DataUp helps manage and archive digital data. Carly Strasser of the California Digital Library discussed DataUp at UC Merced in March 2013. The document includes screenshots and excerpts from a study on stable isotope data and Wash Cres Lake, authored by Stephanie Hampton in 2010. Random notes and tables are also presented.
The document provides data from stable isotope analysis of algal samples collected from Wash Cresc Lake. It includes the weight, carbon and nitrogen content, and delta C-13 and N-15 isotope ratios for each sample. The data is presented in a table with sample identifiers and metadata including the sampling site, date, and reference isotope value statistics. Additional contextual information and explanations are included in notes below the table.
Susan Borda is a digital curation librarian who provides guidance on data management. She discusses the importance of data management plans and best practices for the various stages of the research data lifecycle including planning, collecting, managing, sharing, and preserving data. She highlights funder requirements for data management plans and tools like DMPTool that can help researchers create plans and meet funder standards. Borda also offers tips for organizing, documenting, and storing data as well as sharing data through repositories to increase citations and ensure long-term preservation.
Pivot Table Calculate Data In Pivot Table Reports In Excel 2007Snigdha Parida
This document contains sales data from multiple salespeople in Canada over a period from January 2009 to April 2009. It includes fields for country, salesperson, sales amount, order date, and order ID. There are over 100 rows of sales data listed, with totals for individual salespeople ranging from around $1,000 to over $9,000. The data appears to be from a spreadsheet or database and could be used for analyzing individual salesperson or quarterly performance.
Data Management for Mountain Observatories WorkshopCarly Strasser
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.
"Undergrad ecologists aren't learning data management" - ESA 2013Carly Strasser
Presentation for Ecological Society of America 2013 Meeting in Minneapolis, MN on 6 August 2013. Results published in Ecosphere doi: 10.1890/ES12-00139.1
The document provides data from stable isotope analysis of algal samples collected from Wash Cresc Lake. It includes the weight, carbon and nitrogen content, and delta C-13 and N-15 isotope ratios for each sample. The data is presented in a table with sample identifiers and metadata including the sampling site, date, and reference isotope value statistics. Additional contextual information and explanations are included in notes below the table.
Susan Borda is a digital curation librarian who provides guidance on data management. She discusses the importance of data management plans and best practices for the various stages of the research data lifecycle including planning, collecting, managing, sharing, and preserving data. She highlights funder requirements for data management plans and tools like DMPTool that can help researchers create plans and meet funder standards. Borda also offers tips for organizing, documenting, and storing data as well as sharing data through repositories to increase citations and ensure long-term preservation.
Pivot Table Calculate Data In Pivot Table Reports In Excel 2007Snigdha Parida
This document contains sales data from multiple salespeople in Canada over a period from January 2009 to April 2009. It includes fields for country, salesperson, sales amount, order date, and order ID. There are over 100 rows of sales data listed, with totals for individual salespeople ranging from around $1,000 to over $9,000. The data appears to be from a spreadsheet or database and could be used for analyzing individual salesperson or quarterly performance.
Data Management for Mountain Observatories WorkshopCarly Strasser
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.
"Undergrad ecologists aren't learning data management" - ESA 2013Carly Strasser
Presentation for Ecological Society of America 2013 Meeting in Minneapolis, MN on 6 August 2013. Results published in Ecosphere doi: 10.1890/ES12-00139.1
This document contains two tables of stable isotope data from algal samples collected from Wash Cresc Lake, including the sample ID, weight, carbon and nitrogen content, carbon-13 and nitrogen-15 isotope ratios, and spectrometer number. It also lists the reference statistics for carbon-13 and nitrogen-15 isotope ratios. Additional text provides context that this is old data from Peter's lab that should not be used. Random notes are included at the bottom.
Data Stewardship for Researchers at UC RiversideCarly Strasser
This document summarizes data from a study of algal samples collected from Wash Cresc Lake. It includes a table with isotope data from 30 algal samples, including carbon and nitrogen delta values. The table also lists sample identifiers, weights, elemental percentages, and spectrometer numbers. Additional context is provided in notes about the study site, sample type, date, and tray identifier. The dataset and notes were produced by Stephanie Hampton for an ESA workshop and stored in an Excel file.
This document contains stable isotope data from algal and reference samples collected from Wash Cresc Lake. It includes a table with sample identifiers, weight, carbon and nitrogen content, carbon and nitrogen isotope ratios, and other metadata. Additionally, it notes that the data is from Stephanie Hampton's 2010 ESA Workshop presentation and is from an Excel file titled "Wash Cres Lake Dec 15 Dont_Use.xls". Regression statistics are provided for the isotope data.
The document discusses the DataUp project, which aims to build a network for data repositories and promote sharing of earth science, environmental, and oceanographic data. It notes challenges around data management and sharing, and asks questions about barriers to sharing data and how libraries can help with data education. The project is funded by the National Science Foundation to help scientists better manage and archive their data.
