Data Management for Mountain Observatories Workshop
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This document provides tips and recommendations for data stewardship. It encourages enabling data sharing, exploring new tools, and working with libraries and researchers to help change systems. It emphasizes that data is more important than ever due to digital data and complex workflows. Proper data management helps ensure reproducibility, credibility, collaboration and faster progress. Researchers must have data management plans and make their data open and useful to others. They should include data in their credentials and publications to get proper recognition. The document recommends tools and resources for planning, documenting, and getting credit for data work.
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The document outlines the essential practices of research data management (RDM), emphasizing its importance in ensuring data accessibility and integrity throughout the research lifecycle. It discusses the necessity of data sharing to enhance scientific collaboration and citations, as well as the creation of a data management plan (DMP) to outline data handling processes. Additionally, it provides guidelines on data storage, documentation, licensing, and ethical considerations, aimed at optimizing research data usage and compliance with funding requirements.DataUp: Data Curation for Excel
DataUp: Data Curation for Excel Carly Strasser
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The document discusses the need for improved data stewardship practices among scientists, highlighting their lack of training in data management and sharing. It proposes the development of a software add-in for Excel to assist researchers in organizing, sharing, and archiving data, particularly in environmental sciences. The proposed tool aims to enhance data documentation and metadata generation, while facilitating easier deposit of data into repositories.Research Data Management
Research Data ManagementSarah Jones
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This document provides guidance on research data management and developing data management plans. It discusses why managing research data is important, including making research easier to conduct, avoiding accusations of fraud or bad science, and getting credit for data produced. The document outlines what is involved in research data management and considerations for sharing and preserving data, such as file formats, documentation, and standards. It emphasizes the importance of data management planning and provides tips on developing plans to meet funder requirements.Ad
More from Carly Strasser (9)
Libraries & Research Data Management for CO Alliance of Resrch Libraries
Libraries & Research Data Management for CO Alliance of Resrch LibrariesCarly Strasser
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The document discusses the importance of research data management and the vital role libraries play in this process. It emphasizes the need for better data sharing practices, including the creation of data management plans and enhanced public access to research data. The text also highlights opportunities for libraries to educate and support researchers in data stewardship and management.Open Science for Australian Institute of Marine Science Workshop
Open Science for Australian Institute of Marine Science WorkshopCarly Strasser
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The document emphasizes the importance of open science, data sharing, and reproducibility in research to promote scientific integrity and progress. It discusses the need for researchers to work with libraries and publishers to change the culture of research and advocates for making data freely accessible. Additionally, it highlights various forms of open access, such as open access journals and repositories, and the benefits of open source software in collaborative research efforts.DMPTool for UMass eScience Symposium
DMPTool for UMass eScience SymposiumCarly Strasser
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The document presented by Carly Strasser discusses the current status and future directions of data management plans (DMPs), emphasizing their importance in research data management and compliance with funding mandates. It outlines DMP requirements, tools (such as dmptool.org), and features that facilitate the creation, editing, and sharing of DMPs to meet institutional and funder needs. Additionally, it highlights improvements in user interface, administrator features, and community engagement within the DMPTool project.DMPTool 2.0 for #IDCC14
DMPTool 2.0 for #IDCC14Carly Strasser
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The document discusses the development of DMPTool, a free online resource designed to assist researchers in creating and managing data management plans (DMPs) to comply with funder requirements. It highlights features such as a step-by-step wizard, institutional customization, and sharing capabilities, along with updates and community responses. The document also outlines the goals for the tool's second version, including enhanced analytics, partnerships, and broader language support.Data Publication at CDL for IDCC14
Data Publication at CDL for IDCC14Carly Strasser
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This document discusses data publication and sharing. It defines key aspects of data publication as making data available, citable, and trustworthy. It provides examples of how data can be published, including as supplemental materials, in data papers, or as standalone datasets with rich metadata. The document also summarizes a survey of researchers' views on data publication, sharing, and citation. It promotes solving simple problems first, like enabling easy sharing and citable datasets, to advance data publishing and open science.Data Publication for UC Davis Publish or Perish
Data Publication for UC Davis Publish or PerishCarly Strasser
