News

2nd Open Science Retreat

ZBW – Leibniz Information Centre for Economics invites to the 2nd Open Science Retreat that will take place online on February 15 – 16, 2022. This year’s retreat is dedicated to Sustainable and Reliable Open Science Infrastructures and Tools.

With the Open Science Retreat, ZBW aims to bring together international open science enthusiasts and supporters from different stakeholder groups. You will discuss the various aspects of successful and sustainable models for open science infrastructures and tools (technology, funding, community engagement) and create a corresponding virtual map.

Applications are due on January 28, 2022. Further information: https://openscienceretreat.zbw.eu/

Call for Contributions for 3rd INCONECSS now open

The world of business and economics research and information: Collaborate, compete or collapse? That is the question ZBW – Leibniz Information Centre for Economics raises at the third INCONECSS – International Conference on Economics and Business Information taking place on May 17 – 19, 2022. You would like to contribute? The call for contributions is now open! Further information is available here.

INCONECSS is an international conference for researchers, librarians and other information specialists supporting researchers in Economics and Business Studies. INCONECSS wants to be a platform for the exchange on changing user needs and services as well as on the evolving landscape of scholarly publishing.
INCONECSS encourages conversations between researchers, information specialists and other people working in fields related to information provision for research in Economics and Business Studies.

Dataset on Historical Advertisements of The Economist Released Now

On Open Big Data, our directory of open access datasets for social science research, we have published a master dataset of historical advertisements of The Economist now.

This FAIR dataset contains metadata of 512.599 historical advertisements from all 8,840 issues of The Economist magazine, years 1843 to 2014. It is part of a series of datasets related to The Economist Historical Archive.

Check this out if you are looking for historical data on advertisements for your research: http://openbigdata.directory/

NFDI at Berlin Science Week 2021

During the Berlin Science Week 2021, NFDI – Nationale Forschungsdateninfrastruktur e.V. will organize the virtual NFDI Science Slam on 9 November 2021 at 17:00 – 19:00 h CEST. If you want to learn more about NFDI and the various NFDI consortia, secure your seat now!

Berlin Science Week provides international scientists and science driven organizations with a stage to share insights into current topics, discuss grand challenges and envision the future together. Throughout ten festival days and beyond, Berlin Science Week fosters debates and knowledge exchange in an open and interdisciplinary spirit.

The conference takes place from 1 to 10 November 2021. The full conference program is available on the conference website.

BERD looks forward to the 7th bwHPC Symposium

We are looking forward to present BERD together with BioDATEN, MoMaF, SDC4Lit and bw2FDM at the 7th bwHPC Symposium on November 8, 2021. The conference focuses on the presentation of scientific projects and success stories carried out with the help of bwHPC high performance computing as well as the BaWü data federation. The event offers a unique opportunity to engage in an active dialogue between the scientists, operators of the bwHPC services, and members of the bwHPC-S5 support centers.

Details regarding program and registration are available here.

Data Literacy Essentials 2021

Our colleagues Irene Schumm, Markus Herklotz and Lars Oberländer presented as part of this years’ Data Literacy Essentials series on data literacy, data collection as well as data protection and copyright in research data.

The Data Literacy Essentials are 45-minute (online) seminars designed to familiarize students with the basics of working with data early in their studies. The series explicitly addresses students whose degree programs do not focus on these topics and seeks to make any potential for data value creation visible that has not yet have been exploited.

Find further information and the slides of the lectures here.

Named entity linking on unstructured texts using spaCyOpenTapioca

Due to the size and volume of unstructured textual data, automatic processing techniques are desired by many researchers in business and economic studies. A common use case is the data scraped from Internet. Researchers can process it using the algorithm called named entity linking. It finds concepts in texts (e.g., organisations, persons and locations) and links these concepts to entities in a knowledge base.

UB Mannheim developed the pipeline spaCyOpenTapioca for named entity linking in spaCy using OpenTapioca. It has low computational requirements and links the concepts to entities in Wikidata. The open source code is available at GitHub. It is supplemented with Jupyter Notebook and reproducible Binder.

Let’s apply spaCyOpenTapioca to the sentence “Christian Drosten works in Charité, Germany.”. It correctly identifies Christian Drosten as a person with Wikidata ID Q1079331, Charité as organisation with Q162684 and Germany as location with Q183. Visualisation of results is also possible:

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.