person ansvarlig for datapitch fredag

Newborn, daycare- and school children 1990-2013

Collection data, Archival material, combination of extract of 3 different IT-systems

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

XML, Acces-db

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

Public historical data from Kolding Municipality (Dette datasæt består af data fra tre kommunale it systemer. Et sundhedsplejesystem hvor man kan følge barnets fysiske udvikling fra fødsel og ind i skoletiden. Et institutionssystem med data omkring barnet fra dagtilbud til skolealderen. Her findes data omkring institutionen, om barnet og meget mere. Det sidste system er et skolesystem, hvor man finder oplysninger om barnets skole, om fravær, skolestart og oplysninger på det enkelte barn.)

I dag er det ikke muligt at følge et barn fra vugge til skole, da data er forankret i flere systemer. Kan man med disse data eksempelvis sige noget om hvorvidt fraværet i skolen hænger sammen med om man har været i dagpleje eller i en integreret institution? Er der forskel på det enkelte barns udvikling i højde og vægt og det fravær man har i skolen eller typen af institution man har gået i?

Anders Hell Hansen

Museum Sønderjyland - Sønderborg slot

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

XML, Acces-db

https://mitstadsarkiv.kolding.dk/projekter/hack4dk-wwi-casualities/

Dette er en database over de sønderjyske soldater der deltog på tysk side i første verdenskrig. Der findes ikke en tilsvarende database med den tæthed af oplysninger andetsteds i verden. Dette er en unik beskrivelse af de enkelte soldater. Databasen er baseret en lang række af kilder der i mange år har fungerer uafhængigt af hinanden.

Der har aldrig været en systematisk tilgang til disse data; er der en sammenhæng mellem regiment og alder på den enkelte soldat? var der flest deltagere fra Tønder amt? På hvilket tidspunkt blev mænd fra Haderslev indkaldt?

Anders Hell Hansen

andha@kolding.dk

Copenhagen City Archives

CSV-files here: https://drive.google.com/drive/folders/17z0-yDuQs9oxTRDno1pe09XWT28KBjii MySQL-database at: http://hack4dk-cluster.cluster-cf2nstf005qs.eu-west-1.rds.amazonaws.com User: hack4dk_edit Pass: hack4dk_now

SQL and CSV

https://docs.google.com/document/d/1p9KgMh-jNHhMTam0ZN9Q8IlHTq_hJEYQVFjL-FcOoYw/edit?usp=sharing

The dataset contain information transcribed from Copenhagen burials records from 1861 to 1912. Each burial entry hold the information: name, position, age, date of death, age, gender, address, chapel, parish and cemetery.

Visualization - graphs, videos, animations ect
Where and who died of what?
Where is the most deadly hood to live as a child?
Show death cause patterns may be possible epidemics
Which occupations is the most deadly?
Inspiration: Gapminder,


Link individuals - within registration sheets and across to burials
How many can be linked?

Bo Henriksen (Twitter: @stumpdk)

Bo Henriksen (Twitter: @stumpdk)

The Copenhagen Population 1890-1923 (Police registration sheets)

Copenhagen City Archives

CSV-files here: https://drive.google.com/drive/folders/17z0-yDuQs9oxTRDno1pe09XWT28KBjii MySQL-database at: http://hack4dk-cluster.cluster-cf2nstf005qs.eu-west-1.rds.amazonaws.com

SQL and CSV

https://docs.google.com/document/d/1a0LFirWI5v7pFygH-UXFRaeh-xrFw_048o87UBPOS_U

The dataset contain information transcribed from Police Registration Sheets from 1890 to 1923. The information includes personal information such as names, gender, birthdates, addresses (some geotagged), working positions and relationships between family members.

Visualization - graphs, videos, animations ect
Where and who died of what?
Where is the most deadly hood to live as a child?
Show death cause patterns may be possible epidemics
Which occupations is the most deadly?
Inspiration: Gapminder,


Link individuals - within registration sheets and across to burials
How many can be linked?
How sure can we be in the linking? (Number of fields matching or near matching)

Bo Henriksen (Twitter: @stumpdk)

Bo Henriksen (Twitter: @stumpdk)

Copenhagen City Archives

OCR text extracted from printed books

ZIP-file containing 150 MB clean text (from OCR). Get it here: https://drive.google.com/drive/folders/17z0-yDuQs9oxTRDno1pe09XWT28KBjii

https://drive.google.com/open?id=1uOvtiOaB5RRVlDGXAC8izspaCyEieO9pJwmRl19Hr8I

The police notices were used by local police authorities to notify about crimes and as a register from which suspects could be identified. As such, the material containes names, places, dates and descriptions of most crimes and suspects in Denmark in the period.