Data Stewardship for Scientists, for CLIR Postdoc WorkshopCarly Strasser
This document provides guidance on best practices for data stewardship for researchers. It discusses why data management is an important topic, including funder requirements for data sharing and increased emphasis on reproducibility. The document outlines best practices such as creating data management plans, storing data in repositories, and sharing data. Tips are provided on overcoming barriers to data sharing through education and promoting a culture shift toward recognition of data as a first-class research product.
The document shows data on Navy enlisted ratings including test passers, advancement quotas, opportunity quotas, and last cycle passers at different pay grades (E-6 through E-4). Overall, there were 1255 test passers with 142 receiving advancement opportunity and 801 test passers at E-5 with 180 receiving opportunity. The data provides statistics on advancement opportunities across 28 different Navy enlisted ratings at multiple pay grades.
Funders and publishers have something in common: for better or worse, we have the ability to influence the behavior of researchers. This talk will focus on what both groups can do to improve research now and in the future.
AIBS Bioinformatics Workforce Needs Workshop, Dec 2015Carly Strasser
The document discusses foundation support for data science tools and skills training. It notes that while career tracks and barriers to interdisciplinary work remain unchanged, computational and data analysis skills are increasingly important for researchers. The Data-Driven Discovery Initiative aims to catalyze shifts that encourage and reward data-intensive research. This includes making data science resources more accessible and ensuring students understand data analysis by 2020. The initiative promotes tools for data-driven research and funds environments welcoming data scientists to biology.
ESA Ignite talk on UC3 Dash platform for data sharingCarly Strasser
Ignite talk (20 slides / 15 seconds per slide) for ESA 2014 meeting in Sacramento, CA 12 August 2014. On the Dash platform for helping researchers manage and share their data via institutional repositories
Libraries & Research Data Management for CO Alliance of Resrch LibrariesCarly Strasser
Keynote presentation for the Colorado Alliance of Research Libraries 2014 Research Data Management Conference, 11 July 2014. Focuses on why data management and sharing is important, and the role of libraries.
Open Science for Australian Institute of Marine Science WorkshopCarly Strasser
*Please excuse the typos :)
Presentation on open science and open data for the Australian Institute of Marine Science (AIMS) workshop on "Raising your research profile using research data". 18 June 2014.
1. The document discusses tips and tools for data stewardship, including planning for data management, best practices for data collection and organization, documenting workflows, creating metadata, and sharing data.
2. It emphasizes writing a data management plan, keeping raw data separate and secure, using version control and backups, and revisiting plans periodically.
3. The document encourages learning skills for data management, using resources like libraries and repositories, and embracing changes that support more open and reproducible science.
Data management overview and UC3 tools for IASSIST 2014Carly Strasser
Presentation to introduce current landscape of data management and UC3 tools and services that support data sharing. For IASSIST in Toronto, 5 June 2014.
The document discusses repository choices for research data, including institutional and discipline-specific repositories. It notes that institutional repositories tell the story of a researcher's work, but may only include some data from a given paper, while discipline-specific repositories could include all data but are less discoverable. The document then outlines UCSF's DataShare repository, including its goals of lowering barriers to data sharing and building an engaged user community. It proposes expanding DataShare to be UC-wide under the name "UC Dash" and customizing it for each campus using the Merritt repository platform. Features and future enhancements are also listed.
More Related Content
Similar to DataUp Overview for UC Merced Research Week
This document contains two tables of stable isotope data from algal samples collected from Wash Cresc Lake, including the sample ID, weight, carbon and nitrogen content, carbon-13 and nitrogen-15 isotope ratios, and spectrometer number. It also lists the reference statistics for carbon-13 and nitrogen-15 isotope ratios. Additional text provides context that this is old data from Peter's lab that should not be used. Random notes are included at the bottom.
Data Stewardship for Researchers at UC RiversideCarly Strasser
This document summarizes data from a study of algal samples collected from Wash Cresc Lake. It includes a table with isotope data from 30 algal samples, including carbon and nitrogen delta values. The table also lists sample identifiers, weights, elemental percentages, and spectrometer numbers. Additional context is provided in notes about the study site, sample type, date, and tray identifier. The dataset and notes were produced by Stephanie Hampton for an ESA workshop and stored in an Excel file.
This document contains stable isotope data from algal and reference samples collected from Wash Cresc Lake. It includes a table with sample identifiers, weight, carbon and nitrogen content, carbon and nitrogen isotope ratios, and other metadata. Additionally, it notes that the data is from Stephanie Hampton's 2010 ESA Workshop presentation and is from an Excel file titled "Wash Cres Lake Dec 15 Dont_Use.xls". Regression statistics are provided for the isotope data.
The document discusses the DataUp project, which aims to build a network for data repositories and promote sharing of earth science, environmental, and oceanographic data. It notes challenges around data management and sharing, and asks questions about barriers to sharing data and how libraries can help with data education. The project is funded by the National Science Foundation to help scientists better manage and archive their data.
Data Stewardship for Scientists, for CLIR Postdoc WorkshopCarly Strasser
This document provides guidance on best practices for data stewardship for researchers. It discusses why data management is an important topic, including funder requirements for data sharing and increased emphasis on reproducibility. The document outlines best practices such as creating data management plans, storing data in repositories, and sharing data. Tips are provided on overcoming barriers to data sharing through education and promoting a culture shift toward recognition of data as a first-class research product.
The document shows data on Navy enlisted ratings including test passers, advancement quotas, opportunity quotas, and last cycle passers at different pay grades (E-6 through E-4). Overall, there were 1255 test passers with 142 receiving advancement opportunity and 801 test passers at E-5 with 180 receiving opportunity. The data provides statistics on advancement opportunities across 28 different Navy enlisted ratings at multiple pay grades.
Similar to DataUp Overview for UC Merced Research Week (8)
Funders and publishers have something in common: for better or worse, we have the ability to influence the behavior of researchers. This talk will focus on what both groups can do to improve research now and in the future.
AIBS Bioinformatics Workforce Needs Workshop, Dec 2015Carly Strasser
The document discusses foundation support for data science tools and skills training. It notes that while career tracks and barriers to interdisciplinary work remain unchanged, computational and data analysis skills are increasingly important for researchers. The Data-Driven Discovery Initiative aims to catalyze shifts that encourage and reward data-intensive research. This includes making data science resources more accessible and ensuring students understand data analysis by 2020. The initiative promotes tools for data-driven research and funds environments welcoming data scientists to biology.
ESA Ignite talk on UC3 Dash platform for data sharingCarly Strasser
Ignite talk (20 slides / 15 seconds per slide) for ESA 2014 meeting in Sacramento, CA 12 August 2014. On the Dash platform for helping researchers manage and share their data via institutional repositories
Libraries & Research Data Management for CO Alliance of Resrch LibrariesCarly Strasser
Keynote presentation for the Colorado Alliance of Research Libraries 2014 Research Data Management Conference, 11 July 2014. Focuses on why data management and sharing is important, and the role of libraries.
Open Science for Australian Institute of Marine Science WorkshopCarly Strasser
*Please excuse the typos :)
Presentation on open science and open data for the Australian Institute of Marine Science (AIMS) workshop on "Raising your research profile using research data". 18 June 2014.
1. The document discusses tips and tools for data stewardship, including planning for data management, best practices for data collection and organization, documenting workflows, creating metadata, and sharing data.
2. It emphasizes writing a data management plan, keeping raw data separate and secure, using version control and backups, and revisiting plans periodically.
3. The document encourages learning skills for data management, using resources like libraries and repositories, and embracing changes that support more open and reproducible science.
Data management overview and UC3 tools for IASSIST 2014Carly Strasser
Presentation to introduce current landscape of data management and UC3 tools and services that support data sharing. For IASSIST in Toronto, 5 June 2014.
The document discusses repository choices for research data, including institutional and discipline-specific repositories. It notes that institutional repositories tell the story of a researcher's work, but may only include some data from a given paper, while discipline-specific repositories could include all data but are less discoverable. The document then outlines UCSF's DataShare repository, including its goals of lowering barriers to data sharing and building an engaged user community. It proposes expanding DataShare to be UC-wide under the name "UC Dash" and customizing it for each campus using the Merritt repository platform. Features and future enhancements are also listed.
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 PerishCarly Strasser
Intro presentation for panel on going beyond publishing journal articles. UC Davis "Publish or Perish?" Event, 13 Feb 2014. Sorry about missing gradient on some of slides!
1. DataUp:
Helping
manage
&
archive
data
Carly
Strasser
From
Flickr
by
kaniths
California
Digital
Library
@carlystrasser
UC
Merced
March
2013
2. From
Flickr
by
DW0825
From
Flickr
by
Flickmor
From
Flickr
by
deltaMike
Digital
data
www.woodrow.org
C.
Strasser
Courtesey
of
WHOI
From
Flickr
by
US
Army
Environmental
Command
3. Digital
data
+
Complex
workflows
From
Calisphere
via
San
Jose
Public
Library
8. Who
cares?
From
Flickr
by
AJC1
From
Flickr
by
Redden-‐McAllister
9. The
Fallout
Data
Reuse
Data
Sharing
Data
Management
10. Hurdles
to
From
Flickr
by
iowa_spirit_walker
Data
Stewardship
Cost
Confusion
about
standards
Disparate
datasets
Lack
of
training
Fear
of
lost
rights
or
benefits
No
incentives
11. The
Fallout
? Data
Reuse
Data
Sharing
Data
Management
14. Facilitate
Archiving
Data
management
&
Data
Reuse
&
Sharing
Reproducibility
organization
Publishing
15. Open
Source
Tool
Add-‐in
&
Web
Application
Earth,
environmental,
?
ecological
researchers
16. Add-‐in
• Software
you
download
&
install
• Appears
as
“ribbon”
in
Excel
• Works
for
Windows
Excel
2007+
Web-‐based
application
• Website
that
does
something
with
user’s
files
• Any
platform
• But…
new
user
interface
40. My
website
carlystrasser.net
Email
me
carlystrasser@gmail.com
Tweet
me
@carlystrasser
My
slides
slideshare.net/carlystrasser
CDL
Blog
datapub.cdlib.org