ImpactCity | Green Deal Data Observatory

New Data Curators Wanted

Wed, 09 Nov 2022 11:46:00 +0100

A data curator is a contributor in our open collaboration who will be named as a co-creator of tidy, standardized, reusable, FAIR, datasets in his/her field of expertise. Our curators help us vocalize the needs of their domain, be it data-driven beekeeping, or detecting algorithmic biases of recommender systems, and evaluates if the data that we come up with is directly usable and actionable. A data curator is a similar co-author as a “contributor” to open source software or a co-author of a journal article.

Table of Contents

Boost your career without a conflict of interest

Being a data curator does not mean a commercial affiliation with any observatory partners, it is an affiliation to jointly create intellectual property. All our data curators are identified by their ORCiD ideas and named as co-creators in the open science repositories where we make our data available.

We create CC0 data that can be used for commercial, academic, and policy purposes. However, we want to honor the intellectual investment into a shared intellectual property by

delaying the release (for remaining competitive in academic publishing, if our curator is using the data in new articles; or NGOs for their campaign)
creating hybrid assets for commercial users where some elements, particularly the ones that use their proprietary data, may not become open data.

FAIR: Findable, Accessible, Interoperable, and Reusable Digital Assets

Our observatories do not only work with open data.

We want to make data findable, interoperable (to be used in many applications), accessible, and eventually reusable (FAIR), but that does not mean that all data used must be free. Creating and especially regularly updating high-quality data assets requires plenty of intellectual and monetary investment.

We gladly add commercially available data to our observatory if we can share a large enough subset that our peer-reviewers can attest to the data’s high quality, usability, and actionability.

How to become a data curator?

Our handbook for curators a bit of a work in progress, but the onboarding process is clear. Do not worry if you do not use GitHub, it is not necessary, but we story and co-create our assets, including the curator’s handbook on this digital co-working place.

This is an open book that we co-create on GitHub, and if you find any roadblocks, you do not understand something, or have a better idea on how to illustrate or explain things, just make a for to this repo, improve it, add new photos, and send us a pull request. (You need an invite first for editing!)
Here is a starter repository on GitHub. Not mandatory, but if you use GitHub, start here.

In a nutshell:

Please read the entire covenant here.
We need a very brief biography. Name, affiliation, education details, one-line and short biography. Please, send back this bio_template.txt text file. If you know markdown, use this version. The files are identical, but your word processor may not know how to open an .md file.
Your ORCiD to resolve ambiguity with similarly named people. You may use different library or publication service IDs, such as Google Scholar, Publeon, etc, you may provide them, too, but we do need an ORCiD ID, because most of the EU open science infrastructure and the R ecosystem uses this one. If you do not have it, please create one—it only takes a few minutes. Please add it to the bio_template.txt.
Your LinkedIn ID, add it to the bio_template.txt.
You should follow our file naming conventions, and avoid the use of special characters in any file names at all times: , $, :,;,,,., ", ' tick or backtick.
You must send a ile picture that is at least 500px wide (jpg or png format.) It can be bigger, and preferably not a very “narrow” cut, as all avatars will be behind a circular mask (see other curators.)

Find inspiration from other contributors

Why data observatories?

Our data observatories (platform products) cover our R&D and platform costs while giving us access to an expanding range of prime clients. We use 21-st century open-source data engineering solutions, a decentralized data governance method, and web 3.0 technologies to avoid conflicts of interest and prevent the data Sisyphus of error-prone human data wrangling. There is little competition on this service level (there are about 60 UN/EU/OECD recognized data observatories, and almost all of them are managed by a different operator.) This layer is already monetized, and we have proven success. Our unique advantage is a combination of legal and technological skills: understanding legally open data, web 3.0, and data modeling, and the ability to participate in the open-source statistical /scientific software creator community.
We create open-source software applications that fuel our data observatories with unprocessed, open, linked data. We create software for the R statistical environment, which is used in both official statistics and in many business and academic organizations. The production of R software components is a competitive field, but we believe that our position is strong: the vast majority of R packages are lightly or not at all serviced because of the lack of financing.

