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Example: a poster explicating a concept.": 2, "Animation - a method of making a series of drawings, computer graphics or photographs appear to move.": 0, "Dataset - collection of information organized in logical record and block structures for use by a computer.": 0, "Physical Object - entity that has a physical presence in the present, as opposed to an artifact (a physical object) of the past.": 0, "Service - self-contained unit of functionality that enables operations or capabilities, e.g., searching for instruction or training resources on data management.": 0, "Software - programs used to direct the operation of a computer and related devices.": 0, "Sound - an explanation of a concept or a story using audio means within the acoustic range available to humans, and differentiated from audio visual resources (i.e.,moving image).": 0 }, "access_cost": { "false": 86, "true": 1 }, "status": { "true": 86, "false": 1 }, "pub_status": { "published": 87, "in-process": 0 } }, "results": [ { "id": "93a7b9ae-659d-46bd-acfa-86c79a968868", "pub_status": "published", "status": 0, "rating": 0.0, "ratings": [], "creator": "Nhoebelheinrich", "created": "2024-01-25T09:12:50Z", "submitter_email": "nhoebel@kmotifs.com", "submitter_name": "Nhoebelheinrich", "title": "Databases and Data Management", "url": "https://ucsb-library-research-data-services.github.io/bren-meds213-spring-2023/", "access_cost": "false", "authors": [ { "givenName": "Greg", "familyName": "Jan\u00e9e", "name_identifier": "", "name_identifier_type": "n/a" }, { "givenName": "Renata", "familyName": "Curty", "name_identifier": "", "name_identifier_type": "n/a" } ], "author_org": { "name": "University of California,Santa Barbara", "name_identifier": "https://ror.org/02t274463", "name_identifier_type": "ROR" }, "contact": { "name": "Greg Janee", "org": "University of California, Santa Barbara", "email": "gjanee@ucsb.edu" }, "abstract_data": "This is an archive of the materials used for a 4-unit, letter-grade course delivered in Spring 2023 as part of the Master of Environmental Data Science (MEDS) program in the Bren School of Environmental Science & Management. It includes PowerPoint presentations, instructor notes, live coding transcripts, supplemental materials and readings, and homework assignments. The goals of the course were to give MEDS students the skills they need to practically, successfully, and ethically manage their data, and to create, manage, and use relational databases where appropriate. Relational database topics went farther than just SQL queries and included a significant unit on data modeling and database constraints and integrity, in addition to advanced database topics such as triggers and indexes and accessing databases from programming environments. The data management portion tied into the students\u2019 capstone projects in a couple places, and included analyzing data from an ethical perspective, creating standards-compliant metadata, and employing data de-identification techniques. The course also included a unit on the Unix command line, with an emphasis on creating reusable Bash scripts, given in the spirit that Bash is a generally useful tool that all data scientists should have at least some familiarity with.", "subject": [ "Physical Sciences and Mathematics: Environmental Sciences" ], "keywords": [ "Accessible data - FAIR Data Principle", "Data documentation", "Data ethics", "Data management", "Data modeling", "Data privacy", "Data publication", "Database design", "Database management", "Metadata", "Metadata editors", "Metadata standards", "Open data", "Programming", "Python", "R software", "Relational database", "Restricted data", "Structured Query Language (SQL)", "Unix" ], "license": "Creative Commons Attribution-NonCommercial 4.0 International - CC BY-NC 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "University of California,Santa Barbara", "accesibility_features": [], "accesibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Graduate student" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 Week", "media_type": "Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.", "lr_type": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "country_of_origin": "US", "resource_modification_date": "2023-12-21", "contributors": [], "contributor_orgs": [], "modification_date": "2024-01-25T09:14:59Z", "published": "2024-01-25T09:12:50Z", "score": 2.310388, "abstract_format": null, "accessibility_features": {}, "accessibility_summary": null, "author_names": [], "credential_status": null, "md_record_id": null, "notes": [], "version": null }, { "title": "Introducci\u00f3n a Topic Modeling y MALLET", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:59:03Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://programminghistorian.org/es/lecciones/topic-modeling-y-mallet", "access_cost": 0, "submitter_name": "Nancy J Hoebelheinrich", "submitter_email": "njhoebel@gmail.com", "authors": [ { "givenName": "Shawn", "familyName": "Graham", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Scott", "familyName": "Weingart", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Ian", "familyName": "Milligan", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Shawn Graham", "Scott Weingart", "Ian Milligan" ], "author_org": { "name": "The Programming Historian", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "En esta lección, primero aprenderás qué es topic modeling1 y por qué podrías querer utilizarlo en tus investigaciones. Luego aprenderás cómo instalar y trabajar con MALLET, una caja de herramientas para procesamiento de lenguajes naturales (PLN) que sirve para