standard for data exchange and the germplasm extension for genebanks during the 2014 workshop of the ECPGR Documentation and Information Working Group "Tailoring the Documentation of Plant Genetic Resources in Europe to the Needs of the User" (http://www.ecpgr.cgiar.org/working_groups/documentation_information/docinfo2014.html) in Prague-Ruzyně, Czech Republic, 20th May 2014. Short URL: https://goo.gl/C5UEnU DOI: http://doi.org/10.13140/RG.2.2.10865.28006

GBIF-Norway status for the 6th European GBIF nodes meeting April 2014

Dag Endresen

GBIF-Norway at NMBU, January 2015

Dag Endresen

Publishing XBRL as Linked Open Data

Roberto García

This document discusses mapping financial data from XBRL filings to Linked Open Data. It describes using ReDeFer to convert XBRL XML instances and schemas to RDF, generating over 1.3 million triples. A prototype demonstrates publishing and querying the semantic XBRL dataset using the Rhizomer tool. While the initial mapping is straightforward, the author notes the resulting RDF could be tailored further and semantic mappings could facilitate cross-querying financial data across filings, companies and accounting principles.

Darwin Core extension for germplasm (11th December 2013)

Dag Endresen

Germplasm data exchange, CGIAR SINGER (2009)

Dag Endresen

First they have to find it: Getting Open Government Data Discovered and Used

Rensselaer Polytechnic Institute

This document discusses challenges and opportunities around discovering and using open government data. It notes that simply publishing data as linked data is not enough, and that metadata standards and presentation methods are needed to aid discovery and use. It highlights work done by Tetherless World Constellation to apply metadata standards to describe government datasets and create an aggregated catalog of over 1 million datasets. The use of schema.org and other semantic markup is discussed to enable search engines to more easily parse and index government data catalogs. Federation of catalogs using APIs and standards like DCAT and CKAN is also covered. The document emphasizes that exposing metadata is key to getting government data discovered.

An open science introduction. Olinfer 18, La havana, Cuba 12-14 nov 2018

pascal aventurier

Open Science is the practice of conducting science openly, where research data, lab notes and processes are freely available under terms of reuse. It promotes collaboration and contributions from others. The document discusses benefits like increased verification, reduced duplication and innovation. It also covers topics like open access, research data management, data repositories, and the FAIR principles. The goal of Open Science is greater efficiency, transparency and interdisciplinary work.

Web Data Management with RDF

M. Tamer Özsu

Persistent identifiers for digitized specimens (2013)

Dag Endresen

Making Data FAIR on WikiData - Andra Waagmeester

OpenAIRE

Data Exchange Model Of EPGRIS, seminar at the Vavilov Institute in St Petersb...

Dag Endresen

The EPGRIS project aims to create a European plant genetic resources search catalog called EURISCO by collecting passport data from ex situ collections across Europe. It will simplify data flow by having national inventories directly upload standardized data to EURISCO rather than multiple crop databases. The Nordic Gene Bank is coordinating efforts in Region 1, which includes Nordic and Baltic countries. EPGRIS will address character set issues to properly represent data in different languages and evaluate using XML format for improved data exchange.

Efficient source selection for sparql endpoint federation

Muhammad Saleem

Muhammad Saleem defended his PhD thesis on efficient source selection for SPARQL endpoint query federation. The thesis addressed five main research questions: (1) how to perform join-aware source selection while ensuring complete result sets, (2) how to perform duplicate-aware source selection, (3) how to perform policy-aware source selection, (4) how to perform data distribution-aware source selection, and (5) how to design comprehensive benchmarks for federated SPARQL queries and triple stores. The thesis proposed four source selection algorithms (HIBISCUS, DAW, SAFE, TopFed) and two benchmarking systems (LargeRDFBench, FEASIBLE) to address the identified

Knowledge Organization System (KOS) for biodiversity information resources, G...