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The document discusses the potential of laser ablation inductively coupled plasma mass spectrometry (ICP-MS) for studying larval shell compositions of softshell clams, focusing on challenges in isolating chemical signatures that are important for connectivity studies in marine populations. It highlights the broader context of data publication in scholarly communication, emphasizing the need for data to be available, citable, and trustworthy. Additionally, it presents various models for data publication, including traditional articles, data papers, and standalone data submissions.DMPTool for IMLS #WebWise14
DMPTool for IMLS #WebWise14Carly Strasser
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The document discusses the importance of Data Management Plans (DMPs) in research, highlighting their role in data organization, sharing, and compliance with funding agency requirements. It outlines key components of a DMP, including data types, metadata standards, access policies, preservation plans, and budget considerations. Additionally, it mentions tools like DMPTool that assist researchers in developing effective DMPs and emphasizes continuous improvement in data stewardship practices.Bren - UCSB - Spooky spreadsheets
Bren - UCSB - Spooky spreadsheetsCarly Strasser
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The document discusses the importance of effective data management practices for scientists, highlighting common issues such as poor organization and lack of metadata. It outlines best practices, including planning data collection, using descriptive file names, creating metadata, and considering relational databases for complex datasets. Additionally, it emphasizes the need to document workflows to enhance reproducibility, transparency, and data sharing.Cal Poly - An Overview of Open Science
Cal Poly - An Overview of Open ScienceCarly Strasser
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The document discusses the importance of open science and the obligation of scientists to ensure reproducibility and trustworthiness in their work. It outlines the benefits of open access to scientific data and publications, as well as the challenges faced in implementing open data policies. Additionally, it highlights the need for a cultural shift towards data stewardship and the public availability of research outputs.Ad
Data Management for Mountain Observatories Workshop
- 1. Data Stewardship California Digital Library carlystrasser@gmail.com Mountain Observatories July 2014 Tips, Tools, & Why You Should Care Carly Strasser | @carlystrasser
- 2. FromFlickrvialibrarianinsta.tumblr.com I am not a librarian.
- 3. C.Strasser but I do work at a library.
- 4. Enable data sharing Encourage new incentives Think about code sharing Work with libraries, publishers and researchers Explore new tools to help change system Build tools
- 5. Why are you here? Because data is more important than ever.
- 7. Digital data + Complex 敬看姻一鍖o敬壊
- 8. From Flickr by ~Minnea~ Reproducibility Data management Documentation
- 9. From Flickr by johntrainor Who cares?
- 14. More credibility. Better reproducibility. Increased collaboration & reuse.
- 16. Faster progress. More credibility. Better reproducibility. Increased collaboration & reuse.
- 18. Faster progress. More credibility. Better reproducibility. Future scientists can use the data. Increased collaboration & reuse.
- 19. From Flickr by Redden-McAllister From Flickr by Ken Cowell From Flickr Brandi Jordan
- 20. Faster progress. More credibility. Better reproducibility. Future scientists can use the data. Increased collaboration & reuse. You have to.
- 21. Funders From Flickr by Eva Rinaldi Celebrity and Live Music Photographer
- 22. Federal agencies investing in research and development (more than $100 million in annual expenditures) must have clear and coordinated policies for increasing public access to research products. Feb 2013
- 23. Funders Journals From Flickr by Eva Rinaldi Celebrity and Live Music Photographer
- 26. A document that describes what you will do with your data throughout the research project From Flickr by Barbies Land What is a data management plan?
- 27. Basic DMPs From Flickr by Artful Magpie 1. Types of data 2. Data & metadata standards 3. Policies 4. Plans for preservation 5. Budget
- 28. When do you plan? Yes.
- 32. Open Science: Making data research dissemination available to all From Flickr by Julia Manzerova
- 33. make 油data 油as 油useful 油as 油possible 油 From Flickr by Hallvard E Make your data as useful as possible
- 34. I want to be co-author Let me know what you will do with it 鍖rst custom data use agreements is best are bad Standard, machine-readable licenses/waivers is okay
- 35. data management FromFlickrbyBigSwedeGuy Best Practices Plan Be open Recognize
- 36. Include data in your CV.
- 37. Include data in your CV. Publish your data.
- 38. Include data in your CV. Publish your data. Cite data. Example: Sidlauskas, B. 2007. Data from: Testing for unequal rates of morphological diversi鍖cation in the absence of a detailed phylogeny: a case study from characiform 鍖shes. Dryad Digital Repository. doi:10.5061/dryad.20
- 40. databib.org Where should I put my data? Find a repository
- 41. Step-by-step wizard for generating DMP create | edit | re-use | share Free & open to community Use the dmptool.org
- 43. www.orcid.org Adopted by Funders | Publishers |Repositories | Tools Claim your work
- 45. Altmetrics Metrics for alt-products Get credit for EVERYTHING Downloads Tweets Mentions Views Data Code 際際滷s Blogs
- 46. Altmetrics Metrics for alt-products Get credit for EVERYTHING
- 48. Learn new skills software carpentry www.software-carpentry.org
- 50. From Flickr by dotpolka
- 51. From wikimedia.org by Natebailey Everett Rogers Technology Adoption Lifecycle model
- 52. From wikimedia.org by Natebailey Everett Rogers Technology Adoption Lifecycle model Research is changing. When will you adapt?