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Love Data Week 2022

Central portal for all the information on Love Data Week 2022

Love Data Week

“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.” 


Monday, 2/14
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.
ISTI and the LANL Research Library invite you to attend a talk by Dr. Lauren Gardner, creator of the JHU interactive web-based dashboard known around the world, the COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) being used by public health authorities, researchers, media, and the general public to track information regarding the outbreak of the novel coronavirus. Gardner will give a brief overview of the evolution of the dashboard, discuss some of the challenges her team faced along the way, and suggest some methods by which disease tracking could be done better in the future. She will also discuss how her team has used the data to build outbreak prediction models and improve our general understanding of COVID-19 spreading risk. For more information & WebEx link for this talk, please visit the ISTI website.

For more information about Gardner and the COVID-19 dashboard, see the Research Library's Tracking Covid-19 & Gardner Bibliography.

Thursday, 2/17 11am
Data: Was it Love at First Sight?

More than half of American adults believe in love at first sight. Whether your love is for data or for something more traditional, join us for a light-hearted (see what we did there?) look at what data in ICPSR's collection can tell us about love. We will explore data about the love we have for each other (friendship, sexual, romantic, familial), for our pets and hobbies, even for selected foods. The goal of the session is to have a bit of fun while exploring the breadth of data available through ICPSR. NOTE: preregistration required

Blog post: Accessibility in Data by Sarah Hayes

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 (, 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.

Consultation Request


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.

Types of information to document in metadata:
  • Project Documentation
    • Sources
    • Data collection methods
    • Integrity and quality assurance
    • Transformations of data
    • Information on confidentiality, access, and use
    • Publications
  • Dataset Documentation
    • File format and software used
    • Versioning
    • Variable names and descriptions
    • Explanation of codes and classification schemes used
    • Algorithms use to transform data, including computer code used
  • File Directory Documentation
    • Structure and organization of files
    • File naming standardization
    • How files are related to each other

Metadata Standards

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