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Satellite data provide a bird\u0092s eye, yet incredibly detailed view of the Earth\u0092s surface in real-time, while drones and mobile apps enable local communities and indigenous peoples to map their knowledge of local ecosystems.\u00a0To support policymakers to develop data-driven sustainable development solutions, UNDP, the United Nations Environment Programme (UNEP), and the Secretariat of the Convention on Biological Diversity (CBD) \u00a0launched\u00a0UN Biodiversity Lab, with funding from the GEF and support from MapX, UNEP World Conservation Monitoring Centre, Global Resource Information Database - Geneva, and NASA. The UN Biodiversity Lab is an online platform that allows policymakers and other stakeholders to access global data layers, upload national datasets, and analyze these datasets in combination to provide key information on the CBD\u0092s Aichi\u00a0Biodiversity Targets and on the nature-based Sustainable Development Goals. Already in use by over 50 countries, as well as utilized as the key decision support system for two NASA-funded applied science projects, the UN Biodiversity Lab has high potential to be scaled up to reach new ministries and countries and stakeholder groups.
\n
\nThere is a global demand for more NASA ARSET training focused on biodiversity, conservation, the UN Sustainable Development Goals (SDGs),\u00a0and how to link NASA satellite data to ecological and human-influenced systems. This training aims to fill that gap by extending the influence of this NASA-supported tool and increasing its dissemination, use, and overall success. UN Biodiversity Lab makes global datasets on biodiversity and sustainable development easily accessible, supporting our broad audience.
\n
\nLearning Objectives:\u00a0By the end of this training, attendees will: \n \nCourse Format:\u00a0 \n \n \nPrerequisites:
\n\u00a0Attendees that do not complete the required prerequisites may not be adequately prepared for the pace of the training. \n \nPart One: Introduction to Spatial Data and Policies for Biodiversity (
\nPart Two: UN Biodiversity Lab: Introduction and Training\u00a0
\nPart Three: How are Countries Using Spatial Data to Support Conservation of Nature?\u00a0
\n
\nEach part of 3 includes links to the recordings, presentation slides, and Question & Answer Transcripts.
\n\u00a0", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Aichi Biodiversity Targets (ABTs)", "Biodiversity data", "Capacity building", "Conservation", "Data access", "Environmental management", "Land management", "Remote sensing", "Satellite imagery", "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": "2020-09-17T12:17:11", "published": "2020-03-24T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "fr", "es" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "7190acff-3386-351e-8185-5e100c038bc9", "contributors": [ { "familyName": "McCullum", "givenName": "Amber", "type": "Co-presenter" } ], "contributor_orgs": [ { "name": "UN Development Programme (UNDP)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "United Nations Environment Programme (UNEP)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Global Environment Facility (GEF)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "Convention on Biological Diversity (CBD)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" } ], "score": 1.9750836, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Utilizando el UN Biodiversity Lab para Apoyar los Objetivos Nacionales de Conservaci\u00f3n y Desarrollo Sostenible [Introductoria]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:45Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [], "author_names": [], "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": "
A inicios de la cuarta revoluci\u00f3n industrial, la tecnolog\u00eda est\u00e1 revolucionando nuestra capacidad de mapear la naturaleza. Los datos satelitales proporcionan una vista panor\u00e1mica pero a la vez incre\u00edblemente detallada de la superficie de la Tierra en tiempo real mientras que los drones y las aplicaciones m\u00f3viles permiten que las comunidades locales y los pueblos ind\u00edgenas mapeen su conocimiento de ecosistemas locales.\u00a0Para poder ayudar a los formuladores de pol\u00edticas a desarrollar soluciones para el desarrollo sostenible basadas en datos y pol\u00edticas enfocadas, el UNDP, el Programa de las Naciones Unidas para el Medio Ambiente (UNEP por sus siglas en ingl\u00e9s) y la Secretar\u00eda del Convenio sobre la Diversidad Biol\u00f3gica (CDB) lanzaron el UN Biodiversity Lab con financiaci\u00f3n del GEF y apoyo de MapX, el Centro de Monitoreo de la Conservaci\u00f3n Mundial del UNEP,\u00a0la Base de Datos Mundial sobre Recursos de Informaci\u00f3n \u0096 Ginebra y la NASA.\u00a0El UN Biodiversity Lab\u00a0es una plataforma en l\u00ednea que permite a los formuladores de pol\u00edticas y otras partes interesadas acceder a capas de datos a nivel mundial, cargar conjuntos de datos nacionales y analizar estos conjuntos de datos en combinaci\u00f3n para brindar informaci\u00f3n clave sobre los Objetivos Aichi para la Biodiversidad del CDB y sobre los Objetivos de Desarrollo Sostenible relacionados con la naturaleza. Ya lo est\u00e1n utilizando en m\u00e1s de 50 pa\u00edses, incluso como el principal sistema de apoyo a la toma de decisiones para dos proyectos de ciencias aplicadas financiados por la NASA. El UN Biodiversity Lab tiene un alto potencial de ser escalado para llegar a nuevos ministerios y pa\u00edses y grupos de partes interesadas.\u00a0
\n \n
Existe una demanda a nivel mundial de m\u00e1s capacitaciones NASA ARSET enfocadas en la biodiversidad, conservaci\u00f3n, los Objetivos de Desarrollo Sostenible (ODS) de la ONU y sobre c\u00f3mo conectar datos de sat\u00e9lites de la NASA con sistemas ecol\u00f3gicos y aquellos que han sido influidos por la actividad humana. Esta capacitaci\u00f3n pretende llenar este vac\u00edo extendiendo la influencia de esta herramienta apoyada por la NASA y fomentando su diseminaci\u00f3n, utilizaci\u00f3n y \u00e9xito general. El \u00a0UN Biodiversity Lab hace conjuntos de datos mundiales sobre la biodiversidad y el desarrollo sostenible f\u00e1cilmente accesibles, apoyando a nuestro p\u00fablico variado.
\n
\nObjetivos de Aprendizaje:\u00a0Para la conclusi\u00f3n de esta capacitaci\u00f3n, los/las participantes podr\u00e1n: \n \n \nFormato del Curso: \n \n \nPrerrequisitos:\u00a0
\nLos participantes que no completen los prerrequisitos podr\u00edan no estar lo suficientemente preparados para el ritmo de la capacitaci\u00f3n.
\n
\nFundamentos de la Percepci\u00f3n Remota (Teledetecci\u00f3n)\u00a0Diapositivas de la Presentaci\u00f3n \u00bb
\n
\nPrimera Parte: Introducci\u00f3n a Datos Espaciales y Pol\u00edticas para la Diversidad Biol\u00f3gica
\nSegunda Parte: El UN Biodiversity Lab\u00a0
\nTercera Parte: Casos de Uso por Pa\u00edses\u00a0
\n\u00a0", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Aichi Biodiversity Targets (ABTs)", "Capacity building", "Conservation", "Data access", "Environmental management", "Land management", "Remote sensing", "Satellite imagery", "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": "2020-09-17T12:43:43", "published": "2020-03-24T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en", "fr" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "2b758b17-e587-3e73-a4fa-a4c18156f446", "contributors": [ { "familyName": "McCullum", "givenName": "Amber", "type": "Co-presenter" } ], "contributor_orgs": [ { "name": "Programa de la ONU para el Desarrollo", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Programa de las Naciones Unidas para el Medio Ambiente", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "convenio sobre la diversidad biol\u00f3gica", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Fondo para el Medio Ambiente Mundial", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 1.9750836, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Web Tutorials - Using the GLOBE Website", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:10Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.globe.gov/get-trained/using-the-globe-website", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zohrehmhrb@gmail.com", "authors": [], "author_names": [], "author_org": { "name": "The GLOBE Program", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "The Global Learning and Observations to Benefit the Environment (GLOBE) Program is an international science and education program that provides students and the public worldwide with the opportunity to participate in data collection and the scientific process and contribute meaningfully to our understanding of the Earth system and global environment.
\r\nThe tutorials on this page are here to help you understand and work with the various parts of the GLOBE website. Each area is listed on the left, click on an item to see a video and/or to download step-by-step guides.
\r\nTutorials cover the main areas of the site, including:
\r\n-GLOBE Data User Guide, to help scientists and researchers understand, access, and use available GLOBE data.
\r\n-GLOBE Data Fundamentals, a webinar that allows one to understand how to access GLOBE data and includes a demonstration of the various tools.
\r\n-The main GLOBE website, which allows you to engage in The GLOBE Program, as well as to collaborate and access training and educational resources.
\r\n-The Data Entry System, which allows you to enter scientific data that school organizations have collected.