Bo Henriksen (Twitter: @stumpdk)

Bo Henriksen (Twitter: @stumpdk)

Collection data, user behavior data

ZIP-file containing 150 MB clean text (from OCR). Get it here: https://drive.google.com/drive/folders/17z0-yDuQs9oxTRDno1pe09XWT28KBjii

The Naitonal Museum of Denmark

Images, Video, Geodata, Collection data, Archival material

ZIP-file containing 150 MB clean text (from OCR). Get it here: https://drive.google.com/drive/folders/17z0-yDuQs9oxTRDno1pe09XWT28KBjii

CC-BY-SA, Public Domain

Automatic image tagging
Visualization of content on maps
Mashups with other heritage collections
Graph-visualization of collection connections
Named Entity Recognition analysis of data
Content could be used for many kinds of projects.

https://docs.google.com/spreadsheets/d/1A5AQBdHpO-GiwXyypjpA0BZofQLCwpL5lLv3bDHfkGM/edit?usp=sharing

jsn@skagenskunstmuseer.dk

Collection of OCR txt, csv files

Digital Collections from the Royal Danish Library – National Library

Royal Danish Library, Copenhagen

Images, Collection data, Archival material

http://labs.kb.dk:8080/copapi/swagger/

Approximately 135.000 photographs, 17.000 maps, 500 manuscripts, 20.000 pamphlets and corporate publications as well as a large collection of letters from the collections of the National library: http://www.kb.dk/editions/any/2009/jul/editions/da/

Assigning different kinds of authoritative references to the data, e.g. geo-references, persons, events and concepts, in order to link data from various collections and institutions. This could be done with Linked-Open-data (LOD) or other datasets.
(See detailed description at GitHub: https://github.com/Det-Kongelige-Bibliotek/access-digital-objects)

Mette Kia Krabbe Meyer (mkkm@kb.dk) og Stig Svenningsen (stsv@kb.dk)

Images, Geodata, Collection data

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

Flickr API, Google API

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

Family history tools, facial recognition, artistic projects, local history, presentation platforms, mash-up with other collections

Images, Collection data

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

Flickr API, Google API

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

Family history tools, presentations platforms, facial recognition, curation tools, user-engagement, mash-up with other collections

Images, Collection data

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

https://mitstadsarkiv.kolding.dk/projekter/hack4-dk/

DIY-tools, crowdsourcing tools, sharing of information

ENIGMA - Museum of Communication / PostNord

https://www.dropbox.com/s/l0pp1hl9rqqvzxz/frimaerker.sql?dl=0

All rights reserved

http://frimaerker.ptt-museum.dk/

Visualizations of the data. Image recognition and analysis of the motives. A playable and more fun way to interact with the collection online or in exhibitions.

Martin Gerster Johansen

ENIGMA - Museum of Communication / PostNord

https://www.dropbox.com/s/6wup34gxbgcqw98/frimaerker_0001-1845.zip?dl=0

All rights reserved

Zipped JPG-images (1.1 GB)

http://frimaerker.ptt-museum.dk/

Visualizations of the data. Image recognition and analysis of the motives. A playable and more fun way to interact with the collection online or in exhibitions.

Martin Gerster Johansen

Images, Video, Collection data

https://www.dropbox.com/s/vmmdezplb41h5ji/Tintoys%20-%20datas%C3%A6t%20Hack4DK%202017.docx?dl=0

https://www.dropbox.com/s/vmmdezplb41h5ji/Tintoys%20-%20datas%C3%A6t%20Hack4DK%202017.docx?dl=0

mk@kulmus.dk; mette.klingenberg@holstebro-museum.dk

DR Broadcast schedules (Programoversigter)

https://drive.google.com/file/d/0BySUN5L9qnRHT2hsbEZ6NVlGOWc/view

https://docs.google.com/document/d/1ppDQRgAViAQb8bcdvdrR5IBFPJHAHNh-K4aypqUaArM/edit#heading=h.m65qpdn8gmfp

1) Udvikling over tid 2) kronologisk kombineret med andre datasæt

DR + ? The data set is made available with no costs, only to participants at HACK4DK in the event period 9.11.18 - 30.11.18 for the specific purpose of creating new concepts or solutions for the event. The data set or new concepts displaying the data set, cannot be made available to the public, published, exploited or turned over to 3rd parties without prior permission from DR. DR cannot be held responsible for the publication of content from the data set that belongs to 3rd parties. By using the DR data set “TVA 1965-1968” at HACK4DK 2018, the user complies to the conditions of this agreement.

Danish TV News features from the premiere of the flagship programme "TV-Avisen" in 1965 and three years onwards.
The data set “TVA 1965-1968” consists of 10.029 files and descriptive metadata from DR’s news collection from the premiere of “TV-Avisen” 15th October 1965 and three years onwards.

- Facial recognition
- New ways to recognise potential copyright greyzone material

Helle Bech Madsen hema@dr.dk

SMK – Statens Museum for Kunst

Collection Data, Images

https://docs.google.com/document/d/1Bc29Xj_BYVVeBgSBIprylQeaBF2ywX1Z2a4nUJvssyI/edit#heading=h.fzxmmyodh0w4

Datavisualisering, Virtuelt museum, Spil

jonas.smith@smk.dk

https://historiskebilleder.danskkulturarv.dk/api/images/search?term=sofa&dataType=json&method=get&cache=false

DR pressefotos fra perioden 1950erne-1980erne. Important endpoints: /images/random (GETs a random image). /images/search?term={search_for_some_tag}. /images/{offset}/{limit} (GETs a list of images). /image/{id} (GETs a single image with metadata)

Different licenses

Samlingen af anskuelsestavler består af cirka 12.500 danske og udenlandske anskuelsesbilleder, primært fra perioden 1800-1950 og er én af Europas største. Mange af tavlerne er lavet af datidens kunstnere, evt. i et samarbejde med en lærer eller videnskabsfolk, som kunne instruere i korrekt afbildning.

Håndtering og præsentation af store mængder billeder i f.eks. temaer. Kreativ leg med tavler, som skal bruges i en digital udstilling om Danmarks oldtid og klimaforandringer.

https://drive.google.com/drive/folders/1Hc0562ymGQZtFRNkHqU6jTIpOmKXx9_Y?usp=sharing