Dag Endresen

Slides from a presentation on the Knowledge Organization System (KOS) work program for GBIF. KOS developments for biodiversity information resources and input to the emerging Vocabulary Management Task Group (VoMaG). Links GBIF KOS prototype tools, http://kos.gbif.org/ Tool: Semantic Wiki prototype, http://terms.gbif.org/wiki/ Tool: ISOcat prototype demo, http://kos.gbif.org/isocat/ GBIF concept vocabulary term browser, http://kos.gbif.org/termbrowser/ GBIF Resources Repository, http://rs.gbif.org/terms/ GBIF Vocabulary Server, http://vocabularies.gbif.org/ GBIF Resources Browser, http://tools.gbif.org/resource-browser/

reflective-star

Mette Sauerberg

This 3 sentence summary provides the high level information from the document: The Reflective Star pendant lamp is the result of a master's thesis project focusing on wood as a material. It is an easy to assemble pendant lamp made of sustainable materials like birch plywood and opal PC plates that slide together to form a half globe. The project was a collaboration with a wood turning company to produce the lamp.

pouaimes-pouhaines-couverture-librinovaJean-François "JFMA" Moreau

What's hot

EURISCO and GBIF IPT, at the Vavilov Institute in St Petersburg (27 April 2010)

Dag Endresen

Web services for sharing germplasm data sets, at FAO in Rome (2006)

Dag Endresen

NGB Documenation System SESTO (4 February 2004)

Dag Endresen

EURISCO needs and priorities, at CGIAR ICT-KM Workshop, IPGRI, Rome (2005)

Dag Endresen

RDF data model

Jose Emilio Labra Gayo

#HepaticaWeek April 2016, GBIF data publishing

Dag Endresen

European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...

Dag Endresen

GBIF-Norway status for the 6th European GBIF nodes meeting April 2014

Dag Endresen

GBIF-Norway at NMBU, January 2015

Dag Endresen

Publishing XBRL as Linked Open Data

Roberto García

Darwin Core extension for germplasm (11th December 2013)

Dag Endresen

Germplasm data exchange, CGIAR SINGER (2009)

Dag Endresen

First they have to find it: Getting Open Government Data Discovered and Used

Rensselaer Polytechnic Institute

An open science introduction. Olinfer 18, La havana, Cuba 12-14 nov 2018

pascal aventurier

Web Data Management with RDF

M. Tamer Özsu

Persistent identifiers for digitized specimens (2013)

Dag Endresen

Making Data FAIR on WikiData - Andra Waagmeester

OpenAIRE

Data Exchange Model Of EPGRIS, seminar at the Vavilov Institute in St Petersb...

Dag Endresen

Efficient source selection for sparql endpoint federation

Muhammad Saleem

Knowledge Organization System (KOS) for biodiversity information resources, G...

Dag Endresen

What's hot (20)

EURISCO and GBIF IPT, at the Vavilov Institute in St Petersburg (27 April 2010)

Web services for sharing germplasm data sets, at FAO in Rome (2006)

NGB Documenation System SESTO (4 February 2004)

EURISCO needs and priorities, at CGIAR ICT-KM Workshop, IPGRI, Rome (2005)

RDF data model

#HepaticaWeek April 2016, GBIF data publishing

European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...

GBIF-Norway status for the 6th European GBIF nodes meeting April 2014

GBIF-Norway at NMBU, January 2015

Publishing XBRL as Linked Open Data

Darwin Core extension for germplasm (11th December 2013)

Germplasm data exchange, CGIAR SINGER (2009)

First they have to find it: Getting Open Government Data Discovered and Used

An open science introduction. Olinfer 18, La havana, Cuba 12-14 nov 2018

Web Data Management with RDF

Persistent identifiers for digitized specimens (2013)

Making Data FAIR on WikiData - Andra Waagmeester

Data Exchange Model Of EPGRIS, seminar at the Vavilov Institute in St Petersb...

Efficient source selection for sparql endpoint federation

Knowledge Organization System (KOS) for biodiversity information resources, G...

Viewers also liked

reflective-star

Mette Sauerberg

pouaimes-pouhaines-couverture-librinovaJean-François "JFMA" Moreau

Почему депутаты Госдумы не хотят голосовать за важнейший закон о Центральном...Анатолий Крячко

BY CHEF TAMAAnema Resort Gili Lombok

MCA/MSC mini projects gagnertechnologies

Элективный курс основы векторной графики

Ольга Бутонакова

Produto 4 Relatório Oficina Corredores Brasília Novembro 2006

Vincent Brackelaire

Газета «Наш Черногоров» честное интервью

Анатолий Крячко

ActivationCaseStudy

Sushil Banka

This document provides summaries of various event activations and marketing campaigns executed by Greysell Marketing Promotion Pvt Ltd across different industries and locations in India. The case studies showcase their experience in conceptualizing and implementing strategic branding and engagement activities like conferences, product launches, exhibitions, mall promotions, and movie promotions to help clients achieve their desired marketing objectives. Common execution elements include on-site branding, interactive games, celebrity appearances, and creative theme-based experiences to keep audiences interested and engaged.

S4 parent info term 4 2015 16

AP Pietri

S4 students at Stronsay School will focus on exam preparation in core subjects like English, maths, science, and French during term 4. They will study topics like poetry analysis, biology concepts, and preparing for assessments in areas like writing and speaking. Students will also work to complete portfolio requirements for subjects like art, geography, and health and wellbeing. In optional subjects, S4 students will engage in activities like music listening revision, athletics training, and striking field games.

Timetable 5th jan.17

AP Pietri

Social Media Strategy for Oreo India

Ambika Gaur

Viewers also liked (12)

reflective-star

pouaimes-pouhaines-couverture-librinova

Почему депутаты Госдумы не хотят голосовать за важнейший закон о Центральном...

BY CHEF TAMA

MCA/MSC mini projects

Элективный курс основы векторной графики

Produto 4 Relatório Oficina Corredores Brasília Novembro 2006

Газета «Наш Черногоров» честное интервью

ActivationCaseStudy

S4 parent info term 4 2015 16

Timetable 5th jan.17

Social Media Strategy for Oreo India

Similar to Metadata Management for Spatial Data Infrastructures

RO-Crate: A framework for packaging research products into FAIR Research Objects

Carole Goble

DTL Partners Event - FAIR Data Tech overview - Day 1

Luiz Olavo Bonino da Silva Santos

Active Data: Managing Data-Life Cycle on Heterogeneous Systems and Infrastruc...

Gilles Fedak

Active Data : Managing Data-Life Cycle on Heterogeneous Systems and Infrastructures The Big Data challenge consists in managing, storing, analyzing and visualizing these huge and ever growing data sets to extract sense and knowledge. As the volume of data grows exponentially, the management of these data becomes more complex in proportion. A key point is to handle the complexity of the 'Data Life Cycle', i.e. the various operations performed on data: transfer, archiving, replication, deletion, etc. Indeed, data-intensive applications span over a large variety of devices and e-infrastructures which implies that many systems are involved in data management and processing. ''Active Data'' is new approach to automate and improve the expressiveness of data management applications. It consists of * a 'formal model' for Data Life Cycle, based on Petri Net, that allows to describe and expose data life cycle across heterogeneous systems and infrastructures. * a 'programming model' allows code execution at each stage of the data life cycle: routines provided by programmers are executed when a set of events (creation, replication, transfer, deletion) happen to any data.

