Future of Open Science

Problems to overcome

class="squire-citation ltx_cite" class="ltx_cite"  data-bib-text="@article{Brembs_2015, doi = {10.1515/iwp-2015-0027},  url = {http://dx.doi.org/10.1515/iwp-2015-0027},  year = {2015}, 
...
title = {{Open Science als eine Lösung der Infrastrukturkrise in der Wissenschaft}},  journal = {Information - Wissenschaft {\&} Praxis},  }  " data-bib-key="Brembs_2015" contenteditable="false" style="cursor: pointer"> contenteditable="false">  href="#Brembs_2015">Brembs 2015 states that there exist no technical problems to practice Open Science, including a digital infrastructure for submission of automatically produced graphs.

Wird in Evaluierungsunterlagen nach Open Access/Open Data gefragt? Open 

Open  Science is of minor importance for passing the Leibniz evaluation. Nevertheless, the data mangement department of ZALF has received more requests about registering data in 2014 and 2015 than before. The inclusion of ZALF Open Research Data into the Thomson Reuters Data Citation Index and information events might be a reason for rising awareness for Open Science. However, we have been asked if registered Open Data are collected in the research information system, which is not the case. If Open Data was treated like publications, funding and collaborations, more researchers might see a benefit and recognition for their additional effort.

One of the main future activities for the service departments should be information and education events for scientists in order to explain short and long term benefits of Open Science, recognize fears and to meet the scientist's needs. Easy to use tools for data management and data registration are crucial and need to be promoted.

A data policy has been a means to promote Open Data at several German institutions (Göttingen, HUB, ...) and ZALF is currently preparing one. However, detailed workflows are being included the ZALF data policy, which slows down the process of implementing it. Policies can have different targets like rising awareness,  committing to something or regulating workflows.

For scientist who want to submit their open data after the data policy takes effect, technical solutions need to be implemented. Submitting data needs to be easy and fun.