realizar este tipo de análisis. MALLET requiere que se modifique una variable de entorno (esto es, configurar un atajo para que la computadora sepa en todo momento dónde encontrar el programa MALLET) y que se trabaje con la línea de comandos (es decir, tecleando comandos manualmente en vez de hacer clic en íconos o menús).", "abstract_format": "filtered_html", "subject": "Arts and Humanities", "keywords": [ "Data access methods", "Data modeling", "Data skills education", "Digital humanities", "Humanities data", "Programming", "Software management" ], "license": "", "usage_info": "", "citation": "Shawn Graham, Scott Weingart, y Ian Milligan, \"Introducci\u00f3n a Topic Modeling y MALLET\", traducido por Ulrike Henny-Krahmer, The Programming Historian en espa\u00f1ol 2 (2018), https://doi.org/10.46430/phes0040.", "locator_data": "10.46430/phes0040", "locator_type": "DOI", "publisher": "The Programming Historian", "version": "", "created": "2021-06-01T17:00:29", "published": "2012-09-02T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Early-career research scientist", "Graduate student", "Librarian", "Mid-career research scientist", "Research faculty", "Research scientist", "Software engineer", "Technology expert group", "Undergraduate student" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "af3793fd-2008-315f-9f10-4a79adef3b9f", "contributors": [], "contributor_orgs": [], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "EC FAIR How-to Series: Getting a DOI for Your Data", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:59:03Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://library.ucsd.edu/dc/object/bb10665684", "access_cost": 0, "submitter_name": "Nancy J Hoebelheinrich", "submitter_email": "njhoebel@gmail.com", "authors": [ { "givenName": "Nancy J.", "familyName": "Hoebelheinrich", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Nancy J. Hoebelheinrich" ], "author_org": { "name": "Knowledge Motifs LLC", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Nancy J. Hoebelheinrich", "org": "Knowledge Motifs LLC", "email": "" }, "abstract_data": "Identifiers are very important as a means to make research data more FAIR (Findable Accessible Interoperable Reusable). This quick reference guide briefly describes why, when, where and how to acquire a digital object identifier (DOI) for research data.    The guide is targeted to Earth Science researchers, but should be useful for other researchers and their support staff as well.  It is part of the EarthCub How-to Series that is designed to provide targeted, practical lessons on making research data FAIR.  ", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Accessible data - FAIR Data Principle", "Findable data - FAIR Data Principle", "Persistent Identifiers (PID)" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "Hoebelheinrich, Nancy J. (2021). EC FAIR How-to Series: Getting a DOI for Your Data. In EarthCube Organization Materials. UC San Diego Library Digital Collections. https://doi.org/10.6075/J06973F4", "locator_data": "10.6075/J06973F4", "locator_type": "DOI", "publisher": "EarthCube", "version": "", "created": "2021-11-05T15:04:02", "published": "2021-05-22T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "FAIR Data Principles", "nodes": [ { "description": "", "name": "Accessible" }, { "description": "", "name": "Findable" }, { "description": "", "name": "Interoperable" }, { "description": "", "name": "Re-usable" } ], "type": "framework" } ], "target_audience": [ "Early-career research scientist", "Mid-career research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "media_type": "Static Image - a single visual representation that does not change. Example: a poster explicating a concept.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "91d35f96-d883-342a-a3e9-442fda2abff8", "contributors": [], "contributor_orgs": [ { "name": "EarthCube", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "EarthCube FAIR How-to Series: Choosing a Repository for Your Data", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:59:03Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://library.ucsd.edu/dc/object/bb74830103", "access_cost": 0, "submitter_name": "Nancy J. Hoebelheinrich", "submitter_email": "nhoebel@kmotifs.con", "authors": [ { "givenName": "Nancy J.", "familyName": "Hoebelheinrich", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Nancy J. Hoebelheinrich" ], "author_org": { "name": "Knowledge Motifs LLC", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Nancy J. Hoebelheinrich", "org": "Knowledge Motifs LLC", "email": "" }, "abstract_data": "This quick reference guide briefly describes why, when, where and how to choose a FAIR-enabled data repository for research data.    The guide is targeted to Earth Science researchers, but should be useful for other researchers and their support staff as well.  It is part of the EarthCub How-to Series that is designed to provide targeted, practical lessons on making research data FAIR.  ", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data reuse - Core Trustworthy Data Repositories Requirements", "Data storage" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "Hoebelheinrich, Nancy J. (2021). EC FAIR How-to Series: Choosing a Repository for Your Data. In EarthCube Organization Materials. UC San Diego Library Digital Collections. https://doi.org/10.6075/J02J6BQD", "locator_data": "10.6075/J02J6BQD", "locator_type": "DOI", "publisher": "EarthCube", "version": "", "created": "2021-11-06T13:11:47", "published": "2021-05-11T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "FAIR Data Principles", "nodes": [ { "description": "", "name": "Accessible" }, { "description": "", "name": "Findable" }, { "description": "", "name": "Re-usable" } ], "type": "framework" } ], "target_audience": [ "Early-career research scientist", "Mid-career research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "media_type": "Static Image - a single visual representation that does not change. Example: a poster explicating a concept.", "lr_type": "Images / Visuals - media, including but not limited to pictures, graphics, diagrams, figures, illustrations, charts, and maps.