We provide bespoke analytics solutions to our institutional partners in our data observatories. Such bespoke solutions iterate over our existing software components, helping us design better applications within an ever-expanding ecosystem. Providing tailored data-science services would require a large organization without a clear focus. We provide these services on an ad-hoc basis only among institutional partners and users of our data observatories. In these circles, which are often prime clients, we face little or no competition because we are trusted partners and data and solution providers. This is a key to our revenue and market growth.
We develop high-value software-as-service applications that leverage our data observatory assets and our software solution into a novel, commercially valuable uses. Our applications are built around our family of open-source software and generalize our bespoke analytics solutions. We are in a late prototype phase where we already have some revenue and are trying to prepare for scaling up at the correct price with three of our applications. All of our applications are entering into highly competitive market segments. We are building on our ‘unfair’ advantage that we are bundling our solutions with data that is not accessible to competitors, and we can test them in the protected ecosystems of our observatories.

Good to know

FAIR Principles: improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
DataCite: A persistent, standardized approach to access, identification, sharing, and re-use of datasets—this is our favored way of describing data for future use according to the FAIR principles. Many EU open science repositories will ask your publications with this documentation.
Biblatex is a standard text file used by citation engines, bibliography management tool, and in scientific publication templates. (See for example the Overleaf Biblatex tutorial.
Dublin Core is an older international standard than DataCite, but the two standards greatly overlap. Dublin Core was originally developed by libraries. You often may need to fill out Dublin Core properties for publication.

Watch Our 2-min Introduction

⚙️/ Subtitles/ 🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

Vote Reprex :)

Go to Cast your vote for The Hague Innovators challenge 2022! and choose Reprex :)

Big Data for All: Building Collaborative Data Observatories

Thu, 03 Nov 2022 17:30:00 +0000

Reprex’s co-founder, Daniel Antal talked in the Eindhoven Innovation Café about these issues. You can watch the recorded version of the the livestream that starts at 5 minutes and 22 seconds:

This is a past event. Check out our forthcoming events or write to Daniel Antal or to antaldaniel. Or send an email.

The event invitation text and links

Big data and AI creates inequalities. It puts historically marginalized people, like ethnic minorities, and womxn, at a disadvantage. Because AI and checking on AI require plenty of data, usually only giant corporations, the wealthiest governments, and university entities can make it work for them. Reprex is a Hague-based, international startup that wants to impact various sustainable development goals by enabling smaller organizations to join their smaller datasets, use open data, create linked available data, and collaboratively make a change.

Reprex is a finalist for the Hague Innovation Award for impact startup (please 🙏, vote for us!). Daniel Antal, one of the co-founders, will talk about their approach to building an international coalition of music organizations to pool data and challenge data monopolies using organizational techniques, a collaboration ethos, and data from the open-source developer world.

Using the example of independent music creators, who often find themselves in a position where it is more expensive to claim their money from global platforms, he will talk about how to reduce inequalities in the world of big data and AI with collaboration on web 3.0. In the Q&A he will take questions on how to apply their know-how, and generally linked open data to other art+tech or creative segments or problems for which everybody is too small, like meeting the Paris Accord greenhouse gas targets bit by bit, small company by small company.

In the Q&A, we can discuss many things

How can Reprex help an individual creator in music, or in fashion and design, or any other area?
What sort of help it can give to researchers, research institutes, specialist consultancies, law firms, and other knowledge-based actors?

What sort of partners is Reprex looking for in Eindhoven?

Check out our projects

Digital Music Observatory and Listen Local
Cultural & Creative Sectors and Industries Observatory and short call for potential partners.
Green Deal Data Observatory and simple, connected, financial and sustainability reporting for creative enterprises and others

Reprex: the impact startup

Check out our accomplishments since the foundation in 2020

Big Data for All: Building Collaborative Data Observatories

Thu, 03 Nov 2022 17:30:00 +0000

Reprex’s co-founder, Daniel Antal talked in the Eindhoven Innovation Café about these issues. You can watch the recorded version of the the livestream that starts at 5 minutes and 22 seconds:

This is a past event. Check out our forthcoming events or write to Daniel Antal or to antaldaniel. Or send an email.

