As rapidly changing technology enables researchers to collect large, complex datasets with relative ease, the need to effectively manage these data increases in kind. This is the first lesson in a series of education modules intended to provide a broad overview of various topics related to research data management. This 30-40 minute module covers trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle and includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.
\r\n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data collection", "Data lifecycle", "Data management", "Data preservation" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2017) \"Introduction to Data Management\". Accessed at https://dataoneorg.github.io/Education/lessons/01_management/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 - 09.22.2012", "created": "2016-09-17T15:47:17", "published": "2017-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Analyze" }, { "description": "", "name": "Assure" }, { "description": "", "name": "Collect" }, { "description": "", "name": "Describe" }, { "description": "", "name": "Discover" }, { "description": "", "name": "Integrate" }, { "description": "", "name": "Plan" }, { "description": "", "name": "Preserve" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "ff0de614-3d6b-3ae1-a6d3-cf4fba65f3b1", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "DataONE Data Management Module 04: Data Entry and Manipulation", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:56:57Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://dataoneorg.github.io/Education/lessons/04_entry/index.html", "access_cost": 0, "submitter_name": "Amber E Budden", "submitter_email": "aebudden@dataone.unm.edu", "authors": [], "author_names": [], "author_org": { "name": "DataONE Community Engagement and Outreach Working Group", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Amber E. Budden", "org": "DataONE", "email": "" }, "abstract_data": "When entering data, common goals include: creating data sets that are valid, have gone through an established process to ensure quality, are organized, and reusable. This lesson outlines best practices for creating data files. It will detail options for data entry and integration, and provide examples of processes used for data cleaning, organization and manipulation and includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise, handout, and supporting data files.", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Earth Sciences", "keywords": [ "Data collection", "Data lifecycle", "Data management" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2017) \"Data Entry and Manipulation\". Accessed at https://dataoneorg.github.io/Education/lessons/04_entry/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 - 10.1.2016", "created": "2016-09-22T11:50:33", "published": "2012-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Collect" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "sophisticus", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "726a2d6f-41a1-3915-b8c2-827d1ea96341", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "DataONE Data Management Module 05: Data Quality Control and Assurance", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:56:57Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://dataoneorg.github.io/Education/lessons/05_qaqc/index.html", "access_cost": 0, "submitter_name": "Amber E Budden", "submitter_email": "aebudden@dataone.unm.edu", "authors": [], "author_names": [], "author_org": { "name": "DataONE Community Engagement and Outreach Working Group", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Amber E. Budden", "org": "DataONE", "email": "" }, "abstract_data": "Quality assurance and quality control are phrases used to describe activities that prevent errors from entering or staying in a data set. These activities ensure the quality of the data before it is collected, entered, or analyzed, as well as actively monitoring and maintaining the quality of data throughout the study. In this lesson, we define and provide examples of quality assurance, quality control, data contamination and types of errors that may be found in data sets. After completing this lesson, participants will be able to describe best practices in quality assurance and quality control and relate them to different phases of data collection and entry. This 30-40 minute lesson includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data collection", "Data lifecycle", "Data management" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2017) \"Data Quality Control and Assurance\". Accessed at https://dataoneorg.github.io/Education/lessons/05_qaqc/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 - 09.22.2012", "created": "2016-09-22T14:08:16", "published": "2012-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Assure" }, { "description": "", "name": "Collect" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "sophisticus", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "9c601c92-4c01-3b8d-9925-f116f4d9b7f2", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "DataONE Data Management Module 06: Data Protection and Backups ", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:56:57Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://dataoneorg.github.io/Education/lessons/06_protect/index.html", "access_cost": 0, "submitter_name": "Amber E Budden", "submitter_email": "aebudden@dataone.unm.edu", "authors": [], "author_names": [], "author_org": { "name": "DataONE Community Engagement and Outreach Working Group", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Amber E. Budden", "org": "DataONE", "email": "" }, "abstract_data": "There are several important elements to digital preservation, including data protection, backup and archiving. In this lesson, these concepts are introduced and best practices are highlighted with case study examples of how things can go wrong. Exploring the logistical, technical and policy implications of data preservation, participants will be able to identify their preservation needs and be ready to implement good data preservation practices by the end of the module. This 30-40 minute lesson includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data archiving", "Data lifecycle", "Data management", "Data preservation" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2017) \"Protecting Your Data: Backups, Archives & Data Preservation\". Accessed at https://dataoneorg.github.io/Education/lessons/06_protect/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 09/22/2016", "created": "2016-09-22T14:16:41", "published": "2012-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Preserve" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "vhutchison@usgs.gov", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "2f80ecef-56cf-390b-98f4-981b8eaac4a6", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "DataONE Data Management Module 07: Metadata", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:56:57Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://dataoneorg.github.io/Education/lessons/07_metadata/index.html", "access_cost": 0, "submitter_name": "Amber Budden", "submitter_email": "aebudden@dataone.unm.edu", "authors": [], "author_names": [], "author_org": { "name": "DataONE Community Engagement and Outreach Working Group", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Amber E. Budden", "org": "DataONE", "email": "" }, "abstract_data": "What is metadata? Metadata is data (or documentation) that describes and provides context for data and it is everywhere around us. Metadata allows us to understand the details of a dataset, including: where it was collected, how it was collected, what gaps in the data mean, what the units of measurement are, who collected the data, how it should be attributed etc. By creating and providing good descriptive metadata for our own data, we enable others to efficiently discover and use the data products from our research. This lesson explores the importance of metadata to data authors, users of the data and organizations, and highlights the utility of metadata. It provides an overview of the different metadata standards that exist, and the core elements that are consistent across them; guiding users in selecting a metadata standard to work with and introduces the best practices needed for writing a high quality metadata record.Data management planning is the starting point in the data life cycle. Creating a formal document that outlines what you will do with the data during and after the completion of research helps to ensure that the data is safe for current and future use. This 30-40 minute lesson describes the benefits of a data management plan (DMP), outlines the components of a DMP, details tools for creating a DMP, provides NSF DMP information, and demonstrates the use of an example DMP and includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.
\r\n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data collection", "Data management", "Data management planning", "Data preservation" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2016) \"Data Management Planning\". Accessed at https://dataoneorg.github.io/Education/lessons/03_planning/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 - 09.22.2012", "created": "2016-09-16T15:22:23", "published": "2012-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Plan" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "david.bassendine", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "bf0faa35-fa28-3e29-9377-9bbb485f45c4", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "DataONE Data Management Module 02: Data Sharing", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:56:54Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://dataoneorg.github.io/Education/lessons/02_datasharing/index.html", "access_cost": 0, "submitter_name": "Amber E Budden", "submitter_email": "aebudden@dataone.unm.edu", "authors": [], "author_names": [], "author_org": { "name": "DataONE Community Engagement and Outreach Working Group", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Amber E. Budden", "org": "DataONE", "email": "" }, "abstract_data": "When first sharing research data, researchers often raise questions about the value, benefits, and mechanisms for sharing. Many stakeholders and interested parties, such as funding agencies, communities, other researchers, or members of the public may be interested in research, results and related data. This 30-40 minute lesson addresses data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data and includes a downloadable presentation (PPT or PDF) with supporting hands-on exercise and handout.
\r\n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data lifecycle", "Data management", "Data preservation", "Data sharing" ], "license": "Creative Commons 0 - CC0 \"No Rights Reserved\" (Public Domain)", "usage_info": "", "citation": "DataONE Community Engagement & Outreach Working Group (2017) \"Data Sharing\". Accessed at https://dataoneorg.github.io/Education/lessons/02_datasharing/ on Jun 01, 2018", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "v2 - 09.22.2012", "created": "2016-09-16T15:22:23", "published": "2012-05-01T00:00:00Z", "accessibility_features": [ { "name": "Transformation - features that allow the content to be changed for ease of access, e.g., by using large print fonts." } ], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "DataONE Education Modules", "nodes": [ { "description": "", "name": "Analyze" }, { "description": "", "name": "Assure" }, { "description": "", "name": "Collect" }, { "description": "", "name": "Describe" }, { "description": "", "name": "Discover" }, { "description": "", "name": "Integrate" }, { "description": "", "name": "Plan" }, { "description": "", "name": "Preserve" } ], "type": "framework" }, { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "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": "Unit - long-range plan of instruction on a particular concept containing multiple, related lessons.", "creator": "david.bassendine", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "a483d1de-3f5f-360d-8097-8c091b1cd015", "contributors": [], "contributor_orgs": [ { "name": "DataONE", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Final product" } ], "score": 3.4819484, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] } ] }