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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": 2.6426113, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Supporting Researchers in Discovering Data Repositories", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:59:00Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.dataone.org/webinars/repo-discovery/", "access_cost": 0, "submitter_name": "Zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Amber", "familyName": "Budden", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Erin", "familyName": "McLean", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Amber Budden", "Erin McLean" ], "author_org": { "name": "", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "How do researchers go about identifying a repository to preserve their data? Do they have all the information they need to make an informed decision? Are there resources available to help?
\r\nThere is a myriad of repositories available to support data preservation and they differ across multiple axes. So which one is right for your data? The answer is large, ‘it depends’. But this can be frustrating to a new researcher looking to publish data for the first time. What questions need to be asked to detangle these dependencies and where can a researcher go for answers?
\r\nConversations and sessions at domain conferences have consistently suggested that researchers need more support in navigating the landscape of data repositories and with support from ESIP Funding Friday, we sought to do that. In this webinar, we will introduce a resource under development that aims to serve as a gateway for information about repository selection. With links to existing resources, games, and outreach materials, we aim to facilitate the discovery of data repositories and we welcome contributions to increase the value of this resource.", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data discovery and identification - Core Trustworthy Data Repositories Requirements", "Data management", "Data preservation", "Data reuse - Core Trustworthy Data Repositories Requirements", "Data storage" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "DataONE", "version": "", "created": "2021-02-22T11:35:35", "published": "2021-01-12T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Early-career research scientist", "Graduate student", "Librarian", "Publisher", "Repository manager", "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "ca9d6303-95de-3c60-a19d-66b607844873", "contributors": [], "contributor_orgs": [], "score": 2.4017358, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "File Naming Convention Worksheet", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:40Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://authors.library.caltech.edu/103626", "access_cost": 0, "submitter_name": "Kristin Briney", "submitter_email": "briney@caltech.edu", "authors": [ { "givenName": "Kristin", "familyName": "Briney", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Kristin Briney" ], "author_org": { "name": "Caltech Library", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Kristin Briney", "org": "Caltech Library", "email": "" }, "abstract_data": "This worksheet walks researchers through the process of creating a file naming convention for a group of files. This process includes: choosing metadata, encoding and ordering the metadata, adding version information, and properly formatting the file names. Two versions of the worksheet are available: a Caltech Library branded version (PDF) and a generic editable version (MS Word).", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data management", "Data management planning", "File naming", "Metadata" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Caltech Library", "version": "", "created": "2020-08-28T09:58:42", "published": "2020-06-02T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Early-career research scientist", "Graduate student", "Research faculty", "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": "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": "Text - body of a printed work, to include reading passages.", "creator": "", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "28fda514-8cfe-3515-a538-4ff980f1d0fe", "contributors": [], "contributor_orgs": [], "score": 2.4248872, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Atlas.ti Data Curation Primer", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:38Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://conservancy.umn.edu/handle/11299/210211", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Margarita", "familyName": "Corral", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Margarita Corral" ], "author_org": { "name": "", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "
Altas.ti is a software application that allows researchers to analyze qualitative data in a systematic and transparent way, increasing the validity of results (Friese 2019). ATLAS.ti handles different types of data that are kept in a project. The project files can contain text documents, images, audio recordings, videos, pdf files, geodata, Twitter data, citations from Evernote and reference managers, and survey data. The purpose of this primer is to guide a data curator through the curation process for Altas.ti files.
\r\nKey questions for curation review
\r\n-What ATLAS.ti version was used?
\r\n-Can other researchers open the project without the ATLAS.ti?
\r\n-Does the project include metadata/documentation/codebook?
\r\n-Are there consent forms/participation agreements? Is there sensitive information that can compromise human subjects’ rights?
\r\n-Are there associated data that has been exported (i.e. result reports, codebook) outside the project?
\r\n
\r\nThis work was created as part of the Data Curation Network “Specialized Data Curation” Workshop #2 held at Johns Hopkins University on April 17-18, 2019.
