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SUMMARY:IC Talk: Data and Code Sharing for Open Science
DTSTART:20191016T143000
DTEND:20191016T154500
DTSTAMP:20260406T185247Z
UID:ba49b5c3eb0e1b05053b60ae33b3bda265e57d3616d1107f36021ec2
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Merce Crosas - Harvard University\n\nAbstract:\nA critical
  element of Open Science is open access to research data and code. Success
 ful implementation of widely used solutions for sharing open data must com
 bine technology\, standards\, and incentives. For the last 15 years\, the 
 Dataverse project has focused on these three aspects to enhance research d
 ata sharing and enable access to tens of thousands of research datasets ar
 ound the word. Currently\, the Dataverse project is working to add two cru
 cial components to continue supporting open science: 1) sharing code assoc
 iated with the data and reproducible packages to verify scientific results
 \, and 2)  standardized data policies and differential privacy features t
 o enable sharing and analysis of sensitive data. This talk will summarize 
 the achievements made so far and outline the future improvements.\n\nBio:\
 nMercè Crosas is Harvard University’s Research Data Officer\, with Har
 vard University Information Technology (HUIT)\, and Chief Data Science and
  Technology Officer at Harvard’s Institute for Quantitative Social Scien
 ce (IQSS).\n\nIn her role at HUIT\, Dr. Crosas provides leadership to matu
 re Harvard’s data management and governance practices. She works in clos
 e collaboration with key constituencies in Research\,  Information Techno
 logy\, and the Library to coordinate support for the data lifecycle and gu
 ide university policy\, process\, and procedures for research data. Dr. Cr
 osas brings to this role a wealth of experience in data management archite
 cture and international community data standards as well as the vision to 
 make data more accessible for research while preserving privacy.\n\nAt IQS
 S\, Dr. Crosas guides the vision and strategic direction of data sharing a
 nd data analysis projects developed at the Institute. She has led the Data
 verse project\, an open source software platform for sharing and archiving
  research data\, since 2006. She now\, also\, leads the development of the
  text analysis tool Consilience\, the DataTags project for sharing sensiti
 ve data\, and supervises the user experience\,  data curation\, and data 
 science services teams.\nIn the last ten years\, Dr. Crosas has been PI an
 d co-PI of multiple research grants and collaborations related to data pri
 vacy\, data provenance\, research reproducibility\, and data sharing in so
 cial science\, biomedicine\, and astronomy. She is part of numerous commit
 tees and working groups focused on research data management\, data citatio
 n\, and data standards\, and is a co-author of the FAIR (Findable\, Access
 ible\, Interoperable\, Reusable) data principles as well as the Joint Decl
 aration of Data Citation Principles.\n\nBefore re-joining Harvard in 2004\
 , Dr. Crosas worked for six years in the educational software and biotech 
 industries\, initially as a software developer\, and subsequently as direc
 tor of the software development team. She contributed to the development o
 f lab information management systems (LIMS) for SNP discovery and genotypi
 ng and mass spectrometry. Before that\, she spent six years at the Harvard
 -Smithsonian Center for Astrophysics\, first as a pre-doctoral fellow for 
 her Ph.D. in Astrophysics from Rice University\, and later as a post-docto
 ral fellow\, researcher\, and software engineer with the Radioastronomy di
 vision. There she worked on Monte Carlo simulations of radiative transfer 
 in evolved stars and contributed to the software for the Submillimeter Arr
 ay interferometer. She earned a B.S. in Physics from the Universitat de Ba
 rcelona\, Spain.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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