Sur l’agenda 9 juin 2017

Astronomy Librarianship in the era of Big Data and Open Science

Strasbourg, France

Library and Information Services in Astronomy (LISA) is a series of scientific meetings for librarians and scientists that aims to provide a platform to discuss the state of the art of information maintenance, retrieval, delivery, and preservation and to learn from invited experts the directions in which our profession is moving.

LISA conferences cover such diverse topics as organization and management of books, journals, and specialized materials ; electronic publishing (note that astronomy is a leader in the field) ; bibliographic and full text databases of astronomical literature ; reports on collaborative projects.


The LISA VIII Scientific Organizing Committee (SOC) cordially invites you to submit contributed talks and poster presentations. Papers are solicited in particular, but not exclusively, on the following topics :

Open source software publishing
- Best practices
- Citing software
- Understanding licenses
- Publishing code and data together
- DOI services
- Publishing software articles

- Publishing data
- Country specific copyright laws

Research and technology skills training
- Version control
- Software carpentry
- Data sharing
- Programming for librarians

Data management
- Data management planning
- DMP Tool
- Providing access
- Citations

- Subject specific and broad
- Creation and use
- Access
- Preservation and certification

New tools and techniques
- What is being developed currently
- Future of librarianship


- Telescope bibliographies
- Traditional metrics vs altmetrics
- Astronomy evaluations

Please submit your abstract with the abstract submission form at :

Submission deadline will be November 30, 2016.



“The road less travelled ?” Research data, careers and other pathways

Londres, Royaume-Uni
Friends House, 173-177 Euston Road


Six years on from the first of these events, and six months on from the latter, how – and to what extent – have data career pathways matured in the last half-decade, and what might we expect from the next five to ten years ? As estimates of the numbers of data scientists that will be required to meet demand in the coming years become ever more extravagant, how well positioned is the academy to produce these, whether via formal qualifications or the development of existing staff ? How do we balance and reconcile the scholarly effort involved in research data management (and software, as Research Software Engineer matures as a profession) with career progression ? And how do we ensure we continue to address the concerns of different stakeholder groups, such as funders and publishers ? In short, how far have we come, where are we now, and what must we continue to plan for ?