\r\nThe full set of Data Curation Primers can be found at:https://conservancy.umn.edu/handle/11299/202810
\r\nInteractive primers available for download and derivatives at:https://github.com/DataCurationNetwork/data-primers
\r\n", "abstract_format": "filtered_html", "subject": "", "keywords": [ "Data analysis", "Data curation", "Data visualization", "Humanities data", "Metadata standards", "Qualitative data analysis", "Software management", "Software preservation" ], "license": "", "usage_info": "", "citation": "Corral, Margarita. (2020). Atlas.ti Data Curation Primer. Data Curation Network. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/210211.", "locator_data": "http://hdl.handle.net/11299/210211", "locator_type": "Handle", "publisher": "Data Curation Network", "version": "", "created": "2020-08-12T11:32:15", "published": "2020-01-03T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [ { "name": "FAIR Data Principles", "nodes": [], "type": "framework" } ], "target_audience": [ "Citizen scientist", "Data professional", "Early-career research scientist", "Educator", "Graduate student", "Librarian", "Mid-career research scientist", "Research faculty", "Research scientist", "Software engineer" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "Up to 1 hour", "media_type": "Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.", "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "0507a7a8-ebe5-30c6-b2e0-606702e84bfc", "contributors": [ { "familyName": "Hadley", "givenName": "Hannah", "type": "Collaborator" }, { "familyName": "Fearon", "givenName": "Dave", "type": "Mentoring" } ], "contributor_orgs": [ { "name": "Institute of Museum and Library Services (IMLS)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.3752632, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "OMOP Common Data Model and Standardized Vocabularies", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:26Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://www.ohdsi.org/2019-tutorials-omop-common-data-model-and-standardized-vocabularies/", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Christian", "familyName": "Reich", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Mui", "familyName": "van\tZandt", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Erica", "familyName": "A.Voss", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Hamed", "familyName": "Abedtash", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Dmitry", "familyName": "Dymshyts", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Melanie", "familyName": "Philofsky", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Don", "familyName": "Torok", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Christian Reich", "Mui van\tZandt", "Erica A.Voss", "Hamed Abedtash", "Dmitry Dymshyts", "Melanie Philofsky", "Don Torok" ], "author_org": { "name": "The Observational Health Data Sciences and Informatics(OHDSI)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "
\r\nThis workshop is for data holders who want to apply OHDSI’s data standards to their own observational datasets and researchers who want to be aware of OHDSI’s data standards, so they can leverage data in OMOP CDM format for their own research purposes.
\r\n
\r\nTopics covered within this tutorial include:  
\r\n-Introductions and Ground Rules Foundational
\r\n • History of OMOP
\r\n• Why and How
\r\n • Birth of OHDSI
\r\n -Introduction to OMOP Common Data Model OHDSI Community
\r\n Example of Remote Study
\r\n VM Overview
\r\n-Ancestors & Descendants
\r\n- How does it work for Drugs
\r\n-SQL Examples
\r\n-History of the model
\r\n- In-depth discussion of model
\r\n-Era discussion
\r\n- Real-World Scenario
\r\n- ETL Piballs
\r\n-Leveraging OHDSI Tools
\r\n-OHDSI Community
\r\n
\r\n
\r\nAfter the Tutorials, you will know: 
\r\n1. History of OMOP, OHDSI
\r\n2. How Standardized Vocabulary works
\r\n3. How to find codes and Concepts
\r\n4. How to navigate the concept hierarchy
\r\n5. The OMOP Common Data Model (CDM)
\r\n6. How to use the OMOP CDM 
\r\n
\r\n
\r\nIncluded with the video presentation of the tutorial include:
\r\nTutorial slides
\r\n ", "abstract_format": "filtered_html", "subject": "Medicine and Health Sciences", "keywords": [ "Clinical research data", "Community standards", "Data analysis", "Data modeling", "Data skills education", "Programming", "Structured Query Language (SQL)" ], "license": "Standard YouTube License", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "The Observational Health Data Sciences and Informatics(OHDSI)", "version": "", "created": "2020-03-18T17:33:55", "published": "2019-09-15T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data manager", "Early-career research scientist", "Graduate student", "Research faculty", "Research scientist", "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": "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": "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": "572330f7-e55d-363a-9f54-7414af0e7d93", "contributors": [], "contributor_orgs": [ { "name": "BAYER", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "Janssen", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "Google Cloud", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" }, { "name": "IMS Health and Quintiles are now IQVIA", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 2.0767374, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Workshop On Data Management Plans For Linguistic Research", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:12Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "http://d-scholarship.pitt.edu/33697/", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zohrehmhrb@gmail.com", "authors": [ { "givenName": "Andrea", "familyName": "Berez-Kroeker", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Lauren", "familyName": "Collister", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Susan", "familyName": "Smythe Kung", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Andrea Berez-Kroeker", "Lauren Collister", "Susan Smythe Kung" ], "author_org": { "name": "", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "
The rising tide of data management and sharing requirements from funding agencies, publishers, and institutions has created a new set of pressures for researchers who are already stretched for time and funds. While it can feel like yet another set of painful hurdles, in reality, the process of creating a Data Management Plan (DMP) can be a surprisingly useful exercise, especially when done early in a project’s lifecycle. Good data management practiced throughout one’s career, can save time, money, and frustration, while ultimately helping increase the impacts of research.