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "d57952b5-fc5a-3045-86bc-d93c5acb75fb", "contributors": [], "contributor_orgs": [ { "name": "EarthCube", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "The Paper and The Data: Authors, Reviewers, and Editors Webinar on Updated Journal Practices for Data (and Software)", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:47Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://doi.org/10.5281/zenodo.3744660", "access_cost": 0, "submitter_name": "Shelley Stall", "submitter_email": "sstall@agu.org", "authors": [ { "givenName": "Shelley", "familyName": "Stall", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Randy", "familyName": "Townsend", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Erin", "familyName": "Robinson", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Shelley Stall", "Randy Townsend", "Erin Robinson" ], "author_org": { "name": "", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Shelley Stall", "org": "American Geophysical Union (AGU)", "email": "" }, "abstract_data": "The Paper and The Data workshop was first presented at the Ocean Science meeting held in February 2020. \u00a0Following that conference it was updated and presented as five recorded modules for the purpose of sharing broadly. The workshop consists of 5 modules on topics related to the new practices of publishers for journals for the improvement of data and software sharing that are targeted to journal authors, reviewers, and editors.\u00a0 Both slides and video presentations of the slides are available.\u00a0 Modules include:
\n
\nModule 1: Introduction\u00a0 \n \n
\nModule 2: Data \n \nModule 3: Software\u00a0 \n \n \nModule 4: Peer Review\u00a0 \n \n \n
\nModule 5: Persistent Identifiers\u00a0 \n \n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data citation", "Data sharing", "Digital scholarship", "Scholarly publishing", "Software citation", "Software sharing" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "Stall, Shelley, Townsend, Randy, & Robinson, Erin. (2020, April). The Paper and The Data: Authors, Reviewers, and Editors Webinar on Updated Journal Practices for Data (and Software). Zenodo. http://doi.org/10.5281/zenodo.3744660", "locator_data": "10.5281/zenodo.3744660", "locator_type": "DOI", "publisher": "Zenodo", "version": "", "created": "2020-10-07T12:01:39", "published": "2020-04-02T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Funding organization", "Librarian", "Publisher", "Research faculty", "Research scientist" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "82ae76e0-fcce-3c23-b07d-08940925d055", "contributors": [ { "familyName": "Brewer", "givenName": "Peter", "type": "Collaborator" }, { "familyName": "Gries", "givenName": "Corinna", "type": "Collaborator" }, { "familyName": "Smith", "givenName": "Colin", "type": "Collaborator" }, { "familyName": "Allen", "givenName": "Alice", "type": "Collaborator" }, { "familyName": "Fenner", "givenName": "Martin", "type": "Collaborator" } ], "contributor_orgs": [ { "name": "Belmont Forum", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:43Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://hdl.handle.net/1912/26103", "access_cost": 0, "submitter_name": "Stace Beaulieu", "submitter_email": "sbeaulieu@whoi.edu", "authors": [ { "givenName": "Stace E.", "familyName": "Beaulieu", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Lisa", "familyName": "Raymond", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Audrey", "familyName": "Mickle", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Joe", "familyName": "Futrelle", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Nick", "familyName": "Symmonds", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Roberta", "familyName": "Mazzoli", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Rich", "familyName": "Brey", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Danie", "familyName": "Kinkade", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Shannon", "familyName": "Rauch", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Stace E. Beaulieu", "Lisa Raymond", "Audrey Mickle", "Joe Futrelle", "Nick Symmonds", "Roberta Mazzoli", "Rich Brey", "Danie Kinkade", "Shannon Rauch" ], "author_org": { "name": "", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "With data and software increasingly recognized as scholarly research products, and aiming towards open science and reproducibility, it is imperative for today's oceanographers to learn foundational practices and skills for data management and research computing, as well as practices specific to the ocean sciences. This educational package was developed as a data science training camp for graduate students and professionals in the ocean sciences and implemented at the Woods Hole Oceanographic Institution (WHOI) in 2019 and 2020. Here we provide materials for the 2020 camp.  Contents of this package include the syllabus and slide presentations for each of the four modules:
\r\n1 "Good enough practices in scientific computing,"
\r\n2 Data management,
\r\n3 Software development and research computing,
\r\nand 4 Best practices in the ocean sciences.