New Directions in Metadata

suyu22

Dataset Metadata, Tools and Approaches for Access and Preservation

University of California Curation Center

Grid Projects In The US July 2008

Ian Foster

The document discusses several US grid projects including campus and regional grids like Purdue and UCLA that provide tens of thousands of CPUs and petabytes of storage. It describes national grids like TeraGrid and Open Science Grid that provide over a petaflop of computing power through resource sharing agreements. It outlines specific communities and projects using these grids for sciences like high energy physics, astronomy, biosciences, and earthquake modeling through the Southern California Earthquake Center. Software providers and toolkits that enable these grids are also mentioned like Globus, Virtual Data Toolkit, and services like Introduce.

Adoption of RDA DTR and PID in Deep Carbon Observatory Data Portal

Xiaogang (Marshall) Ma

The Deep Carbon Observatory (DCO) community is building a cyber-enabled platform for linked science, made available to the community by a multi-institutional data portal. Persistent identifiers and domain specific data types have been identified as key technological issues the portal must address. This presentation focuses on the DCO portal’s planned adoption of RDA DTR and PID methodologies and technologies as a means to address the DCO community's need for persistently identifiable and understandable data type information.

Dataset Catalogs as a Foundation for FAIR* Data

Tom Plasterer

BioPharma and the broader research community is faced with the challenge of simply finding the appropriate internal and external datasets for downstream analytics, knowledge-generation and collaboration. With datasets as the core asset, we wanted to promote both human and machine exploitability, using web-centric data cataloguing principles as described in the W3C Data on the Web Best Practices. To do so, we adopted DCAT (Data CATalog Vocabulary) and VoID (Vocabulary of Interlinked Datasets) for both RDF and non-RDF datasets at summary, version and distribution levels. Further, we’ve described datasets using a limited set of well-vetted public vocabularies, focused on cross-omics analytes and clinical features of the catalogued datasets.

Developing Linked Data and Semantic Web-based Applications (Expotec 2015)

Ig Bittencourt

The document discusses developing Linked Data and Semantic Web applications. It begins with key concepts related to Linked Data, the Semantic Web, and applications. It then describes two key steps in developing such applications: publishing data as Linked Data and consuming Linked Data to build applications. Examples are provided of extracting, enriching, and linking different datasets to build a real estate recommendation application that performs semantic searches over the integrated data. Ontologies are created and reused to represent the domains and support interoperability. The document emphasizes integrating the data and software engineering perspectives in developing Semantic Web applications.

RO-Crate: packaging metadata love notes into FAIR Digital Objects

Carole Goble

Abstract slides available at: https://zenodo.org/record/7147703#.Y7agoxXP2F4 The Helmholtz Metadata Collaboration aims to make the research data [and software] produced by Helmholtz Centres FAIR for their own and the wider science community by means of metadata enrichment [1]. Why metadata enrichment and why FAIR? Because the whole scientific enterprise depends on a cycle of finding, exchanging, understanding, validating, reproducing), integrating and reusing research entities across a dispersed community of researchers. Metadata is not just “a love note to the future” [2], it is a love note to today’s collaborators and peers. Moreover, a FAIR Commons must cater for the metadata of all the entities of research – data, software, workflows, protocols, instruments, geo-spatial locations, specimens, samples, people (well as traditional articles) – and their interconnectivity. That is a lot of metadata love notes to manage, bundle up and move around. Notes written in different languages at different times by different folks, produced and hosted by different platforms, yet referring to each other, and building an integrated picture of a multi-part and multi-party investigation. We need a crate! RO-Crate [3] is an open, community-driven, and lightweight approach to packaging research entities along with their metadata in a machine-readable manner. Following key principles - “just enough” and “developer and legacy friendliness - RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility and citability. As a self-describing and unbounded “metadata middleware” framework RO-Crate shows that a little bit of packaging goes a long way to realise the goals of FAIR Digital Objects (FDO)[4], and to not just overcome platform diversity but celebrate it while retaining investigation contextual integrity. In this talk I will present the why, and how Research Object packaging eases Metadata Collaboration using examples in big data and mixed object exchange, mixed object archiving and publishing, mass citation, and reproducibility. Some examples come from the HMC, others from EOSC, USA and Australia, and from different disciplines. Metadata is a love note to the future, RO-Crate is the delivery package. [1] https://helmholtz-metadaten.de/en [2] Scott, Jason The Metadata Mania, http://ascii.textfiles.com/archives/3181, June 2011 [3] Soiland-Reyes, Stian et al. “Packaging Research Artefacts with RO-Crate”. Data Science, 2022; 5(2):97-138, DOI: 10.3233/DS-210053 [4] De Smedt K, Koureas D, Wittenburg P. “FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units”. Publications. 2020; 8(2):21. https://doi.org/10.3390/publications8020021