\r\nThis 1-day workshop will involve lecture and discussion around concepts of data management throughout the data lifecycle (from data creation, storage, and analysis to data sharing, archiving, and reusing), as well as related issues such as intellectual property, copyright, open access, data citation, attribution, and metrics. Participants will learn about data management best practices and useful tools while engaging in activities designed to produce a DMP similar to those desired by the NSF Behavioral and Cognitive Sciences Division (for example, Linguistics, Documenting Endangered Languages), as well as other federal agencies such as NEH.
\r\n", "abstract_format": "filtered_html", "subject": "Social and Behavioral Sciences: Linguistics", "keywords": [ "Data archiving", "Data backup", "Data citation", "Data collection", "Data documentation", "Data ethics", "Data management", "Data management planning", "Data preservation", "Data reuse - Core Trustworthy Data Repositories Requirements", "Data sharing", "Data storage", "Open access" ], "license": "Creative Commons Attribution 4.0 International - CC BY 4.0", "usage_info": "", "citation": "Berez-Kroeker, Andrea and Collister, LB and Kung, Susan Smythe Workshop on Data Management Plans for Linguistic Research. In: Linguistic Society of America Annual Meeting, 04 January 2018 - 04 January 2018, Salt Lake City, Utah. ", "locator_data": "", "locator_type": "", "publisher": "University of Pittsburgh", "version": "2019 edition", "created": "2019-12-06T12:19:27", "published": "2018-01-10T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data manager", "Early-career research scientist", "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 hour (but less than 1 day)", "media_type": "Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.", "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "7f3f8b7f-6233-35d3-aff2-7173fe1da6de", "contributors": [], "contributor_orgs": [ { "name": "Linguistic Society of America", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Organizer" } ], "score": 2.1041186, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "OSTI Lecture 3: Data, Code and Content Licensing", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:10Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://av.tib.eu/media/14932", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zohrehmhrb@gmail.com", "authors": [], "author_names": [], "author_org": { "name": "Open Science Training Initiative (OSTI)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "The following video is an original recording from the OSTI pilot initiative. Part 3 of the Graduate Training in Open Science series entitled "Data, Code and Content Licensing", the seminar introduces the theme of licensing, outlines the advantages of this approach, and takes students through the main steps of implementation.
\r\n
\r\nThe Open Science Training Initiative provides a series of lectures in open science, data management, licensing and reproducibility, for use with graduate students and postdoctoral researchers. The lectures can be used individually as one-off information lectures in aspects of open science or can be integrated into existing course provision at your institution as a lecture series, forming part of a hands-on exercise in producing a coherent research story.
\r\nThe raw materials have already been released online in the GitHub repository. ", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Computer Sciences", "keywords": [ "Data coding", "Data reuse - Core Trustworthy Data Repositories Requirements", "Data sharing", "Licenses - Core Trustworthy Data Repositories Requirements", "Software management", "Software sharing" ], "license": "Creative Commons Attribution 3.0 Unported - CC BY 3.0", "usage_info": "", "citation": "Open Science Training Initiative (OSTI): 3. Data, Code & Content Licensing, episode 3, Graduate Training in Open Science. Kay, Alastair et al. 2013. https://doi.org/10.5446/14932", "locator_data": "10.5446/14932", "locator_type": "DOI", "publisher": "Open Science Training Initiative (OSTI)", "version": "", "created": "2019-11-15T13:35:57", "published": "2013-01-01T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Early-career research scientist", "Graduate student", "Research scientist", "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "c40ee3ae-f65a-39a5-b4d8-6e7d604dd5a6", "contributors": [ { "familyName": "Kershaw", "givenName": "Sophie", "type": "Presenter" }, { "familyName": "Kay", "givenName": "Alastair", "type": "Final product" }, { "familyName": "Kershaw", "givenName": "Sophie", "type": "Final product" } ], "contributor_orgs": [], "score": 2.1822011, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "OSTI Lecture 4: Data Management Planning", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:10Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://av.tib.eu/media/14930", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zohrehmhrb@gmail.com", "authors": [], "author_names": [], "author_org": { "name": "Open Science Training Initiative (OSTI)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "What is a Data Management Plan? Why do we need them and how do they relate to our day-to-day research work? This short lecture, Part 4 of the Graduate Training in Open Science series, introduces the concept of the DMP, set within the context of the scope and scale of data produced in modern scientific research, and breaks the how-to process down into short-, medium- and long-term project management stages. Please note that, as a result of student feedback and the analysis undertaken for the Post-Pilot Report, this lecture will be offered as a mini-workshop in the release of the official material.