The event invitation text and links

In the Q&A, we can discuss many things

How can Reprex help an individual creator in music, or in fashion and design, or any other area?
What sort of help it can give to researchers, research institutes, specialist consultancies, law firms, and other knowledge-based actors?

What sort of partners is Reprex looking for in Eindhoven?

Check out our projects

Digital Music Observatory and Listen Local
Cultural & Creative Sectors and Industries Observatory and short call for potential partners.
Green Deal Data Observatory and simple, connected, financial and sustainability reporting for creative enterprises and others

Reprex: the impact startup

Check out our accomplishments since the foundation in 2020

BeeSage: Data-driven Beekeeping for Productivity and Sustainability

Mon, 31 Oct 2022 12:00:00 +0000

BeeSage is an early stage startup which is contesting the The Hague Innovators Award in the pre-startup category. They are evangelizing data-driven beekeeping for productivity and sustainability, Reprex is an impact scale-up in the other category of this competition for more mature startups that is building collaborative, open scholarly data infrastructure, so-called data observatories to support the needs of various data-driven policy, business, or scientific innovation.

We met in the ImpactCity initiative of The Hague, and we’d like to build on The Hague impact startup ecosystem by combining our respective strengths so we decided to join forces! We both want to win in The Hague Innovators’ Challenge in 2022, but we only compete for the votes of the audience. Through our cooperation, we would like to increase the viability of BeeSage in the pre-startup category and increase the value proposition of Reprex in the startup category to the jury in ImpactFest.

Remote team of engineers in the Netherlands, Latvia and Portugal.

BeeSage modular beehive monitoring system boosts productivity and honey yield to benefit the Earth through data-driven pollination. Their software and hardware such as Smart Beehive Scales help beekeepers mitigate risks and enable informed decisions, while turning every apiary into a weather station.

They are also building HiveMap as a data analytics software, which enables beekeeper associations, environmental organizations and other stakeholders to turn beehive and remove sensing data into valuable insights. This product can be greatly enhanced through the latest data from Europe’s Copernicus satellites, from meteorological and air pollution sources. This is where Reprex’s Green Deal Data Observatory comes into the picture.

BeeSage is building HiveMap as a data analytics software.

Beekeepers associations, small research groups, or Ecotech startups cannot afford to build a full team of data engineers, data scientists, and statisticians to tap into components of raw inflation data (to find honey price or food value chain data), to create validated and continuously maintained data pipelines from environmental satellites, the data warehouses of Eurostat and the European Environmental Agency. They cannot hire small-area statisticians and ecological regression experts to create ecological and key business indicators for small tracts of land that are directly relevant to the health of a honeybee colony.

Reprex produces open-source scientific software, and various collaborative data engineering infrastructures to get legally open governmental data and open science data in a timely, usable format to ecological researchers, beekeeper associations, and Ecotech startups like BeeSage. The European Union legally opened up vast arrays of scientific and governmental data sources for commercial and scientific reuse, but investment into re-processing and validating data that was originally collected for a different primary cause requires plenty of private investment.

Reprex’s data observatories, particularly the Green Deal Data Observatory are public-private partnerships that foster the collective collection, processing, peer-review, and reuse of novel big data, like BeeSage’s beehive data, and reusable statistical and environmental data. We hope to place the permanent institution of this PPP in the Hague, which is already the World’s Smartest City, and which wants to remain a global centre of excellence of peace, justice, and sustainability in the era of big data and AI.

Reprex: Big Data For All

Mon, 31 Oct 2022 12:00:00 +0000

Reprex is the Hague-based impact startup developing decentralized, modern, web 3.0-compatible data observatories. Our mission is to fulfill parts of the SDG 16 and 17 goals: based on the open collaboration method of open-source software development and open knowledge management, we would like to enable impact makers to contribute to other SDG goals by making AI and big data work for them.