Big Data Platform Industrialization

DataWorks Summit/Hadoop Summit

The document outlines Renault's big data initiatives from 2014-2016 which progressed from an initial sandbox to a full industrialized big data platform. Key steps included implementing a new Hadoop infrastructure in 2015, industrializing the platform in 2016 to host production projects and POCs, and designing for scalability, isolation, simplified operations, and data protection. The document also discusses deploying quality projects to the data lake, ingestion scenarios, interactive SQL analytics, security measures including tokenization, and the next steps of federation and dynamic data change management.

Big Data Platform Industrialization

DataWorks Summit/Hadoop Summit

The document outlines Renault's big data initiatives from 2014-2016, including: 1. Starting with a big data sandbox in 2014 using an old HPC infrastructure for data exploration. 2. Implementing a DataLab in 2015 with a new HP infrastructure and establishing a first level of industrialization while improving data protection. 3. Creating a big data platform in 2016 to industrialize hosting both proofs of concept and production projects while ensuring data protection.

Odam: Open Data, Access and Mining

Daniel JACOB

How Rackspace Cloud Monitoring uses Cassandra

gdusbabek

This document summarizes a Cassandra usage example. It describes using Cassandra for a monitoring control (CM) cluster and a separate data cluster. The CM cluster stores metadata and configuration in Cassandra and uses a Node.js API and ORM. The data cluster ingests high-volume time-series metrics data, performs rollups to different granularities (minutes, hours, days), and stores the results in Cassandra for fast retrieval.

Dynamic integrations of crop data and corresponding meteorological data based...

AIMS (Agricultural Information Management Standards)

The document summarizes a system for integrating crop data and meteorological data using a standardized data exchange framework. The system uses a metadata database and broker service called MetBroker to provide consistent access to heterogeneous weather databases. Crop data from different sources can be uploaded and integrated into a central database. The system then allows users to query the integrated crop and weather data and analyze relationships to support applications like crop modeling.

Dynamic Integrations of Crop Data and Corresponding Meteorological Data based...

AIMS (Agricultural Information Management Standards)

Open Data and CKAN Data Catalogues

david-read

Benchmarking RDF Metadata Representations: Reification, Singleton Property an...

Fabrizio Orlandi

1) The document compares different methods for representing statement-level metadata in RDF, including RDF reification, singleton properties, and RDF*. 2) It benchmarks the storage size and query execution time of representing biomedical data using each method in the Stardog triplestore. 3) The results show that RDF* requires fewer triples but the database size is larger, and it outperforms the other methods for complex queries.

Open Analytics Environment

Ian Foster

Data access and data extraction services within the Land Imagery Portal

Gasperi Jerome

Similar to Metadata Management for Spatial Data Infrastructures (20)

RO-Crate: A framework for packaging research products into FAIR Research Objects

DTL Partners Event - FAIR Data Tech overview - Day 1

Active Data: Managing Data-Life Cycle on Heterogeneous Systems and Infrastruc...

New Directions in Metadata

Dataset Metadata, Tools and Approaches for Access and Preservation

Grid Projects In The US July 2008

Adoption of RDA DTR and PID in Deep Carbon Observatory Data Portal

Dataset Catalogs as a Foundation for FAIR* Data

Developing Linked Data and Semantic Web-based Applications (Expotec 2015)

RO-Crate: packaging metadata love notes into FAIR Digital Objects

Big Data Platform Industrialization

Odam: Open Data, Access and Mining

How Rackspace Cloud Monitoring uses Cassandra

Dynamic integrations of crop data and corresponding meteorological data based...