\r\n
\r\nThe Open Science Training Initiative provides a series of lectures in open science, data management, licensing and reproducibility, for use with graduate students and postdoctoral researchers. The lectures can be used individually as one-off information lectures in aspects of open science or can be integrated into existing course provision at your institution as a lecture series, forming part of a hands-on exercise in producing a coherent research story.
\r\nThe raw materials have already been released online in the GitHub repository. ", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Computer Sciences", "keywords": [ "Data lifecycle", "Data management", "Data management planning", "Data research", "Data sharing", "Research project management tools" ], "license": "Creative Commons Attribution 3.0 Unported - CC BY 3.0", "usage_info": "", "citation": "Open Science Training Initiative (OSTI): 4. Data Management Planning, episode 4, Graduate Training in Open Science. Kay, Alastair et al. 2013. https://doi.org/10.5446/14930", "locator_data": "10.5446/14930", "locator_type": "DOI", "publisher": "Open Science Training Initiative (OSTI)", "version": "", "created": "2019-11-15T14:09:47", "published": "2013-01-01T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Data manager", "Early-career research scientist", "Graduate student", "Research scientist", "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "004f6ca9-e393-3bf2-acf5-76e55c43a03b", "contributors": [ { "familyName": "Kershaw", "givenName": "Sophie", "type": "Presenter" }, { "familyName": "Kay", "givenName": "Alastair", "type": "Final product" }, { "familyName": "Kershaw", "givenName": "Sophie", "type": "Final product" } ], "contributor_orgs": [], "score": 2.0767374, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "OSTI Lecture 5: The Changing Face of Publication", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:10Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://av.tib.eu/media/14929", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zohrehmhrb@gmail.com", "authors": [], "author_names": [], "author_org": { "name": "Open Science Training Initiative (OSTI)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "The following video is an original recording from the OSTI pilot initiative. Part 5 of the Graduate Training in Open Science series entitled "The Changing Face of Publication", the seminar introduces students to the concept of Open Access publishing and contrasts this approach with traditional publishing models. This lecture proved one of the most popular in the course, based on student feedback at the end of the pilot initiative.
\r\nThe Open Science Training Initiative provides a series of lectures in open science, data management, licensing and reproducibility, for use with graduate students and postdoctoral researchers. The lectures can be used individually as one-off information lectures in aspects of open science or can be integrated into existing course provision at your institution as a lecture series, forming part of a hands-on exercise in producing a coherent research story.
\r\nThe raw materials have already been released online in the GitHub repository. 
\r\n
\r\n ", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Computer Sciences", "keywords": [ "Data access", "Data publication", "Digital scholarship", "Open access", "Scholarly publishing" ], "license": "Creative Commons Attribution 3.0 Unported - CC BY 3.0", "usage_info": "", "citation": "Open Science Training Initiative (OSTI): 5. The Changing Face of Publication, episode 5, Graduate Training in Open Science. Kay, Alastair et al. 2013. https://doi.org/10.5446/14929", "locator_data": "10.5446/14929", "locator_type": "DOI", "publisher": "Open Science Training Initiative (OSTI)", "version": "", "created": "2019-11-15T15:02:10", "published": "2013-01-01T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "en", "languages_secondary": [], "ed_frameworks": [], "target_audience": [ "Early-career research scientist", "Graduate student", "Publisher", "Research scientist", "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": "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": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "0d8c1f8a-837d-3dae-9e23-c2061a420813", "contributors": [ { "familyName": "Kershaw", "givenName": "Sophie", "type": "Presenter" }, { "familyName": "Kay", "givenName": "Alastair", "type": "Final product" }, { "familyName": "Kershaw", "givenName": "Sophie", "type": "Final product" } ], "contributor_orgs": [], "score": 2.1335757, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] } ] }