Table of Contents

Watch Our 2-min Introduction

⚙️/ Subtitles/ 🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

How To Vote?

Go to Cast your vote for The Hague Innovators challenge 2022! and choose Reprex :)

Make sure you select Reprex and write in your email (it is safe here.) You need to tick `✅ I’m not a robot’ to be able to select companies. Further instructions 🇬🇧 here 🇭🇺 magyarul itt.

What do we do in the European Green Deal?

The Green Deal Data Observatory was our first test to bring our information management, data access, and processing know-how to new data sources (such as environmental satellite data, hydrological data, etc.) after music.
Due to the mainstreaming of SDG and ESG reporting, many features are developed with our music partners and overlap with the Competition Data Observatory.
We are looking for reliable data that can be processed into computational antitrust and policy evidence in relationship with SDG 11 to enhance inclusive and sustainable urbanization, SDG 12 to ensure sustainable consumption and production patterns, SDG 13 to take urgent action to combat climate change and its impacts within the partnership approach of SDG 17.

Product

Our data observatories (platform products) cover our R&D and platform costs while giving us access to an expanding range of prime clients. We use 21-st century open-source data engineering solutions, a decentralized data governance method, and web 3.0 technologies to avoid conflicts of interest and prevent the data Sisyphus of error-prone human data wrangling. There is little competition on this service level (there are about 60 UN/EU/OECD recognized data observatories, and almost all of them are managed by a different operator.) This layer is already monetized, and we have proven success. Our unique advantage is a combination of legal and technological skills: understanding legally open data, web 3.0, and data modeling, and the ability to participate in the open-source statistical /scientific software creator community.
We create open-source software applications that fuel our data observatories with unprocessed, open, linked data. We create software for the R statistical environment, which is used in both official statistics and in many business and academic organizations. The production of R software components is a competitive field, but we believe that our position is strong: the vast majority of R packages are lightly or not at all serviced because of the lack of financing.

We provide bespoke analytics solutions to our institutional partners in our data observatories. Such bespoke solutions iterate over our existing software components, helping us design better applications within an ever-expanding ecosystem. Providing tailored data-science services would require a large organization without a clear focus. We provide these services on an ad-hoc basis only among institutional partners and users of our data observatories. In these circles, which are often prime clients, we face little or no competition because we are trusted partners and data and solution providers. This is a key to our revenue and market growth.
We develop high-value software-as-service applications that leverage our data observatory assets and our software solution into a novel, commercially valuable uses. Our applications are built around our family of open-source software and generalize our bespoke analytics solutions. We are in a late prototype phase where we already have some revenue and are trying to prepare for scaling up at the correct price with three of our applications. All of our applications are entering into highly competitive market segments. We are building on our ‘unfair’ advantage that we are bundling our solutions with data that is not accessible to competitors, and we can test them in the protected ecosystems of our observatories.

Plans in The Hague?

Our message is simple: doing business and doing good for the city of the Hague means a vote for Reprex. We would like to win the Hague Innovators Challenge in 2022 because we believe we could multiply our growth in partnership with the Hague. We have a significant budget to develop our observatories, and our company is already located in the Hague, in Apollo 14—but most of our team members, not to mention the observatory’s non-data personnel are not based in our beautiful and smart city. The observatories are important platforms for our growth, and they could create a lot more jobs and impact in the city than in our startup company. Should we win the prize, we would spend the 25,000 euros on one thing: to develop our observatories into a real public-private partnership in the Hague, with a permanent office in Apollo 14 or the Hague Humanity Hub.

Please Choose Reprex in The Hague Innovators Award Online Vote

Sat, 29 Oct 2022 16:17:00 +0200

Table of Contents

🇭🇺 magyarul

How to vote?

Go to Cast your vote for The Hague Innovators challenge 2022!