\r\nThe 3rd module is split into two parts. We also include a poster presented at the 2020 Ocean Science Meeting, which has some results from pre- and post-surveys.
\r\n ", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Earth Sciences", "keywords": [ "Big data", "Coastal data", "Data citation", "Data management", "Data sharing", "Ocean data", "Open science", "Programming", "Scientific reproducibility", "Software management" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "Beaulieu, Stace E., Raymond, Lisa, Mickle, Audrey, Futrelle, Joe, Symmonds, Nick, Mazzoli, Roberta, Brey, Rich, Kinkade, Danie, Rauch, Shannon, \"Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020\", Presented at Data Science Training Camp, Woods Hole, MA, January, 22 - 23, 2020., DOI:10.1575/1912/26103, https://hdl.handle.net/1912/26103", "locator_data": "10.1575/1912/26103", "locator_type": "DOI", "publisher": "Woods Hole Scientific Community (WHOS)", "version": "", "created": "2020-09-09T15:20:28", "published": "2020-08-21T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data professional", "Early-career research scientist", "Graduate student", "Librarian", "Mid-career research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "f1a11daf-e19a-3854-9517-e6540a3b5cda", "contributors": [], "contributor_orgs": [ { "name": "Woods Hole Oceanographic Institution (WHOI)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "National Science Foundation (NSF)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Teledetecci\u00f3n para el Monitoreo de los ODS sobre la Degradaci\u00f3n de Tierras y Ciudades Sostenibles", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:43Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "Brock Blevins", "submitter_email": "brock.blevins@nasa.gov", "authors": [ { "givenName": "Brock", "familyName": "Blevins", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Brock Blevins" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "Los Objetivos de Desarrollo Sostenible (ODS) son un llamado urgente a la acci\u00f3n a todos los pa\u00edses para preservar nuestros oc\u00e9anos y bosques, reducir la desigualdad y fomentar el crecimiento econ\u00f3mico. Los ODS sobre la gesti\u00f3n de tierras exigen un seguimiento consistente de las m\u00e9tricas de la cobertura terrestre. Estas m\u00e9tricas incluyen productividad, cobertura terrestre, carbono en el suelo, expansi\u00f3n urbana y m\u00e1s. Esta serie de webinars resaltar\u00e1 una herramienta que utiliza observaciones de la tierra de la NASA para monitorear la degradaci\u00f3n de las tierras y el desarrollo urbano que cumplen las metas de los ODS apropiados. \u00a0
\n
\nLos ODS 11 y 15 tratan la urbanizaci\u00f3n sostenible as\u00ed como el uso y los cambios en la cobertura terrestre. El ODS anhela \u0093lograr que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles.\u0094 El ODS 15 promueve \u0093luchar contra la desertificaci\u00f3n, la sequ\u00eda y las inundaciones y procurar lograr un mundo con una degradaci\u00f3n neutra del suelo.\" Para evaluar el progreso hacia estos fines, hay indicadores establecidos, muchos de los cuales se pueden monitorear mediante la teledetecci\u00f3n.
