%0 Conference Paper
%A Filozova, Irina
%A Zaikina, Tatiana
%A Shestakova, Galina
%A Semenov, Roman
%A Köhler, M.
%A Wagner, A.
%A Baracci, Laura
%T JINR Open Access Repository based on the  JOIN² Platform
%M PUBDB-2021-00004
%@ 978-5-6045486-0-8
%P 99 - 102
%D 2020
%< Data Analytics and Management in Data Intensive Domains: ХХII International Conference DAМDID/RCDL' 2020 (October 13–16, 2020, Voronezh, Russia): Extended Abstracts of the Conference. Edited bу Bernhard Thalheim, Sergey Makhortov, Alexander Sychev. – Voronezh: Voronezh  State University, 2020. – 241р.
%X In  recent  years,  Open  Scientific  Infrastructures  have  become  an  im-portant  tool  for  providing  researchers  and  society  with  scientific  information. Research institutes and universities worldwide actively plan and implement ar-chives of their scientific output. Likewise, the JINR Document Server (JDS —jds.jinr.ru)  stores  JINR  information  resources  and  provides  effective  access  to them. JDS contains numerousmaterials that reflect and facilitate research activ-ities. Technically, JDS is based on the Invenio software platform developed by CERN.To further improve the services, JDS is now adapting JOIN² workflows. JOIN², also based on Invenio, allows users, authors, librarians, managers, etc. to view  the  results  of  scientific  work  in  a  useful,  friendly  form  and  provides  rich functionalities in the simplest way. The JOIN² workflow covers several verifi-cation layers of user data to minimize errors and thus provides checked and re-liable  information  to  end  users.  JDS  features  records  with  media  files  (video lectures,  seminars,  tutorials),  and  data  import  using  DOI,  ISBN,  IDs  from arXiv,  WoS,  Medline,  PubMed,  INSPIRE.  Private  collections  with  working group   identification   enable   the   integration   into   the   research   workflow. Acommon  collection  of  Authority  Records,  i.e.  grants,  experiments,  institu-tions,  institutes,  people,  periodicals  and  their  link  with  bibliographic  records, establishes a high level of consistency and data quality.
%B XXII International Conference on Data Analytics and Management in Data Intensive Domains
%C 13 Oct 2020 - 16 Oct 2020, Voronezh (Russia)
Y2 13 Oct 2020 - 16 Oct 2020
M2 Voronezh, Russia
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.3204/PUBDB-2021-00004
%U https://bib-pubdb1.desy.de/record/453548