- Motivations
- Academic systems evaluate people
- I dislike this, but that doesn't make it less true
- Success requires self-advocacy
- NOT the same as boasting
- make it easy for other people to find and learn about your work
- Academic systems evaluate people
- Learning Outcomes
- understand the FAIR principles as they relate to scientific data management
- explain the benefits of ORCID and Google Scholar profiles
- define DOI, its attributes, and uses
- identify tools and platforms for publishing interim research products
- Costs
- to my knowledge, all of the tools introduced here are free
- they may have paid tiers with additional features
- funding sources often include large non-profits, funding agencies, etc.
- DO be aware that some platforms are run by for-profit publishing companies that are monetizing data on academics
- to my knowledge, all of the tools introduced here are free
- What is it?
- Guidelines for Scientific Data (but which apply more generally)
- Findable
- Accessible
- Interoperable
- Reusable
- Findable -- Can humans and machines find the data?
- use metadata that accurately describes the content
- use metadata that helps people find the content
- Metadata -- data that describes or gives information about other data
- "The ISO country code for Namibia is NA, which has been a hilariously frustrating discovery I made while coding today #rstats" - Sarah Bowden (@mamabphd) June 17, 2020 - https://twitter.com/mamabphd/status/1273352107240968193
- the text of the tweet is content, and the hashtag identifies the content as related to R
- metadata enables organization of tweets and findability of content (in this case without having to follow the original author or retweeters)
- Accessible -- there should be minimal barriers to access the data
- e.g. no proprietary interfaces or software required
- "available upon (reasonable) request" is insufficient!
- use established methods to authenticate access to protected or private data
- Interoperable
- use a common, shared format for storage
- use a metadata standard for attributes
- FAIR Data Point is one
- some are domain-specific, e.g. Ecological Metadata Language
- Reusable
- add descriptions to help researchers identify whether it is suitable for their usage
- use a legal license that enables re-use
- e.g. CC-BY or CC-0
- don't use a code license, e.g. MIT
- include attribution and a description of how to cite the data
- Summary
- FAIR principles are intended to make data more useful
- the same principles apply for academic work!
- FAIR principles are intended to make data more useful
- for more on data, see the Research Data Management Libguide
- Your Academic Identity
- "Never ceases to amaze me how many postdoc scientists & other early career researchers have basically zero internet presence. Many have no website (beyond an impoverished uni site & even that's often missing), no readily available contact details, no pub list. Don't be invisible." - Chris Chambers (@chrisdc77) January 29, 2019 - https://twitter.com/chrisdc77/status/1090198315617132545
- is it FAIR?
- Findable
- Accessible
- Interoperable
- Reusable
- ORCID
- https://orcid.org/
- Open Researcher and Contributor IDentifier
- unique ID that stays with you, regardless of changes in name, email, institution
- common way to login to journals and identify yourself on publications
- Google Scholar
- https://scholar.google.com/
- IMO, does the best job of automatically identifying your papers
- allows you to correct errors in the records for your works
- citation statistics
- these are imperfect, but LOTS of people care and this makes it easy for them to check
- LinkedIn
- https://www.linkedin.com/
- a must if you are considering a position in industry
- use the right buzzwords for your skills
- find people with jobs that you aspire to, and see what buzzwords they use
- Other
- ask around to see what sites are common in your field
- not just what people use, but what they use to look up or find applicants
- consider a personal website:
- present more detailed information NOT found in other sites
- many free and nice options (custom domains are about $10/year)
- DOI = Digital Object Identifier
- format
10.NNNN/{suffix}
NNNN
identifies the registrant{suffix}
identifies the object- e.g.
10.5281/zenodo.3892184
- format
- DOI Properties
- DOIs are permanent
- the object and metadata record are archived
- unambiguous
- each DOI links to a unique object, and will only ever link to that object
- DOIs are permanent
- Why is this Important?
- A given DOI always point to the same object.
- (some exceptions for updating the metadata or deleting the object)
- The scholarly record needs permanence.
- someone else needs to be able to look up your sources
- DOIs fit this role
- Most journals issue a DOI for each article.
- A given DOI always point to the same object.
- Get DOIs for Your Work
- If you have interim products, e.g.
- code
- datasets
- protocols
- images/video
- A DOI makes that work citable!
- for fellowship/grant/job applications
- If you have interim products, e.g.
- Places that issue DOIs
- preprint servers
- data repositories
- general-purpose repositories
- tooling-specific repositories
- Preprints
- papers, before peer-review and journal formatting
- very common in math & physics, catching on elsewhere
- why?
- share your work more quickly
- not delayed until peer review
- (sometimes) get feedback
- Preprint servers
- arXiv.org -- primary one for math and physics
- uses their own indexing instead of DOI
- bioRxiv.org -- primary one for biology
- medRxiv.org -- primary one for health sciences
- many others
- including OSF-hosted servers
- arXiv.org -- primary one for math and physics
- Data Repositories
- Zenodo
- https://zenodo.org/
- approved by UF IT for data storage (workshops forthcoming)
- 50 GB capacity, supported by CERN
- Dryad - https://datadryad.org
- figshare - https://figshare.com
- Zenodo
- Data Repositories
Additional Notes- Use whatever is common for your field / journal
- Be aware of sharing restrictions for protected/private data
- See the Research Data Management Libguide for details
- General Purpose Repositories
- Open Science Framework
- https://osf.io/
- files can be uploaded or linked through github, dropbox, google drive, etc.
- projects can be embedded within other projects
- can issue DOIs for public projects
- Open Science Framework
- Tooling-Specific
For specific (common) applications:- laboratory protocols and handy app -- https://www.protocols.io/
- computer code -- https://github.com
- does not issue DOI, but deposits to Zenodo
- pre-register study design and analysis -- https://clinicaltrials.gov/, or https://osf.io/
- list of journals with registered reports
- Let me know what content you'd like to see
- Contact me for additional questions or consultation requests!
- Check back in on the libguide for more modules and contact info: