Alle Beiträge von Annika Spranz

INCONECSS Community Meetings Focussing on Research Data

Every three months, ZBW – Leibniz Information Centre for Economics invites you to their INCONECSS Community Meetings where you can delve into current topics in the field of economics and business information and share your experience with others.

The upcoming INCONECSS Community Meetings will take place on:

Sep 27, 2021: Research Data: Representations, Analytics and Visualizations
Dec 13, 2021: Trainings and Games Related to Research Data

Sign up and further information: https://www.inconecss.eu/community.html

An Integrated Data Framework Guides Policy in Times of Dynamic Economic Shocks

Sudden and unforeseen shocks can cause incalculable and fast-changing economic dynamics to which policy makers need to respond quickly – as we have experienced during the COVID-19 pandemic. At the same time, data from traditional statistics that usually guide policy decisions are only available with non-negligible time delays. This leaves policy makers uncertain about how to most effectively manage their economic countermeasures to support businesses.

Given this information deficit, our colleagues from ZEW – Leibniz Centre for European Economic Research propose a framework that guides policy makers throughout all stages of an unforeseen economic shock by providing timely and reliable data as a basis to make informed decisions. They do so by combining early stage ‘ad hoc’ web analyses, ‘follow-up’ business surveys, and ‘retrospective’ analyses of firm outcomes.

Learn more about the proposed integrated data framework in the recently published discussion paper.

BERD@BW goes BERD@NFDI

We are excited that our „big sister“ BERD@NFDI was accepted for funding within the National Research Data Infrastructure (NFDI) starting October 2021. The BERD@NFDI funding gives us the opportunity to lift BERD@BW to the next level and to sustainably develop and build a national cloud-based platform for FAIR Business, Economics and Related Data that reflects the whole data analytics pipeline. Of course, the BERD@BW services will also be accessible through BERD@NFDI. Follow BERD@NFDI on Twitter and LinkedIn to stay up to date.