\n
\nEn esta capacitaci\u00f3n los/las participantes aprender\u00e1n a utilizar un plugin de QGIS libremente disponible, Trends.Earth, creado por Conservation International (CI). Trends.Earth permite a los usuarios diagramar series temporales de indicadores clave de cambios en la cobertura terrestre. Los/las participantes aprender\u00e1n a producir mapas y figuras para apoyar el seguimiento y la informaci\u00f3n sobre la degradaci\u00f3n de tierras, mejoras y urbanizaci\u00f3n para los indicadores de los ODS 15.3.1 y 11.3.1. Cada parte de esta serie contendr\u00e1 una presentaci\u00f3n, un ejercicio pr\u00e1ctico y tiempo para hacerle preguntas en vivo al presentador/ la presentadora.\u00a0\u00a0
\n
\nObjetivos de Aprendizaje:
\n
\nDurante esta capacitaci\u00f3n, usted har\u00e1 lo siguiente: \n \nFormato del Curso: \n \n \nPrima Parte
\n
\nEn esta sesi\u00f3n aprender\u00e1n acerca del marco de los ODS y la coordinaci\u00f3n entre agencias a nivel mundial; se familiarizar\u00e1n con el ODS 15, Meta 15.3 e Indicador 15.3.1; aprender\u00e1n sobre el concepto de la productividad primaria neta y c\u00f3mo monitorear esa m\u00e9trica con datos por teledetecci\u00f3n; tambi\u00e9n aprenderemos c\u00f3mo visualizar e interpretar datos por teledetecci\u00f3n asociados con el ODS 15 dentro de una herramienta para QGIS desarrollada por Conservation International llamada Trends.Earth como un ejercicio pr\u00e1ctico. \n \nSegunda Parte
\n
\nEn esta sesi\u00f3n, aprender\u00e1n acerca de los cambios en la cobertura terrestre y el carbono org\u00e1nico del suelo y c\u00f3mo monitorear esas m\u00e9tricas mediante la teledetecci\u00f3n; aprender\u00e1n acerca de los requisitos en cuanto a la presentaci\u00f3n de informes para el ODS 15; adem\u00e1s,visualizar\u00e1n e interpretar\u00e1n datos por teledetecci\u00f3n locales asociados con el ODS dentro de Trends.Earth. \n \nTercera Parte
\n
\nEn esta sesi\u00f3n aprender\u00e1n acerca del ODS 11, Meta 11.3 e Indicador 11.3.1; aprender\u00e1n acerca de las entradas necesarias para calcular el Indicador 11.3.1 y visualizar\u00e1n e interpretar\u00e1n el mapeo de \u00e1reas urbanas dentro de Trends.Earth. \n \n", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Earth Sciences", "keywords": [ "Agriculture data", "Capacity building", "Conservation", "Data access", "Environmental management", "Geographic Information System (GIS)", "Land management", "Open access", "Remote sensing", "Satellite imagery", "Sustainable cities", "Sustainable Development Goals (SDGs)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-09T16:41:22", "published": "2019-07-09T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "b4ba379c-87e5-380f-8572-f446bf6d62b9", "contributors": [ { "familyName": "McCullum", "givenName": "Amber", "type": "Co-presenter" } ], "contributor_orgs": [ { "name": "Conservation International", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "United Nations Convention to Combat Desertification (UNCCD)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "UN Habitat", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Code of Best Practices and Other Legal Tools for Software Preservation: 2019 Webinar Series", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:59Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.softwarepreservationnetwork.org/spn-resources/", "access_cost": 0, "submitter_name": "Nancy Hoebelheinrich", "submitter_email": "nhoebel@kmotifs.com", "authors": [], "author_names": [], "author_org": { "name": "Software Preservation Network (SPN)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "Since 2015, the Software Preservation Network (SPN) has worked to create a space where organizations from industry, academia, government, cultural heritage, and the public sphere can contribute their myriad skills and capabilities toward collaborative solutions that will ensure persistent access to all software and all software-dependent objects. The organization's goal is to make it easier to deposit, discover, and reuse software.

\nA key activity of the SPN is to provide webinar series on topics related to software preservation.\u00a0 The 2019 series include:
\nEpisode 1: The Code of Best Practices for Fair Use in Software Preservation, Why and How?
\nEpisode 2:\u00a0 Beginning the Preservation Workflow
\nEpisode 3:\u00a0\u00a0Making Software Available Within Institutions and Networks
\nEpisode 4:\u00a0\u00a0Working with Source Code and Software Licenses
\nEpisode 5:\u00a0\u00a0Understanding the Anti-circumvention Rules and the Preservation Exemptions
\nEpisode 6:\u00a0\u00a0Making the Code Part of Software Preservation Culture
\nEpisode 7:\u00a0\u00a0International Implications

\nSee information about each episode separately.