Dynamic Integrations of Crop Data and Corresponding Meteorological Data based...

Open Data and CKAN Data Catalogues

Benchmarking RDF Metadata Representations: Reification, Singleton Property an...

Open Analytics Environment

Data access and data extraction services within the Land Imagery Portal

Recently uploaded

Session 1 - Intro to Robotic Process Automation.pdf

UiPathCommunity

👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program: https://bit.ly/Automation_Student_Kickstart In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC. 📕 Detailed agenda: What is RPA? Benefits of RPA? RPA Applications The UiPath End-to-End Automation Platform UiPath Studio CE Installation and Setup 💻 Extra training through UiPath Academy: Introduction to Automation UiPath Business Automation Platform Explore automation development with UiPath Studio 👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/

Apps Break Data

Ivo Velitchkov

How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?

Northern Engraving | Nameplate Manufacturing Process - 2024

Northern Engraving

Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!

What is an RPA CoE? Session 2 – CoE Roles

DianaGray10

PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx

christinelarrosa

Principle of conventional tomography-Bibash Shahi ppt..pptx

BibashShahi

[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...

Jason Yip

The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

Alex Pruden

Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels

Northern Engraving

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

ScyllaDB

High performance Serverless Java on AWS- GoTo Amsterdam 2024

Vadym Kazulkin

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.

AppSec PNW: Android and iOS Application Security with MobSF

Ajin Abraham

Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application. This talk covers: Using MobSF for static analysis of mobile applications. Interactive dynamic security assessment of Android and iOS applications. Solving Mobile app CTF challenges. Reverse engineering and runtime analysis of Mobile malware. How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.

"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba

Fwdays

This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application. In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy. We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.

What is an RPA CoE? Session 1 – CoE Vision

DianaGray10

"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk

Fwdays

At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience

Day 2 - Intro to UiPath Studio Fundamentals

UiPathCommunity

In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project. 📕 Detailed agenda: Variables and Datatypes Workflow Layouts Arguments Control Flows and Loops Conditional Statements 💻 Extra training through UiPath Academy: Variables, Constants, and Arguments in Studio Control Flow in Studio

Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors

DianaGray10

Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more. The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications. We’ll discuss and demo the benefits of UiPath Apps and connectors including: Creating a compelling user experience for any software, without the limitations of APIs. Accelerating the app creation process, saving time and effort Enjoying high-performance CRUD (create, read, update, delete) operations, for seamless data management. Speakers: Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP Charlie Greenberg, host

Christine's Product Research Presentation.pptx

christinelarrosa

Harnessing the Power of NLP and Knowledge Graphs for Opioid Research

Neo4j

"Scaling RAG Applications to serve millions of users", Kevin Goedecke

Fwdays

Recently uploaded (20)

Session 1 - Intro to Robotic Process Automation.pdf

Apps Break Data

Northern Engraving | Nameplate Manufacturing Process - 2024

What is an RPA CoE? Session 2 – CoE Roles

PRODUCT LISTING OPTIMIZATION PRESENTATION.pptx

Principle of conventional tomography-Bibash Shahi ppt..pptx

[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

High performance Serverless Java on AWS- GoTo Amsterdam 2024

AppSec PNW: Android and iOS Application Security with MobSF

"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba

What is an RPA CoE? Session 1 – CoE Vision

"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk

Day 2 - Intro to UiPath Studio Fundamentals

Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors

Christine's Product Research Presentation.pptx

Harnessing the Power of NLP and Knowledge Graphs for Opioid Research

"Scaling RAG Applications to serve millions of users", Kevin Goedecke

Metadata Management for Spatial Data Infrastructures

1. Metadata Management for Spatial Data Infrastructures Kim Durante Metadata Librarian, Geospatial and Scienti8ic Data Stanford Libraries