\r\n-The Visualization and Data Retrieval System, which provides tools for interacting with and retrieving scientific data that has been entered by trained community members that belong to school organizations.", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Earth Sciences", "keywords": [ "Climate data", "Data access", "Data access methods", "Data collection", "Data sharing", "Data visualization", "Data visualization tools", "Environmental change records", "Ocean data", "Scientific record archives" ], "license": "", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "The GLOBE Program", "version": "", "created": "2019-11-25T12:42:42", "published": "", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "nl", "fr", "es" ], "ed_frameworks": [], "target_audience": [ "Data manager", "Early-career research scientist", "Educator", "Graduate student", "Librarian", "Mid-career research scientist", "Repository manager", "Research faculty", "Research scientist", "Undergraduate student" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 Day (but less 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": "Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "11859a80-8f95-38f7-a85d-38e670e41715", "contributors": [], "contributor_orgs": [ { "name": "NASA", "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": "Resources" }, { "name": "National Oceanic and Atmospheric Administration (NOAA)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Resources" }, { "name": "U.S. Department of State", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Resources" } ], "score": 1.8400816, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "'Good Enough' Research Data Management: A Brief Guide for Busy People", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:47Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://alliancecan.ca/en/services/research-data-management", "access_cost": 0, "submitter_name": "Sarah Wilkinson", "submitter_email": "sarah.wilkinson@carl-abrc.ca", "authors": [ { "givenName": "Eugene", "familyName": "Barsky", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Eugene Barsky" ], "author_org": { "name": "University of British Columbia", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "This brief guide presents a set of good data management practices that researchers can adopt, regardless of their data management skills and levels of expertise.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data management" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Portage Network", "version": "", "created": "2018-12-03T11:29:59", "published": "", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "fr" ], "ed_frameworks": [], "target_audience": [ "Research faculty", "Graduate student", "Undergraduate student" ], "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": "", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "0268641f-e5f2-3e3e-b16f-54bcdbb8a038", "contributors": [], "contributor_orgs": [ { "name": "Portage Training Expert Group", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" } ], "score": 2.2064948, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Getting Started With Lab Folder", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:46Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.labfolder.com/guide/getting-started/", "access_cost": 0, "submitter_name": "Jacob Wikle", "submitter_email": "jwikle@unm.edu", "authors": [], "author_names": [], "author_org": { "name": "Lab Folder", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "Lab Folder", "email": "" }, "abstract_data": "Labfolder is an electronic lab notebook that enables researchers to record findings and make new discoveries. By reinventing the traditional paper lab notebook, our productivity & collaboration platform makes it easier to create, find, share, discuss & validate research data as a team.  This Getting Started guide will help you learn what Labfolder is and how to use it for data entry, protocols and standard operating procedures, data retrieval, collaboration, inventory and data security tasks.  
\r\n
\r\nLabfolder is free for a team of up to 3 scientists in academia;  other pricing is available for larger teams in academia, for business and industry, and for classroom use.  
\r\n
\r\n ", "abstract_format": "filtered_html", "subject": "Engineering: Chemical Engineering", "keywords": [ "Data archiving", "Data backup", "Data management", "Electronic lab notebook (ELN)" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Lab Folder", "version": "", "created": "2018-11-19T09:03:33", "published": "", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "fr", "de" ], "ed_frameworks": [], "target_audience": [ "Data manager", "Data professional", "Early-career research scientist", "Graduate student", "Mid-career research scientist", "Research faculty", "Research scientist", "Undergraduate student" ], "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": "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": "jwikle", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "d08279ce-b9b6-308e-a667-ced8c9b5e3b4", "contributors": [], "contributor_orgs": [], "score": 1.9750836, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Dendro Open-Source Dropbox", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:46Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "http://aims.fao.org/news/dendro-collaborative-research-data-management-platform-semantic-wiki-built-triple", "access_cost": 0, "submitter_name": "Jacob Wikle", "submitter_email": "jwikle@unm.edu", "authors": [], "author_names": [], "author_org": { "name": "University of Porto Infolab", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "University of Porto Infolab", "email": "" }, "abstract_data": "Dendro is a collaborative file storage and description platform designed to support users in collecting and describing data, with its roots in research data management. It does not intend to replace existing research data repositories, because it is placed before the moment of deposit in a data repository.\u00a0\u00a0The\u00a0DENDRO platform\u00a0is an open-source platform designed to help researchers describe their datasets, fully build on Linked Open Data. Whenever researchers want to publish a dataset, they can export to repositories such as\u00a0CKAN,\u00a0DSpace,\u00a0Invenio,\u00a0or\u00a0EUDAT's B2SHARE.\u00a0
\n
\nIt is designed to support the work of research groups with collaborative features such as:
\n
\nFile metadata versioning
\nPermissions management
\nEditing and rollback
\nPublic/Private/Metadata Only project visibility
\n
\nYou start by creating a \u0093Project\u0094, which is like a Dropbox shared folder. Projects can be private (completely invisible to non-colaborators), metadata-only (only metadata is visible but data is not), and public (everyone can read both data and metadata). Project members can then upload files and folders and describe those resources using domain-specific and generic metadata, so it can suit a broad spectrum of data description needs. The contents of some files that contain data (Excel, CSV, for example) is automatically extracted, as well as text from others (PDF, Word, TXT, etc) to assist discovery.
