This poster outlines how creators of scientific data can and should work with librarians to make their data FAIR (findable, accessible, interoperable, reusable). The starting point is the observation that the originators of the FAIR concept point out that a 'little FAIR' may go a long way towards achieving FAIR aspirations. Second, the authors point out that value-added FAIR efforts should align with where the data is in the data life cycle. Fully FAIR data is not a binary choice. Third, data has an ongoing presence or life story, that suggests ongoing curation and potential additional FAIR data activities are possible increasing data FAIR-ness. Finally the authors argue that librarians have knowledge, skills, and resources that researchers...
The needs of and demands on institutional and generalist repositories have changed greatly in the pa...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have...
Making FAIR data a reality requires collaboration and efforts at various levels. Libraries can and d...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the pri...
This is the material I used in the “Dealing with FAIR data” workshop of the 2022 Open Science Summer...
<p>There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A d...
Abstract This presentation provides insights into recent FAIR processes at the National Library of ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
Managing research data effectively and efficiently is crucial for the success of any research projec...
FAIR Data Principles is a guideline for making data and other digital objects findable, accessible, ...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have...
The needs of and demands on institutional and generalist repositories have changed greatly in the pa...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have...
Making FAIR data a reality requires collaboration and efforts at various levels. Libraries can and d...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the pri...
This is the material I used in the “Dealing with FAIR data” workshop of the 2022 Open Science Summer...
<p>There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A d...
Abstract This presentation provides insights into recent FAIR processes at the National Library of ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
Managing research data effectively and efficiently is crucial for the success of any research projec...
FAIR Data Principles is a guideline for making data and other digital objects findable, accessible, ...
In this data-driven age there is a need to transform the current publication-focused infrastructure ...
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have...
The needs of and demands on institutional and generalist repositories have changed greatly in the pa...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have...