2. GIS at Stanford University Libraries

3. Stanford Digital Repository

4. Persistent URL (PURL) http://purl.stanford.edu/vx760hv6666

5. GeoBlacklight & EarthWorks earthworks.stanford.edu

7. Collection-‐level Metadata WorkOlow register Repository Identify collection of one or more layers Create collection level-record Register item with rights policy Create metadata Layers

8. ISO Layer-‐level Metadata WorkOlow register layer Template XSLTFor items with no existing metadata For items with existing metadata Assign collection and rights policy deposit auto-generate localized Check data properties

9. Digital Repository Unique IdentiOier (DRUID) Layer DRUID ns588nd3145 URL http://purl.stanford.edu/ns588nd3145 Metadata File Identi8ier edu.stanford.purl:ns588nd3145 Collection DRUID vq006xg0504 Aggregate Dataset Identi8ier http://purl.stanford.edu/vq006xg0504 Parent Metadata Identi8ier http://purl.stanford.edu/vq006xg0504.mods

10. Collection-‐level Template Elements Aggregate dataset title Renewable energy GIS data (United States) Originator/Publisher Hart Energy Publishing Place keyword United States ISO topic category utilitiesCommunication Access/Use constraints restricted Publication date 01/01/2015 Edition 1018 Update Aggregate dataset identi8ier http://purl.stanford.edu/vq006xg0504 Parent metadata identi8ier http://purl.stanford.edu/vq006xg0504.mods

11. Localized editing Title Geothermal Power Plants in the United States, 2015 Abstract This point shape8ile represents geothermal power plants in the United States. Plant names and operators, as well as types of plant are speci8ied for each point. This layer is part of the Renewable Energy GIS data collection. Theme keyword Geothermal power plants Temporal extent 2015-‐01-‐01 (publication date)

12. Updating Existing Metadata •  Varies signi8icantly by collection •  Requires survey of all existing records •  Collection-‐level elements applied using XSLT •  Edit layer-‐speci8ic metadata

13. Auto-‐generating Metadata Add identi8iers: •  Metadata 8ile identi8ier •  Citation linkage •  Distribution URL •  UUIDs (for feature catalogs ) Add credit statement, 8ilenames, etc.

14. Feature Catalog Metadata LABEL DEFINITION COUNTRY Country name CITY City name Z1 ??? Z14 ??? Z29 ??? Z53 ??? Z139 ???

15. Feature Catalog Metadata LABEL DEFINITION COUNTRY Country name CITY City name Z1 Total population Z14 6 or more years old, male population Z29 15-‐19 years old population Z53 Population with disability Z139 Private homes without electricity

16. AssemblyWorkOlow assembly wrangle ISO 19139 MODS package place names-‐ URIs extract bounding box data metadata ﬁnish Discovery and delivery work8lows are initiated

17. Discovery WorkOlow

18. Open GeoMetadata

19. Thanks! More information: Hydra -‐ projecthydra.org GeoBlacklight -‐ geoblacklight.org OpenGeoMetadata -‐ opengeometadta.github.com XSLT, Python, XML templates – github.com/kimdurante/geoMetadata Contact: Email: kimberlydurante@gmail.com Twitter: @kimtruck Contributors: Darren Hardy, Jack Reed, Julie Sweetkind-‐Singer, Kate Dillon, Stace Maples, David Mederios, G. Salim Mohammed, Bess Sadler, Eliot Jordan, Mike Graves.

Metadata Management for Spatial Data Infrastructures

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (12)

Similar to Metadata Management for Spatial Data Infrastructures

Similar to Metadata Management for Spatial Data Infrastructures (20)

Recently uploaded

Recently uploaded (20)

Metadata Management for Spatial Data Infrastructures