Make sure you select Reprex and write in your email (it is safe here.) You need to tick `✅ I’m not a robot’ to be able to select companies.

Your vote is not final yet, you must click on a confirmation link to prove that it was you who voted. Go to your email. (Your email is only recorded to avoid double voting, they will not add your address to any marketing databases.)

Please make sure you chose Reprex and click on link to the confirmation your vote.

You receive a text that your code is recorded and you have nothing else to do. (Your address is safe with the municipality of The Hague.)

Thank you very much!

Please share our video message on YouTube among your colleagues and friends.

By pressing the ⚙️ and choosing subtitles you can choose your language. If you are there, please leave a 👍, too :)

The message is the message! We are an ethical data and AI company, and one of our topics is detecting if algorithms are biased towards the English language speakers. We want to teach the computer to understand small languages, and of course, everyone, who is under-represented in data: womxn, former colonial nations.

🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

2 Retweet our appeal from one of our observatory Twitter accounts. For music audiences:

💜 We ask you, humbly, to support us with a vote or by sharing our appeal. We're part of the #opensource, #opendata, and #openscience movement that depends on your support to stay online and thriving, but many of our users or simply look the other way🤦🏻‍♀️https://t.co/Qcdh7saPpW
— Competition Data Observatory (@CompDataObs) November 6, 2022

The same message forgeneral cultural audiences: @CultDataObs; for music audiences: @DigitalMusicObs, for green audeinces @GreenDealObs

Like our LinkedIn page and share our appeal.
Or just send the link to this post from the browser your colleagues and friends.

Why vote for us?

We are finalists in The Hague Innovation Awards with a product offering and a message that big data and AI should work for all: ethnic minorities, small nations, small languages, womxn. We are measuring why certain artists are not getting recommended and paid on global streaming platforms, or why NGOs do not find the right data about fighting greenwashing. We want to help small businesses, civil society organizations, and NGOs who cannot hire a data engineer and a data scientist to fight data monopolies. Who cannot defend themselves from the dark patterns of greedy algorithms?

Get in touch

Check out our events or write to Daniel Antal or to antaldaniel. Or send an email. Thank you!

Szavazz a Reprexre!

Tue, 29 Sep 2020 10:00:00 +0000

Table of Contents

Hogyan tudsz szavazni?

Klikkelj a Cast your vote for The Hague Innovators challenge 2022 oldalra!

A jobb oldali görgetővel scrollozz le addig, amíg a szavazólapot nem látod. Válaszd ki a Reprex címet és írd be az email címedet.

A szavazatod még nem érvényes, azt meg kell erősítened. Lépj be abba az email fiókba, amit az előbb megadtál. (Az email címedet nem használják marketing célokra, nem adják át másnak, csak azért rögzítik, hogy kizárják a többszöri szavazást.)

Ellenőrizd, hogy valóban a Reprex vállatnév van az angol nyelvű szövegben és klikkelj az angol szöveg utáni linkre. Ezzel megerősíted, hogy valóban ránk akarsz szavazni (Köszi!)

Egy megerősítő szövegre leszel átirányítva, ami hollandul (vagy angolul) annyit mond, hogy a szavazatodat megerősítették és nincsen több tennivalód.

Ha ezt látod, akkor nagyon szépen köszönjük a fáradozásodat. De azért nekünk még segíthetsz ezzel-azzal…

Hogyan terjesztheted ezt a felhívást?

Oszd meg kérlek a videó bemutatkozónkat a YouTube oldalról a barátaiddal, kollégáiddal, alkotótársaiddal.

A ⚙️ jel megnyomásával több opció jelenik meg. A subtitles segít kiválasztani a feliratozás nyelvét, ebből a Hungarian lesz a magyar:) Ha már arra jársz, kérlek, dobj ránk egy 👍 lájkot is, jól esik :)

Az üzenetünk maga az üzenet. Egy olyan etikus startup vállalkozás vagyunk, aminek az egyik célja az, hogy csökkentse a nem angol nyelvű alkotók, a nők, a kisebbségek hátrányát a nagy, big data és AI vezérelte globális internet platformokon, például a YouTube vagy a Spotify oldalán. Ezek az oldalak egyre inkább gépi tanulással működnek, és ha nincsen elég információjuk a magyarokról, nőkről, székelyekről, akkor senkinek nem fogják a mi tartalmainkat ajánlani.