\n
\nDendro provides a flexible data description framework built on Linked Open Data at the core (triple store as), scalable file storage for handling big files, BagIt-represented backups, authentication with\u00a0ORCID\u00a0and sharing to practically any repository platform.
\n
\nFurther information about Dendro can be found on its Github repository at:\u00a0\u00a0https://github.com/feup-infolab/dendro.\u00a0 Documentation and descriptions of Dendro can be found in other languages from the primary URL home page.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data management", "Data sharing", "Data storage", "Linked data" ], "license": "BSD-3-Clause", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "University of Porto Infolab", "version": "", "created": "2018-11-19T11:10:06", "published": "2013-01-01T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "ar", "fr", "es" ], "ed_frameworks": [], "target_audience": [ "Data manager", "Early-career research scientist", "Graduate student", "Mid-career research scientist", "Research faculty", "Research scientist", "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": "Primary Source - artifact, document, recording, or other source of information created at the time under study and provides first-hand testimony or direct evidence concerning a topic under investigation.", "creator": "jwikle", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "43bbe53a-bfb5-3193-8410-50f5c09e911a", "contributors": [], "contributor_orgs": [], "score": 1.8400816, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "LEARN - Research Data Management Toolkit", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:44Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "http://learn-rdm.eu/en/research-data-management-toolkit-now-available/", "access_cost": 0, "submitter_name": "Jacob Wikle", "submitter_email": "jwikle@unm.edu", "authors": [ { "givenName": "David", "familyName": "Carr", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Paolo", "familyName": "Budroni", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Barbara", "familyName": "S\u00e1nchez Sol\u00eds", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Myriam", "familyName": "Fellous-Sigrist", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Gabriela", "familyName": "Andaur", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Wouter", "familyName": "Schallier", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Marsha", "familyName": "Winter", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Shamin", "familyName": "Renwick", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Alastair", "familyName": "Dunning", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "James", "familyName": "Bulley", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Andrew", "familyName": "Gray", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Geoffrey", "familyName": "Boulton", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Davor", "familyName": "Orlic", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Nicol\u00e1s", "familyName": "Fuertes", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Mar\u00eda", "familyName": "Alejandra Galeano", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "James", "familyName": "A J Wilson", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Alexandre", "familyName": "Faria De Oliveria", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Miguel", "familyName": "\u00c1ngel M\u00e1rdero Arellano", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Robin", "familyName": "Rice", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "David", "familyName": "Fergusson", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "June", "familyName": "Hedges", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Myriam", "familyName": "Fellous-Sigrist", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Yuri", "familyName": "Demchenko", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Fernando-Ariel", "familyName": "L\u00f3pez", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Ignasi", "familyName": "Labastida", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Paul", "familyName": "Ayris", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "David Carr", "Paolo Budroni", "Barbara S\u00e1nchez Sol\u00eds", "Myriam Fellous-Sigrist", "Gabriela Andaur", "Wouter Schallier", "Marsha Winter", "Shamin Renwick", "Alastair Dunning", "James Bulley", "Andrew Gray", "Geoffrey Boulton", "Davor Orlic", "Nicol\u00e1s Fuertes", "Mar\u00eda Alejandra Galeano", "James A J Wilson", "Alexandre Faria De Oliveria", "Miguel \u00c1ngel M\u00e1rdero Arellano", "Robin Rice", "David Fergusson", "June Hedges", "Myriam Fellous-Sigrist", "Yuri Demchenko", "Fernando-Ariel L\u00f3pez", "Ignasi Labastida", "Paul Ayris" ], "author_org": { "name": "LEARN Project (Leaders Activating Research Networks)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "David Carr", "org": "LEARN Project (Leaders Activating Research Networks)", "email": "" }, "abstract_data": "For research performing organisations, this deluge of data presents many challenges in areas such as policy and skills development, training, costs and governance. To help address these issues, LEARN published  its Toolkit of Best Practice for Research Data Management.
\r\n
\r\nThe Toolkit expands on the issues outlined in the LERU Roadmap for Research Data (2013). 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DMP Assistant is powered by an open source application called DMPOnline, which is developed by the Digital Curation Centre (DCC).  Site registration is required.  Data management planning templates are available for the DMP Assistant after registration and sign in.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data management planning", "Data management planning tools" ], "license": "GNU Affero General Public License (AGPL)", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Portage Network", "version": "", "created": "2018-04-14T16:01:21", "published": "", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [ "fr" ], "ed_frameworks": [ { "name": "ICSU - World Data System Training Resources Guide", "nodes": [] } ], "target_audience": [ "Research scientist", "Mid-career research scientist", "Early-career research scientist", "Research faculty", "Graduate student", "Librarian" ], "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": "Software - programs used to direct the operation of a computer and related devices.", "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. 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