\n\u00a0 \n

\u00a0

\n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Access rights", "Community standards", "Continuity of access - - Core Trustworthy Data Repositories Requirements", "Copyright of data", "Data curation", "Data preservation", "Data stewardship", "Expert guidance - Core Trustworthy Data Repositories Requirements", "Fair use copyright doctrine", "Licenses - Core Trustworthy Data Repositories Requirements", "Reusable software", "Software management", "Software preservation" ], "license": "", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Software Preservation Network (SPN)", "version": "", "created": "2019-05-11T14:38:28", "published": "2018-11-30T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data manager", "Data policymaker", "Data professional", "Early-career research scientist", "Educator", "Librarian", "Repository manager", "Research faculty", "Software engineer", "Technology expert group" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.", "lr_type": "Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "9530f1a4-cb28-3cd2-b330-42a764a4d240", "contributors": [], "contributor_orgs": [ { "name": "Association of Research Libraries (ARL)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Cyberlaw Clinic @ Harvard Law School", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Institute of Museum and Library Services (IMLS)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Alfred P. Sloan Foundation", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "Andrew W. Mellon Foundation", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "Institute of Museum and Library Services (IMLS)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "The Agriculture Open Data Package", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:26Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.godan.info/media/3rd-godan-action-webinar-agriculture-open-data-package-agpack-16-may-2017", "access_cost": 0, "submitter_name": "Nancy Hoebelheinrich", "submitter_email": "nhoebel@kmotifs.com", "authors": [ { "givenName": "Andre", "familyName": "Jellema", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Andre Jellema" ], "author_org": { "name": "Global Open Data for Agriculture and Nutrition (GODAN)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "he third GODAN Capacity Development Working Group webinar, supported by GODAN Action, focused on the Agriculture Open Data Package (AgPack).

\nIn 2016 GODAN, ODI, the Open Data Charter and OD4D developed the Agricultural Open Data Package (AgPack) to help governments to realize impact with open data in the agriculture sector and food security.\u00a0
\nDuring the webinar the speakers outlined examples and use cases of governments using open data in support of their agricultural sector and food security. Also, the different roles a government can pick up to facilitate such a development, how open data can support government policy objectives on agriculture and food security.\u00a0", "abstract_format": "filtered_html", "subject": "Life Sciences: Agriculture", "keywords": [ "Agriculture data", "Capacity building", "Cyberinfrastructure to enable FAIR data principles", "Data policy", "Data sharing", "Food security data", "Nutrition data", "Open data" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Global Open Data for Agriculture and Nutrition (GODAN)", "version": "", "created": "2018-04-28T12:31:03", "published": "2017-05-16T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data policymaker", "Data professional", "Data supporter", "Librarian", "Research faculty", "Research scientist" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "Up to 1 hour", "media_type": "Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "2ed67758-a500-3c37-bd29-958da02d7794", "contributors": [], "contributor_orgs": [ { "name": "Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "GODAN Working Group on Capacity Development", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Project administration and management" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "GODAN Webinar Series", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:26Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.youtube.com/playlist?list=PLv8yRTnf9h7j-5SoKRs6lEsdI1EyzM8Cc", "access_cost": 0, "submitter_name": "Nancy Hoebelheinrich", "submitter_email": "nhoebel@kmotifs.com", "authors": [], "author_names": [], "author_org": { "name": "GODAN Working Group on Capacity Development", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "A series of webinars organised by the GODAN Working Group on Capacity Development in collaboration with CTA. The Global Open Data for Agriculture and Nutrition (GODAN) supports the proactive sharing of open data to make information about agriculture and nutrition available, accessible and usable to deal with the urgent challenge of ensuring world food security. A core principle behind GODAN is that a solution to Zero Hunger lies within existing, but often unavailable, agriculture and nutrition data. At the GODAN Summit in September 2016, GODAN launched a new Working Group on Capacity Development. More info here: https://www.godan.info/news/leveraging-power-webinars-support-open-data-capacity-development ", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Mathematics", "keywords": [ "Agriculture data", "Capacity building", "Data policy", "Food security data", "Nutrition data", "Open data" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Global Open Data for Agriculture and Nutrition (GODAN)", "version": "", "created": "2018-04-28T12:56:20", "published": "", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data policymaker", "Research scientist", "Research faculty", "Data supporter", "Data professional", "Librarian" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "", "media_type": "Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "451c2e1b-1919-3d47-8d96-7a65111f1e4b", "contributors": [], "contributor_orgs": [ { "name": "Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.310388, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] } ] }