Ezeken a nyelveken is elérhető az üzenetünk:

🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

2 Oszd meg a Twitteren (ha használod ezt a közösségi médiát) a felhívásunknak. Zenei körökben lehetőleg ezt:

💚 We ask you, humbly, to support us with a vote or by sharing our appeal. We're part of the #opensource, #opendata, and #openscience movement that depends on your support to stay online and thriving, but many of our users simply look the other way🤦🏻‍♀️
— Green Deal Data Observatory (@GreenDealObs) November 1, 2022

Általános kulturális körökben inkább ezt: @CultDataObs; zenei körökben meg ezt: @DigitalMusicObs.

Lájkold a LinkedIn oldalunkat és ha teheted, ott is oszd meg a felhívásunkat néhány kedves magyar szó kíséretében.
Vagy csak egyszerűen küld el ennek az oldalnak az URL linkjét a böngésződből barátaidnak, kollégáidnak, alkotótársaidnak.

Miért szavazz ránk?

Döntősök vagyunk egy nagyon fontos hollandiai versenyben: a The Hague Innovation Awardért vagyunk versenyben 7 másik olyan vállalkozással, amelyik fenntarthatóbbá, jobbá akarja tenni a világot. Mi azért harcolunk, hogy a big data és az AI mindenkinek működjön: az etnikai kisebbségek, kis országok, nők, ne újabb versenyhátrányba kerüljenek, hanem egyenelő esélyeket kapjanak az algoritmusoktól. Azzal foglalkozunk, hogy az olyan kis országok zenészeit, mint Magyarország, miért nem ajánlják a globális streaming szolgáltatók még magyaroknak sem, vagy a civilek miért nem találnak bizonyítékokat a hamis öko-reklámok ellen. Minden olyan kisvállalkozásnak, egyéni alkotónak, civil szervezetnek szeretnénk segíteni, akiknek nincsen pénzük arra, hogy adattudósokat, adat mérnököket, statisztikusokat alkalmazzanak, hogy megvédjék magukat a sötét és kapzsi algoritmusokkal szemben. Ehhez olyan kollektív megoldásokat kínálunk, amiket a zenészek, a kulturális szféra szereplői, vagy a zöld szervezetek közösen tudnak használni.

Lépjünk kapcsolatba!

Írj a Daniel Antal vagy a antaldaniel címre, vagy egyszerűen küldj egy emailt. Köszönjük szépen a segítségedet!

ImpactCity | Green Deal Data Observatory

New Data Curators Wanted

Boost your career without a conflict of interest

FAIR: Findable, Accessible, Interoperable, and Reusable Digital Assets

How to become a data curator?

Find inspiration from other contributors

Why data observatories?

Good to know

Watch Our 2-min Introduction

Vote Reprex :)

Big Data for All: Building Collaborative Data Observatories

The event invitation text and links

In the Q&A, we can discuss many things

Check out our projects

Reprex: the impact startup

Big Data for All: Building Collaborative Data Observatories

The event invitation text and links

In the Q&A, we can discuss many things

Check out our projects

Reprex: the impact startup

BeeSage: Data-driven Beekeeping for Productivity and Sustainability

Reprex: Big Data For All

Watch Our 2-min Introduction

How To Vote?

What do we do in the European Green Deal?

Product

Plans in The Hague?

Please Choose Reprex in The Hague Innovators Award Online Vote

How to vote?

How to share the word?

Why vote for us?

Get in touch

Szavazz a Reprexre!

Hogyan tudsz szavazni?

Hogyan terjesztheted ezt a felhívást?

Miért szavazz ránk?

Lépjünk kapcsolatba!