“Love Data Week is the international celebration of data” - Love Data Week
Love Data Week 2022 Programming
The LANL Research Library is joining other research libraries and institutions to celebrate Love Data Week 2022, this February 14-18, 2022, an international week-long offering of presentations and workshops focused on data access, management, security, sharing, and preservation.
This year’s theme is “Data is for Everyone.”
Blog post: Call to Action – How to Love Your Data by Hannah Hamalainen
|Tuesday, 2/15 11am
|Wednesday, 2/16 11am
Open Data Workshop
What is open data? What does it mean to use, produce, and share data openly? We would like to invite you to attend an Open Data Workshop that will discuss the basic history of open data and the continued importance of improving the quality of and access to data, issues of data management and will focus on finding open data repositories.
Join Librarians Elizabeth Moyer and Hannah Hamalainen online for an introduction to open data as part of the Library’s programming for International Love Data Week.
Thursday, 2/17 10 am *note new time and date*
Dr. Lauren Gardner: Tracking COVID-19 in Real-time: Lessons Learned and Challenges Faced. Co-sponsored by ISTI/SRO-RL.
Thursday, 2/17 11am
|Friday, 2/18 11am
Love at First Cite: Publishing data on the Figshare platform to increase your work’s impact and reuse
Please join the Research Library with Andrew McKenna-Foster from Figshare during Love Data Week. Figshare is a leading repository platform that offers researchers a free place to make research outputs, from data to supplementary material, available in a citable, shareable, and discoverable manner. This is important because sharing data is becoming the default expectation for researchers, especially those funded by large funding agencies and who publish in peer reviewed journals. Using Figshare to share data, rather than a personal website or not at all, ensures that researchers can be properly credited and cited when their data is reused. This presentation will give an overview of important components for FAIR (https://www.go-fair.org/, Findable, Accessible, Interoperable, and Reusable) data sharing. Using examples from Figshare, it will cover how you can use the platform to publish your research outputs using a free account or opt for Figshare+ paid services for large files and curation assistance.
Have any data specific questions or need an in-depth data consultation?
Research Data Services provides consultations on your current data practices and research needs. Use the request form below for assistance and we will connect you to the help you need. Consultations generally occur over webex or email, depending on your availability.
Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike. - Open Data Handbook
Metadata is embedded in data files or stored in separate, easy to identify files. Start documenting metadata at the beginning of your project and continue throughout to save time and avoid losing information.