2:00-3:30 at Steenbock Thurs, Oct. 13, 9:30-11:00 at Memorial Research Data Management & Sharing Wed, Nov. 16, 2:00-3:30 at Steenbock Thurs, Nov. 17, 9:30-11:00 at Memorial Open Access Publishing Wed, Dec. 14, 2:00-3:30 at Steenbock Thurs, Dec. 15, 9:30-11:00 at Memorial Open Research & Reproducibility Wed, Feb. 15, 2:00-3:30 at Steenbock Thurs, Feb 16, 9:30-11:00 at Memorial Authors’ Rights Management Wed, Mar. 15, 2:00-3:30 at Steenbock Thurs, Mar. 16, 9:30-11:00 at Memorial Digital Project Planning Wed, Apr. 12, 2:00-3:30 at Steenbock Thurs, Apr. 13, 9:30-11:00 at Memorial Library administration effort to support staff work and development around these topics
S + + + TEACHING + TRAINING • Data information literacy • Embedded assistance DATA CURATION TECHNOLOGY • Storage • Collaboration • Preservation (Maybe in the form of a repository, maybe not.) 2
information commonly accepted in the scientific community as necessary to validate research findings.” INCLUDES: code, figures, statistics, interviews, transcripts EXCLUDES: preliminary analyses, drafts of papers, plans for further research, communication + peer reviews, physical samples - OMB Circular, White House
few skills to manage it effectively Movement toward openness, impacted by OSTP and spurred by early career researcher expectations Disciplinary culture shifts toward data reuse + reproducibility Need for multi-purpose online spaces to collaborate, share, store, and archive research outputs (including data)
all federal funding agencies. Office of Science and Technology Policy (OSTP) memo – Released spring 2013; took effect fall 2015 – Requires open sharing of published articles and data – Publication repository is provided; data repository is not – Applies to agencies with $100M + in R&D
meaningfully or jumbled together? Do you know where your data is? Documentation • How much contextual information accompanies your data? Can you understand it? Can a stranger understand it? Storage & backup • Where is your data stored and backed up? Could you recover from hardware failure or accidental deletion? Media obsolescence • Do you know how the software, hardware, and file formats you use will impact your data’s readability in the future?
related files • Consistent • Short yet descriptive • Avoid spaces and special characters example File001.xls vs. Project_instrument_location_YYYYMMDD.xls
for your project – File type – Date – Type of analysis example: MyDocuments\Research\Sample12.tiff vs. C:\\NSFGrant01234\WaterQuality\Images\LakeMendota_20141030.tiff
readme file. (Good example located here: http://hdl.handle.net/2022/17155) – Document any data processing and analyses. – Don’t forget written notes. Item-level – Remember the importance of file names for conveying descriptive information. – Find and adhere to disciplinary metadata standards • XML • Dublin Core
information for people associated with the project • List of files, including a description of their relationship to one another • Copyright + licensing information • Limitations of the data • Funding sources / institutional support tl;dr Any information necessary for someone with no knowledge of your research to understand and / or replicate your work.
access regularly and change frequently. In general, losing your storage means losing current versions of the data. backup = regular process of copying data separate from storage. You don’t really need it until you lose data, but when you need to restore a file it will be the most important process you have in place.
TWO onsite – ONE offsite Example – One: Network drive – Two: External hard drive – Three: Cloud storage This ensures that your storage and backup is not all in the same place – that’s too risky!
become obsolete through business deals, new versions, or a gradual decline in user base. (Consider WordPerfect.) • Anticipate average lifespan of media to be 3-5 years. Migrate your files every few years, if not more frequently!
obsolescence than others – Open, non-proprietary formats (pick TXT over DOCX, CSV over XSLX, TIF over JPG) – Wide adoption – History of backward compatibility – Metadata support in open format (XML)
a place for X Lab to store large amounts (100 gb) of data that relates to each publication? Requirements: • DOI • Ability to store multiple files and folders • Ability for people to access without paying any money or a sign-in • Not connected to Professor X → longevity 2. How do people handle/share computer code related to a publication?
of RDM and libraries? • What do you want to learn about RDM? What are you most curious about? • What are good strategies for engaging departments in discussion on these topics?
at Steenbock Thurs, Oct. 13, 9:30-11:00 at Memorial Research Data Management & Sharing Wed, Nov. 16, 2:00-3:30 at Steenbock Thurs, Nov. 17, 9:30-11:00 at Memorial Open Access Publishing Wed, Dec. 14, 2:00-3:30 at Steenbock Thurs, Dec. 15, 9:30-11:00 at Memorial Open Research & Reproducibility Wed, Feb. 15, 2:00-3:30 at Steenbock Thurs, Feb 16, 9:30-11:00 at Memorial Authors’ Rights Management Wed, Mar. 15, 2:00-3:30 at Steenbock Thurs, Mar. 16, 9:30-11:00 at Memorial Digital Project Planning Wed, Apr. 12, 2:00-3:30 at Steenbock Thurs, Apr. 13, 9:30-11:00 at Memorial